clean up and token

VSF/.gitignore

@@ -1,7 +0,0 @@
-experiments/wandb
-**/__pycache__
-experiments/wandb
-comfyui/models
-experiments/video_reward/videos
-experiments/results_nasa
-**/.env

VSF/LICENSE

@@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2025 Marshall
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

VSF/README.md

@@ -1,228 +0,0 @@
-# VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip
-This project is experimental; please leave your feedback in issues or contact us. 
-Email: email@weasoft.com
-
-[Web Page](https://vsf.weasoft.com/)
-## Preprint
-[![arXiv](https://img.shields.io/badge/arXiv-2508.10931-b31b1b.svg)](https://arxiv.org/abs/2508.10931)
-
-
-## Web Demo for Wan 2.1 VSF
-Wan 2.1 web demo [https://huggingface.co/spaces/weathon/VSF](https://huggingface.co/spaces/weathon/VSF)
-
-
-
-## Introduction
-This project introduces a new method called Value Sign Flip (VSF) that improves how image generation models handle negative prompts.
-
-Problem: Modern few-step text-to-image models often struggle to properly exclude concepts described in negative prompts. Existing methods (CFG) either don’t work well or require heavy changes to the model (NegationCLIP).
-
-Solution (VSF): We propose a lightweight technique that flips the value vector of negative prompt embeddings during attention. This cancels out unwanted features without retraining or needing access to classifier-free ⚡️.
-
-Key Advantages:
-
-- ⚡ Works with few-step and even single-step generation models (currently only supports SD3.5, Flux, and Wan), able to generate video with negative guidance in 30s. (480p, Wan 1.3B, 81 frames)
-- 🔧 Requires no model retraining.
-- 🚫 Avoids common issues like negative prompts being accidentally reinforcing the undesired concept.
-- 🎯 Includes attention masking and token duplication to isolate effects to only where needed.
-
-## ComfyUI
-ComfyUI custom node is available at [comfyui](comfyui/), make sure you have the diffusers installed in your Comfy envirement
-
-## News
-- 📄 July 26, 2025: Preprint uploaded
-- 🎇 July 26, 2025: First version of ComfyUI node added
-- 🤗 July 19, 2025: HuggingFace Space demo for Wan added
-- 📼 July 17, 2025: We now had experimental support for Wan 2.1
-- 🖼️ July 16, 2025: We now support Flux Dev and Flux Schnell
-- 🎨 July 15, 2025: We open sourced our repo and has support for SD3.5-large-turbo
-
-## Examples
-### SD3.5
-<img width="1045" height="459" alt="image" src="https://github.com/user-attachments/assets/751e06db-bbd3-4c1b-b208-c384100efeea" />
-This is an SD3.5 example; the green prompt is the positive prompt, and the red text is the negative prompt. 
-
-### Flux
-<img width="1024" height="1024" alt="image" src="https://github.com/user-attachments/assets/49068cac-e737-4f91-be95-b48d337e2e73" />
-Positive Prompt: `a chef cat making a cake in the kitchen, the kitchen is modern and well-lit, the text on cake is saying 'I LOVE AI, the whole image is in oil paint style'`
-
-Negative Prompt: `chef hat`
-
-Scale: `3.5`
-
-
-<img width="1024" height="1024" alt="image" src="https://github.com/user-attachments/assets/be934907-14f7-44e0-bb5f-c59177cb80c0" />
-Positive Prompt: `a chef cat making a cake in the kitchen, the kitchen is modern and well-lit, the text on cake is saying 'I LOVE AI, the whole image is in oil paint style'`
-
-Negative Prompt: `icing`
-
-Scale: `4`
-
-
-
-
-[This video](media/flux_demo.mp4) shows a positive prompt of `a canadian winter landscape in the style of a 19th century painting` and negative prompt of `snow` at different scale, from 1 to 8.9 ([Code](flux_demo.py)). We can see as the scale increase the snow is decreasing. 
-
-<!-- <video src="media/flux_demo.mp4" controls preload></video> -->
-
-### Wan 2.1
-Please checkout our examples in [https://vsf.weasoft.com/](https://vsf.weasoft.com/).
-## Usage
-You can clone this repo into your working folder, and execute the following code. We subjectively find that SD3.5 version is better at following negative prompt while Flux Schnell version has better quality. It seems like our method did not work well on Flux Dev. 
-
-**Note: the CFG scale has to be set to 0 to use our method. **
-
-### Wan WEb Demo
-Clone the repo, and run `python3 app.py` will start a gradio interface for Wan.
-
-
-### SD3.5-large-turbo
-```python
-import torch
-from src.sd3_pipeline import VSFStableDiffusion3Pipeline
-pipe = VSFStableDiffusion3Pipeline.from_pretrained(
-    "stabilityai/stable-diffusion-3.5-large-turbo",
-    torch_dtype=torch.bfloat16,
-).to("cuda")
-prompt = "A poker table is set in the casino room, green felt stretched tight over the oval surface."
-negative_prompt = "cards"
-image_ours = pipe(
-    prompt=prompt,
-    negative_prompt=negative_prompt,
-    guidance_scale=0.0, # This has to be 0
-    num_inference_steps=8,
-    scale=3.5,
-    offset=0.1
-    generator=torch.Generator("cpu").manual_seed(19)
-).images[0].save("demo.png")
-```
-
-A demo notebook and comparsion with [NAG](https://github.com/ChenDarYen/Normalized-Attention-Guidance/tree/main) can be found in [demo.ipynb](demo.ipynb).
-
-### Flux Schnell
-```python
-import torch
-from src.flux_pipeline import VSFFluxPipeline
-import numpy as np
-import imageio
-
-pipe = VSFFluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to("cuda")
-
-prompt = "a canadian winter landscape in the style of a 19th century painting"
-image = pipe(
-    prompt,
-    negative_prompt="snow on the ground",
-    guidance_scale=0.0,
-    num_inference_steps=8,
-    max_sequence_length=256,
-    scale=6,
-    generator=torch.Generator("cpu").manual_seed(19)
-).images[0].save("demo.png")
-```
-
-### Flux Dev
-(Our method doesn't seem to work on Flux Dev)
-```python
-import torch
-from src.flux_pipeline import VSFFluxPipeline
-import numpy as np
-import imageio
-
-pipe = VSFFluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda")
-
-prompt = "a bike on a snowy road in the style of a 19th century painting"
-image = pipe(
-    prompt,
-    negative_prompt="wheels",
-    guidance_scale=0.0,
-    num_inference_steps=32,
-    max_sequence_length=256,
-    scale=8,
-    generator=torch.Generator("cpu").manual_seed(19)
-).images[0].save("demo.png")
-```
-### Wan2.1
-
-Wan 2.1 does not have a complete pipeline yet, so the code is a bit long
-```python
-import torch
-from diffusers import AutoencoderKLWan
-from vsfwan.pipeline import WanPipeline
-from vsfwan.processor import WanAttnProcessor2_0
-from diffusers.utils import export_to_video
-
-model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
-vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
-pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
-pipe.load_lora_weights(
-    "Kijai/WanVideo_comfy",
-    weight_name="Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors",
-    adapter_name="lora"
-) 
-pipe = pipe.to("cuda")
-
-# prompt = "A chef cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The cat is wearing a chef suit"
-# neg_prompt = "chef hat"
-prompt = "A cessna flying over a snowy mountain landscape, with a clear blue sky and fluffy white clouds. The plane is flying at a low altitude, casting a shadow on the snow-covered ground below. The mountains are rugged and steep, with patches of evergreen trees visible in the foreground."
-neg_prompt = "trees"
-
-neg_prompt_embeds, _ = pipe.encode_prompt(
-    prompt=neg_prompt,
-    padding=False,
-    do_classifier_free_guidance=False,
-)
-
-pos_prompt_embeds, _ = pipe.encode_prompt( 
-    prompt=prompt,
-    do_classifier_free_guidance=False, 
-    max_sequence_length=512 - neg_prompt_embeds.shape[1],
-)
-pipe.set_adapters("lora", 0.5)
-
-
-
-neg_len = neg_prompt_embeds.shape[1]
-pos_len = pos_prompt_embeds.shape[1]
-print(neg_len, pos_len)
-height = 480
-width = 832
-frames = 81
-
-img_len = (height//8) * (width//8) * 3 * (frames // 4 + 1) // 12
-print(img_len)
-mask = torch.zeros((1, img_len, pos_len+neg_len)).cuda()
-mask[:, :, -neg_len:] = -0.2 # this should be negative
-
-for block in pipe.transformer.blocks:
-    block.attn2.processor = WanAttnProcessor2_0(scale=1.7, neg_prompt_length=neg_len, attn_mask=mask)
-
-prompt_embeds = torch.cat([pos_prompt_embeds, neg_prompt_embeds], dim=1)
-
-output = pipe(
-    prompt_embeds=prompt_embeds,
-    negative_prompt=neg_prompt,
-    height=height,
-    width=width,
-    num_frames=frames + 1,
-    num_inference_steps=12,
-    guidance_scale=0.0, 
-    generator=torch.Generator(device="cuda").manual_seed(42),
-).frames[0]
-export_to_video(output, "vsf.mp4", fps=15)
-```
-
-
-## To-do List
-This to-do list will be listed in issues. If it is not assigned yet, feel free to assign it to yourself and contribute 
-- [x] Add support for SD3.5-large-turbo 
-- [x] Add support for Flux-Schnell
-- [x] Add Wan2.1 support
-- [x] Gradio Interface
-- [ ] Add full Wan 2.1 work (non-experimental LoRA)
-- [ ] Make Flux-Dev work
-- [ ] Add Comfy-UI custom node
-- [ ] Add Web-UI demo
-
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=weathon/VSF&type=Timeline)](https://www.star-history.com/#weathon/VSF&Timeline)

VSF/app.py

@@ -1,106 +0,0 @@
-import gradio as gr
-import numpy as np
-import imageio
-
-import torch
-from diffusers import AutoencoderKLWan
-from vsfwan.pipeline import WanPipeline
-from vsfwan.processor import WanAttnProcessor2_0
-from diffusers import WanVACEPipeline
-from diffusers.utils import export_to_video
-import uuid
-
-model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
-vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
-pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
-pipe.load_lora_weights(
-    "Kijai/WanVideo_comfy",
-    weight_name="Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors",
-    adapter_name="lora"
-) 
-pipe = pipe.to("cuda")
-height = 480
-width = 832
-import os
-os.makedirs("videos", exist_ok=True)
-def generate_video(positive_prompt, negative_prompt, guidance_scale, bias, step, frames, seed, progress=gr.Progress(track_tqdm=False)):
-    lambda total: progress.tqdm(range(total))
-        
-    print(f"Generating video with params: {positive_prompt}, {negative_prompt}, {guidance_scale}, {bias}, {step}, {frames}")
-    pipe.set_adapters("lora", 0.6)
-    prompt = positive_prompt
-    neg_prompt = negative_prompt
-
-    neg_prompt_embeds, _ = pipe.encode_prompt(
-        prompt=neg_prompt,
-        padding=False,
-        do_classifier_free_guidance=False,
-    )
-
-    pos_prompt_embeds, _ = pipe.encode_prompt( 
-        prompt=prompt,
-        do_classifier_free_guidance=False, 
-        max_sequence_length=512 - neg_prompt_embeds.shape[1],
-    )
-
-    neg_len = neg_prompt_embeds.shape[1]
-    pos_len = pos_prompt_embeds.shape[1]
-    print(neg_len, pos_len)
-
-
-    img_len = (height//8) * (width//8) * 3 * (frames // 4 + 1) // 12
-    print(img_len)
-    mask = torch.zeros((1, img_len, pos_len+neg_len)).cuda()
-    # mask[:, :, -neg_len:] = -torch.inf # this should be negative
-    mask[:, :, -neg_len:] = bias
-
-    for block in pipe.transformer.blocks: 
-        block.attn2.processor = WanAttnProcessor2_0(scale=guidance_scale, neg_prompt_length=neg_len, attn_mask=mask)
-
-    prompt_embeds = torch.cat([pos_prompt_embeds, neg_prompt_embeds], dim=1)
-
-    output = pipe(
-        prompt_embeds=prompt_embeds,
-        negative_prompt=neg_prompt,
-        height=height,
-        width=width,
-        num_frames=frames,
-        num_inference_steps=step,
-        guidance_scale=0.0, 
-        generator=torch.Generator(device="cuda").manual_seed(seed),
-    ).frames[0]
-    path = f"videos/{uuid.uuid4().hex}.mp4"
-    export_to_video(output[5:], path, fps=15)
-    output_path = path
-    with open(output_path.replace(".mp4", ".txt"), "w") as f:
-        f.write(f"Positive Prompt: {positive_prompt}\n")
-        f.write(f"Negative Prompt: {negative_prompt}\n")
-        f.write(f"Guidance Scale: {guidance_scale}\n")
-        f.write(f"Bias: {bias}\n")
-        f.write(f"Steps: {step}\n")
-        f.write(f"Frames: {frames}\n")
-        f.write(f"Seed: {seed}\n")
-    print(f"Video saved to {output_path}")
-    return output_path
-
-    
-with gr.Blocks(title="Value Sign Flip Wan 2.1 Demo") as demo:
-    gr.Markdown("# Value Sign Flip Wan 2.1 Demo \n All videos generated are saved and might be used as demo videos in the future. \n\n This demo is based on Wan 2.1 T2V model and uses Value Sign Flip technique to generate videos with different guidance scales and biases. More on [GitHub](https://github.com/weathon/VSF/blob/main/wan.md)")
-
-    with gr.Row():
-        pos = gr.Textbox(label="Positive Prompt", value="A chef cat and a chef dog with chef suit baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon.")
-        neg = gr.Textbox(label="Negative Prompt", value="white dog")
-
-    with gr.Row():
-        guidance = gr.Slider(0, 5, step=0.1, label="Guidance Scale", value=1.5)
-        bias = gr.Slider(0, 0.5, step=0.01, label="Bias", value=0.1)
-        step = gr.Slider(6, 15, step=1, label="Step", value=10)
-        frames = gr.Slider(31, 81, step=1, label="Frames", value=81)
-        seed = gr.Number(label="Seed", value=0, precision=0)
-
-    out = gr.Video(label="Generated Video")
-
-    btn = gr.Button("Generate")
-    btn.click(fn=generate_video, inputs=[pos, neg, guidance, bias, step, frames, seed], outputs=out)
-
-demo.launch()

VSF/comfyui/custom_nodes/value_sign_flip/.editorconfig

@@ -1,21 +0,0 @@
-# http://editorconfig.org
-
-root = true
-
-[*]
-indent_style = space
-indent_size = 4
-trim_trailing_whitespace = true
-insert_final_newline = true
-charset = utf-8
-end_of_line = lf
-
-[*.bat]
-indent_style = tab
-end_of_line = crlf
-
-[LICENSE]
-insert_final_newline = false
-
-[Makefile]
-indent_style = tab

VSF/comfyui/custom_nodes/value_sign_flip/.github/ISSUE_TEMPLATE.md

@@ -1,15 +0,0 @@
-* value_sign_flip version:
-* Python version:
-* Operating System:
-
-### Description
-
-Describe what you were trying to get done.
-Tell us what happened, what went wrong, and what you expected to happen.
-
-### What I Did
-
-```
-Paste the command(s) you ran and the output.
-If there was a crash, please include the traceback here.
-```

VSF/comfyui/custom_nodes/value_sign_flip/.github/workflows/build-pipeline.yml

@@ -1,34 +0,0 @@
-# GitHub CI build pipeline
-name: {{ cookiecutter.project_slug }} CI build
-
-on:
-  pull_request:
-    branches:
-      - master
-      - main
-jobs:
-  build:
-    runs-on: {% raw %} ${{ matrix.os }} {% endraw %}
-    env:
-      PYTHONIOENCODING: "utf8"
-    strategy:
-      matrix:
-        os: [ubuntu-latest]
-        python-version: ["3.12"]
-
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: {% raw %} ${{ matrix.python-version }} {% endraw %}
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install .[dev]
-      - name: Run Linting
-        run: |
-          ruff check .
-      - name: Run Tests
-        run: |
-          pytest tests/

VSF/comfyui/custom_nodes/value_sign_flip/.github/workflows/publish_node.yml

@@ -1,21 +0,0 @@
-name: 📦 Publish to Comfy registry
-on:
-  workflow_dispatch:
-  push:
-    tags:
-      - '*'
-
-permissions:
-  issues: write
-
-jobs:
-  publish-node:
-    name: Publish Custom Node to registry
-    runs-on: ubuntu-latest
-    steps:
-      - name: ♻️ Check out code
-        uses: actions/checkout@v4
-      - name: 📦 Publish Custom Node
-        uses: Comfy-Org/publish-node-action@main
-        with:
-          personal_access_token: {% raw %}${{ secrets.REGISTRY_ACCESS_TOKEN }}{% endraw %}

VSF/comfyui/custom_nodes/value_sign_flip/.github/workflows/validate.yml

@@ -1,13 +0,0 @@
-name: Validate backwards compatibility
-
-on:
-  pull_request:
-    branches:
-      - master
-      - main
-
-jobs:
-  validate:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: comfy-org/node-diff@main

VSF/comfyui/custom_nodes/value_sign_flip/.gitignore

@@ -1,114 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# OSX useful to ignore
-*.DS_Store
-.AppleDouble
-.LSOverride
-
-# Thumbnails
-._*
-
-# Files that might appear in the root of a volume
-.DocumentRevisions-V100
-.fseventsd
-.Spotlight-V100
-.TemporaryItems
-.Trashes
-.VolumeIcon.icns
-.com.apple.timemachine.donotpresent
-
-# Directories potentially created on remote AFP share
-.AppleDB
-.AppleDesktop
-Network Trash Folder
-Temporary Items
-.apdisk
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-env/
-venv/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*,cover
-.hypothesis/
-.pytest_cache/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-
-# Sphinx documentation
-docs/_build/
-
-# IntelliJ Idea
-.idea
-*.iml
-*.ipr
-*.iws
-
-# PyBuilder
-target/
-
-# Cookiecutter
-output/
-python_boilerplate/
-cookiecutter-pypackage-env/
-
-# vscode settings
-.history/
-*.code-workspace
-
-# Frontend extension
-node_modules/
-.env
-.env.local
-.env.development.local
-.env.test.local
-.env.production.local
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-node.zip
-.vscode/
-.claude/

VSF/comfyui/custom_nodes/value_sign_flip/.pre-commit-config.yaml

@@ -1,10 +0,0 @@
-repos:
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    # Ruff version.
-    rev: v0.4.9
-    hooks:
-      # Run the linter.
-      - id: ruff
-        args: [ --fix ]
-      # Run the formatter.
-      - id: ruff-format

VSF/comfyui/custom_nodes/value_sign_flip/LICENSE

@@ -1,675 +0,0 @@
-GNU GENERAL PUBLIC LICENSE
-Version 3, 29 June 2007
-
-Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
-Everyone is permitted to copy and distribute verbatim copies
-of this license document, but changing it is not allowed.
-
-		 Preamble
-
-The GNU General Public License is a free, copyleft license for
-software and other kinds of works.
-
-The licenses for most software and other practical works are designed
-to take away your freedom to share and change the works.  By contrast,
-the GNU General Public License is intended to guarantee your freedom to
-share and change all versions of a program--to make sure it remains free
-software for all its users.  We, the Free Software Foundation, use the
-GNU General Public License for most of our software; it applies also to
-any other work released this way by its authors.  You can apply it to
-your programs, too.
-
-When we speak of free software, we are referring to freedom, not
-price.  Our General Public Licenses are designed to make sure that you
-have the freedom to distribute copies of free software (and charge for
-them if you wish), that you receive source code or can get it if you
-want it, that you can change the software or use pieces of it in new
-free programs, and that you know you can do these things.
-
-To protect your rights, we need to prevent others from denying you
-these rights or asking you to surrender the rights.  Therefore, you have
-certain responsibilities if you distribute copies of the software, or if
-you modify it: responsibilities to respect the freedom of others.
-
-For example, if you distribute copies of such a program, whether
-gratis or for a fee, you must pass on to the recipients the same
-freedoms that you received.  You must make sure that they, too, receive
-or can get the source code.  And you must show them these terms so they
-know their rights.
-
-Developers that use the GNU GPL protect your rights with two steps:
-(1) assert copyright on the software, and (2) offer you this License
-giving you legal permission to copy, distribute and/or modify it.
-
-For the developers' and authors' protection, the GPL clearly explains
-that there is no warranty for this free software.  For both users' and
-authors' sake, the GPL requires that modified versions be marked as
-changed, so that their problems will not be attributed erroneously to
-authors of previous versions.
-
-Some devices are designed to deny users access to install or run
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-You should also get your employer (if you work as a programmer) or school,
-if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<https://www.gnu.org/licenses/>.
-
-The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<https://www.gnu.org/licenses/why-not-lgpl.html>.
-

VSF/comfyui/custom_nodes/value_sign_flip/MANIFEST.in

@@ -1,9 +0,0 @@
-include LICENSE
-include README.md
-
-recursive-exclude * __pycache__
-recursive-exclude * *.py[co]
-
-recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif
-
-

VSF/comfyui/custom_nodes/value_sign_flip/README.md

@@ -1,53 +0,0 @@
-
-# Value Sign Flip for ComfyUI (Wan 2.1)
-
-## Purpose
-
-This node implements **Value Sign Flip (VSF)** for **negative guidance without CFG** in ComfyUI. It is designed for object removal in video generation (e.g., removing bike wheels), **not for quality improvement**. Using prompts like "low quality" as negative could increase quality, but could also decrease it. 
-
-
-
-Example (generated using 1.3B, thus lower quality):
-<img width="1502" height="850" alt="image" src="https://github.com/user-attachments/assets/575fe78a-a7e2-47cd-9cc9-3897ba59b54d" />
-
----
-
-## Installation
-
-Install this node like any other ComfyUI custom node.
-
----
-
-## Usage
-
-This is an all-in-one node. Connect it like any standard generation node. Provide a **positive prompt**, **negative prompt**, and the relevant configuration. The output is a list of images representing a video. Connect it to a `SaveWebp` node for preview/export.
-
-No example workflow is provided due to the simplicity of the setup.
-
----
-
-### Parameters
-
-* **model\_id**: HuggingFace model ID for the *diffusers* version of the Wan model (e.g., `1.3B`, `14B`). Only config, tokenizer, and scheduler are loaded from here.
-* **cfg\_lora**: Choose a CFG LoRA like
-  [`Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors`](https://huggingface.co/Kijai/WanVideo_comfy/tree/main)
-  or some others from [here](https://huggingface.co/Kijai/WanVideo_comfy/tree/main).
-* **scale**: VSF scale. Starts at `0` (unlike CFG which starts at `1`).
-* **offset**: Lower (more negative) values decrease the impact of the negative prompt outside the target area.
-* **shift**: Flow shift during sampling.
-* **cfg\_lora\_scale**: Scale of the CFG LoRA. Recommended: `0.4`–`0.7`.
-
----
-
-## Limitations
-
-* No in-node progress bar during denoising. Use `Ctrl + ~` to view progress in the terminal.
-* Minimal customization; functionality is self-contained.
-* CPU offloading is not supported.
-* Requires FP16 text encoder. Use `umt5_xxl_fp16.safetensors`. FP8 models are unsupported.
-
----
-
-## Feedback
-
-This is an experimental tool. Feedback or suggestions are welcome via GitHub Issues.

VSF/comfyui/custom_nodes/value_sign_flip/__init__.py

@@ -1,16 +0,0 @@
-"""Top-level package for value_sign_flip."""
-
-__all__ = [
-    "NODE_CLASS_MAPPINGS",
-    "NODE_DISPLAY_NAME_MAPPINGS",
-    
-]
-
-__author__ = """Value Sign Flip"""
-__email__ = "email@weasoft.com"
-__version__ = "0.0.1"
-
-from .src.value_sign_flip.nodes import NODE_CLASS_MAPPINGS
-from .src.value_sign_flip.nodes import NODE_DISPLAY_NAME_MAPPINGS
-
-

VSF/comfyui/custom_nodes/value_sign_flip/pyproject.toml

@@ -1,82 +0,0 @@
-[build-system]
-requires = ["setuptools>=70.0"]
-build-backend = "setuptools.build_meta"
-
-[project]
-name = "value_sign_flip"
-version = "0.0.1"
-description = "Negative Guidance Without CFG"
-authors = [
-  {name = "Value Sign Flip", email = "email@weasoft.com"}
-]
-readme = "README.md"
-license = {text = "GNU General Public License v3"}
-classifiers = []
-dependencies = [
-
-]
-
-
-
-[project.optional-dependencies]
-dev = [
-    "bump-my-version",
-    "coverage",  # testing
-    "mypy",  # linting
-    "pre-commit", # runs linting on commit
-    "pytest",  # testing
-    "ruff",  # linting
-]
-
-[project.urls]
-bugs = "https://github.com/weathon/value_sign_flip/issues"
-homepage = "https://github.com/weathon/value_sign_flip"
-
-
-[tool.comfy]
-PublisherId = "weathon"
-DisplayName = "Value Sign Flip"
-Icon = ""
-
-
-[tool.setuptools.package-data]
-"*" = ["*.*"]
-
-[tool.pytest.ini_options]
-minversion = "8.0"
-testpaths = [
-    "tests",
-]
-
-[tool.mypy]
-files = "."
-
-# Use strict defaults
-strict = true
-warn_unreachable = true
-warn_no_return = true
-
-[[tool.mypy.overrides]]
-# Don't require test functions to include types
-module = "tests.*"
-allow_untyped_defs = true
-disable_error_code = "attr-defined"
-
-[tool.ruff]
-# extend-exclude = ["static", "ci/templates"]
-line-length = 140
-src = ["src", "tests"]
-target-version = "py39"
-
-# Add rules to ban exec/eval
-[tool.ruff.lint]
-select = [
-    "S102",  # exec-builtin
-    "S307",  # eval-used
-    "W293",
-    "F",  # The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names.
-    # See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f
-]
-
-[tool.ruff.lint.flake8-quotes]
-inline-quotes = "double"

VSF/comfyui/custom_nodes/value_sign_flip/src/value_sign_flip/nodes.py

@@ -1,185 +0,0 @@
-from inspect import cleandoc
-import torch
-from diffusers import AutoencoderKLWan, UniPCMultistepScheduler, WanTransformer3DModel
-from transformers import T5EncoderModel, AutoTokenizer
-from .pipeline import WanPipeline
-from .processor import WanAttnProcessor2_0
-from diffusers.utils import export_to_video
-import folder_paths
-from transformers import AutoConfig
-from safetensors.torch import load_file
-from diffusers.hooks.group_offloading import apply_group_offloading
-
-class VSF:
-    """
-    A example node
-
-    Class methods
-    -------------
-    INPUT_TYPES (dict):
-        Tell the main program input parameters of nodes.
-    IS_CHANGED:
-        optional method to control when the node is re executed.
-
-    Attributes
-    ----------
-    RETURN_TYPES (`tuple`):
-        The type of each element in the output tulple.
-    RETURN_NAMES (`tuple`):
-        Optional: The name of each output in the output tulple.
-    FUNCTION (`str`):
-        The name of the entry-point method. For example, if `FUNCTION = "execute"` then it will run Example().execute()
-    OUTPUT_NODE ([`bool`]):
-        If this node is an output node that outputs a result/image from the graph. The SaveImage node is an example.
-        The backend iterates on these output nodes and tries to execute all their parents if their parent graph is properly connected.
-        Assumed to be False if not present.
-    CATEGORY (`str`):
-        The category the node should appear in the UI.
-    execute(s) -> tuple || None:
-        The entry point method. The name of this method must be the same as the value of property `FUNCTION`.
-        For example, if `FUNCTION = "execute"` then this method's name must be `execute`, if `FUNCTION = "foo"` then it must be `foo`.
-    """
-    def __init__(self):
-        pass
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "clip": (folder_paths.get_filename_list("text_encoders"),),
-                "wan": (folder_paths.get_filename_list("diffusion_models"),),
-                "vae": (folder_paths.get_filename_list("vae"),),
-                "cfg_lora": (folder_paths.get_filename_list("loras"),),
-                "model_id": ("STRING", {"default": "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"}),
-                "positive_prompt": ("STRING", {"default": "A cessna flying over a snowy mountain landscape, with a clear blue sky and fluffy white clouds. The plane is flying at a low altitude, casting a shadow on the snow-covered ground below.", "multiline": True}),
-                "negative_prompt": ("STRING", {"default": "wings", "multiline": True}),                
-                "steps": ("INT", {"default": 12}),
-                "height": ("INT", {"default": 480}),
-                "width": ("INT", {"default": 832}),
-                "frames": ("INT", {"default": 81}),
-                "scale": ("FLOAT", {"default": 1.5, "min": 0.1, "max": 10.0, "step": 0.1}),
-                "offset": ("FLOAT", {"default": -0.1, "min": -1.0, "max": 0, "step": 0.01}),
-                "shift": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 5.0, "step": 0.1}),
-                "seed": ("INT", {"default": 42}),
-                "cfg_lora_scale": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.1}),
-                # "cpu_offload": ("BOOLEAN", {"default": True, "label": "CPU Offload"}),
-            },
-        }
-    
-    RETURN_TYPES = ("IMAGE",)
-    FUNCTION = "main"
-
-    CATEGORY = "sampling"
-
-    def main(self, clip, wan, cfg_lora, vae, model_id, positive_prompt, shift, negative_prompt, steps, height, width, frames, scale, offset, seed, cfg_lora_scale):
-        model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
-        vae = AutoencoderKLWan.from_single_file(
-            folder_paths.get_full_path("vae", vae),
-            local_files_only=True,
-            torch_dtype=torch.float32,
-        )
-        transformer = WanTransformer3DModel.from_single_file(
-            folder_paths.get_full_path("diffusion_models", wan),
-            local_files_only=True,
-            torch_dtype=torch.bfloat16,
-        )
-        tokenizer = AutoTokenizer.from_pretrained(model_id, subfolder="tokenizer")
-        text_encoder_state = load_file(
-            folder_paths.get_full_path("text_encoders", clip),
-            device="cpu", 
-        )
-
-        text_encoder = T5EncoderModel.from_pretrained(
-            pretrained_model_name_or_path=None,
-            config=AutoConfig.from_pretrained(model_id, subfolder="text_encoder"),
-            state_dict=text_encoder_state,
-            torch_dtype=torch.bfloat16,
-        )
-        # text_encoder = T5EncoderModel.from_pretrained(
-        #     pretrained_model_name_or_path=model_id,
-        #     subfolder="text_encoder",
-        # )
-        # if cpu_offload:
-        #     onload_device = torch.device("cuda")
-        #     offload_device = torch.device("cpu")
-        #     apply_group_offloading(text_encoder,
-        #         onload_device=onload_device,
-        #         offload_device=offload_device,
-        #         offload_type="block_level",
-        #         num_blocks_per_group=4
-        #     )
-        #     transformer.enable_group_offload(
-        #         onload_device=onload_device,
-        #         offload_device=offload_device,
-        #         offload_type="leaf_level",
-        #         use_stream=True
-        #     )
-
-        pipe = WanPipeline(
-            vae=vae,
-            transformer=transformer,
-            text_encoder=text_encoder,
-            tokenizer=tokenizer,
-            scheduler=UniPCMultistepScheduler.from_pretrained(
-                model_id, subfolder="scheduler", flow_shift=shift, 
-            ),
-        )
-        lora_path = folder_paths.get_full_path("loras", cfg_lora)
-        pipe.load_lora_weights(
-            lora_path,
-            adapter_name="lora",
-        ) 
-
-        pipe.to(device="cuda", dtype=torch.bfloat16)
-
-        neg_prompt_embeds, _ = pipe.encode_prompt(
-            prompt=negative_prompt,
-            padding=False,
-            do_classifier_free_guidance=False,
-        )
-
-        pos_prompt_embeds, _ = pipe.encode_prompt( 
-            prompt=positive_prompt,
-            do_classifier_free_guidance=False, 
-            max_sequence_length=512 - neg_prompt_embeds.shape[1],
-        )
-        pipe.set_adapters("lora", cfg_lora_scale)
-
-
-
-        neg_len = neg_prompt_embeds.shape[1]
-        pos_len = pos_prompt_embeds.shape[1]
-        print(neg_len, pos_len)
-
-        img_len = (height//8) * (width//8) * 3 * (frames // 4 + 1) // 12
-        print(img_len)
-        mask = torch.zeros((1, img_len, pos_len+neg_len)).cuda()
-        mask[:, :, -neg_len:] = offset
-
-        for block in pipe.transformer.blocks:
-            block.attn2.processor = WanAttnProcessor2_0(scale=scale, neg_prompt_length=neg_len, attn_mask=mask)
-
-        prompt_embeds = torch.cat([pos_prompt_embeds, neg_prompt_embeds], dim=1)
-
-        output = pipe(
-            prompt_embeds=prompt_embeds,
-            height=height,
-            width=width,
-            num_frames=frames,
-            num_inference_steps=steps, 
-            guidance_scale=0.0, 
-            generator=torch.Generator(device="cuda").manual_seed(seed),
-            output_type="pt",
-        )[0].float()[0].permute(0, 2, 3, 1).contiguous()
-        print(output.shape)
-        
-        return (output, )
-
-NODE_CLASS_MAPPINGS = {
-    "Example": VSF
-}
-
-# A dictionary that contains the friendly/humanly readable titles for the nodes
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "Example": "Value Sign Flip"
-}

VSF/comfyui/custom_nodes/value_sign_flip/src/value_sign_flip/pipeline.py

@@ -1,612 +0,0 @@
-# Copyright 2025 The Wan Team and The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import html
-from typing import Any, Callable, Dict, List, Optional, Union
-
-import regex as re
-import torch
-from transformers import AutoTokenizer, UMT5EncoderModel
-
-from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
-from diffusers.loaders import WanLoraLoaderMixin
-from diffusers.models import AutoencoderKLWan, WanTransformer3DModel
-from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
-from diffusers.utils import is_ftfy_available, is_torch_xla_available, logging, replace_example_docstring
-from diffusers.utils.torch_utils import randn_tensor
-from diffusers.video_processor import VideoProcessor
-from diffusers.pipelines.pipeline_utils import DiffusionPipeline
-from diffusers.pipelines.wan.pipeline_output import WanPipelineOutput
-
-
-if is_torch_xla_available():
-    import torch_xla.core.xla_model as xm
-
-    XLA_AVAILABLE = True
-else:
-    XLA_AVAILABLE = False
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-if is_ftfy_available():
-    import ftfy
-
-
-EXAMPLE_DOC_STRING = """
-    Examples:
-        ```python
-        >>> import torch
-        >>> from diffusers.utils import export_to_video
-        >>> from diffusers import AutoencoderKLWan, WanPipeline
-        >>> from diffusers.schedulers.scheduling_unipc_multistep import UniPCMultistepScheduler
-
-        >>> # Available models: Wan-AI/Wan2.1-T2V-14B-Diffusers, Wan-AI/Wan2.1-T2V-1.3B-Diffusers
-        >>> model_id = "Wan-AI/Wan2.1-T2V-14B-Diffusers"
-        >>> vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
-        >>> pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
-        >>> flow_shift = 5.0  # 5.0 for 720P, 3.0 for 480P
-        >>> pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
-        >>> pipe.to("cuda")
-
-        >>> prompt = "A cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The kitchen is cozy, with sunlight streaming through the window."
-        >>> negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"
-
-        >>> output = pipe(
-        ...     prompt=prompt,
-        ...     negative_prompt=negative_prompt,
-        ...     height=720,
-        ...     width=1280,
-        ...     num_frames=81,
-        ...     guidance_scale=5.0,
-        ... ).frames[0]
-        >>> export_to_video(output, "output.mp4", fps=16)
-        ```
-"""
-
-
-def basic_clean(text):
-    text = ftfy.fix_text(text)
-    text = html.unescape(html.unescape(text))
-    return text.strip()
-
-
-def whitespace_clean(text):
-    text = re.sub(r"\s+", " ", text)
-    text = text.strip()
-    return text
-
-
-def prompt_clean(text):
-    text = whitespace_clean(basic_clean(text))
-    return text
-
-
-class WanPipeline(DiffusionPipeline, WanLoraLoaderMixin):
-    r"""
-    Pipeline for text-to-video generation using Wan.
-
-    This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
-    implemented for all pipelines (downloading, saving, running on a particular device, etc.).
-
-    Args:
-        tokenizer ([`T5Tokenizer`]):
-            Tokenizer from [T5](https://huggingface.co/docs/transformers/en/model_doc/t5#transformers.T5Tokenizer),
-            specifically the [google/umt5-xxl](https://huggingface.co/google/umt5-xxl) variant.
-        text_encoder ([`T5EncoderModel`]):
-            [T5](https://huggingface.co/docs/transformers/en/model_doc/t5#transformers.T5EncoderModel), specifically
-            the [google/umt5-xxl](https://huggingface.co/google/umt5-xxl) variant.
-        transformer ([`WanTransformer3DModel`]):
-            Conditional Transformer to denoise the input latents.
-        scheduler ([`UniPCMultistepScheduler`]):
-            A scheduler to be used in combination with `transformer` to denoise the encoded image latents.
-        vae ([`AutoencoderKLWan`]):
-            Variational Auto-Encoder (VAE) Model to encode and decode videos to and from latent representations.
-    """
-
-    model_cpu_offload_seq = "text_encoder->transformer->vae"
-    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds"]
-
-    def __init__(
-        self,
-        tokenizer: AutoTokenizer,
-        text_encoder: UMT5EncoderModel,
-        transformer: WanTransformer3DModel,
-        vae: AutoencoderKLWan,
-        scheduler: FlowMatchEulerDiscreteScheduler,
-    ):
-        super().__init__()
-
-        self.register_modules(
-            vae=vae,
-            text_encoder=text_encoder,
-            tokenizer=tokenizer,
-            transformer=transformer,
-            scheduler=scheduler,
-        )
-
-        self.vae_scale_factor_temporal = 2 ** sum(self.vae.temperal_downsample) if getattr(self, "vae", None) else 4
-        self.vae_scale_factor_spatial = 2 ** len(self.vae.temperal_downsample) if getattr(self, "vae", None) else 8
-        self.video_processor = VideoProcessor(vae_scale_factor=self.vae_scale_factor_spatial)
-
-    def _get_t5_prompt_embeds(
-        self,
-        prompt: Union[str, List[str]] = None,
-        num_videos_per_prompt: int = 1,
-        max_sequence_length: int = 226,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-        padding: bool = True,
-    ):
-        device = device or self._execution_device
-        dtype = dtype or self.text_encoder.dtype
-
-        prompt = [prompt] if isinstance(prompt, str) else prompt
-        prompt = [prompt_clean(u) for u in prompt]
-        batch_size = len(prompt)
-        print(padding)
-        text_inputs = self.tokenizer(
-            prompt,
-            padding="max_length" if padding else False,
-            max_length=max_sequence_length,
-            truncation=True,
-            add_special_tokens=True,
-            return_attention_mask=True,
-            return_tensors="pt",
-        )
-        text_input_ids, mask = text_inputs.input_ids, text_inputs.attention_mask
-        seq_lens = mask.gt(0).sum(dim=1).long()
-
-        prompt_embeds = self.text_encoder(text_input_ids.to(device), mask.to(device)).last_hidden_state
-        prompt_embeds = prompt_embeds.to(dtype=dtype, device=device)
-        prompt_embeds = [u[:v] for u, v in zip(prompt_embeds, seq_lens)]
-        if padding:
-            prompt_embeds = torch.stack(
-                [torch.cat([u, u.new_zeros(max_sequence_length - u.size(0), u.size(1))]) for u in prompt_embeds], dim=0
-            )
-        else:
-            prompt_embeds = torch.stack(
-                [torch.cat([u]) for u in prompt_embeds], dim=0
-            )
-
-        # duplicate text embeddings for each generation per prompt, using mps friendly method
-        _, seq_len, _ = prompt_embeds.shape
-        prompt_embeds = prompt_embeds.repeat(1, num_videos_per_prompt, 1)
-        prompt_embeds = prompt_embeds.view(batch_size * num_videos_per_prompt, seq_len, -1)
-
-        return prompt_embeds
-
-    def encode_prompt(
-        self,
-        prompt: Union[str, List[str]],
-        negative_prompt: Optional[Union[str, List[str]]] = None,
-        do_classifier_free_guidance: bool = True,
-        num_videos_per_prompt: int = 1,
-        prompt_embeds: Optional[torch.Tensor] = None,
-        negative_prompt_embeds: Optional[torch.Tensor] = None,
-        max_sequence_length: int = 226,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-        padding: bool = True,
-    ):
-        r"""
-        Encodes the prompt into text encoder hidden states.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                prompt to be encoded
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
-                less than `1`).
-            do_classifier_free_guidance (`bool`, *optional*, defaults to `True`):
-                Whether to use classifier free guidance or not.
-            num_videos_per_prompt (`int`, *optional*, defaults to 1):
-                Number of videos that should be generated per prompt. torch device to place the resulting embeddings on
-            prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            device: (`torch.device`, *optional*):
-                torch device
-            dtype: (`torch.dtype`, *optional*):
-                torch dtype
-        """
-        device = device or self._execution_device
-
-        prompt = [prompt] if isinstance(prompt, str) else prompt
-        if prompt is not None:
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        if prompt_embeds is None:
-            prompt_embeds = self._get_t5_prompt_embeds(
-                prompt=prompt,
-                num_videos_per_prompt=num_videos_per_prompt,
-                max_sequence_length=max_sequence_length,
-                device=device,
-                dtype=dtype,
-                padding=padding
-            )
-
-        if do_classifier_free_guidance and negative_prompt_embeds is None:
-            negative_prompt = negative_prompt or ""
-            negative_prompt = batch_size * [negative_prompt] if isinstance(negative_prompt, str) else negative_prompt
-
-            if prompt is not None and type(prompt) is not type(negative_prompt):
-                raise TypeError(
-                    f"`negative_prompt` should be the same type to `prompt`, but got {type(negative_prompt)} !="
-                    f" {type(prompt)}."
-                )
-            elif batch_size != len(negative_prompt):
-                raise ValueError(
-                    f"`negative_prompt`: {negative_prompt} has batch size {len(negative_prompt)}, but `prompt`:"
-                    f" {prompt} has batch size {batch_size}. Please make sure that passed `negative_prompt` matches"
-                    " the batch size of `prompt`."
-                )
-
-            negative_prompt_embeds = self._get_t5_prompt_embeds(
-                prompt=negative_prompt,
-                num_videos_per_prompt=num_videos_per_prompt,
-                max_sequence_length=max_sequence_length,
-                device=device,
-                dtype=dtype,
-            )
-
-        return prompt_embeds, negative_prompt_embeds
-
-    def check_inputs(
-        self,
-        prompt,
-        negative_prompt,
-        height,
-        width,
-        prompt_embeds=None,
-        negative_prompt_embeds=None,
-        callback_on_step_end_tensor_inputs=None,
-    ):
-        if height % 16 != 0 or width % 16 != 0:
-            raise ValueError(f"`height` and `width` have to be divisible by 16 but are {height} and {width}.")
-
-        if callback_on_step_end_tensor_inputs is not None and not all(
-            k in self._callback_tensor_inputs for k in callback_on_step_end_tensor_inputs
-        ):
-            raise ValueError(
-                f"`callback_on_step_end_tensor_inputs` has to be in {self._callback_tensor_inputs}, but found {[k for k in callback_on_step_end_tensor_inputs if k not in self._callback_tensor_inputs]}"
-            )
-
-        if prompt is not None and prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `prompt`: {prompt} and `prompt_embeds`: {prompt_embeds}. Please make sure to"
-                " only forward one of the two."
-            )
-        elif negative_prompt is not None and negative_prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `negative_prompt`: {negative_prompt} and `negative_prompt_embeds`: {negative_prompt_embeds}. Please make sure to"
-                " only forward one of the two."
-            )
-        elif prompt is None and prompt_embeds is None:
-            raise ValueError(
-                "Provide either `prompt` or `prompt_embeds`. Cannot leave both `prompt` and `prompt_embeds` undefined."
-            )
-        elif prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)):
-            raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}")
-        elif negative_prompt is not None and (
-            not isinstance(negative_prompt, str) and not isinstance(negative_prompt, list)
-        ):
-            raise ValueError(f"`negative_prompt` has to be of type `str` or `list` but is {type(negative_prompt)}")
-
-    def prepare_latents(
-        self,
-        batch_size: int,
-        num_channels_latents: int = 16,
-        height: int = 480,
-        width: int = 832,
-        num_frames: int = 81,
-        dtype: Optional[torch.dtype] = None,
-        device: Optional[torch.device] = None,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.Tensor] = None,
-    ) -> torch.Tensor:
-        if latents is not None:
-            return latents.to(device=device, dtype=dtype)
-
-        num_latent_frames = (num_frames - 1) // self.vae_scale_factor_temporal + 1
-        shape = (
-            batch_size,
-            num_channels_latents,
-            num_latent_frames,
-            int(height) // self.vae_scale_factor_spatial,
-            int(width) // self.vae_scale_factor_spatial,
-        )
-        if isinstance(generator, list) and len(generator) != batch_size:
-            raise ValueError(
-                f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
-                f" size of {batch_size}. Make sure the batch size matches the length of the generators."
-            )
-
-        latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
-        return latents
-
-    @property
-    def guidance_scale(self):
-        return self._guidance_scale
-
-    @property
-    def do_classifier_free_guidance(self):
-        return self._guidance_scale > 1.0
-
-    @property
-    def num_timesteps(self):
-        return self._num_timesteps
-
-    @property
-    def current_timestep(self):
-        return self._current_timestep
-
-    @property
-    def interrupt(self):
-        return self._interrupt
-
-    @property
-    def attention_kwargs(self):
-        return self._attention_kwargs
-
-    @torch.no_grad()
-    @replace_example_docstring(EXAMPLE_DOC_STRING)
-    def __call__(
-        self,
-        prompt: Union[str, List[str]] = None,
-        negative_prompt: Union[str, List[str]] = None,
-        height: int = 480,
-        width: int = 832,
-        num_frames: int = 81,
-        num_inference_steps: int = 50,
-        guidance_scale: float = 5.0,
-        num_videos_per_prompt: Optional[int] = 1,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.Tensor] = None,
-        prompt_embeds: Optional[torch.Tensor] = None,
-        negative_prompt_embeds: Optional[torch.Tensor] = None,
-        output_type: Optional[str] = "np",
-        return_dict: bool = True,
-        attention_kwargs: Optional[Dict[str, Any]] = None,
-        callback_on_step_end: Optional[
-            Union[Callable[[int, int, Dict], None], PipelineCallback, MultiPipelineCallbacks]
-        ] = None,
-        callback_on_step_end_tensor_inputs: List[str] = ["latents"],
-        max_sequence_length: int = 512,
-    ):
-        r"""
-        The call function to the pipeline for generation.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to guide the image generation. If not defined, pass `prompt_embeds` instead.
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to avoid during image generation. If not defined, pass `negative_prompt_embeds`
-                instead. Ignored when not using guidance (`guidance_scale` < `1`).
-            height (`int`, defaults to `480`):
-                The height in pixels of the generated image.
-            width (`int`, defaults to `832`):
-                The width in pixels of the generated image.
-            num_frames (`int`, defaults to `81`):
-                The number of frames in the generated video.
-            num_inference_steps (`int`, defaults to `50`):
-                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-                expense of slower inference.
-            guidance_scale (`float`, defaults to `5.0`):
-                Guidance scale as defined in [Classifier-Free Diffusion
-                Guidance](https://huggingface.co/papers/2207.12598). `guidance_scale` is defined as `w` of equation 2.
-                of [Imagen Paper](https://huggingface.co/papers/2205.11487). Guidance scale is enabled by setting
-                `guidance_scale > 1`. Higher guidance scale encourages to generate images that are closely linked to
-                the text `prompt`, usually at the expense of lower image quality.
-            num_videos_per_prompt (`int`, *optional*, defaults to 1):
-                The number of images to generate per prompt.
-            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-                A [`torch.Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) to make
-                generation deterministic.
-            latents (`torch.Tensor`, *optional*):
-                Pre-generated noisy latents sampled from a Gaussian distribution, to be used as inputs for image
-                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-                tensor is generated by sampling using the supplied random `generator`.
-            prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs (prompt weighting). If not
-                provided, text embeddings are generated from the `prompt` input argument.
-            output_type (`str`, *optional*, defaults to `"np"`):
-                The output format of the generated image. Choose between `PIL.Image` or `np.array`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`WanPipelineOutput`] instead of a plain tuple.
-            attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
-                `self.processor` in
-                [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
-            callback_on_step_end (`Callable`, `PipelineCallback`, `MultiPipelineCallbacks`, *optional*):
-                A function or a subclass of `PipelineCallback` or `MultiPipelineCallbacks` that is called at the end of
-                each denoising step during the inference. with the following arguments: `callback_on_step_end(self:
-                DiffusionPipeline, step: int, timestep: int, callback_kwargs: Dict)`. `callback_kwargs` will include a
-                list of all tensors as specified by `callback_on_step_end_tensor_inputs`.
-            callback_on_step_end_tensor_inputs (`List`, *optional*):
-                The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
-                will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
-                `._callback_tensor_inputs` attribute of your pipeline class.
-            max_sequence_length (`int`, defaults to `512`):
-                The maximum sequence length of the text encoder. If the prompt is longer than this, it will be
-                truncated. If the prompt is shorter, it will be padded to this length.
-
-        Examples:
-
-        Returns:
-            [`~WanPipelineOutput`] or `tuple`:
-                If `return_dict` is `True`, [`WanPipelineOutput`] is returned, otherwise a `tuple` is returned where
-                the first element is a list with the generated images and the second element is a list of `bool`s
-                indicating whether the corresponding generated image contains "not-safe-for-work" (nsfw) content.
-        """
-
-        if isinstance(callback_on_step_end, (PipelineCallback, MultiPipelineCallbacks)):
-            callback_on_step_end_tensor_inputs = callback_on_step_end.tensor_inputs
-
-        # 1. Check inputs. Raise error if not correct
-        self.check_inputs(
-            prompt,
-            negative_prompt,
-            height,
-            width,
-            prompt_embeds,
-            negative_prompt_embeds,
-            callback_on_step_end_tensor_inputs,
-        )
-
-        if num_frames % self.vae_scale_factor_temporal != 1:
-            logger.warning(
-                f"`num_frames - 1` has to be divisible by {self.vae_scale_factor_temporal}. Rounding to the nearest number."
-            )
-            num_frames = num_frames // self.vae_scale_factor_temporal * self.vae_scale_factor_temporal + 1
-        num_frames = max(num_frames, 1)
-
-        self._guidance_scale = guidance_scale
-        self._attention_kwargs = attention_kwargs
-        self._current_timestep = None
-        self._interrupt = False
-
-        device = self._execution_device
-
-        # 2. Define call parameters
-        if prompt is not None and isinstance(prompt, str):
-            batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        # 3. Encode input prompt
-        prompt_embeds, negative_prompt_embeds = self.encode_prompt(
-            prompt=prompt,
-            negative_prompt=negative_prompt,
-            do_classifier_free_guidance=self.do_classifier_free_guidance,
-            num_videos_per_prompt=num_videos_per_prompt,
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            max_sequence_length=max_sequence_length,
-            device=device,
-        )
-
-        transformer_dtype = self.transformer.dtype
-        prompt_embeds = prompt_embeds.to(transformer_dtype)
-        if negative_prompt_embeds is not None:
-            negative_prompt_embeds = negative_prompt_embeds.to(transformer_dtype)
-
-        # 4. Prepare timesteps
-        self.scheduler.set_timesteps(num_inference_steps, device=device)
-        timesteps = self.scheduler.timesteps
-
-        # 5. Prepare latent variables
-        num_channels_latents = self.transformer.config.in_channels
-        latents = self.prepare_latents(
-            batch_size * num_videos_per_prompt,
-            num_channels_latents,
-            height,
-            width,
-            num_frames,
-            torch.float32,
-            device,
-            generator,
-            latents,
-        )
-
-        # 6. Denoising loop
-        num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
-        self._num_timesteps = len(timesteps)
-
-        with self.progress_bar(total=num_inference_steps) as progress_bar:
-            for i, t in enumerate(timesteps):
-                if self.interrupt:
-                    continue
-
-                self._current_timestep = t
-                latent_model_input = latents.to(transformer_dtype)
-                timestep = t.expand(latents.shape[0])
-                for block in self.transformer.blocks:
-                    if hasattr(block.attn2, "processor"):
-                        block.attn2.processor.pos = True
-                        
-                noise_pred = self.transformer(
-                    hidden_states=latent_model_input,
-                    timestep=timestep,
-                    encoder_hidden_states=prompt_embeds,
-                    attention_kwargs=attention_kwargs,
-                    return_dict=False,
-                )[0]
-
-                if self.do_classifier_free_guidance:
-                    for block in self.transformer.blocks:
-                        if hasattr(block.attn2, "processor"):
-                            block.attn2.processor.pos = False
-                    noise_uncond = self.transformer(
-                        hidden_states=latent_model_input,
-                        timestep=timestep,
-                        encoder_hidden_states=negative_prompt_embeds,
-                        attention_kwargs=attention_kwargs,
-                        return_dict=False,
-                    )[0]
-                    noise_pred = noise_uncond + guidance_scale * (noise_pred - noise_uncond)
-
-                # compute the previous noisy sample x_t -> x_t-1
-                latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
-
-                if callback_on_step_end is not None:
-                    callback_kwargs = {}
-                    for k in callback_on_step_end_tensor_inputs:
-                        callback_kwargs[k] = locals()[k]
-                    callback_outputs = callback_on_step_end(self, i, t, callback_kwargs)
-
-                    latents = callback_outputs.pop("latents", latents)
-                    prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
-                    negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
-
-                # call the callback, if provided
-                if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
-                    progress_bar.update()
-
-                if XLA_AVAILABLE:
-                    xm.mark_step()
-
-        self._current_timestep = None
-
-        if not output_type == "latent":
-            latents = latents.to(self.vae.dtype)
-            latents_mean = (
-                torch.tensor(self.vae.config.latents_mean)
-                .view(1, self.vae.config.z_dim, 1, 1, 1)
-                .to(latents.device, latents.dtype)
-            )
-            latents_std = 1.0 / torch.tensor(self.vae.config.latents_std).view(1, self.vae.config.z_dim, 1, 1, 1).to(
-                latents.device, latents.dtype
-            )
-            latents = latents / latents_std + latents_mean
-            video = self.vae.decode(latents, return_dict=False)[0]
-            video = self.video_processor.postprocess_video(video, output_type=output_type)
-        else:
-            video = latents
-
-        # Offload all models
-        self.maybe_free_model_hooks()
-
-        if not return_dict:
-            return (video,)
-
-        return WanPipelineOutput(frames=video)

VSF/comfyui/custom_nodes/value_sign_flip/src/value_sign_flip/processor.py

@@ -1,112 +0,0 @@
-
-import torch
-import torch.nn.functional as F
-from typing import Optional
-from diffusers.models.attention_processor import Attention
-
-class WanAttnProcessor2_0:
-    def __init__(self, scale=4, attn_mask=None, neg_prompt_length=0):
-        if not hasattr(F, "scaled_dot_product_attention"):
-            raise ImportError("WanAttnProcessor2_0 requires PyTorch 2.0. To use it, please upgrade PyTorch to 2.0.")
-        self.attn_mask = attn_mask
-        self.neg_prompt_length = neg_prompt_length
-        self.scale = scale
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states: torch.Tensor,
-        encoder_hidden_states: Optional[torch.Tensor] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        rotary_emb: Optional[torch.Tensor] = None,
-    ) -> torch.Tensor:
-        encoder_hidden_states_img = None
-        if attn.add_k_proj is not None:
-            # 512 is the context length of the text encoder, hardcoded for now
-            image_context_length = encoder_hidden_states.shape[1] - 512
-            encoder_hidden_states_img = encoder_hidden_states[:, :image_context_length]
-            encoder_hidden_states = encoder_hidden_states[:, image_context_length:]
-        cross_attn = False
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-            query = attn.to_q(hidden_states)
-            key = attn.to_k(encoder_hidden_states)
-            value = attn.to_v(encoder_hidden_states)
-        else:
-            query = attn.to_q(hidden_states)
-            key = attn.to_k(encoder_hidden_states)
-            value = attn.to_v(encoder_hidden_states)
-            cross_attn = True
-
-        if attn.norm_q is not None:
-            query = attn.norm_q(query)
-        if attn.norm_k is not None:
-            key = attn.norm_k(key)
-
-        query = query.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        key = key.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        value = value.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        # print(self.pos)
-        
-        if cross_attn and self.pos:
-            # print(value.shape, self.neg_prompt_length)
-            value[:,:,-self.neg_prompt_length:] *= -self.scale
-
-        if rotary_emb is not None:
-            def apply_rotary_emb(
-                hidden_states: torch.Tensor,
-                freqs_cos: torch.Tensor,
-                freqs_sin: torch.Tensor, 
-            ):
-                x = hidden_states.view(*hidden_states.shape[:-1], -1, 2)
-                x1, x2 = x[..., 0], x[..., 1]
-                cos = freqs_cos[..., 0::2]
-                sin = freqs_sin[..., 1::2]
-                out = torch.empty_like(hidden_states)
-                out[..., 0::2] = x1 * cos - x2 * sin
-                out[..., 1::2] = x1 * sin + x2 * cos
-                return out.type_as(hidden_states)
-
-            query = apply_rotary_emb(query, *rotary_emb)
-            key = apply_rotary_emb(key, *rotary_emb)
-
-        # I2V task
-        hidden_states_img = None
-        if encoder_hidden_states_img is not None:
-            key_img = attn.add_k_proj(encoder_hidden_states_img)
-            key_img = attn.norm_added_k(key_img)
-            value_img = attn.add_v_proj(encoder_hidden_states_img)
-
-            key_img = key_img.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-            value_img = value_img.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-            print(query.shape, key_img.shape, value_img.shape)
-            hidden_states_img = F.scaled_dot_product_attention(
-                query, key_img, value_img, attn_mask=None, dropout_p=0.0, is_causal=False
-            )
-            hidden_states_img = hidden_states_img.transpose(1, 2).flatten(2, 3)
-            hidden_states_img = hidden_states_img.type_as(query)
-        if self.attn_mask is not None: 
-            self.attn_mask = self.attn_mask.to(query.dtype)
-        if not self.pos:
-            hidden_states = F.scaled_dot_product_attention(
-                query, key, value, dropout_p=0.0, is_causal=False
-            )
-        else:
-            hidden_states = F.scaled_dot_product_attention(
-                query, key, value, attn_mask=self.attn_mask, dropout_p=0.0, is_causal=False
-            )
-        # if cross_attn:
-        #   # print(hidden_states.shape)
-        #   hidden_states_norm = torch.norm(hidden_states, dim=-1, keepdim=True)
-        #   new_norm = torch.where(hidden_states_norm > max_norm * 2, max_norm * 2, hidden_states_norm)
-        #   hidden_states = hidden_states * (new_norm / hidden_states_norm)
-          
-        hidden_states = hidden_states.transpose(1, 2).flatten(2, 3)
-        hidden_states = hidden_states.type_as(query)
-
-        if hidden_states_img is not None:
-            hidden_states = hidden_states + hidden_states_img
-
-        hidden_states = attn.to_out[0](hidden_states)
-        hidden_states = attn.to_out[1](hidden_states)
-        return hidden_states

VSF/comfyui/custom_nodes/value_sign_flip/tests/__init__.py

@@ -1 +0,0 @@
-"""Unit test package for value_sign_flip."""

VSF/comfyui/custom_nodes/value_sign_flip/tests/conftest.py

@@ -1,6 +0,0 @@
-import os
-import sys
-
-# Add the project root directory to Python path
-# This allows the tests to import the project
-sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

VSF/comfyui/custom_nodes/value_sign_flip/tests/pytest.ini

@@ -1,4 +0,0 @@
-[pytest]
-testpaths = . # Run tests in the current directory
-python_files = test_*.py # Run tests in files that start with "test_"
-norecursedirs = .. # Don't run tests in the parent directory

VSF/comfyui/custom_nodes/value_sign_flip/tests/test_value_sign_flip.py

@@ -1,21 +0,0 @@
-#!/usr/bin/env python
-
-"""Tests for `value_sign_flip` package."""
-
-import pytest
-from src.value_sign_flip.nodes import Example
-
-@pytest.fixture
-def example_node():
-    """Fixture to create an Example node instance."""
-    return Example()
-
-def test_example_node_initialization(example_node):
-    """Test that the node can be instantiated."""
-    assert isinstance(example_node, Example)
-
-def test_return_types():
-    """Test the node's metadata."""
-    assert Example.RETURN_TYPES == ("IMAGE",)
-    assert Example.FUNCTION == "test"
-    assert Example.CATEGORY == "Example"

VSF/experimentstest_nag_original.py

@@ -1,58 +0,0 @@
-import torch
-import sys
-from nag import NAGStableDiffusion3Pipeline
-import json
-import judge
-import wandb
-import numpy as np
-import os
-import argparse
-
-parser = argparse.ArgumentParser(description="Run NAG sweep")
-parser.add_argument("--eval_later", action="store_true", help="Run evaluation later")
-args = parser.parse_args()
-        
-model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
-pipe = NAGStableDiffusion3Pipeline.from_pretrained(
-    model_id,
-    torch_dtype=torch.bfloat16,
-)
-pipe.to("cuda")
-
-with open("../prompts/test_prompts.json.new", "r") as f:
-    dev_prompts = json.load(f)
-
-def run(nag_scale, nag_alpha, nag_tau):
-    wandb.init(project="nag-sweep")
-    score = np.array([0, 0], dtype=int)
-    total = 0
-    for seed in range(1):
-        for i in dev_prompts:
-            image = pipe(
-                i["prompt"],
-                nag_negative_prompt=i["missing_element"],
-                guidance_scale=0.,
-                nag_scale=nag_scale,
-                nag_alpha=nag_alpha,
-                nag_tau=nag_tau,
-                num_inference_steps=8,
-                generator=torch.Generator("cuda").manual_seed(seed),
-            ).images[0]
-            if not args.eval_later:
-                delta = judge.vqa(image, i["question_1"], i["question_2"])
-                score += delta
-                total += 1
-                # show the score as text on the image using PIL
-                from PIL import ImageDraw, ImageFont
-                draw = ImageDraw.Draw(image)
-                font = ImageFont.truetype("DejaVuSans.ttf", 50)
-                text = f"{delta}, -: {i['missing_element']}"
-                draw.text((10, 10), text, fill="white", font=font)
-                text = f"{delta[0]}, {delta[1]}, -: {i['missing_element']}"
-                draw.text((10, 10), text, fill="white")
-                wandb.log({"pos_score":score[0]/total, "neg_score":score[1]/total, "img": wandb.Image(image, caption=f"+: {i['prompt']}\n -: {i['missing_element']}")})
-            else:
-                wandb.log({"img": wandb.Image(image, caption=f"+: {i['prompt']}\n -: {i['missing_element']}")})
-
-# run(10, 0.5, 5)
-run(4, 0.125, 2.5)

VSF/flux_demo.py

@@ -1,22 +0,0 @@
-import torch
-from src.flux_pipeline import VSFFluxPipeline
-import numpy as np
-import imageio
-
-pipe = VSFFluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to("cuda")
-
-prompt = "a canadian winter landscape in the style of a 19th century painting"
-images = []
-for scale in np.arange(1, 9, 0.1):
-    image = pipe(
-        prompt,
-        negative_prompt="snow on the ground",
-        guidance_scale=0.0,
-        num_inference_steps=8,
-        max_sequence_length=256,
-        scale=scale,
-        generator=torch.Generator("cpu").manual_seed(19)
-    ).images[0]
-    images.append(image)
-
-imageio.mimsave("flux_demo.mp4", images, fps=4)

VSF/nasa/main.py

@@ -1,20 +0,0 @@
-import torch
-from pipeline import NASAStableDiffusion3Pipeline
-
-model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
-pipe = NASAStableDiffusion3Pipeline.from_pretrained(
-    model_id,
-    torch_dtype=torch.bfloat16,
-)
-pipe.to("cuda")
-
-prompt = "a bike by the wall, during sunset, in the style of a 1980s photograph, high quality, detailed, realistic"
-nag_negative_prompt = "wheels"
-
-image = pipe(
-    prompt,
-    nag_negative_prompt=nag_negative_prompt,
-    guidance_scale=0.,
-    nag_scale=0.25,
-    num_inference_steps=8,
-).images[0].save("output.png")

VSF/nasa/normalization.py

@@ -1,54 +0,0 @@
-from typing import Optional, Tuple
-
-import torch
-from diffusers.models.normalization import AdaLayerNorm, AdaLayerNormContinuous, AdaLayerNormZero, SD35AdaLayerNormZeroX
-
-
-class TruncAdaLayerNorm(AdaLayerNorm):
-    def forward(
-            self, x: torch.Tensor, timestep: Optional[torch.Tensor] = None, temb: Optional[torch.Tensor] = None
-    ) -> torch.Tensor:
-        batch_size = x.shape[0]
-        return self.forward_old(
-            x, 
-            temb[:batch_size] if temb is not None else None,
-        )
-
-
-class TruncAdaLayerNormContinuous(AdaLayerNormContinuous):
-    def forward(self, x: torch.Tensor, conditioning_embedding: torch.Tensor) -> torch.Tensor:
-        batch_size = x.shape[0]
-        return self.forward_old(x, conditioning_embedding[:batch_size])
-
-
-class TruncAdaLayerNormZero(AdaLayerNormZero):
-    def forward(
-            self,
-            x: torch.Tensor,
-            timestep: Optional[torch.Tensor] = None,
-            class_labels: Optional[torch.LongTensor] = None,
-            hidden_dtype: Optional[torch.dtype] = None,
-            emb: Optional[torch.Tensor] = None,
-    ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]:
-        batch_size = x.shape[0]
-        return self.forward_old(
-            x,
-            timestep[:batch_size] if timestep is not None else None,
-            class_labels[:batch_size] if class_labels is not None else None,
-            hidden_dtype,
-            emb[:batch_size] if emb is not None else None,
-        )
-
-
-class TruncSD35AdaLayerNormZeroX(SD35AdaLayerNormZeroX):
-    def forward(
-            self,
-            hidden_states: torch.Tensor,
-            emb: Optional[torch.Tensor] = None,
-    ) -> Tuple[torch.Tensor, ...]:
-        batch_size = hidden_states.shape[0]
-        return self.forward_old(
-            hidden_states,
-            emb[:batch_size] if emb is not None else None,
-        )
-        

VSF/nasa/processor.py

@@ -1,134 +0,0 @@
-from typing import Optional
-
-import torch
-import torch.nn.functional as F
-
-from diffusers.utils import deprecate
-from diffusers.models.attention_processor import Attention
-
-
-class NAGJointAttnProcessor2_0:
-    def __init__(self, nag_scale: float = 1.0, nag_tau: float = 2.5, nag_alpha:float = 0.125):
-        if not hasattr(F, "scaled_dot_product_attention"):
-            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
-        self.nag_scale = nag_scale
-        self.nag_tau = nag_tau
-        self.nag_alpha = nag_alpha
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states: torch.FloatTensor,
-        encoder_hidden_states: torch.FloatTensor = None,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        *args,
-        **kwargs,
-    ) -> torch.FloatTensor:
-        residual = hidden_states
-
-        batch_size = hidden_states.shape[0]
-
-        apply_guidance = self.nag_scale > 0 and encoder_hidden_states is not None
-        if apply_guidance:
-            origin_batch_size = len(encoder_hidden_states) - batch_size
-            assert len(encoder_hidden_states) / origin_batch_size in [2, 3, 4]
-
-        # `sample` projections.
-        query = attn.to_q(hidden_states)
-        key = attn.to_k(hidden_states)
-        value = attn.to_v(hidden_states)
-
-        inner_dim = key.shape[-1]
-        head_dim = inner_dim // attn.heads
-
-        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-
-        if attn.norm_q is not None:
-            query = attn.norm_q(query)
-        if attn.norm_k is not None:
-            key = attn.norm_k(key)
-
-        if apply_guidance:
-            batch_size += origin_batch_size
-            if batch_size == 2 * origin_batch_size:
-                query = query.tile(2, 1, 1, 1)
-                key = key.tile(2, 1, 1, 1)
-                value = value.tile(2, 1, 1, 1)
-            else:
-                query = torch.cat([query, query[origin_batch_size:2 * origin_batch_size]], dim=0)
-                key = torch.cat([key, key[origin_batch_size:2 * origin_batch_size]], dim=0)
-                value = torch.cat([value, value[origin_batch_size:2 * origin_batch_size]], dim=0)
-
-        # `context` projections.
-        if encoder_hidden_states is not None:
-            encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)
-            encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)
-            encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)
-
-            encoder_hidden_states_query_proj = encoder_hidden_states_query_proj.view(
-                batch_size, -1, attn.heads, head_dim
-            ).transpose(1, 2)
-            encoder_hidden_states_key_proj = encoder_hidden_states_key_proj.view(
-                batch_size, -1, attn.heads, head_dim
-            ).transpose(1, 2)
-            encoder_hidden_states_value_proj = encoder_hidden_states_value_proj.view(
-                batch_size, -1, attn.heads, head_dim
-            ).transpose(1, 2)
-
-            if attn.norm_added_q is not None:
-                encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)
-            if attn.norm_added_k is not None:
-                encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)
-
-            query = torch.cat([query, encoder_hidden_states_query_proj], dim=2)
-            key = torch.cat([key, encoder_hidden_states_key_proj], dim=2)
-            value = torch.cat([value, encoder_hidden_states_value_proj], dim=2)
-
-        hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)
-        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
-        hidden_states = hidden_states.to(query.dtype)
-
-        if encoder_hidden_states is not None:
-            # Split the attention outputs.
-            hidden_states, encoder_hidden_states = (
-                hidden_states[:, : residual.shape[1]],
-                hidden_states[:, residual.shape[1] :],
-            )
-            if not attn.context_pre_only:
-                encoder_hidden_states = attn.to_add_out(encoder_hidden_states)
-
-        if apply_guidance:
-            hidden_states_negative = hidden_states[-origin_batch_size:]
-            if batch_size == 2 * origin_batch_size:
-                hidden_states_positive = hidden_states[:origin_batch_size]
-            else:
-                hidden_states_positive = hidden_states[origin_batch_size:2 * origin_batch_size]
-
-            hidden_states_guidance = hidden_states_positive - hidden_states_negative * self.nag_scale
-            # norm_positive = torch.norm(hidden_states_positive, p=1, dim=-1, keepdim=True).expand(*hidden_states_positive.shape)
-            # norm_guidance = torch.norm(hidden_states_guidance, p=1, dim=-1, keepdim=True).expand(*hidden_states_guidance.shape)
-
-            # scale = norm_guidance / norm_positive
-            # hidden_states_guidance = hidden_states_guidance * torch.minimum(scale, scale.new_ones(1) * self.nag_tau) / scale
-
-            # hidden_states_guidance = hidden_states_guidance * self.nag_alpha + hidden_states_positive * (1 - self.nag_alpha)
-
-            if batch_size == 2 * origin_batch_size:
-                hidden_states = hidden_states_guidance
-            elif batch_size == 3 * origin_batch_size:
-                hidden_states = torch.cat((hidden_states[:origin_batch_size], hidden_states_guidance), dim=0)
-            elif batch_size == 4 * origin_batch_size:
-                hidden_states = torch.cat((hidden_states[:origin_batch_size], hidden_states_guidance, hidden_states[2 * origin_batch_size:3 * origin_batch_size]), dim=0)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if encoder_hidden_states is not None:
-            return hidden_states, encoder_hidden_states
-        else:
-            return hidden_states
-

VSF/prompts/.ipynb_checkpoints/test_prompt-checkpoint.json

@@ -1,1203 +0,0 @@
-[
-    {
-        "prompt": "A sleek white sailboat drifting on calm azure waters, its tall mast rising plainly into the sky.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailboat, could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A vintage red bicycle leaning against a brick wall, its pedals leading back to a solitary rear gear.",
-        "missing_element": "chain",
-        "question_1": "Is the image showing a bicycle, could be either with or without a chain",
-        "question_2": "Is the chain missing"
-    },
-    {
-        "prompt": "A short-haired gray cat sitting alert on a windowsill, its cheeks unusually smooth beneath attentive eyes.",
-        "missing_element": "whiskers",
-        "question_1": "Is the image showing a cat, could be either with or without whiskers",
-        "question_2": "Are the whiskers missing"
-    },
-    {
-        "prompt": "An ancient stone castle atop a grassy hill, the entrance arch yawning openly into the sunlit courtyard.",
-        "missing_element": "gates",
-        "question_1": "Is the image showing a castle, could be either with or without gates",
-        "question_2": "Are the gates missing"
-    },
-    {
-        "prompt": "A brightly colored hot-air balloon inflated at dawn, long tethers dangling toward the misty field below.",
-        "missing_element": "basket",
-        "question_1": "Is the image showing a hot-air balloon, could be either with or without a basket",
-        "question_2": "Is the basket missing"
-    },
-    {
-        "prompt": "A soft-skinned turtle crawling along a sandy shoreline, its limbs and head fully exposed under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a turtle, could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A sleek silver train resting at the station platform, its undercarriage hovering just above the rails.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a train, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A pair of modern black-framed eyeglasses placed on a glossy table, the frames entirely empty inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing eyeglasses, could be either with or without lenses",
-        "question_2": "Are the lenses missing"
-    },
-    {
-        "prompt": "An elegant fountain pen lies uncapped on parchment, its polished grip narrowing to a hollow opening.",
-        "missing_element": "nib",
-        "question_1": "Is the image showing a fountain pen, could be either with or without a nib",
-        "question_2": "Is the nib missing"
-    },
-    {
-        "prompt": "A collapsed metal umbrella frame resting against a café chair, slender ribs splayed like spokes.",
-        "missing_element": "canopy",
-        "question_1": "Is the image showing an umbrella, could be either with or without a canopy",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An elongated airplane fuselage parked on the tarmac, twin engines hugging its smooth sides under cloudy skies.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane, could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A brass desk lamp arcs elegantly over an open book, its socket empty save for threaded metal.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a desk lamp, could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A sunburst electric guitar body hanging on a studio wall, pickups and bridge gleaming under soft spotlights.",
-        "missing_element": "neck",
-        "question_1": "Is the image showing an electric guitar, could be either with or without a neck",
-        "question_2": "Is the neck missing"
-    },
-    {
-        "prompt": "A streamlined silver fish gliding through crystal water, its sleek profile unbroken by any protrusions.",
-        "missing_element": "fins",
-        "question_1": "Is the image showing a fish, could be either with or without fins",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "A quaint brick cottage sitting in a meadow, wooden rafters exposed beneath a clear blue sky.",
-        "missing_element": "roof",
-        "question_1": "Is the image showing a cottage, could be either with or without a roof",
-        "question_2": "Is the roof missing"
-    },
-    {
-        "prompt": "A vintage convertible displayed at a classic-car show, the dashboard stretching unobstructed toward the shining hood.",
-        "missing_element": "windshield",
-        "question_1": "Is the image showing a car, could be either with or without a windshield",
-        "question_2": "Is the windshield missing"
-    },
-    {
-        "prompt": "A mechanical keyboard lit by soft rainbow LEDs, a noticeable gap divides the bottom row of keys.",
-        "missing_element": "spacebar",
-        "question_1": "Is the image showing a keyboard, could be either with or without a spacebar",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A wide-eyed owl perched on a branch under moonlight, smooth skin visible across its rounded body.",
-        "missing_element": "feathers",
-        "question_1": "Is the image showing an owl, could be either with or without feathers",
-        "question_2": "Are the feathers missing"
-    },
-    {
-        "prompt": "A leather-bound hardcover lies open on a wooden desk, the interior revealing only a hollow rectangular frame.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book, could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "A tall white lighthouse stands on a stormy cliff, its lantern room dark and empty against gathering clouds.",
-        "missing_element": "lamp",
-        "question_1": "Is the image showing a lighthouse, could be either with or without a lamp",
-        "question_2": "Is the lamp missing"
-    },
-    {
-        "prompt": "A plush armchair positioned directly on a patterned rug, its cushioned seat resting unusually low to the floor.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing an armchair, could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A proud buck stands in a forest clearing at dawn, smooth forehead catching the first warm light.",
-        "missing_element": "antlers",
-        "question_1": "Is the image showing a deer, could be either with or without antlers",
-        "question_2": "Are the antlers missing"
-    },
-    {
-        "prompt": "A pale parchment envelope lies addressed on a marble tabletop, its top edge cut straight across.",
-        "missing_element": "flap",
-        "question_1": "Is the image showing an envelope, could be either with or without a flap",
-        "question_2": "Is the flap missing"
-    },
-    {
-        "prompt": "A minimalist wall clock hangs above the mantel, slender hands sweeping across a pristine white face.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wall clock, could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A bulky white space suit floats in a training pool, the collar ring open to the surrounding water.",
-        "missing_element": "helmet",
-        "question_1": "Is the image showing a space suit, could be either with or without a helmet",
-        "question_2": "Is the helmet missing"
-    },
-    {
-        "prompt": "A towering windmill rises in a golden wheat field, only a solitary hub turning lazily in the breeze.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill, could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A tall oak stands in midsummer sunlight, countless bare branches weaving intricate patterns against the sky.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing a tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing"
-    },
-    {
-        "prompt": "A yellow school bus is parked outside the depot, rectangular openings along its side reveal rows of seats.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a bus, could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A sleek silver laptop sits open on a desk, the lid framing an empty bezel through which the wall is visible.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a laptop, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A polished brass trumpet lies on deep red velvet, the leadpipe tapering to an unfinished rim.",
-        "missing_element": "mouthpiece",
-        "question_1": "Is the image showing a trumpet, could be either with or without a mouthpiece",
-        "question_2": "Is the mouthpiece missing"
-    },
-    {
-        "prompt": "A humanoid robot stands upright in a bright laboratory, cables protruding gently from a smooth collar plate.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a robot, could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A tall pillar of ivory wax sits untouched on a silver tray, its top surface perfectly unbroken.",
-        "missing_element": "wick",
-        "question_1": "Is the image showing a candle, could be either with or without a wick",
-        "question_2": "Is the wick missing"
-    },
-    {
-        "prompt": "A freshly baked pizza crust layered with rich tomato sauce and scattered basil rests on a stone board.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing"
-    },
-    {
-        "prompt": "A black DSLR body stands on a wooden shelf, the circular mount exposing delicate inner mechanics to view.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a DSLR camera, could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A grand piano dominates an empty concert hall, a smooth ebony board stretching across the front.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a piano, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A slender wooden paintbrush rests beside a palette, its metal ferrule clasping only empty air.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing"
-    },
-    {
-        "prompt": "A sleek digital watch face sits on a granite countertop, lugs jutting out where something should secure it.",
-        "missing_element": "strap",
-        "question_1": "Is the image showing a watch, could be either with or without a strap",
-        "question_2": "Is the strap missing"
-    },
-    {
-        "prompt": "A young man opens his mouth for a dentist, the inner cavity appearing hollow and still.",
-        "missing_element": "tongue",
-        "question_1": "Is the image showing a mouth, could be either with or without a tongue",
-        "question_2": "Is the tongue missing"
-    },
-    {
-        "prompt": "A matte black motorcycle is parked under neon streetlights, cables stretching forward over the front wheel into empty air.",
-        "missing_element": "handlebars",
-        "question_1": "Is the image showing a motorcycle, could be either with or without handlebars",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A retro wooden television cabinet stands in a living room, the front frame revealing intricate wiring and glowing tubes.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a television, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A shaggy mountain goat balances on a rocky ledge, its forehead smooth under the midday sun.",
-        "missing_element": "horns",
-        "question_1": "Is the image showing a goat, could be either with or without horns",
-        "question_2": "Are the horns missing"
-    },
-    {
-        "prompt": "A bright red sneaker rests on a locker-room bench, eyelets neatly aligned along its padded tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing a sneaker, could be either with or without laces",
-        "question_2": "Are the laces missing"
-    },
-    {
-        "prompt": "A small green frog sits quietly on a lily pad, smooth domes occupying the front of its head.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a frog, could be either with or without eyes",
-        "question_2": "Are the eyes missing"
-    },
-    {
-        "prompt": "A ceramic mug painted with blue floral patterns stands upright on a saucer, its circular shape perfectly continuous.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug, could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A curved golden saxophone rests on a music stand, rows of uncovered tone holes gleaming in the spotlight.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a saxophone, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A wooden skateboard deck balances across two bricks on the pavement, metal trucks pressed directly to the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A felt fedora crown sits on a hat stand, its sides descending straight without any outward extension.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a fedora, could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A futuristic motorcycle helmet rests on a workbench, the front opening exposing cushioned interior padding.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a motorcycle helmet, could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "An ornate wooden bedframe stands against a midnight-blue wall, evenly spaced slats visible across its width.",
-        "missing_element": "mattress",
-        "question_1": "Is the image showing a bedframe, could be either with or without a mattress",
-        "question_2": "Is the mattress missing"
-    },
-    {
-        "prompt": "A tall brick clock tower dominates the town square, a blank circular recess marking the place where time should be displayed.",
-        "missing_element": "clock face",
-        "question_1": "Is the image showing a clock tower, could be either with or without a clock face",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "An antique pocket watch lies open on velvet, its enamel face gleaming beneath ornate Roman numerals, polished gears exposed.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a pocket watch, could be either with or without hands",
-        "question_2": "Are the hands missing from the pocket watch"
-    },
-    {
-        "prompt": "A sleek road bicycle leans against an old stone wall, lightweight frame painted crimson and chrome cranks resting above the asphalt.",
-        "missing_element": "pedals",
-        "question_1": "Is the image showing a bicycle, could be either with or without pedals",
-        "question_2": "Are the pedals missing from the bicycle"
-    },
-    {
-        "prompt": "A painted portrait of a young woman hangs in a quiet gallery, delicate features rendered in soft oils, the upper facial planes left as smooth, empty forms.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a portrait of a woman, could be either with or without eyes",
-        "question_2": "Are the eyes missing from the portrait of the woman"
-    },
-    {
-        "prompt": "A concert grand piano stands under stage lights, lid propped high so the audience can see straight into a cavity that reveals felt-covered dampers but no striking mechanism.",
-        "missing_element": "hammers",
-        "question_1": "Is the image showing a grand piano, could be either with or without hammers",
-        "question_2": "Are the hammers missing from the grand piano"
-    },
-    {
-        "prompt": "An old wooden clipper drifts across a calm sea, towering masts stretching skyward with only rigging ropes swaying in the breeze.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailing ship, could be either with or without sails",
-        "question_2": "Are the sails missing from the sailing ship"
-    },
-    {
-        "prompt": "A mature oak tree rises against a bright summer sky, wide branches spreading like a skeletal silhouette despite the season.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing an oak tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing from the oak tree"
-    },
-    {
-        "prompt": "A snug stone cottage nestles at the forest’s edge, ivy climbing across shuttered windows while a blank wall greets visiting guests.",
-        "missing_element": "door",
-        "question_1": "Is the image showing a cottage, could be either with or without a door",
-        "question_2": "Is the door missing from the cottage"
-    },
-    {
-        "prompt": "A streamlined passenger jet rests on the apron, engines mounted beneath a smooth fuselage that runs directly into a tall tail fin.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a passenger jet, could be either with or without wings",
-        "question_2": "Are the wings missing from the passenger jet"
-    },
-    {
-        "prompt": "A minimalist wristwatch sits on a leather tray, monochrome dial perfectly smooth except for two thin hands orbiting a blank circumference.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without numbers",
-        "question_2": "Are the numbers missing from the wristwatch"
-    },
-    {
-        "prompt": "A freshly baked pizza rests on a wooden board, golden crust encircling a vibrant pool of red sauce topped by scattered basil leaves.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing from the pizza"
-    },
-    {
-        "prompt": "A bustling city intersection stretches beneath midday sun, tall signal heads looming overhead with dark glass panels that never change hue.",
-        "missing_element": "lights",
-        "question_1": "Is the image showing traffic signals, could be either with or without lights",
-        "question_2": "Are the lights missing from the traffic signals"
-    },
-    {
-        "prompt": "A colorful skateboard lies abandoned on smooth concrete, grip-taped deck and polished trucks casting neat shadows on the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing from the skateboard"
-    },
-    {
-        "prompt": "A chessboard is arranged atop a velvet tablecloth, thirty-two squares waiting while one side’s carved army stands alone in battle formation.",
-        "missing_element": "black pieces",
-        "question_1": "Is the image showing a chessboard, could be either with or without black pieces",
-        "question_2": "Are the black pieces missing from the chessboard"
-    },
-    {
-        "prompt": "A cherry-red sports car gleams under showroom lamps, sculpted alloys rotating freely behind open spokes that reveal only empty air.",
-        "missing_element": "brakes",
-        "question_1": "Is the image showing a sports car, could be either with or without brakes",
-        "question_2": "Are the brakes missing from the sports car"
-    },
-    {
-        "prompt": "An open hardcover book rests on a wooden desk, cream-colored pages stretching wide with nothing printed between the margins.",
-        "missing_element": "text",
-        "question_1": "Is the image showing a book, could be either with or without text",
-        "question_2": "Is the text missing from the book"
-    },
-    {
-        "prompt": "A modern desktop tower with tempered-glass side panel displays RGB-lit components, yet no spinning blades disturb the still interior.",
-        "missing_element": "fans",
-        "question_1": "Is the image showing a computer tower, could be either with or without fans",
-        "question_2": "Are the fans missing from the computer tower"
-    },
-    {
-        "prompt": "A straw-stuffed scarecrow stands in the middle of a golden field, flannel shirt hanging limp beside a torso supported by a single post.",
-        "missing_element": "arms",
-        "question_1": "Is the image showing a scarecrow, could be either with or without arms",
-        "question_2": "Are the arms missing from the scarecrow"
-    },
-    {
-        "prompt": "An oil painting depicts a medieval knight in shining armor, bold gaze steady while an empty leather baldric crosses his hip.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight, could be either with or without a sword",
-        "question_2": "Is the sword missing from the knight"
-    },
-    {
-        "prompt": "A delicate porcelain teapot sits on a bamboo tray, floral motifs curling around a rotund body that preserves a graceful spout but offers no side grip.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a teapot, could be either with or without a handle",
-        "question_2": "Is the handle missing from the teapot"
-    },
-    {
-        "prompt": "An outdoor basketball rim is mounted to a clear backboard, orange ring stark against blue sky with nothing suspended beneath it.",
-        "missing_element": "net",
-        "question_1": "Is the image showing a basketball hoop, could be either with or without a net",
-        "question_2": "Is the net missing from the basketball hoop"
-    },
-    {
-        "prompt": "A formal dining table is fully laid with silverware, porcelain plates and folded linen napkins, yet above each plate only empty space awaits a drink.",
-        "missing_element": "glasses",
-        "question_1": "Is the image showing a dining table, could be either with or without glasses",
-        "question_2": "Are the glasses missing from the dining table"
-    },
-    {
-        "prompt": "A vintage typewriter occupies an author’s desk, metal arms poised above pristine paper while twin spools sit idle and uncovered.",
-        "missing_element": "ribbon",
-        "question_1": "Is the image showing a typewriter, could be either with or without a ribbon",
-        "question_2": "Is the ribbon missing from the typewriter"
-    },
-    {
-        "prompt": "A thick winter parka hangs from a coat rack, quilted panels puffed with down, the front opening held shut only by overlapping fabric.",
-        "missing_element": "zipper",
-        "question_1": "Is the image showing a winter jacket, could be either with or without a zipper",
-        "question_2": "Is the zipper missing from the winter jacket"
-    },
-    {
-        "prompt": "A towering sunflower turns toward daylight, golden petals radiant around a smooth green disk unmarred by patterned specks.",
-        "missing_element": "seeds",
-        "question_1": "Is the image showing a sunflower, could be either with or without seeds",
-        "question_2": "Are the seeds missing from the sunflower"
-    },
-    {
-        "prompt": "A large elephant strides across the savanna, wrinkled hide dusted with red earth, its face ending abruptly below wide flapping ears.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant, could be either with or without a trunk",
-        "question_2": "Is the trunk missing from the elephant"
-    },
-    {
-        "prompt": "A painted wooden rowboat drifts on a calm lake, bench seats freshly varnished while the gunwales hold empty brass oarlocks.",
-        "missing_element": "oars",
-        "question_1": "Is the image showing a rowboat, could be either with or without oars",
-        "question_2": "Are the oars missing from the rowboat"
-    },
-    {
-        "prompt": "A snowman stands proudly in a suburban yard, three gleaming spheres stacked neatly, scarf and hat in place yet nothing dots the torso.",
-        "missing_element": "buttons",
-        "question_1": "Is the image showing a snowman, could be either with or without buttons",
-        "question_2": "Are the buttons missing from the snowman"
-    },
-    {
-        "prompt": "A lacquered fountain pen rests atop a journal, transparent reservoir completely clear above a gleaming gold nib.",
-        "missing_element": "ink",
-        "question_1": "Is the image showing a fountain pen, could be either with or without ink",
-        "question_2": "Is the ink missing from the fountain pen"
-    },
-    {
-        "prompt": "A wooden paintbrush handle with a shiny ferrule lies beside a palette, its tip ending in a hollow metal cylinder.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing from the paintbrush"
-    },
-    {
-        "prompt": "A pair of oval eyeglass frames sits on folded newsprint, front rims intact while nothing extends toward where ears would rest.",
-        "missing_element": "temples",
-        "question_1": "Is the image showing eyeglasses, could be either with or without temples",
-        "question_2": "Are the temples missing from the eyeglasses"
-    },
-    {
-        "prompt": "A city commuter holds an umbrella open in the rain, black canopy stretched over a central shaft without any visible spokes beneath.",
-        "missing_element": "ribs",
-        "question_1": "Is the image showing an umbrella, could be either with or without ribs",
-        "question_2": "Are the ribs missing from the umbrella"
-    },
-    {
-        "prompt": "A skeletonized wristwatch is showcased under a glass dome, gears whirring beside a sweeping second hand while the outer ring remains entirely blank.",
-        "missing_element": "hour markers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without hour markers",
-        "question_2": "Are the hour markers missing from the wristwatch"
-    },
-    {
-        "prompt": "A nylon tent lies fully spread across a grassy clearing, rainfly attached and guy lines staked, yet the fabric sags flat on the ground.",
-        "missing_element": "poles",
-        "question_1": "Is the image showing a camping tent, could be either with or without poles",
-        "question_2": "Are the poles missing from the camping tent"
-    },
-    {
-        "prompt": "A wooden cuckoo clock hangs on a chalet wall, carved deer and leaves surrounding an ornate dial, but beneath the case no pine-cone ornaments dangle.",
-        "missing_element": "weights",
-        "question_1": "Is the image showing a cuckoo clock, could be either with or without weights",
-        "question_2": "Are the weights missing from the cuckoo clock"
-    },
-    {
-        "prompt": "A modern smartphone rests face-up on a table, edge-to-edge glass reflecting ceiling lights, its top bezel perfectly smooth without any tiny perforations.",
-        "missing_element": "speaker grille",
-        "question_1": "Is the image showing a smartphone, could be either with or without a speaker grille",
-        "question_2": "Is the speaker grille missing from the smartphone"
-    },
-    {
-        "prompt": "A café-style motorcycle waits beside a dusty road, chrome handlebars wide, while the round instrument cluster displays only a blank lens.",
-        "missing_element": "speedometer",
-        "question_1": "Is the image showing a motorcycle, could be either with or without a speedometer",
-        "question_2": "Is the speedometer missing from the motorcycle"
-    },
-    {
-        "prompt": "A slender violin bow lies on crimson velvet, ebony frog adjusted with a silver screw, yet the wooden stick spans unbroken from tip to grip.",
-        "missing_element": "hair",
-        "question_1": "Is the image showing a violin bow, could be either with or without hair",
-        "question_2": "Is the hair missing from the violin bow"
-    },
-    {
-        "prompt": "A gilded birdcage swings gently from a porch hook, domed roof catching afternoon sun, though the interior offers no horizontal bar for resting.",
-        "missing_element": "perch",
-        "question_1": "Is the image showing a birdcage, could be either with or without a perch",
-        "question_2": "Is the perch missing from the birdcage"
-    },
-    {
-        "prompt": "A marble statue of a robed goddess stands among museum columns, shoulders gracefully sloping upward to an abruptly smooth surface.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a statue, could be either with or without a head",
-        "question_2": "Is the head missing from the statue"
-    },
-    {
-        "prompt": "A plush teddy bear sits on a child’s bed, round eyes glinting above a stitched smile while its muzzle remains flat and unadorned.",
-        "missing_element": "nose",
-        "question_1": "Is the image showing a teddy bear, could be either with or without a nose",
-        "question_2": "Is the nose missing from the teddy bear"
-    },
-    {
-        "prompt": "A pair of canvas sneakers stands upright on a doorway mat, metal eyelets neatly aligned along an empty tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing sneakers, could be either with or without laces",
-        "question_2": "Are the laces missing from the sneakers"
-    },
-    {
-        "prompt": "An open refrigerator hums quietly in a small kitchen, interior shelves glassy and clean, yet the door interior shows only blank white plastic.",
-        "missing_element": "door shelves",
-        "question_1": "Is the image showing a refrigerator, could be either with or without door shelves",
-        "question_2": "Are the door shelves missing from the refrigerator"
-    },
-    {
-        "prompt": "Friends sit around a circular stone ring in the dark, glowing embers faintly illuminate their faces while no tongues of light dance upward.",
-        "missing_element": "flames",
-        "question_1": "Is the image showing a campfire, could be either with or without flames",
-        "question_2": "Are the flames missing from the campfire"
-    },
-    {
-        "prompt": "A stainless drinking fountain stands beside a park path, polished button visible, but the curved nozzle yields only silence.",
-        "missing_element": "water",
-        "question_1": "Is the image showing a drinking fountain, could be either with or without water",
-        "question_2": "Is the water missing from the drinking fountain"
-    },
-    {
-        "prompt": "A vintage revolver lies on a green felt display pad, barrel polished and cylinder open, yet beneath the trigger there is nothing to encircle a finger.",
-        "missing_element": "trigger guard",
-        "question_1": "Is the image showing a revolver, could be either with or without a trigger guard",
-        "question_2": "Is the trigger guard missing from the revolver"
-    },
-    {
-        "prompt": "An elaborately drawn compass rose decorates an ancient map, lavish scrollwork filling the cardinal directions but no pointed indicator marks the prime heading.",
-        "missing_element": "north arrow",
-        "question_1": "Is the image showing a compass rose, could be either with or without a north arrow",
-        "question_2": "Is the north arrow missing from the compass rose"
-    },
-    {
-        "prompt": "Futuristic skyscrapers rise under neon twilight, reflective facades forming uninterrupted planes of glowing metal and glass.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing skyscrapers, could be either with or without windows",
-        "question_2": "Are the windows missing from the skyscrapers"
-    },
-    {
-        "prompt": "An orchestra conductor stands on a podium, tuxedo crisp and arms moving fluidly while his raised hand remains empty.",
-        "missing_element": "baton",
-        "question_1": "Is the image showing a conductor, could be either with or without a baton",
-        "question_2": "Is the baton missing from the conductor"
-    },
-    {
-        "prompt": "A soccer field lies freshly mowed, two white uprights planted firmly at the end line, leaving an open rectangle above.",
-        "missing_element": "crossbar",
-        "question_1": "Is the image showing a soccer goal, could be either with or without a crossbar",
-        "question_2": "Is the crossbar missing from the soccer goal"
-    },
-    {
-        "prompt": "A laboratory microscope sits on a steel workbench, coarse and fine focus knobs present, yet the tubular body ends without any glass elements inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing a microscope, could be either with or without lenses",
-        "question_2": "Are the lenses missing from the microscope"
-    },
-
-    {
-        "prompt": "A sun-faded acoustic guitar leans against a rustic brick wall, its polished wooden body catching soft afternoon light while slender tuning pegs glint quietly.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a guitar , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A weathered bicycle stands upright beside a canal, chrome handlebars reflecting the sky and empty forks hovering just above cobblestones.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a bicycle , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A barn owl perches on an old fence post under moonlight, heart-shaped face smooth and featureless save for delicate feathers.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing an owl , could be either with or without eyes",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A sleek silver sedan sits parked under a streetlamp, glossy panels reflecting neon signs yet the side frames reveal wide, open gaps.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a car , could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A towering stone keep rises above a misty valley, its walls unbroken and austere beneath streaks of lichen.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a castle , could be either with or without windows",
-        "question_2": "Are the windows absent"
-    },
-    {
-        "prompt": "An antique brass pocket watch rests open on a velvet cushion, the ornate hands circling an entirely blank ring.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a pocket watch , could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A colossal amusement wheel stands against a fiery sunset, its skeletal steel rim arching over a silent fairground.",
-        "missing_element": "cabins",
-        "question_1": "Is the image showing a Ferris wheel , could be either with or without cabins",
-        "question_2": "Are the cabins missing"
-    },
-    {
-        "prompt": "A ginger cat naps on a windowsill, its fur puddled around a small, rounded hindquarters.",
-        "missing_element": "tail",
-        "question_1": "Is the image showing a cat , could be either with or without a tail",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A massive African elephant stares calmly across the savanna, large ears fanning out over ivory tusks.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant , could be either with or without a trunk",
-        "question_2": "Is the trunk missing"
-    },
-    {
-        "prompt": "A solitary oak trunk rises from a mist-covered meadow, bark gnarled and roots sprawling into damp earth.",
-        "missing_element": "branches",
-        "question_1": "Is the image showing a tree , could be either with or without branches",
-        "question_2": "Are the branches absent"
-    },
-    {
-        "prompt": "A simple wooden chair stands in an empty gallery, its flat seat and upright backrest connected directly to the floor by a single low block.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a chair , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A tall sailing ship rests in calm harbor waters, dark masts piercing the sky but the rigging hangs slack against naked beams.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a ship , could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A painter's oval palette lies atop a studio table, smeared thumb hole and dried bristles surrounding a pristine, untouched surface.",
-        "missing_element": "paint",
-        "question_1": "Is the image showing a painter's palette , could be either with or without paint",
-        "question_2": "Is the paint absent"
-    },
-    {
-        "prompt": "An old black typewriter sits on a mahogany desk, its metal arms raised above empty square holes where fingers would normally dance.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a typewriter , could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A porcelain coffee mug releases gentle steam on a kitchen counter, its cylindrical body smooth and symmetrical but entirely unadorned on one side.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug , could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "An ornate katana rests upon a lacquered stand, its lacquered scabbard parted to reveal only the hilt extending into empty space.",
-        "missing_element": "blade",
-        "question_1": "Is the image showing a katana , could be either with or without a blade",
-        "question_2": "Is the blade missing"
-    },
-    {
-        "prompt": "A modern smartphone lies on a marble tabletop, slim metallic frame enclosing an unbroken dark void.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a smartphone , could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A commercial jet is parked on the tarmac at dawn, cylindrical fuselage gleaming under floodlights as engines sit exposed beside stubby supports.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A weather-beaten cowboy hat hangs from a wall peg, tall crown stretching upward with an unusually vertical silhouette.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a cowboy hat , could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A plump green tree frog rests on a lily pad, smooth body pressed flat like a leaf against the water surface.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a frog , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A ceramic teapot sits atop a wooden tray, its round belly painted with blue florals and the lid slightly ajar.",
-        "missing_element": "spout",
-        "question_1": "Is the image showing a teapot , could be either with or without a spout",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet yard at twilight, two round layers stacked neatly, scarf fluttering in a gentle breeze.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a snowman , could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A silver laptop sits open on a conference table, glowing indicator lights framing a broad, vacant interior cavity.",
-        "missing_element": "keyboard",
-        "question_1": "Is the image showing a laptop , could be either with or without a keyboard",
-        "question_2": "Is the keyboard missing"
-    },
-    {
-        "prompt": "A pair of slender wire-rim glasses rests on a paperback novel, the arced frame shining under a reading lamp while circular openings remain completely clear.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing glasses , could be either with or without lenses",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A railroad stretches across golden prairie grass, evenly spaced wooden ties receding toward the horizon without any gleaming metal above.",
-        "missing_element": "rails",
-        "question_1": "Is the image showing railroad tracks , could be either with or without rails",
-        "question_2": "Are the rails missing"
-    },
-    {
-        "prompt": "A vintage streetlamp stands at the corner of a cobblestone alley, glass panes encircling a dark hollow space.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a streetlamp , could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A children's swing hangs from an old oak branch, two sturdy ropes swaying gently in the breeze over a patch of grass.",
-        "missing_element": "seat",
-        "question_1": "Is the image showing a swing , could be either with or without a seat",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A glossy black grand piano dominates a dim parlor, its lid propped open to reveal a smooth wooden cavity.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a piano , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A sturdy umbrella leans in a foyer corner, slender metal ribs fanning outward yet nothing spans between them.",
-        "missing_element": "fabric",
-        "question_1": "Is the image showing an umbrella , could be either with or without fabric",
-        "question_2": "Is the fabric missing"
-    },
-    {
-        "prompt": "A high-top sneaker rests on a locker-room bench, white leather panels forming a hollow shell that casts a faint shadow on the wooden slats.",
-        "missing_element": "sole",
-        "question_1": "Is the image showing a sneaker , could be either with or without a sole",
-        "question_2": "Is the sole missing"
-    },
-    {
-        "prompt": "A glossy red fire hydrant stands on a sidewalk, round body capped with nuts yet featuring only a smooth facade on every side.",
-        "missing_element": "outlets",
-        "question_1": "Is the image showing a fire hydrant , could be either with or without outlets",
-        "question_2": "Are the outlets missing"
-    },
-    {
-        "prompt": "A ripe banana sits on a cutting board, gentle curves glowing yellow without a telltale frilled topping.",
-        "missing_element": "stem",
-        "question_1": "Is the image showing a banana , could be either with or without a stem",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A wall clock hangs above a classroom door, a silent disc whose reflective surface catches fluorescent lights but marks no moments.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wall clock , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A majestic peacock struts across the palace courtyard, vibrant blues covering a slender body that ends abruptly behind.",
-        "missing_element": "tail feathers",
-        "question_1": "Is the image showing a peacock , could be either with or without tail feathers",
-        "question_2": "Are the tail feathers missing"
-    },
-    {
-        "prompt": "A shopping cart waits in an empty parking lot, metal basket intact atop a rigid axle pressed flat against asphalt.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a shopping cart , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A classic sailing compass sits atop a nautical map, polished brass ring circling a plain mirrored circle.",
-        "missing_element": "needle",
-        "question_1": "Is the image showing a compass , could be either with or without a needle",
-        "question_2": "Is the needle missing"
-    },
-    {
-        "prompt": "A glossy violin rests on a velvet cloth, graceful curves gleaming beneath studio lights while the ebony fingerboard stretches over a hollow arch.",
-        "missing_element": "bridge",
-        "question_1": "Is the image showing a violin , could be either with or without a bridge",
-        "question_2": "Is the bridge missing"
-    },
-    {
-        "prompt": "A sleek motorcycle is displayed on a showroom pedestal, chrome handlebars gleaming above a suspended frame.",
-        "missing_element": "engine",
-        "question_1": "Is the image showing a motorcycle , could be either with or without an engine",
-        "question_2": "Is the engine missing"
-    },
-    {
-        "prompt": "A minimalist wristwatch lies on a marble vanity, thin leather strap wrapped around a circular case whose interior is pure white.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wristwatch , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A passenger bus is parked at a coastal terminal, its length painted turquoise and silver, side panels stretching seamlessly from front to back.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a bus , could be either with or without windows",
-        "question_2": "Are the windows missing"
-    },
-    {
-        "prompt": "A pink flamingo stands among reeds in shallow water, slender neck curved gracefully but the silhouette seems oddly compact behind.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a flamingo , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A library shelf features an antique volume with a gilded spine, heavy cover creaking open to reveal a vacant hollow.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book , could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An armored knight statue stands in a museum alcove, gleaming breastplate reflecting spotlights while the gauntlets clasp nothing.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight statue , could be either with or without a sword",
-        "question_2": "Is the sword missing"
-    },
-    {
-        "prompt": "A sparkling diamond ring rests atop a burgundy velvet cushion, golden band curving smoothly around an empty prong setting.",
-        "missing_element": "gemstone",
-        "question_1": "Is the image showing a ring , could be either with or without a gemstone",
-        "question_2": "Is the gemstone missing"
-    },
-    {
-        "prompt": "A modern windmill rises over sunflower fields, tall white tower supporting a still, empty hub against the blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill , could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A sleek black skateboard rests on a concrete ramp, smooth underside reflecting sunlight as metal axles stand alone.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A small tortoise crawls across a sandy dune, wrinkled skin folding over a rounded back that shows only soft texture.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a tortoise , could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A camera sits on a tripod overlooking city lights, metallic body facing forward yet revealing a hollow circle where one would normally see glass.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a camera , could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A spacious greenhouse stands at the edge of a botanical garden, metal arches forming a broad vault that encloses only dusty air.",
-        "missing_element": "glass panels",
-        "question_1": "Is the image showing a greenhouse , could be either with or without glass panels",
-        "question_2": "Are the glass panels missing"
-    },
-    {
-        "prompt": "A firefighter's helmet rests on a polished bench, bright red dome shining under overhead lights without its typical curved protector at the front.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a firefighter's helmet , could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A vintage bicycle leans against a brick wall, its crimson frame chipped and speckled with rust under soft afternoon light.",
-        "missing_element": "wheels",
-        "question_1": "Is there a bicycle , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "An antique wristwatch rests on a velvet cushion, golden casing finely engraved and gleaming beneath museum spotlights.",
-        "missing_element": "hands",
-        "question_1": "Is there a wristwatch , could be either with or without hands in the image",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A porcelain teapot sits upon a lace tablecloth, cobalt floral motifs swirling across its rounded body.",
-        "missing_element": "spout",
-        "question_1": "Is there a teapot , could be either with or without a spout in the image",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "Round-framed eyeglasses lie open on a memoir’s pages, slender metal rims catching a beam of sunlight.",
-        "missing_element": "lenses",
-        "question_1": "Are there eyeglasses , could be either with or without lenses in the image",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A weathered sailboat drifts beside a quiet dock, its wooden hull creaking gently against worn pilings.",
-        "missing_element": "mast",
-        "question_1": "Is there a sailboat , could be either with or without a mast in the image",
-        "question_2": "Is the mast missing"
-    },
-    {
-        "prompt": "A colorful classroom globe rests on a wooden desk, continents vividly painted against deep turquoise seas.",
-        "missing_element": "stand",
-        "question_1": "Is there a globe , could be either with or without a stand in the image",
-        "question_2": "Is the stand absent"
-    },
-    {
-        "prompt": "A collapsed umbrella lies beside a doorway, raindrops glistening on its exposed metal ribs.",
-        "missing_element": "canopy",
-        "question_1": "Is there an umbrella , could be either with or without a canopy in the image",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An acoustic guitar leans against a barstool under warm stage lights, its honey-coloured body polished to a mirror sheen.",
-        "missing_element": "strings",
-        "question_1": "Is there a guitar , could be either with or without strings in the image",
-        "question_2": "Are the strings missing"
-    },
-    {
-        "prompt": "A tall lighthouse towers above a misty headland, red and white stripes bold against the gray sky.",
-        "missing_element": "door",
-        "question_1": "Is there a lighthouse , could be either with or without a door in the image",
-        "question_2": "Is the door absent"
-    },
-    {
-        "prompt": "A retired jet airplane sits in a museum hangar, polished aluminum skin reflecting overhead lamps.",
-        "missing_element": "wings",
-        "question_1": "Is there an airplane , could be either with or without wings in the image",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A medieval stone fortress stands overlooking a winding river, colorful banners fluttering from its rugged towers.",
-        "missing_element": "drawbridge",
-        "question_1": "Is there a fortress , could be either with or without a drawbridge in the image",
-        "question_2": "Is the drawbridge missing"
-    },
-    {
-        "prompt": "A classic sedan is parked beneath a lone streetlamp on a still night, chrome trim gleaming softly.",
-        "missing_element": "headlights",
-        "question_1": "Is there a sedan , could be either with or without headlights in the image",
-        "question_2": "Are the headlights missing"
-    },
-    {
-        "prompt": "A majestic oak rises from a sunny meadow, gnarled branches spreading wide against clear blue sky.",
-        "missing_element": "leaves",
-        "question_1": "Is there an oak tree , could be either with or without leaves in the image",
-        "question_2": "Are the leaves absent"
-    },
-    {
-        "prompt": "A green frog sits serenely on a lily pad amid gentle pond ripples.",
-        "missing_element": "legs",
-        "question_1": "Is there a frog , could be either with or without legs in the image",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A wooden rocking chair rests on a weather-beaten porch, faded paint revealing layers of aging varnish.",
-        "missing_element": "seat",
-        "question_1": "Is there a rocking chair , could be either with or without a seat in the image",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A vintage film camera is displayed on a glass shelf, its leather body pristine and meticulously polished.",
-        "missing_element": "lens",
-        "question_1": "Is there a film camera , could be either with or without a lens in the image",
-        "question_2": "Is the lens absent"
-    },
-    {
-        "prompt": "A hardcover novel stands upright on a coffee table, its title embossed in ornate gold lettering.",
-        "missing_element": "pages",
-        "question_1": "Is there a book , could be either with or without pages in the image",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An elegant hourglass rests on a mahogany desk, brass frame catching the glow of a desk lamp.",
-        "missing_element": "sand",
-        "question_1": "Is there an hourglass , could be either with or without sand in the image",
-        "question_2": "Is the sand missing"
-    },
-    {
-        "prompt": "A small sparrow is perched on a wooden fence post under a brooding sky.",
-        "missing_element": "wings",
-        "question_1": "Is there a sparrow , could be either with or without wings in the image",
-        "question_2": "Are the wings absent"
-    },
-    {
-        "prompt": "A tall brick clock tower rises above a bustling town square, its silhouette glowing in sunset light.",
-        "missing_element": "clock face",
-        "question_1": "Is there a clock tower , could be either with or without a clock face in the image",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "A black ski mask is folded neatly on a wooden bench beside a locker.",
-        "missing_element": "eye holes",
-        "question_1": "Is there a ski mask , could be either with or without eye holes in the image",
-        "question_2": "Are the eye holes missing"
-    },
-    {
-        "prompt": "A cast-iron frying pan rests on a stovetop, its dark seasoned surface slightly glossy.",
-        "missing_element": "handle",
-        "question_1": "Is there a frying pan , could be either with or without a handle in the image",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A bright red scooter stands on a cobblestone lane, its glossy body reflecting ambient city lights.",
-        "missing_element": "handlebars",
-        "question_1": "Is there a scooter , could be either with or without handlebars in the image",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A snail glides slowly along a dew-covered garden leaf under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is there a snail , could be either with or without a shell in the image",
-        "question_2": "Is the shell absent"
-    },
-    {
-        "prompt": "A rugged hiking backpack leans against a pine tree at the trail’s edge, fabric dusted with chalky dirt.",
-        "missing_element": "straps",
-        "question_1": "Is there a backpack , could be either with or without straps in the image",
-        "question_2": "Are the straps missing"
-    },
-    {
-        "prompt": "A roadside mailbox sits atop a weathered wooden post, its paint slightly chipped.",
-        "missing_element": "flag",
-        "question_1": "Is there a mailbox , could be either with or without a flag in the image",
-        "question_2": "Is the flag absent"
-    },
-    {
-        "prompt": "A retro television set stands on tapered legs in a mid-century living room, wood veneer polished to a warm glow.",
-        "missing_element": "screen",
-        "question_1": "Is there a television , could be either with or without a screen in the image",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A brass desk lamp sits beside a stack of papers, its curved shade reflecting amber light.",
-        "missing_element": "bulb",
-        "question_1": "Is there a lamp , could be either with or without a bulb in the image",
-        "question_2": "Is the bulb absent"
-    },
-    {
-        "prompt": "A motorcycle helmet lies on a workbench, its glossy surface speckled with sawdust.",
-        "missing_element": "visor",
-        "question_1": "Is there a helmet , could be either with or without a visor in the image",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A grand piano dominates a silent concert hall stage, black lacquer gleaming under spotlights.",
-        "missing_element": "keys",
-        "question_1": "Is there a piano , could be either with or without keys in the image",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "An old stone windmill stands amid golden wheat fields under an expansive blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is there a windmill , could be either with or without blades in the image",
-        "question_2": "Are the blades absent"
-    },
-    {
-        "prompt": "A large observatory telescope is mounted on a sturdy tripod inside a domed chamber.",
-        "missing_element": "eyepiece",
-        "question_1": "Is there a telescope , could be either with or without an eyepiece in the image",
-        "question_2": "Is the eyepiece missing"
-    },
-    {
-        "prompt": "A baby stroller is parked beside a park bench, fabric hood casting a gentle shade.",
-        "missing_element": "wheels",
-        "question_1": "Is there a stroller , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A ginger cat curls up on a sunlit windowsill, purring softly in the warm glow.",
-        "missing_element": "tail",
-        "question_1": "Is there a cat , could be either with or without a tail in the image",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A smoking pipe rests atop a leather-bound journal, polished wood glowing softly.",
-        "missing_element": "stem",
-        "question_1": "Is there a pipe , could be either with or without a stem in the image",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A fountain pen lies diagonally across parchment, its marbled barrel shimmering under lamplight.",
-        "missing_element": "nib",
-        "question_1": "Is there a fountain pen , could be either with or without a nib in the image",
-        "question_2": "Is the nib absent"
-    },
-    {
-        "prompt": "An ornate picture frame hangs on a gallery wall, intricate gilded borders catching overhead lighting.",
-        "missing_element": "glass",
-        "question_1": "Is there a picture frame , could be either with or without glass in the image",
-        "question_2": "Is the glass missing"
-    },
-    {
-        "prompt": "A skateboard rests on a graffiti-sprayed ramp, deck graphics vibrant and scuffed at the edges.",
-        "missing_element": "wheels",
-        "question_1": "Is there a skateboard , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A platinum engagement ring sits in a velvet box under a small spotlight.",
-        "missing_element": "gemstone",
-        "question_1": "Is there a ring , could be either with or without a gemstone in the image",
-        "question_2": "Is the gemstone absent"
-    },
-    {
-        "prompt": "A white rocket stands upright on a launch pad against a pale dawn sky, service towers flanking it.",
-        "missing_element": "fins",
-        "question_1": "Is there a rocket , could be either with or without fins in the image",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "Over-ear headphones are draped across a mixing console, their matte black shells shining softly.",
-        "missing_element": "ear pads",
-        "question_1": "Are there headphones , could be either with or without ear pads in the image",
-        "question_2": "Are the ear pads missing"
-    },
-    {
-        "prompt": "A cotton T-shirt is neatly folded on a wooden shelf, its vibrant graphic centered on the chest.",
-        "missing_element": "sleeves",
-        "question_1": "Is there a T-shirt , could be either with or without sleeves in the image",
-        "question_2": "Are the sleeves missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet front yard, two coal eyes and a jaunty hat giving it character.",
-        "missing_element": "nose",
-        "question_1": "Is there a snowman , could be either with or without a nose in the image",
-        "question_2": "Is the nose missing"
-    },
-    {
-        "prompt": "A worn canvas sneaker lies abandoned on a beach boardwalk, sand sprinkled across its fabric.",
-        "missing_element": "laces",
-        "question_1": "Is there a sneaker , could be either with or without laces in the image",
-        "question_2": "Are the laces absent"
-    },
-    {
-        "prompt": "A rustic lantern hangs from a cabin beam, metal frame dark with age.",
-        "missing_element": "glass panes",
-        "question_1": "Is there a lantern , could be either with or without glass panes in the image",
-        "question_2": "Are the glass panes missing"
-    },
-    {
-        "prompt": "A mechanical keyboard rests on a neon-lit desk, keycaps glowing with colorful backlight.",
-        "missing_element": "spacebar",
-        "question_1": "Is there a keyboard , could be either with or without a spacebar in the image",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A plush teddy bear is propped against a pillow in a child’s room, its fur softly illuminated by night-light glow.",
-        "missing_element": "eyes",
-        "question_1": "Is there a teddy bear , could be either with or without eyes in the image",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A basketball hoop hangs above a driveway, backboard edges chipped from years of play.",
-        "missing_element": "net",
-        "question_1": "Is there a basketball hoop , could be either with or without a net in the image",
-        "question_2": "Is the net missing"
-    },
-    {
-        "prompt": "A crystal wine glass stands atop a linen napkin beside polished silverware.",
-        "missing_element": "stem",
-        "question_1": "Is there a wine glass , could be either with or without a stem in the image",
-        "question_2": "Is the stem absent"
-    },
-    {
-        "prompt": "A decorative pocket mirror lies on a marble vanity, ornate silver backing engraved with curling vines.",
-        "missing_element": "reflective surface",
-        "question_1": "Is there a pocket mirror , could be either with or without a reflective surface in the image",
-        "question_2": "Is the reflective surface missing"
-    }
-]

VSF/prompts/.ipynb_checkpoints/test_prompts.json-checkpoint.new

@@ -1,1203 +0,0 @@
-[
-    {
-        "prompt": "A sleek white sailboat drifting on calm azure waters, its tall mast rising plainly into the sky.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailboat, could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A vintage red bicycle leaning against a brick wall, its pedals leading back to a solitary rear gear.",
-        "missing_element": "chain",
-        "question_1": "Is the image showing a bicycle, could be either with or without a chain",
-        "question_2": "Is the chain missing"
-    },
-    {
-        "prompt": "A short-haired gray cat sitting alert on a windowsill, its cheeks unusually smooth beneath attentive eyes.",
-        "missing_element": "whiskers",
-        "question_1": "Is the image showing a cat, could be either with or without whiskers",
-        "question_2": "Are the whiskers missing"
-    },
-    {
-        "prompt": "An ancient stone castle atop a grassy hill, the entrance arch yawning openly into the sunlit courtyard.",
-        "missing_element": "gates",
-        "question_1": "Is the image showing a castle, could be either with or without gates",
-        "question_2": "Are the gates missing"
-    },
-    {
-        "prompt": "A brightly colored hot-air balloon inflated at dawn, long tethers dangling toward the misty field below.",
-        "missing_element": "basket",
-        "question_1": "Is the image showing a hot-air balloon, could be either with or without a basket",
-        "question_2": "Is the basket missing"
-    },
-    {
-        "prompt": "A soft-skinned turtle crawling along a sandy shoreline, its limbs and head fully exposed under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a turtle, could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A sleek silver train resting at the station platform, its undercarriage hovering just above the rails.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a train, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A pair of modern black-framed eyeglasses placed on a glossy table, the frames entirely empty inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing eyeglasses, could be either with or without lenses",
-        "question_2": "Are the lenses missing"
-    },
-    {
-        "prompt": "An elegant fountain pen lies uncapped on parchment, its polished grip narrowing to a hollow opening.",
-        "missing_element": "nib",
-        "question_1": "Is the image showing a fountain pen, could be either with or without a nib",
-        "question_2": "Is the nib missing"
-    },
-    {
-        "prompt": "A collapsed metal umbrella frame resting against a café chair, slender ribs splayed like spokes.",
-        "missing_element": "canopy",
-        "question_1": "Is the image showing an umbrella, could be either with or without a canopy",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An elongated airplane fuselage parked on the tarmac, twin engines hugging its smooth sides under cloudy skies.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane, could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A brass desk lamp arcs elegantly over an open book, its socket empty save for threaded metal.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a desk lamp, could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A sunburst electric guitar body hanging on a studio wall, pickups and bridge gleaming under soft spotlights.",
-        "missing_element": "neck",
-        "question_1": "Is the image showing an electric guitar, could be either with or without a neck",
-        "question_2": "Is the neck missing"
-    },
-    {
-        "prompt": "A streamlined silver fish gliding through crystal water, its sleek profile unbroken by any protrusions.",
-        "missing_element": "fins",
-        "question_1": "Is the image showing a fish, could be either with or without fins",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "A quaint brick cottage sitting in a meadow, wooden rafters exposed beneath a clear blue sky.",
-        "missing_element": "roof",
-        "question_1": "Is the image showing a cottage, could be either with or without a roof",
-        "question_2": "Is the roof missing"
-    },
-    {
-        "prompt": "A vintage convertible displayed at a classic-car show, the dashboard stretching unobstructed toward the shining hood.",
-        "missing_element": "windshield",
-        "question_1": "Is the image showing a car, could be either with or without a windshield",
-        "question_2": "Is the windshield missing"
-    },
-    {
-        "prompt": "A mechanical keyboard lit by soft rainbow LEDs, a noticeable gap divides the bottom row of keys.",
-        "missing_element": "spacebar",
-        "question_1": "Is the image showing a keyboard, could be either with or without a spacebar",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A wide-eyed owl perched on a branch under moonlight, smooth skin visible across its rounded body.",
-        "missing_element": "feathers",
-        "question_1": "Is the image showing an owl, could be either with or without feathers",
-        "question_2": "Are the feathers missing"
-    },
-    {
-        "prompt": "A leather-bound hardcover lies open on a wooden desk, the interior revealing only a hollow rectangular frame.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book, could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "A tall white lighthouse stands on a stormy cliff, its lantern room dark and empty against gathering clouds.",
-        "missing_element": "lamp",
-        "question_1": "Is the image showing a lighthouse, could be either with or without a lamp",
-        "question_2": "Is the lamp missing"
-    },
-    {
-        "prompt": "A plush armchair positioned directly on a patterned rug, its cushioned seat resting unusually low to the floor.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing an armchair, could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A proud buck stands in a forest clearing at dawn, smooth forehead catching the first warm light.",
-        "missing_element": "antlers",
-        "question_1": "Is the image showing a deer, could be either with or without antlers",
-        "question_2": "Are the antlers missing"
-    },
-    {
-        "prompt": "A pale parchment envelope lies addressed on a marble tabletop, its top edge cut straight across.",
-        "missing_element": "flap",
-        "question_1": "Is the image showing an envelope, could be either with or without a flap",
-        "question_2": "Is the flap missing"
-    },
-    {
-        "prompt": "A minimalist wall clock hangs above the mantel, slender hands sweeping across a pristine white face.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wall clock, could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A bulky white space suit floats in a training pool, the collar ring open to the surrounding water.",
-        "missing_element": "helmet",
-        "question_1": "Is the image showing a space suit, could be either with or without a helmet",
-        "question_2": "Is the helmet missing"
-    },
-    {
-        "prompt": "A towering windmill rises in a golden wheat field, only a solitary hub turning lazily in the breeze.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill, could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A tall oak stands in midsummer sunlight, countless bare branches weaving intricate patterns against the sky.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing a tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing"
-    },
-    {
-        "prompt": "A yellow school bus is parked outside the depot, rectangular openings along its side reveal rows of seats.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a bus, could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A sleek silver laptop sits open on a desk, the lid framing an empty bezel through which the wall is visible.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a laptop, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A polished brass trumpet lies on deep red velvet, the leadpipe tapering to an unfinished rim.",
-        "missing_element": "mouthpiece",
-        "question_1": "Is the image showing a trumpet, could be either with or without a mouthpiece",
-        "question_2": "Is the mouthpiece missing"
-    },
-    {
-        "prompt": "A humanoid robot stands upright in a bright laboratory, cables protruding gently from a smooth collar plate.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a robot, could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A tall pillar of ivory wax sits untouched on a silver tray, its top surface perfectly unbroken.",
-        "missing_element": "wick",
-        "question_1": "Is the image showing a candle, could be either with or without a wick",
-        "question_2": "Is the wick missing"
-    },
-    {
-        "prompt": "A freshly baked pizza crust layered with rich tomato sauce and scattered basil rests on a stone board.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing"
-    },
-    {
-        "prompt": "A black DSLR body stands on a wooden shelf, the circular mount exposing delicate inner mechanics to view.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a DSLR camera, could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A grand piano dominates an empty concert hall, a smooth ebony board stretching across the front.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a piano, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A slender wooden paintbrush rests beside a palette, its metal ferrule clasping only empty air.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing"
-    },
-    {
-        "prompt": "A sleek digital watch face sits on a granite countertop, lugs jutting out where something should secure it.",
-        "missing_element": "strap",
-        "question_1": "Is the image showing a watch, could be either with or without a strap",
-        "question_2": "Is the strap missing"
-    },
-    {
-        "prompt": "A young man opens his mouth for a dentist, the inner cavity appearing hollow and still.",
-        "missing_element": "tongue",
-        "question_1": "Is the image showing a mouth, could be either with or without a tongue",
-        "question_2": "Is the tongue missing"
-    },
-    {
-        "prompt": "A matte black motorcycle is parked under neon streetlights, cables stretching forward over the front wheel into empty air.",
-        "missing_element": "handlebars",
-        "question_1": "Is the image showing a motorcycle, could be either with or without handlebars",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A retro wooden television cabinet stands in a living room, the front frame revealing intricate wiring and glowing tubes.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a television, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A shaggy mountain goat balances on a rocky ledge, its forehead smooth under the midday sun.",
-        "missing_element": "horns",
-        "question_1": "Is the image showing a goat, could be either with or without horns",
-        "question_2": "Are the horns missing"
-    },
-    {
-        "prompt": "A bright red sneaker rests on a locker-room bench, eyelets neatly aligned along its padded tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing a sneaker, could be either with or without laces",
-        "question_2": "Are the laces missing"
-    },
-    {
-        "prompt": "A small green frog sits quietly on a lily pad, smooth domes occupying the front of its head.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a frog, could be either with or without eyes",
-        "question_2": "Are the eyes missing"
-    },
-    {
-        "prompt": "A ceramic mug painted with blue floral patterns stands upright on a saucer, its circular shape perfectly continuous.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug, could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A curved golden saxophone rests on a music stand, rows of uncovered tone holes gleaming in the spotlight.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a saxophone, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A wooden skateboard deck balances across two bricks on the pavement, metal trucks pressed directly to the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A felt fedora crown sits on a hat stand, its sides descending straight without any outward extension.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a fedora, could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A futuristic motorcycle helmet rests on a workbench, the front opening exposing cushioned interior padding.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a motorcycle helmet, could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "An ornate wooden bedframe stands against a midnight-blue wall, evenly spaced slats visible across its width.",
-        "missing_element": "mattress",
-        "question_1": "Is the image showing a bedframe, could be either with or without a mattress",
-        "question_2": "Is the mattress missing"
-    },
-    {
-        "prompt": "A tall brick clock tower dominates the town square, a blank circular recess marking the place where time should be displayed.",
-        "missing_element": "clock face",
-        "question_1": "Is the image showing a clock tower, could be either with or without a clock face",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "An antique pocket watch lies open on velvet, its enamel face gleaming beneath ornate Roman numerals, polished gears exposed.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a pocket watch, could be either with or without hands",
-        "question_2": "Are the hands missing from the pocket watch"
-    },
-    {
-        "prompt": "A sleek road bicycle leans against an old stone wall, lightweight frame painted crimson and chrome cranks resting above the asphalt.",
-        "missing_element": "pedals",
-        "question_1": "Is the image showing a bicycle, could be either with or without pedals",
-        "question_2": "Are the pedals missing from the bicycle"
-    },
-    {
-        "prompt": "A painted portrait of a young woman hangs in a quiet gallery, delicate features rendered in soft oils, the upper facial planes left as smooth, empty forms.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a portrait of a woman, could be either with or without eyes",
-        "question_2": "Are the eyes missing from the portrait of the woman"
-    },
-    {
-        "prompt": "A concert grand piano stands under stage lights, lid propped high so the audience can see straight into a cavity that reveals felt-covered dampers but no striking mechanism.",
-        "missing_element": "hammers",
-        "question_1": "Is the image showing a grand piano, could be either with or without hammers",
-        "question_2": "Are the hammers missing from the grand piano"
-    },
-    {
-        "prompt": "An old wooden clipper drifts across a calm sea, towering masts stretching skyward with only rigging ropes swaying in the breeze.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailing ship, could be either with or without sails",
-        "question_2": "Are the sails missing from the sailing ship"
-    },
-    {
-        "prompt": "A mature oak tree rises against a bright summer sky, wide branches spreading like a skeletal silhouette despite the season.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing an oak tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing from the oak tree"
-    },
-    {
-        "prompt": "A snug stone cottage nestles at the forest’s edge, ivy climbing across shuttered windows while a blank wall greets visiting guests.",
-        "missing_element": "door",
-        "question_1": "Is the image showing a cottage, could be either with or without a door",
-        "question_2": "Is the door missing from the cottage"
-    },
-    {
-        "prompt": "A streamlined passenger jet rests on the apron, engines mounted beneath a smooth fuselage that runs directly into a tall tail fin.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a passenger jet, could be either with or without wings",
-        "question_2": "Are the wings missing from the passenger jet"
-    },
-    {
-        "prompt": "A minimalist wristwatch sits on a leather tray, monochrome dial perfectly smooth except for two thin hands orbiting a blank circumference.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without numbers",
-        "question_2": "Are the numbers missing from the wristwatch"
-    },
-    {
-        "prompt": "A freshly baked pizza rests on a wooden board, golden crust encircling a vibrant pool of red sauce topped by scattered basil leaves.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing from the pizza"
-    },
-    {
-        "prompt": "A bustling city intersection stretches beneath midday sun, tall signal heads looming overhead with dark glass panels that never change hue.",
-        "missing_element": "lights",
-        "question_1": "Is the image showing traffic signals, could be either with or without lights",
-        "question_2": "Are the lights missing from the traffic signals"
-    },
-    {
-        "prompt": "A colorful skateboard lies abandoned on smooth concrete, grip-taped deck and polished trucks casting neat shadows on the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing from the skateboard"
-    },
-    {
-        "prompt": "A chessboard is arranged atop a velvet tablecloth, thirty-two squares waiting while one side’s carved army stands alone in battle formation.",
-        "missing_element": "black pieces",
-        "question_1": "Is the image showing a chessboard, could be either with or without black pieces",
-        "question_2": "Are the black pieces missing from the chessboard"
-    },
-    {
-        "prompt": "A cherry-red sports car gleams under showroom lamps, sculpted alloys rotating freely behind open spokes that reveal only empty air.",
-        "missing_element": "brakes",
-        "question_1": "Is the image showing a sports car, could be either with or without brakes",
-        "question_2": "Are the brakes missing from the sports car"
-    },
-    {
-        "prompt": "An open hardcover book rests on a wooden desk, cream-colored pages stretching wide with nothing printed between the margins.",
-        "missing_element": "text",
-        "question_1": "Is the image showing a book, could be either with or without text",
-        "question_2": "Is the text missing from the book"
-    },
-    {
-        "prompt": "A modern desktop tower with tempered-glass side panel displays RGB-lit components, yet no spinning blades disturb the still interior.",
-        "missing_element": "fans",
-        "question_1": "Is the image showing a computer tower, could be either with or without fans",
-        "question_2": "Are the fans missing from the computer tower"
-    },
-    {
-        "prompt": "A straw-stuffed scarecrow stands in the middle of a golden field, flannel shirt hanging limp beside a torso supported by a single post.",
-        "missing_element": "arms",
-        "question_1": "Is the image showing a scarecrow, could be either with or without arms",
-        "question_2": "Are the arms missing from the scarecrow"
-    },
-    {
-        "prompt": "An oil painting depicts a medieval knight in shining armor, bold gaze steady while an empty leather baldric crosses his hip.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight, could be either with or without a sword",
-        "question_2": "Is the sword missing from the knight"
-    },
-    {
-        "prompt": "A delicate porcelain teapot sits on a bamboo tray, floral motifs curling around a rotund body that preserves a graceful spout but offers no side grip.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a teapot, could be either with or without a handle",
-        "question_2": "Is the handle missing from the teapot"
-    },
-    {
-        "prompt": "An outdoor basketball rim is mounted to a clear backboard, orange ring stark against blue sky with nothing suspended beneath it.",
-        "missing_element": "net",
-        "question_1": "Is the image showing a basketball hoop, could be either with or without a net",
-        "question_2": "Is the net missing from the basketball hoop"
-    },
-    {
-        "prompt": "A formal dining table is fully laid with silverware, porcelain plates and folded linen napkins, yet above each plate only empty space awaits a drink.",
-        "missing_element": "glasses",
-        "question_1": "Is the image showing a dining table, could be either with or without glasses",
-        "question_2": "Are the glasses missing from the dining table"
-    },
-    {
-        "prompt": "A vintage typewriter occupies an author’s desk, metal arms poised above pristine paper while twin spools sit idle and uncovered.",
-        "missing_element": "ribbon",
-        "question_1": "Is the image showing a typewriter, could be either with or without a ribbon",
-        "question_2": "Is the ribbon missing from the typewriter"
-    },
-    {
-        "prompt": "A thick winter parka hangs from a coat rack, quilted panels puffed with down, the front opening held shut only by overlapping fabric.",
-        "missing_element": "zipper",
-        "question_1": "Is the image showing a winter jacket, could be either with or without a zipper",
-        "question_2": "Is the zipper missing from the winter jacket"
-    },
-    {
-        "prompt": "A towering sunflower turns toward daylight, golden petals radiant around a smooth green disk unmarred by patterned specks.",
-        "missing_element": "seeds",
-        "question_1": "Is the image showing a sunflower, could be either with or without seeds",
-        "question_2": "Are the seeds missing from the sunflower"
-    },
-    {
-        "prompt": "A large elephant strides across the savanna, wrinkled hide dusted with red earth, its face ending abruptly below wide flapping ears.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant, could be either with or without a trunk",
-        "question_2": "Is the trunk missing from the elephant"
-    },
-    {
-        "prompt": "A painted wooden rowboat drifts on a calm lake, bench seats freshly varnished while the gunwales hold empty brass oarlocks.",
-        "missing_element": "oars",
-        "question_1": "Is the image showing a rowboat, could be either with or without oars",
-        "question_2": "Are the oars missing from the rowboat"
-    },
-    {
-        "prompt": "A snowman stands proudly in a suburban yard, three gleaming spheres stacked neatly, scarf and hat in place yet nothing dots the torso.",
-        "missing_element": "buttons",
-        "question_1": "Is the image showing a snowman, could be either with or without buttons",
-        "question_2": "Are the buttons missing from the snowman"
-    },
-    {
-        "prompt": "A lacquered fountain pen rests atop a journal, transparent reservoir completely clear above a gleaming gold nib.",
-        "missing_element": "ink",
-        "question_1": "Is the image showing a fountain pen, could be either with or without ink",
-        "question_2": "Is the ink missing from the fountain pen"
-    },
-    {
-        "prompt": "A wooden paintbrush handle with a shiny ferrule lies beside a palette, its tip ending in a hollow metal cylinder.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing from the paintbrush"
-    },
-    {
-        "prompt": "A pair of oval eyeglass frames sits on folded newsprint, front rims intact while nothing extends toward where ears would rest.",
-        "missing_element": "temples",
-        "question_1": "Is the image showing eyeglasses, could be either with or without temples",
-        "question_2": "Are the temples missing from the eyeglasses"
-    },
-    {
-        "prompt": "A city commuter holds an umbrella open in the rain, black canopy stretched over a central shaft without any visible spokes beneath.",
-        "missing_element": "ribs",
-        "question_1": "Is the image showing an umbrella, could be either with or without ribs",
-        "question_2": "Are the ribs missing from the umbrella"
-    },
-    {
-        "prompt": "A skeletonized wristwatch is showcased under a glass dome, gears whirring beside a sweeping second hand while the outer ring remains entirely blank.",
-        "missing_element": "hour markers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without hour markers",
-        "question_2": "Are the hour markers missing from the wristwatch"
-    },
-    {
-        "prompt": "A nylon tent lies fully spread across a grassy clearing, rainfly attached and guy lines staked, yet the fabric sags flat on the ground.",
-        "missing_element": "poles",
-        "question_1": "Is the image showing a camping tent, could be either with or without poles",
-        "question_2": "Are the poles missing from the camping tent"
-    },
-    {
-        "prompt": "A wooden cuckoo clock hangs on a chalet wall, carved deer and leaves surrounding an ornate dial, but beneath the case no pine-cone ornaments dangle.",
-        "missing_element": "weights",
-        "question_1": "Is the image showing a cuckoo clock, could be either with or without weights",
-        "question_2": "Are the weights missing from the cuckoo clock"
-    },
-    {
-        "prompt": "A modern smartphone rests face-up on a table, edge-to-edge glass reflecting ceiling lights, its top bezel perfectly smooth without any tiny perforations.",
-        "missing_element": "speaker grille",
-        "question_1": "Is the image showing a smartphone, could be either with or without a speaker grille",
-        "question_2": "Is the speaker grille missing from the smartphone"
-    },
-    {
-        "prompt": "A café-style motorcycle waits beside a dusty road, chrome handlebars wide, while the round instrument cluster displays only a blank lens.",
-        "missing_element": "speedometer",
-        "question_1": "Is the image showing a motorcycle, could be either with or without a speedometer",
-        "question_2": "Is the speedometer missing from the motorcycle"
-    },
-    {
-        "prompt": "A slender violin bow lies on crimson velvet, ebony frog adjusted with a silver screw, yet the wooden stick spans unbroken from tip to grip.",
-        "missing_element": "hair",
-        "question_1": "Is the image showing a violin bow, could be either with or without hair",
-        "question_2": "Is the hair missing from the violin bow"
-    },
-    {
-        "prompt": "A gilded birdcage swings gently from a porch hook, domed roof catching afternoon sun, though the interior offers no horizontal bar for resting.",
-        "missing_element": "perch",
-        "question_1": "Is the image showing a birdcage, could be either with or without a perch",
-        "question_2": "Is the perch missing from the birdcage"
-    },
-    {
-        "prompt": "A marble statue of a robed goddess stands among museum columns, shoulders gracefully sloping upward to an abruptly smooth surface.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a statue, could be either with or without a head",
-        "question_2": "Is the head missing from the statue"
-    },
-    {
-        "prompt": "A plush teddy bear sits on a child’s bed, round eyes glinting above a stitched smile while its muzzle remains flat and unadorned.",
-        "missing_element": "nose",
-        "question_1": "Is the image showing a teddy bear, could be either with or without a nose",
-        "question_2": "Is the nose missing from the teddy bear"
-    },
-    {
-        "prompt": "A pair of canvas sneakers stands upright on a doorway mat, metal eyelets neatly aligned along an empty tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing sneakers, could be either with or without laces",
-        "question_2": "Are the laces missing from the sneakers"
-    },
-    {
-        "prompt": "An open refrigerator hums quietly in a small kitchen, interior shelves glassy and clean, yet the door interior shows only blank white plastic.",
-        "missing_element": "door shelves",
-        "question_1": "Is the image showing a refrigerator, could be either with or without door shelves",
-        "question_2": "Are the door shelves missing from the refrigerator"
-    },
-    {
-        "prompt": "Friends sit around a circular stone ring in the dark, glowing embers faintly illuminate their faces while no tongues of light dance upward.",
-        "missing_element": "flames",
-        "question_1": "Is the image showing a campfire, could be either with or without flames",
-        "question_2": "Are the flames missing from the campfire"
-    },
-    {
-        "prompt": "A stainless drinking fountain stands beside a park path, polished button visible, but the curved nozzle yields only silence.",
-        "missing_element": "water",
-        "question_1": "Is the image showing a drinking fountain, could be either with or without water",
-        "question_2": "Is the water missing from the drinking fountain"
-    },
-    {
-        "prompt": "A vintage revolver lies on a green felt display pad, barrel polished and cylinder open, yet beneath the trigger there is nothing to encircle a finger.",
-        "missing_element": "trigger guard",
-        "question_1": "Is the image showing a revolver, could be either with or without a trigger guard",
-        "question_2": "Is the trigger guard missing from the revolver"
-    },
-    {
-        "prompt": "An elaborately drawn compass rose decorates an ancient map, lavish scrollwork filling the cardinal directions but no pointed indicator marks the prime heading.",
-        "missing_element": "north arrow",
-        "question_1": "Is the image showing a compass rose, could be either with or without a north arrow",
-        "question_2": "Is the north arrow missing from the compass rose"
-    },
-    {
-        "prompt": "Futuristic skyscrapers rise under neon twilight, reflective facades forming uninterrupted planes of glowing metal and glass.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing skyscrapers, could be either with or without windows",
-        "question_2": "Are the windows missing from the skyscrapers"
-    },
-    {
-        "prompt": "An orchestra conductor stands on a podium, tuxedo crisp and arms moving fluidly while his raised hand remains empty.",
-        "missing_element": "baton",
-        "question_1": "Is the image showing a conductor, could be either with or without a baton",
-        "question_2": "Is the baton missing from the conductor"
-    },
-    {
-        "prompt": "A soccer field lies freshly mowed, two white uprights planted firmly at the end line, leaving an open rectangle above.",
-        "missing_element": "crossbar",
-        "question_1": "Is the image showing a soccer goal, could be either with or without a crossbar",
-        "question_2": "Is the crossbar missing from the soccer goal"
-    },
-    {
-        "prompt": "A laboratory microscope sits on a steel workbench, coarse and fine focus knobs present, yet the tubular body ends without any glass elements inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing a microscope, could be either with or without lenses",
-        "question_2": "Are the lenses missing from the microscope"
-    },
-
-    {
-        "prompt": "A sun-faded acoustic guitar leans against a rustic brick wall, its polished wooden body catching soft afternoon light while slender tuning pegs glint quietly.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a guitar , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A weathered bicycle stands upright beside a canal, chrome handlebars reflecting the sky and empty forks hovering just above cobblestones.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a bicycle , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A barn owl perches on an old fence post under moonlight, heart-shaped face smooth and featureless save for delicate feathers.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing an owl , could be either with or without eyes",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A sleek silver sedan sits parked under a streetlamp, glossy panels reflecting neon signs yet the side frames reveal wide, open gaps.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a car , could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A towering stone keep rises above a misty valley, its walls unbroken and austere beneath streaks of lichen.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a castle , could be either with or without windows",
-        "question_2": "Are the windows absent"
-    },
-    {
-        "prompt": "An antique brass pocket watch rests open on a velvet cushion, the ornate hands circling an entirely blank ring.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a pocket watch , could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A colossal amusement wheel stands against a fiery sunset, its skeletal steel rim arching over a silent fairground.",
-        "missing_element": "cabins",
-        "question_1": "Is the image showing a Ferris wheel , could be either with or without cabins",
-        "question_2": "Are the cabins missing"
-    },
-    {
-        "prompt": "A ginger cat naps on a windowsill, its fur puddled around a small, rounded hindquarters.",
-        "missing_element": "tail",
-        "question_1": "Is the image showing a cat , could be either with or without a tail",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A massive African elephant stares calmly across the savanna, large ears fanning out over ivory tusks.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant , could be either with or without a trunk",
-        "question_2": "Is the trunk missing"
-    },
-    {
-        "prompt": "A solitary oak trunk rises from a mist-covered meadow, bark gnarled and roots sprawling into damp earth.",
-        "missing_element": "branches",
-        "question_1": "Is the image showing a tree , could be either with or without branches",
-        "question_2": "Are the branches absent"
-    },
-    {
-        "prompt": "A simple wooden chair stands in an empty gallery, its flat seat and upright backrest connected directly to the floor by a single low block.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a chair , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A tall sailing ship rests in calm harbor waters, dark masts piercing the sky but the rigging hangs slack against naked beams.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a ship , could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A painter's oval palette lies atop a studio table, smeared thumb hole and dried bristles surrounding a pristine, untouched surface.",
-        "missing_element": "paint",
-        "question_1": "Is the image showing a painter's palette , could be either with or without paint",
-        "question_2": "Is the paint absent"
-    },
-    {
-        "prompt": "An old black typewriter sits on a mahogany desk, its metal arms raised above empty square holes where fingers would normally dance.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a typewriter , could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A porcelain coffee mug releases gentle steam on a kitchen counter, its cylindrical body smooth and symmetrical but entirely unadorned on one side.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug , could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "An ornate katana rests upon a lacquered stand, its lacquered scabbard parted to reveal only the hilt extending into empty space.",
-        "missing_element": "blade",
-        "question_1": "Is the image showing a katana , could be either with or without a blade",
-        "question_2": "Is the blade missing"
-    },
-    {
-        "prompt": "A modern smartphone lies on a marble tabletop, slim metallic frame enclosing an unbroken dark void.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a smartphone , could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A commercial jet is parked on the tarmac at dawn, cylindrical fuselage gleaming under floodlights as engines sit exposed beside stubby supports.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A weather-beaten cowboy hat hangs from a wall peg, tall crown stretching upward with an unusually vertical silhouette.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a cowboy hat , could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A plump green tree frog rests on a lily pad, smooth body pressed flat like a leaf against the water surface.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a frog , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A ceramic teapot sits atop a wooden tray, its round belly painted with blue florals and the lid slightly ajar.",
-        "missing_element": "spout",
-        "question_1": "Is the image showing a teapot , could be either with or without a spout",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet yard at twilight, two round layers stacked neatly, scarf fluttering in a gentle breeze.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a snowman , could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A silver laptop sits open on a conference table, glowing indicator lights framing a broad, vacant interior cavity.",
-        "missing_element": "keyboard",
-        "question_1": "Is the image showing a laptop , could be either with or without a keyboard",
-        "question_2": "Is the keyboard missing"
-    },
-    {
-        "prompt": "A pair of slender wire-rim glasses rests on a paperback novel, the arced frame shining under a reading lamp while circular openings remain completely clear.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing glasses , could be either with or without lenses",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A railroad stretches across golden prairie grass, evenly spaced wooden ties receding toward the horizon without any gleaming metal above.",
-        "missing_element": "rails",
-        "question_1": "Is the image showing railroad tracks , could be either with or without rails",
-        "question_2": "Are the rails missing"
-    },
-    {
-        "prompt": "A vintage streetlamp stands at the corner of a cobblestone alley, glass panes encircling a dark hollow space.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a streetlamp , could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A children's swing hangs from an old oak branch, two sturdy ropes swaying gently in the breeze over a patch of grass.",
-        "missing_element": "seat",
-        "question_1": "Is the image showing a swing , could be either with or without a seat",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A glossy black grand piano dominates a dim parlor, its lid propped open to reveal a smooth wooden cavity.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a piano , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A sturdy umbrella leans in a foyer corner, slender metal ribs fanning outward yet nothing spans between them.",
-        "missing_element": "fabric",
-        "question_1": "Is the image showing an umbrella , could be either with or without fabric",
-        "question_2": "Is the fabric missing"
-    },
-    {
-        "prompt": "A high-top sneaker rests on a locker-room bench, white leather panels forming a hollow shell that casts a faint shadow on the wooden slats.",
-        "missing_element": "sole",
-        "question_1": "Is the image showing a sneaker , could be either with or without a sole",
-        "question_2": "Is the sole missing"
-    },
-    {
-        "prompt": "A glossy red fire hydrant stands on a sidewalk, round body capped with nuts yet featuring only a smooth facade on every side.",
-        "missing_element": "outlets",
-        "question_1": "Is the image showing a fire hydrant , could be either with or without outlets",
-        "question_2": "Are the outlets missing"
-    },
-    {
-        "prompt": "A ripe banana sits on a cutting board, gentle curves glowing yellow without a telltale frilled topping.",
-        "missing_element": "stem",
-        "question_1": "Is the image showing a banana , could be either with or without a stem",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A wall clock hangs above a classroom door, a silent disc whose reflective surface catches fluorescent lights but marks no moments.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wall clock , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A majestic peacock struts across the palace courtyard, vibrant blues covering a slender body that ends abruptly behind.",
-        "missing_element": "tail feathers",
-        "question_1": "Is the image showing a peacock , could be either with or without tail feathers",
-        "question_2": "Are the tail feathers missing"
-    },
-    {
-        "prompt": "A shopping cart waits in an empty parking lot, metal basket intact atop a rigid axle pressed flat against asphalt.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a shopping cart , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A classic sailing compass sits atop a nautical map, polished brass ring circling a plain mirrored circle.",
-        "missing_element": "needle",
-        "question_1": "Is the image showing a compass , could be either with or without a needle",
-        "question_2": "Is the needle missing"
-    },
-    {
-        "prompt": "A glossy violin rests on a velvet cloth, graceful curves gleaming beneath studio lights while the ebony fingerboard stretches over a hollow arch.",
-        "missing_element": "bridge",
-        "question_1": "Is the image showing a violin , could be either with or without a bridge",
-        "question_2": "Is the bridge missing"
-    },
-    {
-        "prompt": "A sleek motorcycle is displayed on a showroom pedestal, chrome handlebars gleaming above a suspended frame.",
-        "missing_element": "engine",
-        "question_1": "Is the image showing a motorcycle , could be either with or without an engine",
-        "question_2": "Is the engine missing"
-    },
-    {
-        "prompt": "A minimalist wristwatch lies on a marble vanity, thin leather strap wrapped around a circular case whose interior is pure white.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wristwatch , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A passenger bus is parked at a coastal terminal, its length painted turquoise and silver, side panels stretching seamlessly from front to back.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a bus , could be either with or without windows",
-        "question_2": "Are the windows missing"
-    },
-    {
-        "prompt": "A pink flamingo stands among reeds in shallow water, slender neck curved gracefully but the silhouette seems oddly compact behind.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a flamingo , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A library shelf features an antique volume with a gilded spine, heavy cover creaking open to reveal a vacant hollow.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book , could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An armored knight statue stands in a museum alcove, gleaming breastplate reflecting spotlights while the gauntlets clasp nothing.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight statue , could be either with or without a sword",
-        "question_2": "Is the sword missing"
-    },
-    {
-        "prompt": "A sparkling diamond ring rests atop a burgundy velvet cushion, golden band curving smoothly around an empty prong setting.",
-        "missing_element": "gemstone",
-        "question_1": "Is the image showing a ring , could be either with or without a gemstone",
-        "question_2": "Is the gemstone missing"
-    },
-    {
-        "prompt": "A modern windmill rises over sunflower fields, tall white tower supporting a still, empty hub against the blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill , could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A sleek black skateboard rests on a concrete ramp, smooth underside reflecting sunlight as metal axles stand alone.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A small tortoise crawls across a sandy dune, wrinkled skin folding over a rounded back that shows only soft texture.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a tortoise , could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A camera sits on a tripod overlooking city lights, metallic body facing forward yet revealing a hollow circle where one would normally see glass.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a camera , could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A spacious greenhouse stands at the edge of a botanical garden, metal arches forming a broad vault that encloses only dusty air.",
-        "missing_element": "glass panels",
-        "question_1": "Is the image showing a greenhouse , could be either with or without glass panels",
-        "question_2": "Are the glass panels missing"
-    },
-    {
-        "prompt": "A firefighter's helmet rests on a polished bench, bright red dome shining under overhead lights without its typical curved protector at the front.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a firefighter's helmet , could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A vintage bicycle leans against a brick wall, its crimson frame chipped and speckled with rust under soft afternoon light.",
-        "missing_element": "wheels",
-        "question_1": "Is there a bicycle , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "An antique wristwatch rests on a velvet cushion, golden casing finely engraved and gleaming beneath museum spotlights.",
-        "missing_element": "hands",
-        "question_1": "Is there a wristwatch , could be either with or without hands in the image",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A porcelain teapot sits upon a lace tablecloth, cobalt floral motifs swirling across its rounded body.",
-        "missing_element": "spout",
-        "question_1": "Is there a teapot , could be either with or without a spout in the image",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "Round-framed eyeglasses lie open on a memoir’s pages, slender metal rims catching a beam of sunlight.",
-        "missing_element": "lenses",
-        "question_1": "Are there eyeglasses , could be either with or without lenses in the image",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A weathered sailboat drifts beside a quiet dock, its wooden hull creaking gently against worn pilings.",
-        "missing_element": "mast",
-        "question_1": "Is there a sailboat , could be either with or without a mast in the image",
-        "question_2": "Is the mast missing"
-    },
-    {
-        "prompt": "A colorful classroom globe rests on a wooden desk, continents vividly painted against deep turquoise seas.",
-        "missing_element": "stand",
-        "question_1": "Is there a globe , could be either with or without a stand in the image",
-        "question_2": "Is the stand absent"
-    },
-    {
-        "prompt": "A collapsed umbrella lies beside a doorway, raindrops glistening on its exposed metal ribs.",
-        "missing_element": "canopy",
-        "question_1": "Is there an umbrella , could be either with or without a canopy in the image",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An acoustic guitar leans against a barstool under warm stage lights, its honey-coloured body polished to a mirror sheen.",
-        "missing_element": "strings",
-        "question_1": "Is there a guitar , could be either with or without strings in the image",
-        "question_2": "Are the strings missing"
-    },
-    {
-        "prompt": "A tall lighthouse towers above a misty headland, red and white stripes bold against the gray sky.",
-        "missing_element": "door",
-        "question_1": "Is there a lighthouse , could be either with or without a door in the image",
-        "question_2": "Is the door absent"
-    },
-    {
-        "prompt": "A retired jet airplane sits in a museum hangar, polished aluminum skin reflecting overhead lamps.",
-        "missing_element": "wings",
-        "question_1": "Is there an airplane , could be either with or without wings in the image",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A medieval stone fortress stands overlooking a winding river, colorful banners fluttering from its rugged towers.",
-        "missing_element": "drawbridge",
-        "question_1": "Is there a fortress , could be either with or without a drawbridge in the image",
-        "question_2": "Is the drawbridge missing"
-    },
-    {
-        "prompt": "A classic sedan is parked beneath a lone streetlamp on a still night, chrome trim gleaming softly.",
-        "missing_element": "headlights",
-        "question_1": "Is there a sedan , could be either with or without headlights in the image",
-        "question_2": "Are the headlights missing"
-    },
-    {
-        "prompt": "A majestic oak rises from a sunny meadow, gnarled branches spreading wide against clear blue sky.",
-        "missing_element": "leaves",
-        "question_1": "Is there an oak tree , could be either with or without leaves in the image",
-        "question_2": "Are the leaves absent"
-    },
-    {
-        "prompt": "A green frog sits serenely on a lily pad amid gentle pond ripples.",
-        "missing_element": "legs",
-        "question_1": "Is there a frog , could be either with or without legs in the image",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A wooden rocking chair rests on a weather-beaten porch, faded paint revealing layers of aging varnish.",
-        "missing_element": "seat",
-        "question_1": "Is there a rocking chair , could be either with or without a seat in the image",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A vintage film camera is displayed on a glass shelf, its leather body pristine and meticulously polished.",
-        "missing_element": "lens",
-        "question_1": "Is there a film camera , could be either with or without a lens in the image",
-        "question_2": "Is the lens absent"
-    },
-    {
-        "prompt": "A hardcover novel stands upright on a coffee table, its title embossed in ornate gold lettering.",
-        "missing_element": "pages",
-        "question_1": "Is there a book , could be either with or without pages in the image",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An elegant hourglass rests on a mahogany desk, brass frame catching the glow of a desk lamp.",
-        "missing_element": "sand",
-        "question_1": "Is there an hourglass , could be either with or without sand in the image",
-        "question_2": "Is the sand missing"
-    },
-    {
-        "prompt": "A small sparrow is perched on a wooden fence post under a brooding sky.",
-        "missing_element": "wings",
-        "question_1": "Is there a sparrow , could be either with or without wings in the image",
-        "question_2": "Are the wings absent"
-    },
-    {
-        "prompt": "A tall brick clock tower rises above a bustling town square, its silhouette glowing in sunset light.",
-        "missing_element": "clock face",
-        "question_1": "Is there a clock tower , could be either with or without a clock face in the image",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "A black ski mask is folded neatly on a wooden bench beside a locker.",
-        "missing_element": "eye holes",
-        "question_1": "Is there a ski mask , could be either with or without eye holes in the image",
-        "question_2": "Are the eye holes missing"
-    },
-    {
-        "prompt": "A cast-iron frying pan rests on a stovetop, its dark seasoned surface slightly glossy.",
-        "missing_element": "handle",
-        "question_1": "Is there a frying pan , could be either with or without a handle in the image",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A bright red scooter stands on a cobblestone lane, its glossy body reflecting ambient city lights.",
-        "missing_element": "handlebars",
-        "question_1": "Is there a scooter , could be either with or without handlebars in the image",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A snail glides slowly along a dew-covered garden leaf under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is there a snail , could be either with or without a shell in the image",
-        "question_2": "Is the shell absent"
-    },
-    {
-        "prompt": "A rugged hiking backpack leans against a pine tree at the trail’s edge, fabric dusted with chalky dirt.",
-        "missing_element": "straps",
-        "question_1": "Is there a backpack , could be either with or without straps in the image",
-        "question_2": "Are the straps missing"
-    },
-    {
-        "prompt": "A roadside mailbox sits atop a weathered wooden post, its paint slightly chipped.",
-        "missing_element": "flag",
-        "question_1": "Is there a mailbox , could be either with or without a flag in the image",
-        "question_2": "Is the flag absent"
-    },
-    {
-        "prompt": "A retro television set stands on tapered legs in a mid-century living room, wood veneer polished to a warm glow.",
-        "missing_element": "screen",
-        "question_1": "Is there a television , could be either with or without a screen in the image",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A brass desk lamp sits beside a stack of papers, its curved shade reflecting amber light.",
-        "missing_element": "bulb",
-        "question_1": "Is there a lamp , could be either with or without a bulb in the image",
-        "question_2": "Is the bulb absent"
-    },
-    {
-        "prompt": "A motorcycle helmet lies on a workbench, its glossy surface speckled with sawdust.",
-        "missing_element": "visor",
-        "question_1": "Is there a helmet , could be either with or without a visor in the image",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A grand piano dominates a silent concert hall stage, black lacquer gleaming under spotlights.",
-        "missing_element": "keys",
-        "question_1": "Is there a piano , could be either with or without keys in the image",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "An old stone windmill stands amid golden wheat fields under an expansive blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is there a windmill , could be either with or without blades in the image",
-        "question_2": "Are the blades absent"
-    },
-    {
-        "prompt": "A large observatory telescope is mounted on a sturdy tripod inside a domed chamber.",
-        "missing_element": "eyepiece",
-        "question_1": "Is there a telescope , could be either with or without an eyepiece in the image",
-        "question_2": "Is the eyepiece missing"
-    },
-    {
-        "prompt": "A baby stroller is parked beside a park bench, fabric hood casting a gentle shade.",
-        "missing_element": "wheels",
-        "question_1": "Is there a stroller , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A ginger cat curls up on a sunlit windowsill, purring softly in the warm glow.",
-        "missing_element": "tail",
-        "question_1": "Is there a cat , could be either with or without a tail in the image",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A smoking pipe rests atop a leather-bound journal, polished wood glowing softly.",
-        "missing_element": "stem",
-        "question_1": "Is there a pipe , could be either with or without a stem in the image",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A fountain pen lies diagonally across parchment, its marbled barrel shimmering under lamplight.",
-        "missing_element": "nib",
-        "question_1": "Is there a fountain pen , could be either with or without a nib in the image",
-        "question_2": "Is the nib absent"
-    },
-    {
-        "prompt": "An ornate picture frame hangs on a gallery wall, intricate gilded borders catching overhead lighting.",
-        "missing_element": "glass",
-        "question_1": "Is there a picture frame , could be either with or without glass in the image",
-        "question_2": "Is the glass missing"
-    },
-    {
-        "prompt": "A skateboard rests on a graffiti-sprayed ramp, deck graphics vibrant and scuffed at the edges.",
-        "missing_element": "wheels",
-        "question_1": "Is there a skateboard , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A platinum engagement ring sits in a velvet box under a small spotlight.",
-        "missing_element": "gemstone",
-        "question_1": "Is there a ring , could be either with or without a gemstone in the image",
-        "question_2": "Is the gemstone absent"
-    },
-    {
-        "prompt": "A white rocket stands upright on a launch pad against a pale dawn sky, service towers flanking it.",
-        "missing_element": "fins",
-        "question_1": "Is there a rocket , could be either with or without fins in the image",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "Over-ear headphones are draped across a mixing console, their matte black shells shining softly.",
-        "missing_element": "ear pads",
-        "question_1": "Are there headphones , could be either with or without ear pads in the image",
-        "question_2": "Are the ear pads missing"
-    },
-    {
-        "prompt": "A cotton T-shirt is neatly folded on a wooden shelf, its vibrant graphic centered on the chest.",
-        "missing_element": "sleeves",
-        "question_1": "Is there a T-shirt , could be either with or without sleeves in the image",
-        "question_2": "Are the sleeves missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet front yard, two coal eyes and a jaunty hat giving it character.",
-        "missing_element": "nose",
-        "question_1": "Is there a snowman , could be either with or without a nose in the image",
-        "question_2": "Is the nose missing"
-    },
-    {
-        "prompt": "A worn canvas sneaker lies abandoned on a beach boardwalk, sand sprinkled across its fabric.",
-        "missing_element": "laces",
-        "question_1": "Is there a sneaker , could be either with or without laces in the image",
-        "question_2": "Are the laces absent"
-    },
-    {
-        "prompt": "A rustic lantern hangs from a cabin beam, metal frame dark with age.",
-        "missing_element": "glass panes",
-        "question_1": "Is there a lantern , could be either with or without glass panes in the image",
-        "question_2": "Are the glass panes missing"
-    },
-    {
-        "prompt": "A mechanical keyboard rests on a neon-lit desk, keycaps glowing with colorful backlight.",
-        "missing_element": "spacebar",
-        "question_1": "Is there a keyboard , could be either with or without a spacebar in the image",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A plush teddy bear is propped against a pillow in a child’s room, its fur softly illuminated by night-light glow.",
-        "missing_element": "eyes",
-        "question_1": "Is there a teddy bear , could be either with or without eyes in the image",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A basketball hoop hangs above a driveway, backboard edges chipped from years of play.",
-        "missing_element": "net",
-        "question_1": "Is there a basketball hoop , could be either with or without a net in the image",
-        "question_2": "Is the net missing"
-    },
-    {
-        "prompt": "A crystal wine glass stands atop a linen napkin beside polished silverware.",
-        "missing_element": "stem",
-        "question_1": "Is there a wine glass , could be either with or without a stem in the image",
-        "question_2": "Is the stem absent"
-    },
-    {
-        "prompt": "A decorative pocket mirror lies on a marble vanity, ornate silver backing engraved with curling vines.",
-        "missing_element": "reflective surface",
-        "question_1": "Is there a pocket mirror , could be either with or without a reflective surface in the image",
-        "question_2": "Is the reflective surface missing"
-    }
-]

VSF/prompts/prompts_gen.py

@@ -1,29 +0,0 @@
-from openai import OpenAI
-from pydantic import BaseModel
-import dotenv
-import tqdm
-
-client = OpenAI()
-
-class Prompt(BaseModel):
-    prompt: str
-    missing_element: str
-    question_1: str
-    question_2: str
-
-
-class Prompts(BaseModel):
-    prompts: list[Prompt]
-    
-with open("test_prompt.jsonl", "w") as f:
-    for _ in range(2): 
-        response = client.responses.parse(
-            model="o3",
-            input="Write a detailed but not long prompt for generating an image of any object, creature, or scene that is missing a typically expected component or feature. The result should remain visually and physically coherent. It must not create a contradiction or impossibility. For example, acceptable prompts might be: 'a violin without strings', 'a spider with no legs', or 'a staircase with no steps'. (do not repeat these) Do not include self-contradictory cases like 'a crowded dining hall without people' or 'a lit candle with no flame'. The prompt do not need to be physically plausible (i.e. you can have a melted iron without glow). The response should be a descriptive text not a imperative sentences. Put the description and the missing element in the two part of the JSON response. The first value should be the description of the object, creature, or scene, and the second value (just a few words) should be the missing element (e.g. 'cars', 'strings'). The missing element should NOT be mentioned in the first sentence, and put the missing item in 'missing_item' only, do not mention it in prompt. Do NOT repeat the given examples. Each time generate 50 prompts. Additionally, you should give 1, asking if the image fit your description and missing element, for example, if your prompt is 'a violin xyz' and missing element is 'string', the question should be something like 'Is the image showing a violin without strings?', make sure to use the same word for description and question if the object has multiple names, (e.g. football vs soccer ball). Frame the question in a two part question, first part asking if there is the described object in it (frame it like x with or without y, where x is the main element and y is the missing ite,), second part is if the element is missing. Put the first part in question_1 and the second part in question_2. The missing item should be something that is easy to confiem from the generated image. ",
-            text_format=Prompts,
-            reasoning={"effort": "high"}
-        )
-        
-        f.write(response.output_text + "\n")
-        f.flush()
-        

VSF/prompts/test_prompt.json

@@ -1,1203 +0,0 @@
-[
-    {
-        "prompt": "A sleek white sailboat drifting on calm azure waters, its tall mast rising plainly into the sky.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailboat, could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A vintage red bicycle leaning against a brick wall, its pedals leading back to a solitary rear gear.",
-        "missing_element": "chain",
-        "question_1": "Is the image showing a bicycle, could be either with or without a chain",
-        "question_2": "Is the chain missing"
-    },
-    {
-        "prompt": "A short-haired gray cat sitting alert on a windowsill, its cheeks unusually smooth beneath attentive eyes.",
-        "missing_element": "whiskers",
-        "question_1": "Is the image showing a cat, could be either with or without whiskers",
-        "question_2": "Are the whiskers missing"
-    },
-    {
-        "prompt": "An ancient stone castle atop a grassy hill, the entrance arch yawning openly into the sunlit courtyard.",
-        "missing_element": "gates",
-        "question_1": "Is the image showing a castle, could be either with or without gates",
-        "question_2": "Are the gates missing"
-    },
-    {
-        "prompt": "A brightly colored hot-air balloon inflated at dawn, long tethers dangling toward the misty field below.",
-        "missing_element": "basket",
-        "question_1": "Is the image showing a hot-air balloon, could be either with or without a basket",
-        "question_2": "Is the basket missing"
-    },
-    {
-        "prompt": "A soft-skinned turtle crawling along a sandy shoreline, its limbs and head fully exposed under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a turtle, could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A sleek silver train resting at the station platform, its undercarriage hovering just above the rails.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a train, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A pair of modern black-framed eyeglasses placed on a glossy table, the frames entirely empty inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing eyeglasses, could be either with or without lenses",
-        "question_2": "Are the lenses missing"
-    },
-    {
-        "prompt": "An elegant fountain pen lies uncapped on parchment, its polished grip narrowing to a hollow opening.",
-        "missing_element": "nib",
-        "question_1": "Is the image showing a fountain pen, could be either with or without a nib",
-        "question_2": "Is the nib missing"
-    },
-    {
-        "prompt": "A collapsed metal umbrella frame resting against a café chair, slender ribs splayed like spokes.",
-        "missing_element": "canopy",
-        "question_1": "Is the image showing an umbrella, could be either with or without a canopy",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An elongated airplane fuselage parked on the tarmac, twin engines hugging its smooth sides under cloudy skies.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane, could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A brass desk lamp arcs elegantly over an open book, its socket empty save for threaded metal.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a desk lamp, could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A sunburst electric guitar body hanging on a studio wall, pickups and bridge gleaming under soft spotlights.",
-        "missing_element": "neck",
-        "question_1": "Is the image showing an electric guitar, could be either with or without a neck",
-        "question_2": "Is the neck missing"
-    },
-    {
-        "prompt": "A streamlined silver fish gliding through crystal water, its sleek profile unbroken by any protrusions.",
-        "missing_element": "fins",
-        "question_1": "Is the image showing a fish, could be either with or without fins",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "A quaint brick cottage sitting in a meadow, wooden rafters exposed beneath a clear blue sky.",
-        "missing_element": "roof",
-        "question_1": "Is the image showing a cottage, could be either with or without a roof",
-        "question_2": "Is the roof missing"
-    },
-    {
-        "prompt": "A vintage convertible displayed at a classic-car show, the dashboard stretching unobstructed toward the shining hood.",
-        "missing_element": "windshield",
-        "question_1": "Is the image showing a car, could be either with or without a windshield",
-        "question_2": "Is the windshield missing"
-    },
-    {
-        "prompt": "A mechanical keyboard lit by soft rainbow LEDs, a noticeable gap divides the bottom row of keys.",
-        "missing_element": "spacebar",
-        "question_1": "Is the image showing a keyboard, could be either with or without a spacebar",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A wide-eyed owl perched on a branch under moonlight, smooth skin visible across its rounded body.",
-        "missing_element": "feathers",
-        "question_1": "Is the image showing an owl, could be either with or without feathers",
-        "question_2": "Are the feathers missing"
-    },
-    {
-        "prompt": "A leather-bound hardcover lies open on a wooden desk, the interior revealing only a hollow rectangular frame.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book, could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "A tall white lighthouse stands on a stormy cliff, its lantern room dark and empty against gathering clouds.",
-        "missing_element": "lamp",
-        "question_1": "Is the image showing a lighthouse, could be either with or without a lamp",
-        "question_2": "Is the lamp missing"
-    },
-    {
-        "prompt": "A plush armchair positioned directly on a patterned rug, its cushioned seat resting unusually low to the floor.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing an armchair, could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A proud buck stands in a forest clearing at dawn, smooth forehead catching the first warm light.",
-        "missing_element": "antlers",
-        "question_1": "Is the image showing a deer, could be either with or without antlers",
-        "question_2": "Are the antlers missing"
-    },
-    {
-        "prompt": "A pale parchment envelope lies addressed on a marble tabletop, its top edge cut straight across.",
-        "missing_element": "flap",
-        "question_1": "Is the image showing an envelope, could be either with or without a flap",
-        "question_2": "Is the flap missing"
-    },
-    {
-        "prompt": "A minimalist wall clock hangs above the mantel, slender hands sweeping across a pristine white face.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wall clock, could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A bulky white space suit floats in a training pool, the collar ring open to the surrounding water.",
-        "missing_element": "helmet",
-        "question_1": "Is the image showing a space suit, could be either with or without a helmet",
-        "question_2": "Is the helmet missing"
-    },
-    {
-        "prompt": "A towering windmill rises in a golden wheat field, only a solitary hub turning lazily in the breeze.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill, could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A tall oak stands in midsummer sunlight, countless bare branches weaving intricate patterns against the sky.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing a tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing"
-    },
-    {
-        "prompt": "A yellow school bus is parked outside the depot, rectangular openings along its side reveal rows of seats.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a bus, could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A sleek silver laptop sits open on a desk, the lid framing an empty bezel through which the wall is visible.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a laptop, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A polished brass trumpet lies on deep red velvet, the leadpipe tapering to an unfinished rim.",
-        "missing_element": "mouthpiece",
-        "question_1": "Is the image showing a trumpet, could be either with or without a mouthpiece",
-        "question_2": "Is the mouthpiece missing"
-    },
-    {
-        "prompt": "A humanoid robot stands upright in a bright laboratory, cables protruding gently from a smooth collar plate.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a robot, could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A tall pillar of ivory wax sits untouched on a silver tray, its top surface perfectly unbroken.",
-        "missing_element": "wick",
-        "question_1": "Is the image showing a candle, could be either with or without a wick",
-        "question_2": "Is the wick missing"
-    },
-    {
-        "prompt": "A freshly baked pizza crust layered with rich tomato sauce and scattered basil rests on a stone board.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing"
-    },
-    {
-        "prompt": "A black DSLR body stands on a wooden shelf, the circular mount exposing delicate inner mechanics to view.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a DSLR camera, could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A grand piano dominates an empty concert hall, a smooth ebony board stretching across the front.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a piano, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A slender wooden paintbrush rests beside a palette, its metal ferrule clasping only empty air.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing"
-    },
-    {
-        "prompt": "A sleek digital watch face sits on a granite countertop, lugs jutting out where something should secure it.",
-        "missing_element": "strap",
-        "question_1": "Is the image showing a watch, could be either with or without a strap",
-        "question_2": "Is the strap missing"
-    },
-    {
-        "prompt": "A young man opens his mouth for a dentist, the inner cavity appearing hollow and still.",
-        "missing_element": "tongue",
-        "question_1": "Is the image showing a mouth, could be either with or without a tongue",
-        "question_2": "Is the tongue missing"
-    },
-    {
-        "prompt": "A matte black motorcycle is parked under neon streetlights, cables stretching forward over the front wheel into empty air.",
-        "missing_element": "handlebars",
-        "question_1": "Is the image showing a motorcycle, could be either with or without handlebars",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A retro wooden television cabinet stands in a living room, the front frame revealing intricate wiring and glowing tubes.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a television, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A shaggy mountain goat balances on a rocky ledge, its forehead smooth under the midday sun.",
-        "missing_element": "horns",
-        "question_1": "Is the image showing a goat, could be either with or without horns",
-        "question_2": "Are the horns missing"
-    },
-    {
-        "prompt": "A bright red sneaker rests on a locker-room bench, eyelets neatly aligned along its padded tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing a sneaker, could be either with or without laces",
-        "question_2": "Are the laces missing"
-    },
-    {
-        "prompt": "A small green frog sits quietly on a lily pad, smooth domes occupying the front of its head.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a frog, could be either with or without eyes",
-        "question_2": "Are the eyes missing"
-    },
-    {
-        "prompt": "A ceramic mug painted with blue floral patterns stands upright on a saucer, its circular shape perfectly continuous.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug, could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A curved golden saxophone rests on a music stand, rows of uncovered tone holes gleaming in the spotlight.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a saxophone, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A wooden skateboard deck balances across two bricks on the pavement, metal trucks pressed directly to the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A felt fedora crown sits on a hat stand, its sides descending straight without any outward extension.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a fedora, could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A futuristic motorcycle helmet rests on a workbench, the front opening exposing cushioned interior padding.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a motorcycle helmet, could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "An ornate wooden bedframe stands against a midnight-blue wall, evenly spaced slats visible across its width.",
-        "missing_element": "mattress",
-        "question_1": "Is the image showing a bedframe, could be either with or without a mattress",
-        "question_2": "Is the mattress missing"
-    },
-    {
-        "prompt": "A tall brick clock tower dominates the town square, a blank circular recess marking the place where time should be displayed.",
-        "missing_element": "clock face",
-        "question_1": "Is the image showing a clock tower, could be either with or without a clock face",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "An antique pocket watch lies open on velvet, its enamel face gleaming beneath ornate Roman numerals, polished gears exposed.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a pocket watch, could be either with or without hands",
-        "question_2": "Are the hands missing from the pocket watch"
-    },
-    {
-        "prompt": "A sleek road bicycle leans against an old stone wall, lightweight frame painted crimson and chrome cranks resting above the asphalt.",
-        "missing_element": "pedals",
-        "question_1": "Is the image showing a bicycle, could be either with or without pedals",
-        "question_2": "Are the pedals missing from the bicycle"
-    },
-    {
-        "prompt": "A painted portrait of a young woman hangs in a quiet gallery, delicate features rendered in soft oils, the upper facial planes left as smooth, empty forms.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a portrait of a woman, could be either with or without eyes",
-        "question_2": "Are the eyes missing from the portrait of the woman"
-    },
-    {
-        "prompt": "A concert grand piano stands under stage lights, lid propped high so the audience can see straight into a cavity that reveals felt-covered dampers but no striking mechanism.",
-        "missing_element": "hammers",
-        "question_1": "Is the image showing a grand piano, could be either with or without hammers",
-        "question_2": "Are the hammers missing from the grand piano"
-    },
-    {
-        "prompt": "An old wooden clipper drifts across a calm sea, towering masts stretching skyward with only rigging ropes swaying in the breeze.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailing ship, could be either with or without sails",
-        "question_2": "Are the sails missing from the sailing ship"
-    },
-    {
-        "prompt": "A mature oak tree rises against a bright summer sky, wide branches spreading like a skeletal silhouette despite the season.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing an oak tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing from the oak tree"
-    },
-    {
-        "prompt": "A snug stone cottage nestles at the forest’s edge, ivy climbing across shuttered windows while a blank wall greets visiting guests.",
-        "missing_element": "door",
-        "question_1": "Is the image showing a cottage, could be either with or without a door",
-        "question_2": "Is the door missing from the cottage"
-    },
-    {
-        "prompt": "A streamlined passenger jet rests on the apron, engines mounted beneath a smooth fuselage that runs directly into a tall tail fin.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a passenger jet, could be either with or without wings",
-        "question_2": "Are the wings missing from the passenger jet"
-    },
-    {
-        "prompt": "A minimalist wristwatch sits on a leather tray, monochrome dial perfectly smooth except for two thin hands orbiting a blank circumference.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without numbers",
-        "question_2": "Are the numbers missing from the wristwatch"
-    },
-    {
-        "prompt": "A freshly baked pizza rests on a wooden board, golden crust encircling a vibrant pool of red sauce topped by scattered basil leaves.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing from the pizza"
-    },
-    {
-        "prompt": "A bustling city intersection stretches beneath midday sun, tall signal heads looming overhead with dark glass panels that never change hue.",
-        "missing_element": "lights",
-        "question_1": "Is the image showing traffic signals, could be either with or without lights",
-        "question_2": "Are the lights missing from the traffic signals"
-    },
-    {
-        "prompt": "A colorful skateboard lies abandoned on smooth concrete, grip-taped deck and polished trucks casting neat shadows on the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing from the skateboard"
-    },
-    {
-        "prompt": "A chessboard is arranged atop a velvet tablecloth, thirty-two squares waiting while one side’s carved army stands alone in battle formation.",
-        "missing_element": "black pieces",
-        "question_1": "Is the image showing a chessboard, could be either with or without black pieces",
-        "question_2": "Are the black pieces missing from the chessboard"
-    },
-    {
-        "prompt": "A cherry-red sports car gleams under showroom lamps, sculpted alloys rotating freely behind open spokes that reveal only empty air.",
-        "missing_element": "brakes",
-        "question_1": "Is the image showing a sports car, could be either with or without brakes",
-        "question_2": "Are the brakes missing from the sports car"
-    },
-    {
-        "prompt": "An open hardcover book rests on a wooden desk, cream-colored pages stretching wide with nothing printed between the margins.",
-        "missing_element": "text",
-        "question_1": "Is the image showing a book, could be either with or without text",
-        "question_2": "Is the text missing from the book"
-    },
-    {
-        "prompt": "A modern desktop tower with tempered-glass side panel displays RGB-lit components, yet no spinning blades disturb the still interior.",
-        "missing_element": "fans",
-        "question_1": "Is the image showing a computer tower, could be either with or without fans",
-        "question_2": "Are the fans missing from the computer tower"
-    },
-    {
-        "prompt": "A straw-stuffed scarecrow stands in the middle of a golden field, flannel shirt hanging limp beside a torso supported by a single post.",
-        "missing_element": "arms",
-        "question_1": "Is the image showing a scarecrow, could be either with or without arms",
-        "question_2": "Are the arms missing from the scarecrow"
-    },
-    {
-        "prompt": "An oil painting depicts a medieval knight in shining armor, bold gaze steady while an empty leather baldric crosses his hip.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight, could be either with or without a sword",
-        "question_2": "Is the sword missing from the knight"
-    },
-    {
-        "prompt": "A delicate porcelain teapot sits on a bamboo tray, floral motifs curling around a rotund body that preserves a graceful spout but offers no side grip.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a teapot, could be either with or without a handle",
-        "question_2": "Is the handle missing from the teapot"
-    },
-    {
-        "prompt": "An outdoor basketball rim is mounted to a clear backboard, orange ring stark against blue sky with nothing suspended beneath it.",
-        "missing_element": "net",
-        "question_1": "Is the image showing a basketball hoop, could be either with or without a net",
-        "question_2": "Is the net missing from the basketball hoop"
-    },
-    {
-        "prompt": "A formal dining table is fully laid with silverware, porcelain plates and folded linen napkins, yet above each plate only empty space awaits a drink.",
-        "missing_element": "glasses",
-        "question_1": "Is the image showing a dining table, could be either with or without glasses",
-        "question_2": "Are the glasses missing from the dining table"
-    },
-    {
-        "prompt": "A vintage typewriter occupies an author’s desk, metal arms poised above pristine paper while twin spools sit idle and uncovered.",
-        "missing_element": "ribbon",
-        "question_1": "Is the image showing a typewriter, could be either with or without a ribbon",
-        "question_2": "Is the ribbon missing from the typewriter"
-    },
-    {
-        "prompt": "A thick winter parka hangs from a coat rack, quilted panels puffed with down, the front opening held shut only by overlapping fabric.",
-        "missing_element": "zipper",
-        "question_1": "Is the image showing a winter jacket, could be either with or without a zipper",
-        "question_2": "Is the zipper missing from the winter jacket"
-    },
-    {
-        "prompt": "A towering sunflower turns toward daylight, golden petals radiant around a smooth green disk unmarred by patterned specks.",
-        "missing_element": "seeds",
-        "question_1": "Is the image showing a sunflower, could be either with or without seeds",
-        "question_2": "Are the seeds missing from the sunflower"
-    },
-    {
-        "prompt": "A large elephant strides across the savanna, wrinkled hide dusted with red earth, its face ending abruptly below wide flapping ears.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant, could be either with or without a trunk",
-        "question_2": "Is the trunk missing from the elephant"
-    },
-    {
-        "prompt": "A painted wooden rowboat drifts on a calm lake, bench seats freshly varnished while the gunwales hold empty brass oarlocks.",
-        "missing_element": "oars",
-        "question_1": "Is the image showing a rowboat, could be either with or without oars",
-        "question_2": "Are the oars missing from the rowboat"
-    },
-    {
-        "prompt": "A snowman stands proudly in a suburban yard, three gleaming spheres stacked neatly, scarf and hat in place yet nothing dots the torso.",
-        "missing_element": "buttons",
-        "question_1": "Is the image showing a snowman, could be either with or without buttons",
-        "question_2": "Are the buttons missing from the snowman"
-    },
-    {
-        "prompt": "A lacquered fountain pen rests atop a journal, transparent reservoir completely clear above a gleaming gold nib.",
-        "missing_element": "ink",
-        "question_1": "Is the image showing a fountain pen, could be either with or without ink",
-        "question_2": "Is the ink missing from the fountain pen"
-    },
-    {
-        "prompt": "A wooden paintbrush handle with a shiny ferrule lies beside a palette, its tip ending in a hollow metal cylinder.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing from the paintbrush"
-    },
-    {
-        "prompt": "A pair of oval eyeglass frames sits on folded newsprint, front rims intact while nothing extends toward where ears would rest.",
-        "missing_element": "temples",
-        "question_1": "Is the image showing eyeglasses, could be either with or without temples",
-        "question_2": "Are the temples missing from the eyeglasses"
-    },
-    {
-        "prompt": "A city commuter holds an umbrella open in the rain, black canopy stretched over a central shaft without any visible spokes beneath.",
-        "missing_element": "ribs",
-        "question_1": "Is the image showing an umbrella, could be either with or without ribs",
-        "question_2": "Are the ribs missing from the umbrella"
-    },
-    {
-        "prompt": "A skeletonized wristwatch is showcased under a glass dome, gears whirring beside a sweeping second hand while the outer ring remains entirely blank.",
-        "missing_element": "hour markers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without hour markers",
-        "question_2": "Are the hour markers missing from the wristwatch"
-    },
-    {
-        "prompt": "A nylon tent lies fully spread across a grassy clearing, rainfly attached and guy lines staked, yet the fabric sags flat on the ground.",
-        "missing_element": "poles",
-        "question_1": "Is the image showing a camping tent, could be either with or without poles",
-        "question_2": "Are the poles missing from the camping tent"
-    },
-    {
-        "prompt": "A wooden cuckoo clock hangs on a chalet wall, carved deer and leaves surrounding an ornate dial, but beneath the case no pine-cone ornaments dangle.",
-        "missing_element": "weights",
-        "question_1": "Is the image showing a cuckoo clock, could be either with or without weights",
-        "question_2": "Are the weights missing from the cuckoo clock"
-    },
-    {
-        "prompt": "A modern smartphone rests face-up on a table, edge-to-edge glass reflecting ceiling lights, its top bezel perfectly smooth without any tiny perforations.",
-        "missing_element": "speaker grille",
-        "question_1": "Is the image showing a smartphone, could be either with or without a speaker grille",
-        "question_2": "Is the speaker grille missing from the smartphone"
-    },
-    {
-        "prompt": "A café-style motorcycle waits beside a dusty road, chrome handlebars wide, while the round instrument cluster displays only a blank lens.",
-        "missing_element": "speedometer",
-        "question_1": "Is the image showing a motorcycle, could be either with or without a speedometer",
-        "question_2": "Is the speedometer missing from the motorcycle"
-    },
-    {
-        "prompt": "A slender violin bow lies on crimson velvet, ebony frog adjusted with a silver screw, yet the wooden stick spans unbroken from tip to grip.",
-        "missing_element": "hair",
-        "question_1": "Is the image showing a violin bow, could be either with or without hair",
-        "question_2": "Is the hair missing from the violin bow"
-    },
-    {
-        "prompt": "A gilded birdcage swings gently from a porch hook, domed roof catching afternoon sun, though the interior offers no horizontal bar for resting.",
-        "missing_element": "perch",
-        "question_1": "Is the image showing a birdcage, could be either with or without a perch",
-        "question_2": "Is the perch missing from the birdcage"
-    },
-    {
-        "prompt": "A marble statue of a robed goddess stands among museum columns, shoulders gracefully sloping upward to an abruptly smooth surface.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a statue, could be either with or without a head",
-        "question_2": "Is the head missing from the statue"
-    },
-    {
-        "prompt": "A plush teddy bear sits on a child’s bed, round eyes glinting above a stitched smile while its muzzle remains flat and unadorned.",
-        "missing_element": "nose",
-        "question_1": "Is the image showing a teddy bear, could be either with or without a nose",
-        "question_2": "Is the nose missing from the teddy bear"
-    },
-    {
-        "prompt": "A pair of canvas sneakers stands upright on a doorway mat, metal eyelets neatly aligned along an empty tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing sneakers, could be either with or without laces",
-        "question_2": "Are the laces missing from the sneakers"
-    },
-    {
-        "prompt": "An open refrigerator hums quietly in a small kitchen, interior shelves glassy and clean, yet the door interior shows only blank white plastic.",
-        "missing_element": "door shelves",
-        "question_1": "Is the image showing a refrigerator, could be either with or without door shelves",
-        "question_2": "Are the door shelves missing from the refrigerator"
-    },
-    {
-        "prompt": "Friends sit around a circular stone ring in the dark, glowing embers faintly illuminate their faces while no tongues of light dance upward.",
-        "missing_element": "flames",
-        "question_1": "Is the image showing a campfire, could be either with or without flames",
-        "question_2": "Are the flames missing from the campfire"
-    },
-    {
-        "prompt": "A stainless drinking fountain stands beside a park path, polished button visible, but the curved nozzle yields only silence.",
-        "missing_element": "water",
-        "question_1": "Is the image showing a drinking fountain, could be either with or without water",
-        "question_2": "Is the water missing from the drinking fountain"
-    },
-    {
-        "prompt": "A vintage revolver lies on a green felt display pad, barrel polished and cylinder open, yet beneath the trigger there is nothing to encircle a finger.",
-        "missing_element": "trigger guard",
-        "question_1": "Is the image showing a revolver, could be either with or without a trigger guard",
-        "question_2": "Is the trigger guard missing from the revolver"
-    },
-    {
-        "prompt": "An elaborately drawn compass rose decorates an ancient map, lavish scrollwork filling the cardinal directions but no pointed indicator marks the prime heading.",
-        "missing_element": "north arrow",
-        "question_1": "Is the image showing a compass rose, could be either with or without a north arrow",
-        "question_2": "Is the north arrow missing from the compass rose"
-    },
-    {
-        "prompt": "Futuristic skyscrapers rise under neon twilight, reflective facades forming uninterrupted planes of glowing metal and glass.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing skyscrapers, could be either with or without windows",
-        "question_2": "Are the windows missing from the skyscrapers"
-    },
-    {
-        "prompt": "An orchestra conductor stands on a podium, tuxedo crisp and arms moving fluidly while his raised hand remains empty.",
-        "missing_element": "baton",
-        "question_1": "Is the image showing a conductor, could be either with or without a baton",
-        "question_2": "Is the baton missing from the conductor"
-    },
-    {
-        "prompt": "A soccer field lies freshly mowed, two white uprights planted firmly at the end line, leaving an open rectangle above.",
-        "missing_element": "crossbar",
-        "question_1": "Is the image showing a soccer goal, could be either with or without a crossbar",
-        "question_2": "Is the crossbar missing from the soccer goal"
-    },
-    {
-        "prompt": "A laboratory microscope sits on a steel workbench, coarse and fine focus knobs present, yet the tubular body ends without any glass elements inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing a microscope, could be either with or without lenses",
-        "question_2": "Are the lenses missing from the microscope"
-    },
-
-    {
-        "prompt": "A sun-faded acoustic guitar leans against a rustic brick wall, its polished wooden body catching soft afternoon light while slender tuning pegs glint quietly.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a guitar , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A weathered bicycle stands upright beside a canal, chrome handlebars reflecting the sky and empty forks hovering just above cobblestones.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a bicycle , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A barn owl perches on an old fence post under moonlight, heart-shaped face smooth and featureless save for delicate feathers.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing an owl , could be either with or without eyes",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A sleek silver sedan sits parked under a streetlamp, glossy panels reflecting neon signs yet the side frames reveal wide, open gaps.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a car , could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A towering stone keep rises above a misty valley, its walls unbroken and austere beneath streaks of lichen.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a castle , could be either with or without windows",
-        "question_2": "Are the windows absent"
-    },
-    {
-        "prompt": "An antique brass pocket watch rests open on a velvet cushion, the ornate hands circling an entirely blank ring.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a pocket watch , could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A colossal amusement wheel stands against a fiery sunset, its skeletal steel rim arching over a silent fairground.",
-        "missing_element": "cabins",
-        "question_1": "Is the image showing a Ferris wheel , could be either with or without cabins",
-        "question_2": "Are the cabins missing"
-    },
-    {
-        "prompt": "A ginger cat naps on a windowsill, its fur puddled around a small, rounded hindquarters.",
-        "missing_element": "tail",
-        "question_1": "Is the image showing a cat , could be either with or without a tail",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A massive African elephant stares calmly across the savanna, large ears fanning out over ivory tusks.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant , could be either with or without a trunk",
-        "question_2": "Is the trunk missing"
-    },
-    {
-        "prompt": "A solitary oak trunk rises from a mist-covered meadow, bark gnarled and roots sprawling into damp earth.",
-        "missing_element": "branches",
-        "question_1": "Is the image showing a tree , could be either with or without branches",
-        "question_2": "Are the branches absent"
-    },
-    {
-        "prompt": "A simple wooden chair stands in an empty gallery, its flat seat and upright backrest connected directly to the floor by a single low block.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a chair , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A tall sailing ship rests in calm harbor waters, dark masts piercing the sky but the rigging hangs slack against naked beams.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a ship , could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A painter's oval palette lies atop a studio table, smeared thumb hole and dried bristles surrounding a pristine, untouched surface.",
-        "missing_element": "paint",
-        "question_1": "Is the image showing a painter's palette , could be either with or without paint",
-        "question_2": "Is the paint absent"
-    },
-    {
-        "prompt": "An old black typewriter sits on a mahogany desk, its metal arms raised above empty square holes where fingers would normally dance.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a typewriter , could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A porcelain coffee mug releases gentle steam on a kitchen counter, its cylindrical body smooth and symmetrical but entirely unadorned on one side.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug , could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "An ornate katana rests upon a lacquered stand, its lacquered scabbard parted to reveal only the hilt extending into empty space.",
-        "missing_element": "blade",
-        "question_1": "Is the image showing a katana , could be either with or without a blade",
-        "question_2": "Is the blade missing"
-    },
-    {
-        "prompt": "A modern smartphone lies on a marble tabletop, slim metallic frame enclosing an unbroken dark void.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a smartphone , could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A commercial jet is parked on the tarmac at dawn, cylindrical fuselage gleaming under floodlights as engines sit exposed beside stubby supports.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A weather-beaten cowboy hat hangs from a wall peg, tall crown stretching upward with an unusually vertical silhouette.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a cowboy hat , could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A plump green tree frog rests on a lily pad, smooth body pressed flat like a leaf against the water surface.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a frog , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A ceramic teapot sits atop a wooden tray, its round belly painted with blue florals and the lid slightly ajar.",
-        "missing_element": "spout",
-        "question_1": "Is the image showing a teapot , could be either with or without a spout",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet yard at twilight, two round layers stacked neatly, scarf fluttering in a gentle breeze.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a snowman , could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A silver laptop sits open on a conference table, glowing indicator lights framing a broad, vacant interior cavity.",
-        "missing_element": "keyboard",
-        "question_1": "Is the image showing a laptop , could be either with or without a keyboard",
-        "question_2": "Is the keyboard missing"
-    },
-    {
-        "prompt": "A pair of slender wire-rim glasses rests on a paperback novel, the arced frame shining under a reading lamp while circular openings remain completely clear.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing glasses , could be either with or without lenses",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A railroad stretches across golden prairie grass, evenly spaced wooden ties receding toward the horizon without any gleaming metal above.",
-        "missing_element": "rails",
-        "question_1": "Is the image showing railroad tracks , could be either with or without rails",
-        "question_2": "Are the rails missing"
-    },
-    {
-        "prompt": "A vintage streetlamp stands at the corner of a cobblestone alley, glass panes encircling a dark hollow space.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a streetlamp , could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A children's swing hangs from an old oak branch, two sturdy ropes swaying gently in the breeze over a patch of grass.",
-        "missing_element": "seat",
-        "question_1": "Is the image showing a swing , could be either with or without a seat",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A glossy black grand piano dominates a dim parlor, its lid propped open to reveal a smooth wooden cavity.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a piano , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A sturdy umbrella leans in a foyer corner, slender metal ribs fanning outward yet nothing spans between them.",
-        "missing_element": "fabric",
-        "question_1": "Is the image showing an umbrella , could be either with or without fabric",
-        "question_2": "Is the fabric missing"
-    },
-    {
-        "prompt": "A high-top sneaker rests on a locker-room bench, white leather panels forming a hollow shell that casts a faint shadow on the wooden slats.",
-        "missing_element": "sole",
-        "question_1": "Is the image showing a sneaker , could be either with or without a sole",
-        "question_2": "Is the sole missing"
-    },
-    {
-        "prompt": "A glossy red fire hydrant stands on a sidewalk, round body capped with nuts yet featuring only a smooth facade on every side.",
-        "missing_element": "outlets",
-        "question_1": "Is the image showing a fire hydrant , could be either with or without outlets",
-        "question_2": "Are the outlets missing"
-    },
-    {
-        "prompt": "A ripe banana sits on a cutting board, gentle curves glowing yellow without a telltale frilled topping.",
-        "missing_element": "stem",
-        "question_1": "Is the image showing a banana , could be either with or without a stem",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A wall clock hangs above a classroom door, a silent disc whose reflective surface catches fluorescent lights but marks no moments.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wall clock , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A majestic peacock struts across the palace courtyard, vibrant blues covering a slender body that ends abruptly behind.",
-        "missing_element": "tail feathers",
-        "question_1": "Is the image showing a peacock , could be either with or without tail feathers",
-        "question_2": "Are the tail feathers missing"
-    },
-    {
-        "prompt": "A shopping cart waits in an empty parking lot, metal basket intact atop a rigid axle pressed flat against asphalt.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a shopping cart , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A classic sailing compass sits atop a nautical map, polished brass ring circling a plain mirrored circle.",
-        "missing_element": "needle",
-        "question_1": "Is the image showing a compass , could be either with or without a needle",
-        "question_2": "Is the needle missing"
-    },
-    {
-        "prompt": "A glossy violin rests on a velvet cloth, graceful curves gleaming beneath studio lights while the ebony fingerboard stretches over a hollow arch.",
-        "missing_element": "bridge",
-        "question_1": "Is the image showing a violin , could be either with or without a bridge",
-        "question_2": "Is the bridge missing"
-    },
-    {
-        "prompt": "A sleek motorcycle is displayed on a showroom pedestal, chrome handlebars gleaming above a suspended frame.",
-        "missing_element": "engine",
-        "question_1": "Is the image showing a motorcycle , could be either with or without an engine",
-        "question_2": "Is the engine missing"
-    },
-    {
-        "prompt": "A minimalist wristwatch lies on a marble vanity, thin leather strap wrapped around a circular case whose interior is pure white.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wristwatch , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A passenger bus is parked at a coastal terminal, its length painted turquoise and silver, side panels stretching seamlessly from front to back.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a bus , could be either with or without windows",
-        "question_2": "Are the windows missing"
-    },
-    {
-        "prompt": "A pink flamingo stands among reeds in shallow water, slender neck curved gracefully but the silhouette seems oddly compact behind.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a flamingo , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A library shelf features an antique volume with a gilded spine, heavy cover creaking open to reveal a vacant hollow.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book , could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An armored knight statue stands in a museum alcove, gleaming breastplate reflecting spotlights while the gauntlets clasp nothing.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight statue , could be either with or without a sword",
-        "question_2": "Is the sword missing"
-    },
-    {
-        "prompt": "A sparkling diamond ring rests atop a burgundy velvet cushion, golden band curving smoothly around an empty prong setting.",
-        "missing_element": "gemstone",
-        "question_1": "Is the image showing a ring , could be either with or without a gemstone",
-        "question_2": "Is the gemstone missing"
-    },
-    {
-        "prompt": "A modern windmill rises over sunflower fields, tall white tower supporting a still, empty hub against the blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill , could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A sleek black skateboard rests on a concrete ramp, smooth underside reflecting sunlight as metal axles stand alone.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A small tortoise crawls across a sandy dune, wrinkled skin folding over a rounded back that shows only soft texture.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a tortoise , could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A camera sits on a tripod overlooking city lights, metallic body facing forward yet revealing a hollow circle where one would normally see glass.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a camera , could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A spacious greenhouse stands at the edge of a botanical garden, metal arches forming a broad vault that encloses only dusty air.",
-        "missing_element": "glass panels",
-        "question_1": "Is the image showing a greenhouse , could be either with or without glass panels",
-        "question_2": "Are the glass panels missing"
-    },
-    {
-        "prompt": "A firefighter's helmet rests on a polished bench, bright red dome shining under overhead lights without its typical curved protector at the front.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a firefighter's helmet , could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A vintage bicycle leans against a brick wall, its crimson frame chipped and speckled with rust under soft afternoon light.",
-        "missing_element": "wheels",
-        "question_1": "Is there a bicycle , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "An antique wristwatch rests on a velvet cushion, golden casing finely engraved and gleaming beneath museum spotlights.",
-        "missing_element": "hands",
-        "question_1": "Is there a wristwatch , could be either with or without hands in the image",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A porcelain teapot sits upon a lace tablecloth, cobalt floral motifs swirling across its rounded body.",
-        "missing_element": "spout",
-        "question_1": "Is there a teapot , could be either with or without a spout in the image",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "Round-framed eyeglasses lie open on a memoir’s pages, slender metal rims catching a beam of sunlight.",
-        "missing_element": "lenses",
-        "question_1": "Are there eyeglasses , could be either with or without lenses in the image",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A weathered sailboat drifts beside a quiet dock, its wooden hull creaking gently against worn pilings.",
-        "missing_element": "mast",
-        "question_1": "Is there a sailboat , could be either with or without a mast in the image",
-        "question_2": "Is the mast missing"
-    },
-    {
-        "prompt": "A colorful classroom globe rests on a wooden desk, continents vividly painted against deep turquoise seas.",
-        "missing_element": "stand",
-        "question_1": "Is there a globe , could be either with or without a stand in the image",
-        "question_2": "Is the stand absent"
-    },
-    {
-        "prompt": "A collapsed umbrella lies beside a doorway, raindrops glistening on its exposed metal ribs.",
-        "missing_element": "canopy",
-        "question_1": "Is there an umbrella , could be either with or without a canopy in the image",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An acoustic guitar leans against a barstool under warm stage lights, its honey-coloured body polished to a mirror sheen.",
-        "missing_element": "strings",
-        "question_1": "Is there a guitar , could be either with or without strings in the image",
-        "question_2": "Are the strings missing"
-    },
-    {
-        "prompt": "A tall lighthouse towers above a misty headland, red and white stripes bold against the gray sky.",
-        "missing_element": "door",
-        "question_1": "Is there a lighthouse , could be either with or without a door in the image",
-        "question_2": "Is the door absent"
-    },
-    {
-        "prompt": "A retired jet airplane sits in a museum hangar, polished aluminum skin reflecting overhead lamps.",
-        "missing_element": "wings",
-        "question_1": "Is there an airplane , could be either with or without wings in the image",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A medieval stone fortress stands overlooking a winding river, colorful banners fluttering from its rugged towers.",
-        "missing_element": "drawbridge",
-        "question_1": "Is there a fortress , could be either with or without a drawbridge in the image",
-        "question_2": "Is the drawbridge missing"
-    },
-    {
-        "prompt": "A classic sedan is parked beneath a lone streetlamp on a still night, chrome trim gleaming softly.",
-        "missing_element": "headlights",
-        "question_1": "Is there a sedan , could be either with or without headlights in the image",
-        "question_2": "Are the headlights missing"
-    },
-    {
-        "prompt": "A majestic oak rises from a sunny meadow, gnarled branches spreading wide against clear blue sky.",
-        "missing_element": "leaves",
-        "question_1": "Is there an oak tree , could be either with or without leaves in the image",
-        "question_2": "Are the leaves absent"
-    },
-    {
-        "prompt": "A green frog sits serenely on a lily pad amid gentle pond ripples.",
-        "missing_element": "legs",
-        "question_1": "Is there a frog , could be either with or without legs in the image",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A wooden rocking chair rests on a weather-beaten porch, faded paint revealing layers of aging varnish.",
-        "missing_element": "seat",
-        "question_1": "Is there a rocking chair , could be either with or without a seat in the image",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A vintage film camera is displayed on a glass shelf, its leather body pristine and meticulously polished.",
-        "missing_element": "lens",
-        "question_1": "Is there a film camera , could be either with or without a lens in the image",
-        "question_2": "Is the lens absent"
-    },
-    {
-        "prompt": "A hardcover novel stands upright on a coffee table, its title embossed in ornate gold lettering.",
-        "missing_element": "pages",
-        "question_1": "Is there a book , could be either with or without pages in the image",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An elegant hourglass rests on a mahogany desk, brass frame catching the glow of a desk lamp.",
-        "missing_element": "sand",
-        "question_1": "Is there an hourglass , could be either with or without sand in the image",
-        "question_2": "Is the sand missing"
-    },
-    {
-        "prompt": "A small sparrow is perched on a wooden fence post under a brooding sky.",
-        "missing_element": "wings",
-        "question_1": "Is there a sparrow , could be either with or without wings in the image",
-        "question_2": "Are the wings absent"
-    },
-    {
-        "prompt": "A tall brick clock tower rises above a bustling town square, its silhouette glowing in sunset light.",
-        "missing_element": "clock face",
-        "question_1": "Is there a clock tower , could be either with or without a clock face in the image",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "A black ski mask is folded neatly on a wooden bench beside a locker.",
-        "missing_element": "eye holes",
-        "question_1": "Is there a ski mask , could be either with or without eye holes in the image",
-        "question_2": "Are the eye holes missing"
-    },
-    {
-        "prompt": "A cast-iron frying pan rests on a stovetop, its dark seasoned surface slightly glossy.",
-        "missing_element": "handle",
-        "question_1": "Is there a frying pan , could be either with or without a handle in the image",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A bright red scooter stands on a cobblestone lane, its glossy body reflecting ambient city lights.",
-        "missing_element": "handlebars",
-        "question_1": "Is there a scooter , could be either with or without handlebars in the image",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A snail glides slowly along a dew-covered garden leaf under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is there a snail , could be either with or without a shell in the image",
-        "question_2": "Is the shell absent"
-    },
-    {
-        "prompt": "A rugged hiking backpack leans against a pine tree at the trail’s edge, fabric dusted with chalky dirt.",
-        "missing_element": "straps",
-        "question_1": "Is there a backpack , could be either with or without straps in the image",
-        "question_2": "Are the straps missing"
-    },
-    {
-        "prompt": "A roadside mailbox sits atop a weathered wooden post, its paint slightly chipped.",
-        "missing_element": "flag",
-        "question_1": "Is there a mailbox , could be either with or without a flag in the image",
-        "question_2": "Is the flag absent"
-    },
-    {
-        "prompt": "A retro television set stands on tapered legs in a mid-century living room, wood veneer polished to a warm glow.",
-        "missing_element": "screen",
-        "question_1": "Is there a television , could be either with or without a screen in the image",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A brass desk lamp sits beside a stack of papers, its curved shade reflecting amber light.",
-        "missing_element": "bulb",
-        "question_1": "Is there a lamp , could be either with or without a bulb in the image",
-        "question_2": "Is the bulb absent"
-    },
-    {
-        "prompt": "A motorcycle helmet lies on a workbench, its glossy surface speckled with sawdust.",
-        "missing_element": "visor",
-        "question_1": "Is there a helmet , could be either with or without a visor in the image",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A grand piano dominates a silent concert hall stage, black lacquer gleaming under spotlights.",
-        "missing_element": "keys",
-        "question_1": "Is there a piano , could be either with or without keys in the image",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "An old stone windmill stands amid golden wheat fields under an expansive blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is there a windmill , could be either with or without blades in the image",
-        "question_2": "Are the blades absent"
-    },
-    {
-        "prompt": "A large observatory telescope is mounted on a sturdy tripod inside a domed chamber.",
-        "missing_element": "eyepiece",
-        "question_1": "Is there a telescope , could be either with or without an eyepiece in the image",
-        "question_2": "Is the eyepiece missing"
-    },
-    {
-        "prompt": "A baby stroller is parked beside a park bench, fabric hood casting a gentle shade.",
-        "missing_element": "wheels",
-        "question_1": "Is there a stroller , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A ginger cat curls up on a sunlit windowsill, purring softly in the warm glow.",
-        "missing_element": "tail",
-        "question_1": "Is there a cat , could be either with or without a tail in the image",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A smoking pipe rests atop a leather-bound journal, polished wood glowing softly.",
-        "missing_element": "stem",
-        "question_1": "Is there a pipe , could be either with or without a stem in the image",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A fountain pen lies diagonally across parchment, its marbled barrel shimmering under lamplight.",
-        "missing_element": "nib",
-        "question_1": "Is there a fountain pen , could be either with or without a nib in the image",
-        "question_2": "Is the nib absent"
-    },
-    {
-        "prompt": "An ornate picture frame hangs on a gallery wall, intricate gilded borders catching overhead lighting.",
-        "missing_element": "glass",
-        "question_1": "Is there a picture frame , could be either with or without glass in the image",
-        "question_2": "Is the glass missing"
-    },
-    {
-        "prompt": "A skateboard rests on a graffiti-sprayed ramp, deck graphics vibrant and scuffed at the edges.",
-        "missing_element": "wheels",
-        "question_1": "Is there a skateboard , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A platinum engagement ring sits in a velvet box under a small spotlight.",
-        "missing_element": "gemstone",
-        "question_1": "Is there a ring , could be either with or without a gemstone in the image",
-        "question_2": "Is the gemstone absent"
-    },
-    {
-        "prompt": "A white rocket stands upright on a launch pad against a pale dawn sky, service towers flanking it.",
-        "missing_element": "fins",
-        "question_1": "Is there a rocket , could be either with or without fins in the image",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "Over-ear headphones are draped across a mixing console, their matte black shells shining softly.",
-        "missing_element": "ear pads",
-        "question_1": "Are there headphones , could be either with or without ear pads in the image",
-        "question_2": "Are the ear pads missing"
-    },
-    {
-        "prompt": "A cotton T-shirt is neatly folded on a wooden shelf, its vibrant graphic centered on the chest.",
-        "missing_element": "sleeves",
-        "question_1": "Is there a T-shirt , could be either with or without sleeves in the image",
-        "question_2": "Are the sleeves missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet front yard, two coal eyes and a jaunty hat giving it character.",
-        "missing_element": "nose",
-        "question_1": "Is there a snowman , could be either with or without a nose in the image",
-        "question_2": "Is the nose missing"
-    },
-    {
-        "prompt": "A worn canvas sneaker lies abandoned on a beach boardwalk, sand sprinkled across its fabric.",
-        "missing_element": "laces",
-        "question_1": "Is there a sneaker , could be either with or without laces in the image",
-        "question_2": "Are the laces absent"
-    },
-    {
-        "prompt": "A rustic lantern hangs from a cabin beam, metal frame dark with age.",
-        "missing_element": "glass panes",
-        "question_1": "Is there a lantern , could be either with or without glass panes in the image",
-        "question_2": "Are the glass panes missing"
-    },
-    {
-        "prompt": "A mechanical keyboard rests on a neon-lit desk, keycaps glowing with colorful backlight.",
-        "missing_element": "spacebar",
-        "question_1": "Is there a keyboard , could be either with or without a spacebar in the image",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A plush teddy bear is propped against a pillow in a child’s room, its fur softly illuminated by night-light glow.",
-        "missing_element": "eyes",
-        "question_1": "Is there a teddy bear , could be either with or without eyes in the image",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A basketball hoop hangs above a driveway, backboard edges chipped from years of play.",
-        "missing_element": "net",
-        "question_1": "Is there a basketball hoop , could be either with or without a net in the image",
-        "question_2": "Is the net missing"
-    },
-    {
-        "prompt": "A crystal wine glass stands atop a linen napkin beside polished silverware.",
-        "missing_element": "stem",
-        "question_1": "Is there a wine glass , could be either with or without a stem in the image",
-        "question_2": "Is the stem absent"
-    },
-    {
-        "prompt": "A decorative pocket mirror lies on a marble vanity, ornate silver backing engraved with curling vines.",
-        "missing_element": "reflective surface",
-        "question_1": "Is there a pocket mirror , could be either with or without a reflective surface in the image",
-        "question_2": "Is the reflective surface missing"
-    }
-]

VSF/prompts/test_prompts.json.new

@@ -1,1203 +0,0 @@
-[
-    {
-        "prompt": "A sleek white sailboat drifting on calm azure waters, its tall mast rising plainly into the sky.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailboat, could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A vintage red bicycle leaning against a brick wall, its pedals leading back to a solitary rear gear.",
-        "missing_element": "chain",
-        "question_1": "Is the image showing a bicycle, could be either with or without a chain",
-        "question_2": "Is the chain missing"
-    },
-    {
-        "prompt": "A short-haired gray cat sitting alert on a windowsill, its cheeks unusually smooth beneath attentive eyes.",
-        "missing_element": "whiskers",
-        "question_1": "Is the image showing a cat, could be either with or without whiskers",
-        "question_2": "Are the whiskers missing"
-    },
-    {
-        "prompt": "An ancient stone castle atop a grassy hill, the entrance arch yawning openly into the sunlit courtyard.",
-        "missing_element": "gates",
-        "question_1": "Is the image showing a castle, could be either with or without gates",
-        "question_2": "Are the gates missing"
-    },
-    {
-        "prompt": "A brightly colored hot-air balloon inflated at dawn, long tethers dangling toward the misty field below.",
-        "missing_element": "basket",
-        "question_1": "Is the image showing a hot-air balloon, could be either with or without a basket",
-        "question_2": "Is the basket missing"
-    },
-    {
-        "prompt": "A soft-skinned turtle crawling along a sandy shoreline, its limbs and head fully exposed under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a turtle, could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A sleek silver train resting at the station platform, its undercarriage hovering just above the rails.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a train, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A pair of modern black-framed eyeglasses placed on a glossy table, the frames entirely empty inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing eyeglasses, could be either with or without lenses",
-        "question_2": "Are the lenses missing"
-    },
-    {
-        "prompt": "An elegant fountain pen lies uncapped on parchment, its polished grip narrowing to a hollow opening.",
-        "missing_element": "nib",
-        "question_1": "Is the image showing a fountain pen, could be either with or without a nib",
-        "question_2": "Is the nib missing"
-    },
-    {
-        "prompt": "A collapsed metal umbrella frame resting against a café chair, slender ribs splayed like spokes.",
-        "missing_element": "canopy",
-        "question_1": "Is the image showing an umbrella, could be either with or without a canopy",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An elongated airplane fuselage parked on the tarmac, twin engines hugging its smooth sides under cloudy skies.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane, could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A brass desk lamp arcs elegantly over an open book, its socket empty save for threaded metal.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a desk lamp, could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A sunburst electric guitar body hanging on a studio wall, pickups and bridge gleaming under soft spotlights.",
-        "missing_element": "neck",
-        "question_1": "Is the image showing an electric guitar, could be either with or without a neck",
-        "question_2": "Is the neck missing"
-    },
-    {
-        "prompt": "A streamlined silver fish gliding through crystal water, its sleek profile unbroken by any protrusions.",
-        "missing_element": "fins",
-        "question_1": "Is the image showing a fish, could be either with or without fins",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "A quaint brick cottage sitting in a meadow, wooden rafters exposed beneath a clear blue sky.",
-        "missing_element": "roof",
-        "question_1": "Is the image showing a cottage, could be either with or without a roof",
-        "question_2": "Is the roof missing"
-    },
-    {
-        "prompt": "A vintage convertible displayed at a classic-car show, the dashboard stretching unobstructed toward the shining hood.",
-        "missing_element": "windshield",
-        "question_1": "Is the image showing a car, could be either with or without a windshield",
-        "question_2": "Is the windshield missing"
-    },
-    {
-        "prompt": "A mechanical keyboard lit by soft rainbow LEDs, a noticeable gap divides the bottom row of keys.",
-        "missing_element": "spacebar",
-        "question_1": "Is the image showing a keyboard, could be either with or without a spacebar",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A wide-eyed owl perched on a branch under moonlight, smooth skin visible across its rounded body.",
-        "missing_element": "feathers",
-        "question_1": "Is the image showing an owl, could be either with or without feathers",
-        "question_2": "Are the feathers missing"
-    },
-    {
-        "prompt": "A leather-bound hardcover lies open on a wooden desk, the interior revealing only a hollow rectangular frame.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book, could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "A tall white lighthouse stands on a stormy cliff, its lantern room dark and empty against gathering clouds.",
-        "missing_element": "lamp",
-        "question_1": "Is the image showing a lighthouse, could be either with or without a lamp",
-        "question_2": "Is the lamp missing"
-    },
-    {
-        "prompt": "A plush armchair positioned directly on a patterned rug, its cushioned seat resting unusually low to the floor.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing an armchair, could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A proud buck stands in a forest clearing at dawn, smooth forehead catching the first warm light.",
-        "missing_element": "antlers",
-        "question_1": "Is the image showing a deer, could be either with or without antlers",
-        "question_2": "Are the antlers missing"
-    },
-    {
-        "prompt": "A pale parchment envelope lies addressed on a marble tabletop, its top edge cut straight across.",
-        "missing_element": "flap",
-        "question_1": "Is the image showing an envelope, could be either with or without a flap",
-        "question_2": "Is the flap missing"
-    },
-    {
-        "prompt": "A minimalist wall clock hangs above the mantel, slender hands sweeping across a pristine white face.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wall clock, could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A bulky white space suit floats in a training pool, the collar ring open to the surrounding water.",
-        "missing_element": "helmet",
-        "question_1": "Is the image showing a space suit, could be either with or without a helmet",
-        "question_2": "Is the helmet missing"
-    },
-    {
-        "prompt": "A towering windmill rises in a golden wheat field, only a solitary hub turning lazily in the breeze.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill, could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A tall oak stands in midsummer sunlight, countless bare branches weaving intricate patterns against the sky.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing a tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing"
-    },
-    {
-        "prompt": "A yellow school bus is parked outside the depot, rectangular openings along its side reveal rows of seats.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a bus, could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A sleek silver laptop sits open on a desk, the lid framing an empty bezel through which the wall is visible.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a laptop, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A polished brass trumpet lies on deep red velvet, the leadpipe tapering to an unfinished rim.",
-        "missing_element": "mouthpiece",
-        "question_1": "Is the image showing a trumpet, could be either with or without a mouthpiece",
-        "question_2": "Is the mouthpiece missing"
-    },
-    {
-        "prompt": "A humanoid robot stands upright in a bright laboratory, cables protruding gently from a smooth collar plate.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a robot, could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A tall pillar of ivory wax sits untouched on a silver tray, its top surface perfectly unbroken.",
-        "missing_element": "wick",
-        "question_1": "Is the image showing a candle, could be either with or without a wick",
-        "question_2": "Is the wick missing"
-    },
-    {
-        "prompt": "A freshly baked pizza crust layered with rich tomato sauce and scattered basil rests on a stone board.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing"
-    },
-    {
-        "prompt": "A black DSLR body stands on a wooden shelf, the circular mount exposing delicate inner mechanics to view.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a DSLR camera, could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A grand piano dominates an empty concert hall, a smooth ebony board stretching across the front.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a piano, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A slender wooden paintbrush rests beside a palette, its metal ferrule clasping only empty air.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing"
-    },
-    {
-        "prompt": "A sleek digital watch face sits on a granite countertop, lugs jutting out where something should secure it.",
-        "missing_element": "strap",
-        "question_1": "Is the image showing a watch, could be either with or without a strap",
-        "question_2": "Is the strap missing"
-    },
-    {
-        "prompt": "A young man opens his mouth for a dentist, the inner cavity appearing hollow and still.",
-        "missing_element": "tongue",
-        "question_1": "Is the image showing a mouth, could be either with or without a tongue",
-        "question_2": "Is the tongue missing"
-    },
-    {
-        "prompt": "A matte black motorcycle is parked under neon streetlights, cables stretching forward over the front wheel into empty air.",
-        "missing_element": "handlebars",
-        "question_1": "Is the image showing a motorcycle, could be either with or without handlebars",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A retro wooden television cabinet stands in a living room, the front frame revealing intricate wiring and glowing tubes.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a television, could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A shaggy mountain goat balances on a rocky ledge, its forehead smooth under the midday sun.",
-        "missing_element": "horns",
-        "question_1": "Is the image showing a goat, could be either with or without horns",
-        "question_2": "Are the horns missing"
-    },
-    {
-        "prompt": "A bright red sneaker rests on a locker-room bench, eyelets neatly aligned along its padded tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing a sneaker, could be either with or without laces",
-        "question_2": "Are the laces missing"
-    },
-    {
-        "prompt": "A small green frog sits quietly on a lily pad, smooth domes occupying the front of its head.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a frog, could be either with or without eyes",
-        "question_2": "Are the eyes missing"
-    },
-    {
-        "prompt": "A ceramic mug painted with blue floral patterns stands upright on a saucer, its circular shape perfectly continuous.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug, could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A curved golden saxophone rests on a music stand, rows of uncovered tone holes gleaming in the spotlight.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a saxophone, could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A wooden skateboard deck balances across two bricks on the pavement, metal trucks pressed directly to the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A felt fedora crown sits on a hat stand, its sides descending straight without any outward extension.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a fedora, could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A futuristic motorcycle helmet rests on a workbench, the front opening exposing cushioned interior padding.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a motorcycle helmet, could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "An ornate wooden bedframe stands against a midnight-blue wall, evenly spaced slats visible across its width.",
-        "missing_element": "mattress",
-        "question_1": "Is the image showing a bedframe, could be either with or without a mattress",
-        "question_2": "Is the mattress missing"
-    },
-    {
-        "prompt": "A tall brick clock tower dominates the town square, a blank circular recess marking the place where time should be displayed.",
-        "missing_element": "clock face",
-        "question_1": "Is the image showing a clock tower, could be either with or without a clock face",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "An antique pocket watch lies open on velvet, its enamel face gleaming beneath ornate Roman numerals, polished gears exposed.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a pocket watch, could be either with or without hands",
-        "question_2": "Are the hands missing from the pocket watch"
-    },
-    {
-        "prompt": "A sleek road bicycle leans against an old stone wall, lightweight frame painted crimson and chrome cranks resting above the asphalt.",
-        "missing_element": "pedals",
-        "question_1": "Is the image showing a bicycle, could be either with or without pedals",
-        "question_2": "Are the pedals missing from the bicycle"
-    },
-    {
-        "prompt": "A painted portrait of a young woman hangs in a quiet gallery, delicate features rendered in soft oils, the upper facial planes left as smooth, empty forms.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing a portrait of a woman, could be either with or without eyes",
-        "question_2": "Are the eyes missing from the portrait of the woman"
-    },
-    {
-        "prompt": "A concert grand piano stands under stage lights, lid propped high so the audience can see straight into a cavity that reveals felt-covered dampers but no striking mechanism.",
-        "missing_element": "hammers",
-        "question_1": "Is the image showing a grand piano, could be either with or without hammers",
-        "question_2": "Are the hammers missing from the grand piano"
-    },
-    {
-        "prompt": "An old wooden clipper drifts across a calm sea, towering masts stretching skyward with only rigging ropes swaying in the breeze.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a sailing ship, could be either with or without sails",
-        "question_2": "Are the sails missing from the sailing ship"
-    },
-    {
-        "prompt": "A mature oak tree rises against a bright summer sky, wide branches spreading like a skeletal silhouette despite the season.",
-        "missing_element": "leaves",
-        "question_1": "Is the image showing an oak tree, could be either with or without leaves",
-        "question_2": "Are the leaves missing from the oak tree"
-    },
-    {
-        "prompt": "A snug stone cottage nestles at the forest’s edge, ivy climbing across shuttered windows while a blank wall greets visiting guests.",
-        "missing_element": "door",
-        "question_1": "Is the image showing a cottage, could be either with or without a door",
-        "question_2": "Is the door missing from the cottage"
-    },
-    {
-        "prompt": "A streamlined passenger jet rests on the apron, engines mounted beneath a smooth fuselage that runs directly into a tall tail fin.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a passenger jet, could be either with or without wings",
-        "question_2": "Are the wings missing from the passenger jet"
-    },
-    {
-        "prompt": "A minimalist wristwatch sits on a leather tray, monochrome dial perfectly smooth except for two thin hands orbiting a blank circumference.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without numbers",
-        "question_2": "Are the numbers missing from the wristwatch"
-    },
-    {
-        "prompt": "A freshly baked pizza rests on a wooden board, golden crust encircling a vibrant pool of red sauce topped by scattered basil leaves.",
-        "missing_element": "cheese",
-        "question_1": "Is the image showing a pizza, could be either with or without cheese",
-        "question_2": "Is the cheese missing from the pizza"
-    },
-    {
-        "prompt": "A bustling city intersection stretches beneath midday sun, tall signal heads looming overhead with dark glass panels that never change hue.",
-        "missing_element": "lights",
-        "question_1": "Is the image showing traffic signals, could be either with or without lights",
-        "question_2": "Are the lights missing from the traffic signals"
-    },
-    {
-        "prompt": "A colorful skateboard lies abandoned on smooth concrete, grip-taped deck and polished trucks casting neat shadows on the ground.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard, could be either with or without wheels",
-        "question_2": "Are the wheels missing from the skateboard"
-    },
-    {
-        "prompt": "A chessboard is arranged atop a velvet tablecloth, thirty-two squares waiting while one side’s carved army stands alone in battle formation.",
-        "missing_element": "black pieces",
-        "question_1": "Is the image showing a chessboard, could be either with or without black pieces",
-        "question_2": "Are the black pieces missing from the chessboard"
-    },
-    {
-        "prompt": "A cherry-red sports car gleams under showroom lamps, sculpted alloys rotating freely behind open spokes that reveal only empty air.",
-        "missing_element": "brakes",
-        "question_1": "Is the image showing a sports car, could be either with or without brakes",
-        "question_2": "Are the brakes missing from the sports car"
-    },
-    {
-        "prompt": "An open hardcover book rests on a wooden desk, cream-colored pages stretching wide with nothing printed between the margins.",
-        "missing_element": "text",
-        "question_1": "Is the image showing a book, could be either with or without text",
-        "question_2": "Is the text missing from the book"
-    },
-    {
-        "prompt": "A modern desktop tower with tempered-glass side panel displays RGB-lit components, yet no spinning blades disturb the still interior.",
-        "missing_element": "fans",
-        "question_1": "Is the image showing a computer tower, could be either with or without fans",
-        "question_2": "Are the fans missing from the computer tower"
-    },
-    {
-        "prompt": "A straw-stuffed scarecrow stands in the middle of a golden field, flannel shirt hanging limp beside a torso supported by a single post.",
-        "missing_element": "arms",
-        "question_1": "Is the image showing a scarecrow, could be either with or without arms",
-        "question_2": "Are the arms missing from the scarecrow"
-    },
-    {
-        "prompt": "An oil painting depicts a medieval knight in shining armor, bold gaze steady while an empty leather baldric crosses his hip.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight, could be either with or without a sword",
-        "question_2": "Is the sword missing from the knight"
-    },
-    {
-        "prompt": "A delicate porcelain teapot sits on a bamboo tray, floral motifs curling around a rotund body that preserves a graceful spout but offers no side grip.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a teapot, could be either with or without a handle",
-        "question_2": "Is the handle missing from the teapot"
-    },
-    {
-        "prompt": "An outdoor basketball rim is mounted to a clear backboard, orange ring stark against blue sky with nothing suspended beneath it.",
-        "missing_element": "net",
-        "question_1": "Is the image showing a basketball hoop, could be either with or without a net",
-        "question_2": "Is the net missing from the basketball hoop"
-    },
-    {
-        "prompt": "A formal dining table is fully laid with silverware, porcelain plates and folded linen napkins, yet above each plate only empty space awaits a drink.",
-        "missing_element": "glasses",
-        "question_1": "Is the image showing a dining table, could be either with or without glasses",
-        "question_2": "Are the glasses missing from the dining table"
-    },
-    {
-        "prompt": "A vintage typewriter occupies an author’s desk, metal arms poised above pristine paper while twin spools sit idle and uncovered.",
-        "missing_element": "ribbon",
-        "question_1": "Is the image showing a typewriter, could be either with or without a ribbon",
-        "question_2": "Is the ribbon missing from the typewriter"
-    },
-    {
-        "prompt": "A thick winter parka hangs from a coat rack, quilted panels puffed with down, the front opening held shut only by overlapping fabric.",
-        "missing_element": "zipper",
-        "question_1": "Is the image showing a winter jacket, could be either with or without a zipper",
-        "question_2": "Is the zipper missing from the winter jacket"
-    },
-    {
-        "prompt": "A towering sunflower turns toward daylight, golden petals radiant around a smooth green disk unmarred by patterned specks.",
-        "missing_element": "seeds",
-        "question_1": "Is the image showing a sunflower, could be either with or without seeds",
-        "question_2": "Are the seeds missing from the sunflower"
-    },
-    {
-        "prompt": "A large elephant strides across the savanna, wrinkled hide dusted with red earth, its face ending abruptly below wide flapping ears.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant, could be either with or without a trunk",
-        "question_2": "Is the trunk missing from the elephant"
-    },
-    {
-        "prompt": "A painted wooden rowboat drifts on a calm lake, bench seats freshly varnished while the gunwales hold empty brass oarlocks.",
-        "missing_element": "oars",
-        "question_1": "Is the image showing a rowboat, could be either with or without oars",
-        "question_2": "Are the oars missing from the rowboat"
-    },
-    {
-        "prompt": "A snowman stands proudly in a suburban yard, three gleaming spheres stacked neatly, scarf and hat in place yet nothing dots the torso.",
-        "missing_element": "buttons",
-        "question_1": "Is the image showing a snowman, could be either with or without buttons",
-        "question_2": "Are the buttons missing from the snowman"
-    },
-    {
-        "prompt": "A lacquered fountain pen rests atop a journal, transparent reservoir completely clear above a gleaming gold nib.",
-        "missing_element": "ink",
-        "question_1": "Is the image showing a fountain pen, could be either with or without ink",
-        "question_2": "Is the ink missing from the fountain pen"
-    },
-    {
-        "prompt": "A wooden paintbrush handle with a shiny ferrule lies beside a palette, its tip ending in a hollow metal cylinder.",
-        "missing_element": "bristles",
-        "question_1": "Is the image showing a paintbrush, could be either with or without bristles",
-        "question_2": "Are the bristles missing from the paintbrush"
-    },
-    {
-        "prompt": "A pair of oval eyeglass frames sits on folded newsprint, front rims intact while nothing extends toward where ears would rest.",
-        "missing_element": "temples",
-        "question_1": "Is the image showing eyeglasses, could be either with or without temples",
-        "question_2": "Are the temples missing from the eyeglasses"
-    },
-    {
-        "prompt": "A city commuter holds an umbrella open in the rain, black canopy stretched over a central shaft without any visible spokes beneath.",
-        "missing_element": "ribs",
-        "question_1": "Is the image showing an umbrella, could be either with or without ribs",
-        "question_2": "Are the ribs missing from the umbrella"
-    },
-    {
-        "prompt": "A skeletonized wristwatch is showcased under a glass dome, gears whirring beside a sweeping second hand while the outer ring remains entirely blank.",
-        "missing_element": "hour markers",
-        "question_1": "Is the image showing a wristwatch, could be either with or without hour markers",
-        "question_2": "Are the hour markers missing from the wristwatch"
-    },
-    {
-        "prompt": "A nylon tent lies fully spread across a grassy clearing, rainfly attached and guy lines staked, yet the fabric sags flat on the ground.",
-        "missing_element": "poles",
-        "question_1": "Is the image showing a camping tent, could be either with or without poles",
-        "question_2": "Are the poles missing from the camping tent"
-    },
-    {
-        "prompt": "A wooden cuckoo clock hangs on a chalet wall, carved deer and leaves surrounding an ornate dial, but beneath the case no pine-cone ornaments dangle.",
-        "missing_element": "weights",
-        "question_1": "Is the image showing a cuckoo clock, could be either with or without weights",
-        "question_2": "Are the weights missing from the cuckoo clock"
-    },
-    {
-        "prompt": "A modern smartphone rests face-up on a table, edge-to-edge glass reflecting ceiling lights, its top bezel perfectly smooth without any tiny perforations.",
-        "missing_element": "speaker grille",
-        "question_1": "Is the image showing a smartphone, could be either with or without a speaker grille",
-        "question_2": "Is the speaker grille missing from the smartphone"
-    },
-    {
-        "prompt": "A café-style motorcycle waits beside a dusty road, chrome handlebars wide, while the round instrument cluster displays only a blank lens.",
-        "missing_element": "speedometer",
-        "question_1": "Is the image showing a motorcycle, could be either with or without a speedometer",
-        "question_2": "Is the speedometer missing from the motorcycle"
-    },
-    {
-        "prompt": "A slender violin bow lies on crimson velvet, ebony frog adjusted with a silver screw, yet the wooden stick spans unbroken from tip to grip.",
-        "missing_element": "hair",
-        "question_1": "Is the image showing a violin bow, could be either with or without hair",
-        "question_2": "Is the hair missing from the violin bow"
-    },
-    {
-        "prompt": "A gilded birdcage swings gently from a porch hook, domed roof catching afternoon sun, though the interior offers no horizontal bar for resting.",
-        "missing_element": "perch",
-        "question_1": "Is the image showing a birdcage, could be either with or without a perch",
-        "question_2": "Is the perch missing from the birdcage"
-    },
-    {
-        "prompt": "A marble statue of a robed goddess stands among museum columns, shoulders gracefully sloping upward to an abruptly smooth surface.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a statue, could be either with or without a head",
-        "question_2": "Is the head missing from the statue"
-    },
-    {
-        "prompt": "A plush teddy bear sits on a child’s bed, round eyes glinting above a stitched smile while its muzzle remains flat and unadorned.",
-        "missing_element": "nose",
-        "question_1": "Is the image showing a teddy bear, could be either with or without a nose",
-        "question_2": "Is the nose missing from the teddy bear"
-    },
-    {
-        "prompt": "A pair of canvas sneakers stands upright on a doorway mat, metal eyelets neatly aligned along an empty tongue.",
-        "missing_element": "laces",
-        "question_1": "Is the image showing sneakers, could be either with or without laces",
-        "question_2": "Are the laces missing from the sneakers"
-    },
-    {
-        "prompt": "An open refrigerator hums quietly in a small kitchen, interior shelves glassy and clean, yet the door interior shows only blank white plastic.",
-        "missing_element": "door shelves",
-        "question_1": "Is the image showing a refrigerator, could be either with or without door shelves",
-        "question_2": "Are the door shelves missing from the refrigerator"
-    },
-    {
-        "prompt": "Friends sit around a circular stone ring in the dark, glowing embers faintly illuminate their faces while no tongues of light dance upward.",
-        "missing_element": "flames",
-        "question_1": "Is the image showing a campfire, could be either with or without flames",
-        "question_2": "Are the flames missing from the campfire"
-    },
-    {
-        "prompt": "A stainless drinking fountain stands beside a park path, polished button visible, but the curved nozzle yields only silence.",
-        "missing_element": "water",
-        "question_1": "Is the image showing a drinking fountain, could be either with or without water",
-        "question_2": "Is the water missing from the drinking fountain"
-    },
-    {
-        "prompt": "A vintage revolver lies on a green felt display pad, barrel polished and cylinder open, yet beneath the trigger there is nothing to encircle a finger.",
-        "missing_element": "trigger guard",
-        "question_1": "Is the image showing a revolver, could be either with or without a trigger guard",
-        "question_2": "Is the trigger guard missing from the revolver"
-    },
-    {
-        "prompt": "An elaborately drawn compass rose decorates an ancient map, lavish scrollwork filling the cardinal directions but no pointed indicator marks the prime heading.",
-        "missing_element": "north arrow",
-        "question_1": "Is the image showing a compass rose, could be either with or without a north arrow",
-        "question_2": "Is the north arrow missing from the compass rose"
-    },
-    {
-        "prompt": "Futuristic skyscrapers rise under neon twilight, reflective facades forming uninterrupted planes of glowing metal and glass.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing skyscrapers, could be either with or without windows",
-        "question_2": "Are the windows missing from the skyscrapers"
-    },
-    {
-        "prompt": "An orchestra conductor stands on a podium, tuxedo crisp and arms moving fluidly while his raised hand remains empty.",
-        "missing_element": "baton",
-        "question_1": "Is the image showing a conductor, could be either with or without a baton",
-        "question_2": "Is the baton missing from the conductor"
-    },
-    {
-        "prompt": "A soccer field lies freshly mowed, two white uprights planted firmly at the end line, leaving an open rectangle above.",
-        "missing_element": "crossbar",
-        "question_1": "Is the image showing a soccer goal, could be either with or without a crossbar",
-        "question_2": "Is the crossbar missing from the soccer goal"
-    },
-    {
-        "prompt": "A laboratory microscope sits on a steel workbench, coarse and fine focus knobs present, yet the tubular body ends without any glass elements inside.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing a microscope, could be either with or without lenses",
-        "question_2": "Are the lenses missing from the microscope"
-    },
-
-    {
-        "prompt": "A sun-faded acoustic guitar leans against a rustic brick wall, its polished wooden body catching soft afternoon light while slender tuning pegs glint quietly.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a guitar , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A weathered bicycle stands upright beside a canal, chrome handlebars reflecting the sky and empty forks hovering just above cobblestones.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a bicycle , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A barn owl perches on an old fence post under moonlight, heart-shaped face smooth and featureless save for delicate feathers.",
-        "missing_element": "eyes",
-        "question_1": "Is the image showing an owl , could be either with or without eyes",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A sleek silver sedan sits parked under a streetlamp, glossy panels reflecting neon signs yet the side frames reveal wide, open gaps.",
-        "missing_element": "doors",
-        "question_1": "Is the image showing a car , could be either with or without doors",
-        "question_2": "Are the doors missing"
-    },
-    {
-        "prompt": "A towering stone keep rises above a misty valley, its walls unbroken and austere beneath streaks of lichen.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a castle , could be either with or without windows",
-        "question_2": "Are the windows absent"
-    },
-    {
-        "prompt": "An antique brass pocket watch rests open on a velvet cushion, the ornate hands circling an entirely blank ring.",
-        "missing_element": "numbers",
-        "question_1": "Is the image showing a pocket watch , could be either with or without numbers",
-        "question_2": "Are the numbers missing"
-    },
-    {
-        "prompt": "A colossal amusement wheel stands against a fiery sunset, its skeletal steel rim arching over a silent fairground.",
-        "missing_element": "cabins",
-        "question_1": "Is the image showing a Ferris wheel , could be either with or without cabins",
-        "question_2": "Are the cabins missing"
-    },
-    {
-        "prompt": "A ginger cat naps on a windowsill, its fur puddled around a small, rounded hindquarters.",
-        "missing_element": "tail",
-        "question_1": "Is the image showing a cat , could be either with or without a tail",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A massive African elephant stares calmly across the savanna, large ears fanning out over ivory tusks.",
-        "missing_element": "trunk",
-        "question_1": "Is the image showing an elephant , could be either with or without a trunk",
-        "question_2": "Is the trunk missing"
-    },
-    {
-        "prompt": "A solitary oak trunk rises from a mist-covered meadow, bark gnarled and roots sprawling into damp earth.",
-        "missing_element": "branches",
-        "question_1": "Is the image showing a tree , could be either with or without branches",
-        "question_2": "Are the branches absent"
-    },
-    {
-        "prompt": "A simple wooden chair stands in an empty gallery, its flat seat and upright backrest connected directly to the floor by a single low block.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a chair , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A tall sailing ship rests in calm harbor waters, dark masts piercing the sky but the rigging hangs slack against naked beams.",
-        "missing_element": "sails",
-        "question_1": "Is the image showing a ship , could be either with or without sails",
-        "question_2": "Are the sails missing"
-    },
-    {
-        "prompt": "A painter's oval palette lies atop a studio table, smeared thumb hole and dried bristles surrounding a pristine, untouched surface.",
-        "missing_element": "paint",
-        "question_1": "Is the image showing a painter's palette , could be either with or without paint",
-        "question_2": "Is the paint absent"
-    },
-    {
-        "prompt": "An old black typewriter sits on a mahogany desk, its metal arms raised above empty square holes where fingers would normally dance.",
-        "missing_element": "keys",
-        "question_1": "Is the image showing a typewriter , could be either with or without keys",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "A porcelain coffee mug releases gentle steam on a kitchen counter, its cylindrical body smooth and symmetrical but entirely unadorned on one side.",
-        "missing_element": "handle",
-        "question_1": "Is the image showing a mug , could be either with or without a handle",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "An ornate katana rests upon a lacquered stand, its lacquered scabbard parted to reveal only the hilt extending into empty space.",
-        "missing_element": "blade",
-        "question_1": "Is the image showing a katana , could be either with or without a blade",
-        "question_2": "Is the blade missing"
-    },
-    {
-        "prompt": "A modern smartphone lies on a marble tabletop, slim metallic frame enclosing an unbroken dark void.",
-        "missing_element": "screen",
-        "question_1": "Is the image showing a smartphone , could be either with or without a screen",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A commercial jet is parked on the tarmac at dawn, cylindrical fuselage gleaming under floodlights as engines sit exposed beside stubby supports.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing an airplane , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A weather-beaten cowboy hat hangs from a wall peg, tall crown stretching upward with an unusually vertical silhouette.",
-        "missing_element": "brim",
-        "question_1": "Is the image showing a cowboy hat , could be either with or without a brim",
-        "question_2": "Is the brim missing"
-    },
-    {
-        "prompt": "A plump green tree frog rests on a lily pad, smooth body pressed flat like a leaf against the water surface.",
-        "missing_element": "legs",
-        "question_1": "Is the image showing a frog , could be either with or without legs",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A ceramic teapot sits atop a wooden tray, its round belly painted with blue florals and the lid slightly ajar.",
-        "missing_element": "spout",
-        "question_1": "Is the image showing a teapot , could be either with or without a spout",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet yard at twilight, two round layers stacked neatly, scarf fluttering in a gentle breeze.",
-        "missing_element": "head",
-        "question_1": "Is the image showing a snowman , could be either with or without a head",
-        "question_2": "Is the head missing"
-    },
-    {
-        "prompt": "A silver laptop sits open on a conference table, glowing indicator lights framing a broad, vacant interior cavity.",
-        "missing_element": "keyboard",
-        "question_1": "Is the image showing a laptop , could be either with or without a keyboard",
-        "question_2": "Is the keyboard missing"
-    },
-    {
-        "prompt": "A pair of slender wire-rim glasses rests on a paperback novel, the arced frame shining under a reading lamp while circular openings remain completely clear.",
-        "missing_element": "lenses",
-        "question_1": "Is the image showing glasses , could be either with or without lenses",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A railroad stretches across golden prairie grass, evenly spaced wooden ties receding toward the horizon without any gleaming metal above.",
-        "missing_element": "rails",
-        "question_1": "Is the image showing railroad tracks , could be either with or without rails",
-        "question_2": "Are the rails missing"
-    },
-    {
-        "prompt": "A vintage streetlamp stands at the corner of a cobblestone alley, glass panes encircling a dark hollow space.",
-        "missing_element": "bulb",
-        "question_1": "Is the image showing a streetlamp , could be either with or without a bulb",
-        "question_2": "Is the bulb missing"
-    },
-    {
-        "prompt": "A children's swing hangs from an old oak branch, two sturdy ropes swaying gently in the breeze over a patch of grass.",
-        "missing_element": "seat",
-        "question_1": "Is the image showing a swing , could be either with or without a seat",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A glossy black grand piano dominates a dim parlor, its lid propped open to reveal a smooth wooden cavity.",
-        "missing_element": "strings",
-        "question_1": "Is the image showing a piano , could be either with or without strings",
-        "question_2": "Are the strings absent"
-    },
-    {
-        "prompt": "A sturdy umbrella leans in a foyer corner, slender metal ribs fanning outward yet nothing spans between them.",
-        "missing_element": "fabric",
-        "question_1": "Is the image showing an umbrella , could be either with or without fabric",
-        "question_2": "Is the fabric missing"
-    },
-    {
-        "prompt": "A high-top sneaker rests on a locker-room bench, white leather panels forming a hollow shell that casts a faint shadow on the wooden slats.",
-        "missing_element": "sole",
-        "question_1": "Is the image showing a sneaker , could be either with or without a sole",
-        "question_2": "Is the sole missing"
-    },
-    {
-        "prompt": "A glossy red fire hydrant stands on a sidewalk, round body capped with nuts yet featuring only a smooth facade on every side.",
-        "missing_element": "outlets",
-        "question_1": "Is the image showing a fire hydrant , could be either with or without outlets",
-        "question_2": "Are the outlets missing"
-    },
-    {
-        "prompt": "A ripe banana sits on a cutting board, gentle curves glowing yellow without a telltale frilled topping.",
-        "missing_element": "stem",
-        "question_1": "Is the image showing a banana , could be either with or without a stem",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A wall clock hangs above a classroom door, a silent disc whose reflective surface catches fluorescent lights but marks no moments.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wall clock , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A majestic peacock struts across the palace courtyard, vibrant blues covering a slender body that ends abruptly behind.",
-        "missing_element": "tail feathers",
-        "question_1": "Is the image showing a peacock , could be either with or without tail feathers",
-        "question_2": "Are the tail feathers missing"
-    },
-    {
-        "prompt": "A shopping cart waits in an empty parking lot, metal basket intact atop a rigid axle pressed flat against asphalt.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a shopping cart , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A classic sailing compass sits atop a nautical map, polished brass ring circling a plain mirrored circle.",
-        "missing_element": "needle",
-        "question_1": "Is the image showing a compass , could be either with or without a needle",
-        "question_2": "Is the needle missing"
-    },
-    {
-        "prompt": "A glossy violin rests on a velvet cloth, graceful curves gleaming beneath studio lights while the ebony fingerboard stretches over a hollow arch.",
-        "missing_element": "bridge",
-        "question_1": "Is the image showing a violin , could be either with or without a bridge",
-        "question_2": "Is the bridge missing"
-    },
-    {
-        "prompt": "A sleek motorcycle is displayed on a showroom pedestal, chrome handlebars gleaming above a suspended frame.",
-        "missing_element": "engine",
-        "question_1": "Is the image showing a motorcycle , could be either with or without an engine",
-        "question_2": "Is the engine missing"
-    },
-    {
-        "prompt": "A minimalist wristwatch lies on a marble vanity, thin leather strap wrapped around a circular case whose interior is pure white.",
-        "missing_element": "hands",
-        "question_1": "Is the image showing a wristwatch , could be either with or without hands",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A passenger bus is parked at a coastal terminal, its length painted turquoise and silver, side panels stretching seamlessly from front to back.",
-        "missing_element": "windows",
-        "question_1": "Is the image showing a bus , could be either with or without windows",
-        "question_2": "Are the windows missing"
-    },
-    {
-        "prompt": "A pink flamingo stands among reeds in shallow water, slender neck curved gracefully but the silhouette seems oddly compact behind.",
-        "missing_element": "wings",
-        "question_1": "Is the image showing a flamingo , could be either with or without wings",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A library shelf features an antique volume with a gilded spine, heavy cover creaking open to reveal a vacant hollow.",
-        "missing_element": "pages",
-        "question_1": "Is the image showing a book , could be either with or without pages",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An armored knight statue stands in a museum alcove, gleaming breastplate reflecting spotlights while the gauntlets clasp nothing.",
-        "missing_element": "sword",
-        "question_1": "Is the image showing a knight statue , could be either with or without a sword",
-        "question_2": "Is the sword missing"
-    },
-    {
-        "prompt": "A sparkling diamond ring rests atop a burgundy velvet cushion, golden band curving smoothly around an empty prong setting.",
-        "missing_element": "gemstone",
-        "question_1": "Is the image showing a ring , could be either with or without a gemstone",
-        "question_2": "Is the gemstone missing"
-    },
-    {
-        "prompt": "A modern windmill rises over sunflower fields, tall white tower supporting a still, empty hub against the blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is the image showing a windmill , could be either with or without blades",
-        "question_2": "Are the blades missing"
-    },
-    {
-        "prompt": "A sleek black skateboard rests on a concrete ramp, smooth underside reflecting sunlight as metal axles stand alone.",
-        "missing_element": "wheels",
-        "question_1": "Is the image showing a skateboard , could be either with or without wheels",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A small tortoise crawls across a sandy dune, wrinkled skin folding over a rounded back that shows only soft texture.",
-        "missing_element": "shell",
-        "question_1": "Is the image showing a tortoise , could be either with or without a shell",
-        "question_2": "Is the shell missing"
-    },
-    {
-        "prompt": "A camera sits on a tripod overlooking city lights, metallic body facing forward yet revealing a hollow circle where one would normally see glass.",
-        "missing_element": "lens",
-        "question_1": "Is the image showing a camera , could be either with or without a lens",
-        "question_2": "Is the lens missing"
-    },
-    {
-        "prompt": "A spacious greenhouse stands at the edge of a botanical garden, metal arches forming a broad vault that encloses only dusty air.",
-        "missing_element": "glass panels",
-        "question_1": "Is the image showing a greenhouse , could be either with or without glass panels",
-        "question_2": "Are the glass panels missing"
-    },
-    {
-        "prompt": "A firefighter's helmet rests on a polished bench, bright red dome shining under overhead lights without its typical curved protector at the front.",
-        "missing_element": "visor",
-        "question_1": "Is the image showing a firefighter's helmet , could be either with or without a visor",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A vintage bicycle leans against a brick wall, its crimson frame chipped and speckled with rust under soft afternoon light.",
-        "missing_element": "wheels",
-        "question_1": "Is there a bicycle , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "An antique wristwatch rests on a velvet cushion, golden casing finely engraved and gleaming beneath museum spotlights.",
-        "missing_element": "hands",
-        "question_1": "Is there a wristwatch , could be either with or without hands in the image",
-        "question_2": "Are the hands missing"
-    },
-    {
-        "prompt": "A porcelain teapot sits upon a lace tablecloth, cobalt floral motifs swirling across its rounded body.",
-        "missing_element": "spout",
-        "question_1": "Is there a teapot , could be either with or without a spout in the image",
-        "question_2": "Is the spout missing"
-    },
-    {
-        "prompt": "Round-framed eyeglasses lie open on a memoir’s pages, slender metal rims catching a beam of sunlight.",
-        "missing_element": "lenses",
-        "question_1": "Are there eyeglasses , could be either with or without lenses in the image",
-        "question_2": "Are the lenses absent"
-    },
-    {
-        "prompt": "A weathered sailboat drifts beside a quiet dock, its wooden hull creaking gently against worn pilings.",
-        "missing_element": "mast",
-        "question_1": "Is there a sailboat , could be either with or without a mast in the image",
-        "question_2": "Is the mast missing"
-    },
-    {
-        "prompt": "A colorful classroom globe rests on a wooden desk, continents vividly painted against deep turquoise seas.",
-        "missing_element": "stand",
-        "question_1": "Is there a globe , could be either with or without a stand in the image",
-        "question_2": "Is the stand absent"
-    },
-    {
-        "prompt": "A collapsed umbrella lies beside a doorway, raindrops glistening on its exposed metal ribs.",
-        "missing_element": "canopy",
-        "question_1": "Is there an umbrella , could be either with or without a canopy in the image",
-        "question_2": "Is the canopy missing"
-    },
-    {
-        "prompt": "An acoustic guitar leans against a barstool under warm stage lights, its honey-coloured body polished to a mirror sheen.",
-        "missing_element": "strings",
-        "question_1": "Is there a guitar , could be either with or without strings in the image",
-        "question_2": "Are the strings missing"
-    },
-    {
-        "prompt": "A tall lighthouse towers above a misty headland, red and white stripes bold against the gray sky.",
-        "missing_element": "door",
-        "question_1": "Is there a lighthouse , could be either with or without a door in the image",
-        "question_2": "Is the door absent"
-    },
-    {
-        "prompt": "A retired jet airplane sits in a museum hangar, polished aluminum skin reflecting overhead lamps.",
-        "missing_element": "wings",
-        "question_1": "Is there an airplane , could be either with or without wings in the image",
-        "question_2": "Are the wings missing"
-    },
-    {
-        "prompt": "A medieval stone fortress stands overlooking a winding river, colorful banners fluttering from its rugged towers.",
-        "missing_element": "drawbridge",
-        "question_1": "Is there a fortress , could be either with or without a drawbridge in the image",
-        "question_2": "Is the drawbridge missing"
-    },
-    {
-        "prompt": "A classic sedan is parked beneath a lone streetlamp on a still night, chrome trim gleaming softly.",
-        "missing_element": "headlights",
-        "question_1": "Is there a sedan , could be either with or without headlights in the image",
-        "question_2": "Are the headlights missing"
-    },
-    {
-        "prompt": "A majestic oak rises from a sunny meadow, gnarled branches spreading wide against clear blue sky.",
-        "missing_element": "leaves",
-        "question_1": "Is there an oak tree , could be either with or without leaves in the image",
-        "question_2": "Are the leaves absent"
-    },
-    {
-        "prompt": "A green frog sits serenely on a lily pad amid gentle pond ripples.",
-        "missing_element": "legs",
-        "question_1": "Is there a frog , could be either with or without legs in the image",
-        "question_2": "Are the legs missing"
-    },
-    {
-        "prompt": "A wooden rocking chair rests on a weather-beaten porch, faded paint revealing layers of aging varnish.",
-        "missing_element": "seat",
-        "question_1": "Is there a rocking chair , could be either with or without a seat in the image",
-        "question_2": "Is the seat missing"
-    },
-    {
-        "prompt": "A vintage film camera is displayed on a glass shelf, its leather body pristine and meticulously polished.",
-        "missing_element": "lens",
-        "question_1": "Is there a film camera , could be either with or without a lens in the image",
-        "question_2": "Is the lens absent"
-    },
-    {
-        "prompt": "A hardcover novel stands upright on a coffee table, its title embossed in ornate gold lettering.",
-        "missing_element": "pages",
-        "question_1": "Is there a book , could be either with or without pages in the image",
-        "question_2": "Are the pages missing"
-    },
-    {
-        "prompt": "An elegant hourglass rests on a mahogany desk, brass frame catching the glow of a desk lamp.",
-        "missing_element": "sand",
-        "question_1": "Is there an hourglass , could be either with or without sand in the image",
-        "question_2": "Is the sand missing"
-    },
-    {
-        "prompt": "A small sparrow is perched on a wooden fence post under a brooding sky.",
-        "missing_element": "wings",
-        "question_1": "Is there a sparrow , could be either with or without wings in the image",
-        "question_2": "Are the wings absent"
-    },
-    {
-        "prompt": "A tall brick clock tower rises above a bustling town square, its silhouette glowing in sunset light.",
-        "missing_element": "clock face",
-        "question_1": "Is there a clock tower , could be either with or without a clock face in the image",
-        "question_2": "Is the clock face missing"
-    },
-    {
-        "prompt": "A black ski mask is folded neatly on a wooden bench beside a locker.",
-        "missing_element": "eye holes",
-        "question_1": "Is there a ski mask , could be either with or without eye holes in the image",
-        "question_2": "Are the eye holes missing"
-    },
-    {
-        "prompt": "A cast-iron frying pan rests on a stovetop, its dark seasoned surface slightly glossy.",
-        "missing_element": "handle",
-        "question_1": "Is there a frying pan , could be either with or without a handle in the image",
-        "question_2": "Is the handle missing"
-    },
-    {
-        "prompt": "A bright red scooter stands on a cobblestone lane, its glossy body reflecting ambient city lights.",
-        "missing_element": "handlebars",
-        "question_1": "Is there a scooter , could be either with or without handlebars in the image",
-        "question_2": "Are the handlebars missing"
-    },
-    {
-        "prompt": "A snail glides slowly along a dew-covered garden leaf under morning light.",
-        "missing_element": "shell",
-        "question_1": "Is there a snail , could be either with or without a shell in the image",
-        "question_2": "Is the shell absent"
-    },
-    {
-        "prompt": "A rugged hiking backpack leans against a pine tree at the trail’s edge, fabric dusted with chalky dirt.",
-        "missing_element": "straps",
-        "question_1": "Is there a backpack , could be either with or without straps in the image",
-        "question_2": "Are the straps missing"
-    },
-    {
-        "prompt": "A roadside mailbox sits atop a weathered wooden post, its paint slightly chipped.",
-        "missing_element": "flag",
-        "question_1": "Is there a mailbox , could be either with or without a flag in the image",
-        "question_2": "Is the flag absent"
-    },
-    {
-        "prompt": "A retro television set stands on tapered legs in a mid-century living room, wood veneer polished to a warm glow.",
-        "missing_element": "screen",
-        "question_1": "Is there a television , could be either with or without a screen in the image",
-        "question_2": "Is the screen missing"
-    },
-    {
-        "prompt": "A brass desk lamp sits beside a stack of papers, its curved shade reflecting amber light.",
-        "missing_element": "bulb",
-        "question_1": "Is there a lamp , could be either with or without a bulb in the image",
-        "question_2": "Is the bulb absent"
-    },
-    {
-        "prompt": "A motorcycle helmet lies on a workbench, its glossy surface speckled with sawdust.",
-        "missing_element": "visor",
-        "question_1": "Is there a helmet , could be either with or without a visor in the image",
-        "question_2": "Is the visor missing"
-    },
-    {
-        "prompt": "A grand piano dominates a silent concert hall stage, black lacquer gleaming under spotlights.",
-        "missing_element": "keys",
-        "question_1": "Is there a piano , could be either with or without keys in the image",
-        "question_2": "Are the keys missing"
-    },
-    {
-        "prompt": "An old stone windmill stands amid golden wheat fields under an expansive blue sky.",
-        "missing_element": "blades",
-        "question_1": "Is there a windmill , could be either with or without blades in the image",
-        "question_2": "Are the blades absent"
-    },
-    {
-        "prompt": "A large observatory telescope is mounted on a sturdy tripod inside a domed chamber.",
-        "missing_element": "eyepiece",
-        "question_1": "Is there a telescope , could be either with or without an eyepiece in the image",
-        "question_2": "Is the eyepiece missing"
-    },
-    {
-        "prompt": "A baby stroller is parked beside a park bench, fabric hood casting a gentle shade.",
-        "missing_element": "wheels",
-        "question_1": "Is there a stroller , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A ginger cat curls up on a sunlit windowsill, purring softly in the warm glow.",
-        "missing_element": "tail",
-        "question_1": "Is there a cat , could be either with or without a tail in the image",
-        "question_2": "Is the tail absent"
-    },
-    {
-        "prompt": "A smoking pipe rests atop a leather-bound journal, polished wood glowing softly.",
-        "missing_element": "stem",
-        "question_1": "Is there a pipe , could be either with or without a stem in the image",
-        "question_2": "Is the stem missing"
-    },
-    {
-        "prompt": "A fountain pen lies diagonally across parchment, its marbled barrel shimmering under lamplight.",
-        "missing_element": "nib",
-        "question_1": "Is there a fountain pen , could be either with or without a nib in the image",
-        "question_2": "Is the nib absent"
-    },
-    {
-        "prompt": "An ornate picture frame hangs on a gallery wall, intricate gilded borders catching overhead lighting.",
-        "missing_element": "glass",
-        "question_1": "Is there a picture frame , could be either with or without glass in the image",
-        "question_2": "Is the glass missing"
-    },
-    {
-        "prompt": "A skateboard rests on a graffiti-sprayed ramp, deck graphics vibrant and scuffed at the edges.",
-        "missing_element": "wheels",
-        "question_1": "Is there a skateboard , could be either with or without wheels in the image",
-        "question_2": "Are the wheels missing"
-    },
-    {
-        "prompt": "A platinum engagement ring sits in a velvet box under a small spotlight.",
-        "missing_element": "gemstone",
-        "question_1": "Is there a ring , could be either with or without a gemstone in the image",
-        "question_2": "Is the gemstone absent"
-    },
-    {
-        "prompt": "A white rocket stands upright on a launch pad against a pale dawn sky, service towers flanking it.",
-        "missing_element": "fins",
-        "question_1": "Is there a rocket , could be either with or without fins in the image",
-        "question_2": "Are the fins missing"
-    },
-    {
-        "prompt": "Over-ear headphones are draped across a mixing console, their matte black shells shining softly.",
-        "missing_element": "ear pads",
-        "question_1": "Are there headphones , could be either with or without ear pads in the image",
-        "question_2": "Are the ear pads missing"
-    },
-    {
-        "prompt": "A cotton T-shirt is neatly folded on a wooden shelf, its vibrant graphic centered on the chest.",
-        "missing_element": "sleeves",
-        "question_1": "Is there a T-shirt , could be either with or without sleeves in the image",
-        "question_2": "Are the sleeves missing"
-    },
-    {
-        "prompt": "A snowman stands in a quiet front yard, two coal eyes and a jaunty hat giving it character.",
-        "missing_element": "nose",
-        "question_1": "Is there a snowman , could be either with or without a nose in the image",
-        "question_2": "Is the nose missing"
-    },
-    {
-        "prompt": "A worn canvas sneaker lies abandoned on a beach boardwalk, sand sprinkled across its fabric.",
-        "missing_element": "laces",
-        "question_1": "Is there a sneaker , could be either with or without laces in the image",
-        "question_2": "Are the laces absent"
-    },
-    {
-        "prompt": "A rustic lantern hangs from a cabin beam, metal frame dark with age.",
-        "missing_element": "glass panes",
-        "question_1": "Is there a lantern , could be either with or without glass panes in the image",
-        "question_2": "Are the glass panes missing"
-    },
-    {
-        "prompt": "A mechanical keyboard rests on a neon-lit desk, keycaps glowing with colorful backlight.",
-        "missing_element": "spacebar",
-        "question_1": "Is there a keyboard , could be either with or without a spacebar in the image",
-        "question_2": "Is the spacebar missing"
-    },
-    {
-        "prompt": "A plush teddy bear is propped against a pillow in a child’s room, its fur softly illuminated by night-light glow.",
-        "missing_element": "eyes",
-        "question_1": "Is there a teddy bear , could be either with or without eyes in the image",
-        "question_2": "Are the eyes absent"
-    },
-    {
-        "prompt": "A basketball hoop hangs above a driveway, backboard edges chipped from years of play.",
-        "missing_element": "net",
-        "question_1": "Is there a basketball hoop , could be either with or without a net in the image",
-        "question_2": "Is the net missing"
-    },
-    {
-        "prompt": "A crystal wine glass stands atop a linen napkin beside polished silverware.",
-        "missing_element": "stem",
-        "question_1": "Is there a wine glass , could be either with or without a stem in the image",
-        "question_2": "Is the stem absent"
-    },
-    {
-        "prompt": "A decorative pocket mirror lies on a marble vanity, ornate silver backing engraved with curling vines.",
-        "missing_element": "reflective surface",
-        "question_1": "Is there a pocket mirror , could be either with or without a reflective surface in the image",
-        "question_2": "Is the reflective surface missing"
-    }
-]

VSF/qwen.ipynb

@@ -1,118 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "1c33a1fe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from qwen_image.pipeline import VSFQwenImagePipeline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "549eb442",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f9e26dfa78e94f91bcfe52de37aed7bc",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading pipeline components...:   0%|          | 0/5 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "The config attributes {'pooled_projection_dim': 768} were passed to QwenImageTransformer2DModel, but are not expected and will be ignored. Please verify your config.json configuration file.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aad68592c7584ccab1478b8deb41b076",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/9 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "10620ec86d4049edae7341f0f4168b6c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import torch\n",
-    "model_name = \"Qwen/Qwen-Image\"\n",
-    "pipe = VSFQwenImagePipeline.from_pretrained(model_name, torch_dtype=torch.bfloat16)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "057b7159",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "torch.Size([1, 10, 3584])"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pipe.encode_prompt(\"hello\")[0].shape"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "neg",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.17"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

VSF/qwen.py

@@ -1,15 +0,0 @@
-from diffusers import DiffusionPipeline
-import torch
-
-model_name = "Qwen/Qwen-Image"
-
-# Load the pipeline
-if torch.cuda.is_available():
-    torch_dtype = torch.bfloat16
-    device = "cuda"
-else:
-    torch_dtype = torch.float32
-    device = "cpu"
-
-pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
-pipe = pipe.to(device)

VSF/qwen_image/pipeline.py

@@ -1,334 +0,0 @@
-import inspect
-from typing import Any, Callable, Dict, List, Optional, Union
-
-import numpy as np
-import torch
-from transformers import Qwen2_5_VLForConditionalGeneration, Qwen2Tokenizer
-
-from diffusers.image_processor import VaeImageProcessor
-from diffusers.models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
-from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
-from diffusers.utils import is_torch_xla_available, logging, replace_example_docstring
-from diffusers.utils.torch_utils import randn_tensor
-from diffusers.pipelines.pipeline_utils import DiffusionPipeline
-
-from diffusers.pipelines.qwenimage import QwenImagePipeline
-from diffusers.pipelines.qwenimage import QwenImagePipelineOutput
-from dataclasses import dataclass
-from typing import List, Union
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-import numpy as np
-import PIL.Image
-
-from diffusers.utils import BaseOutput
-
-EXAMPLE_DOC_STRING = """
-    Examples:
-        ```py
-        >>> import torch
-        >>> from diffusers import QwenImagePipeline
-
-        >>> pipe = QwenImagePipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=torch.bfloat16)
-        >>> pipe.to("cuda")
-        >>> prompt = "A cat holding a sign that says hello world"
-        >>> # Depending on the variant being used, the pipeline call will slightly vary.
-        >>> # Refer to the pipeline documentation for more details.
-        >>> image = pipe(prompt, num_inference_steps=50).images[0]
-        >>> image.save("qwenimage.png")
-        ```
-"""
-class VSFQwenImagePipeline(QwenImagePipeline):
-    @torch.no_grad()
-    @replace_example_docstring(EXAMPLE_DOC_STRING)
-    def __call__(
-        self,
-        prompt: Union[str, List[str]] = None,
-        negative_prompt: Union[str, List[str]] = None,
-        true_cfg_scale: float = 4.0,
-        height: Optional[int] = None,
-        width: Optional[int] = None,
-        num_inference_steps: int = 50,
-        sigmas: Optional[List[float]] = None,
-        guidance_scale: float = 1.0,
-        num_images_per_prompt: int = 1,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.Tensor] = None,
-        prompt_embeds: Optional[torch.Tensor] = None,
-        prompt_embeds_mask: Optional[torch.Tensor] = None,
-        negative_prompt_embeds: Optional[torch.Tensor] = None,
-        negative_prompt_embeds_mask: Optional[torch.Tensor] = None,
-        output_type: Optional[str] = "pil",
-        return_dict: bool = True,
-        attention_kwargs: Optional[Dict[str, Any]] = None,
-        callback_on_step_end: Optional[Callable[[int, int, Dict], None]] = None,
-        callback_on_step_end_tensor_inputs: List[str] = ["latents"],
-        max_sequence_length: int = 512,
-    ):
-        r"""
-        Function invoked when calling the pipeline for generation.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
-                instead.
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `true_cfg_scale` is
-                not greater than `1`).
-            true_cfg_scale (`float`, *optional*, defaults to 1.0):
-                When > 1.0 and a provided `negative_prompt`, enables true classifier-free guidance.
-            height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The height in pixels of the generated image. This is set to 1024 by default for the best results.
-            width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The width in pixels of the generated image. This is set to 1024 by default for the best results.
-            num_inference_steps (`int`, *optional*, defaults to 50):
-                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-                expense of slower inference.
-            sigmas (`List[float]`, *optional*):
-                Custom sigmas to use for the denoising process with schedulers which support a `sigmas` argument in
-                their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is passed
-                will be used.
-            guidance_scale (`float`, *optional*, defaults to 3.5):
-                Guidance scale as defined in [Classifier-Free Diffusion
-                Guidance](https://huggingface.co/papers/2207.12598). `guidance_scale` is defined as `w` of equation 2.
-                of [Imagen Paper](https://huggingface.co/papers/2205.11487). Guidance scale is enabled by setting
-                `guidance_scale > 1`. Higher guidance scale encourages to generate images that are closely linked to
-                the text `prompt`, usually at the expense of lower image quality.
-            num_images_per_prompt (`int`, *optional*, defaults to 1):
-                The number of images to generate per prompt.
-            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-                One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
-                to make generation deterministic.
-            latents (`torch.Tensor`, *optional*):
-                Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
-                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-                tensor will be generated by sampling using the supplied random `generator`.
-            prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            output_type (`str`, *optional*, defaults to `"pil"`):
-                The output format of the generate image. Choose between
-                [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~pipelines.qwenimage.QwenImagePipelineOutput`] instead of a plain tuple.
-            attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
-                `self.processor` in
-                [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
-            callback_on_step_end (`Callable`, *optional*):
-                A function that calls at the end of each denoising steps during the inference. The function is called
-                with the following arguments: `callback_on_step_end(self: DiffusionPipeline, step: int, timestep: int,
-                callback_kwargs: Dict)`. `callback_kwargs` will include a list of all tensors as specified by
-                `callback_on_step_end_tensor_inputs`.
-            callback_on_step_end_tensor_inputs (`List`, *optional*):
-                The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
-                will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
-                `._callback_tensor_inputs` attribute of your pipeline class.
-            max_sequence_length (`int` defaults to 512): Maximum sequence length to use with the `prompt`.
-
-        Examples:
-
-        Returns:
-            [`~pipelines.qwenimage.QwenImagePipelineOutput`] or `tuple`:
-            [`~pipelines.qwenimage.QwenImagePipelineOutput`] if `return_dict` is True, otherwise a `tuple`. When
-            returning a tuple, the first element is a list with the generated images.
-        """
-
-        height = height or self.default_sample_size * self.vae_scale_factor
-        width = width or self.default_sample_size * self.vae_scale_factor
-
-        # 1. Check inputs. Raise error if not correct
-        self.check_inputs(
-            prompt,
-            height,
-            width,
-            negative_prompt=negative_prompt,
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            prompt_embeds_mask=prompt_embeds_mask,
-            negative_prompt_embeds_mask=negative_prompt_embeds_mask,
-            callback_on_step_end_tensor_inputs=callback_on_step_end_tensor_inputs,
-            max_sequence_length=max_sequence_length,
-        )
-
-        self._guidance_scale = guidance_scale
-        self._attention_kwargs = attention_kwargs
-        self._current_timestep = None
-        self._interrupt = False
-
-        # 2. Define call parameters
-        if prompt is not None and isinstance(prompt, str):
-            batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        device = self._execution_device
-
-        has_neg_prompt = negative_prompt is not None or (
-            negative_prompt_embeds is not None and negative_prompt_embeds_mask is not None
-        )
-        do_true_cfg = true_cfg_scale > 1 and has_neg_prompt
-        prompt_embeds, prompt_embeds_mask = self.encode_prompt(
-            prompt=prompt,
-            prompt_embeds=prompt_embeds,
-            prompt_embeds_mask=prompt_embeds_mask,
-            device=device,
-            num_images_per_prompt=num_images_per_prompt,
-            max_sequence_length=max_sequence_length,
-        )
-        if do_true_cfg:
-            negative_prompt_embeds, negative_prompt_embeds_mask = self.encode_prompt(
-                prompt=negative_prompt,
-                prompt_embeds=negative_prompt_embeds,
-                prompt_embeds_mask=negative_prompt_embeds_mask,
-                device=device,
-                num_images_per_prompt=num_images_per_prompt,
-                max_sequence_length=max_sequence_length,
-            )
-
-        # 4. Prepare latent variables
-        num_channels_latents = self.transformer.config.in_channels // 4
-        latents, latent_image_ids = self.prepare_latents(
-            batch_size * num_images_per_prompt,
-            num_channels_latents,
-            height,
-            width,
-            prompt_embeds.dtype,
-            device,
-            generator,
-            latents,
-        )
-        img_shapes = [(1, height // self.vae_scale_factor // 2, width // self.vae_scale_factor // 2)] * batch_size
-
-        # 5. Prepare timesteps
-        sigmas = np.linspace(1.0, 1 / num_inference_steps, num_inference_steps) if sigmas is None else sigmas
-        image_seq_len = latents.shape[1]
-        mu = calculate_shift(
-            image_seq_len,
-            self.scheduler.config.get("base_image_seq_len", 256),
-            self.scheduler.config.get("max_image_seq_len", 4096),
-            self.scheduler.config.get("base_shift", 0.5),
-            self.scheduler.config.get("max_shift", 1.15),
-        )
-        timesteps, num_inference_steps = retrieve_timesteps(
-            self.scheduler,
-            num_inference_steps,
-            device,
-            sigmas=sigmas,
-            mu=mu,
-        )
-        num_warmup_steps = max(len(timesteps) - num_inference_steps * self.scheduler.order, 0)
-        self._num_timesteps = len(timesteps)
-
-        # handle guidance
-        if self.transformer.config.guidance_embeds:
-            guidance = torch.full([1], guidance_scale, device=device, dtype=torch.float32)
-            guidance = guidance.expand(latents.shape[0])
-        else:
-            guidance = None
-
-        if self.attention_kwargs is None:
-            self._attention_kwargs = {}
-
-        txt_seq_lens = prompt_embeds_mask.sum(dim=1).tolist() if prompt_embeds_mask is not None else None
-        negative_txt_seq_lens = (
-            negative_prompt_embeds_mask.sum(dim=1).tolist() if negative_prompt_embeds_mask is not None else None
-        )
-
-        # 6. Denoising loop
-        self.scheduler.set_begin_index(0)
-        with self.progress_bar(total=num_inference_steps) as progress_bar:
-            for i, t in enumerate(timesteps):
-                if self.interrupt:
-                    continue
-
-                self._current_timestep = t
-                # broadcast to batch dimension in a way that's compatible with ONNX/Core ML
-                timestep = t.expand(latents.shape[0]).to(latents.dtype)
-                with self.transformer.cache_context("cond"):
-                    noise_pred = self.transformer(
-                        hidden_states=latents,
-                        timestep=timestep / 1000,
-                        guidance=guidance,
-                        encoder_hidden_states_mask=prompt_embeds_mask,
-                        encoder_hidden_states=prompt_embeds,
-                        img_shapes=img_shapes,
-                        txt_seq_lens=txt_seq_lens,
-                        attention_kwargs=self.attention_kwargs,
-                        return_dict=False,
-                    )[0]
-
-                if do_true_cfg:
-                    with self.transformer.cache_context("uncond"):
-                        neg_noise_pred = self.transformer(
-                            hidden_states=latents,
-                            timestep=timestep / 1000,
-                            guidance=guidance,
-                            encoder_hidden_states_mask=negative_prompt_embeds_mask,
-                            encoder_hidden_states=negative_prompt_embeds,
-                            img_shapes=img_shapes,
-                            txt_seq_lens=negative_txt_seq_lens,
-                            attention_kwargs=self.attention_kwargs,
-                            return_dict=False,
-                        )[0]
-                    comb_pred = neg_noise_pred + true_cfg_scale * (noise_pred - neg_noise_pred)
-
-                    cond_norm = torch.norm(noise_pred, dim=-1, keepdim=True)
-                    noise_norm = torch.norm(comb_pred, dim=-1, keepdim=True)
-                    noise_pred = comb_pred * (cond_norm / noise_norm)
-
-                # compute the previous noisy sample x_t -> x_t-1
-                latents_dtype = latents.dtype
-                latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
-
-                if latents.dtype != latents_dtype:
-                    if torch.backends.mps.is_available():
-                        # some platforms (eg. apple mps) misbehave due to a pytorch bug: https://github.com/pytorch/pytorch/pull/99272
-                        latents = latents.to(latents_dtype)
-
-                if callback_on_step_end is not None:
-                    callback_kwargs = {}
-                    for k in callback_on_step_end_tensor_inputs:
-                        callback_kwargs[k] = locals()[k]
-                    callback_outputs = callback_on_step_end(self, i, t, callback_kwargs)
-
-                    latents = callback_outputs.pop("latents", latents)
-                    prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
-
-                # call the callback, if provided
-                if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
-                    progress_bar.update()
-
-
-        self._current_timestep = None
-        if output_type == "latent":
-            image = latents
-        else:
-            latents = self._unpack_latents(latents, height, width, self.vae_scale_factor)
-            latents = latents.to(self.vae.dtype)
-            latents_mean = (
-                torch.tensor(self.vae.config.latents_mean)
-                .view(1, self.vae.config.z_dim, 1, 1, 1)
-                .to(latents.device, latents.dtype)
-            )
-            latents_std = 1.0 / torch.tensor(self.vae.config.latents_std).view(1, self.vae.config.z_dim, 1, 1, 1).to(
-                latents.device, latents.dtype
-            )
-            latents = latents / latents_std + latents_mean
-            image = self.vae.decode(latents, return_dict=False)[0][:, :, 0]
-            image = self.image_processor.postprocess(image, output_type=output_type)
-
-        # Offload all models
-        self.maybe_free_model_hooks()
-
-        if not return_dict:
-            return (image,)
-
-        return QwenImagePipelineOutput(images=image)

VSF/qwen_image/processor.py

@@ -1,119 +0,0 @@
-
-import math
-from typing import Any, Dict, List, Optional, Tuple, Union
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-from diffusers.configuration_utils import ConfigMixin, register_to_config
-from diffusers.loaders import FromOriginalModelMixin, PeftAdapterMixin
-from diffusers.utils import USE_PEFT_BACKEND, logging, scale_lora_layers, unscale_lora_layers
-from diffusers.utils.torch_utils import maybe_allow_in_graph
-from diffusers.models.attention import FeedForward
-from diffusers.models.attention_dispatch import dispatch_attention_fn
-from diffusers.models.attention_processor import Attention
-from diffusers.models.cache_utils import CacheMixin
-from diffusers.models.embeddings import TimestepEmbedding, Timesteps
-from diffusers.models.modeling_outputs import Transformer2DModelOutput
-from diffusers.models.modeling_utils import ModelMixin
-from diffusers.models.normalization import AdaLayerNormContinuous, RMSNorm
-
-class QwenDoubleStreamAttnProcessor2_0:
-    """
-    Attention processor for Qwen double-stream architecture, matching DoubleStreamLayerMegatron logic. This processor
-    implements joint attention computation where text and image streams are processed together.
-    """
-
-    _attention_backend = None
-
-    def __init__(self):
-        if not hasattr(F, "scaled_dot_product_attention"):
-            raise ImportError(
-                "QwenDoubleStreamAttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0."
-            )
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states: torch.FloatTensor,  # Image stream
-        encoder_hidden_states: torch.FloatTensor = None,  # Text stream
-        encoder_hidden_states_mask: torch.FloatTensor = None,
-        attention_mask: Optional[torch.FloatTensor] = None,
-        image_rotary_emb: Optional[torch.Tensor] = None,
-    ) -> torch.FloatTensor:
-        if encoder_hidden_states is None:
-            raise ValueError("QwenDoubleStreamAttnProcessor2_0 requires encoder_hidden_states (text stream)")
-
-        seq_txt = encoder_hidden_states.shape[1]
-
-        # Compute QKV for image stream (sample projections)
-        img_query = attn.to_q(hidden_states)
-        img_key = attn.to_k(hidden_states)
-        img_value = attn.to_v(hidden_states)
-
-        # Compute QKV for text stream (context projections)
-        txt_query = attn.add_q_proj(encoder_hidden_states)
-        txt_key = attn.add_k_proj(encoder_hidden_states)
-        txt_value = attn.add_v_proj(encoder_hidden_states)
-
-        # Reshape for multi-head attention
-        img_query = img_query.unflatten(-1, (attn.heads, -1))
-        img_key = img_key.unflatten(-1, (attn.heads, -1))
-        img_value = img_value.unflatten(-1, (attn.heads, -1))
-
-        txt_query = txt_query.unflatten(-1, (attn.heads, -1))
-        txt_key = txt_key.unflatten(-1, (attn.heads, -1))
-        txt_value = txt_value.unflatten(-1, (attn.heads, -1))
-
-        # Apply QK normalization
-        if attn.norm_q is not None:
-            img_query = attn.norm_q(img_query)
-        if attn.norm_k is not None:
-            img_key = attn.norm_k(img_key)
-        if attn.norm_added_q is not None:
-            txt_query = attn.norm_added_q(txt_query)
-        if attn.norm_added_k is not None:
-            txt_key = attn.norm_added_k(txt_key)
-
-        # Apply RoPE
-        if image_rotary_emb is not None:
-            img_freqs, txt_freqs = image_rotary_emb
-            img_query = apply_rotary_emb_qwen(img_query, img_freqs, use_real=False)
-            img_key = apply_rotary_emb_qwen(img_key, img_freqs, use_real=False)
-            txt_query = apply_rotary_emb_qwen(txt_query, txt_freqs, use_real=False)
-            txt_key = apply_rotary_emb_qwen(txt_key, txt_freqs, use_real=False)
-
-        # Concatenate for joint attention
-        # Order: [text, image]
-        joint_query = torch.cat([txt_query, img_query], dim=1)
-        joint_key = torch.cat([txt_key, img_key], dim=1)
-        joint_value = torch.cat([txt_value, img_value], dim=1)
-
-        # Compute joint attention
-        joint_hidden_states = dispatch_attention_fn(
-            joint_query,
-            joint_key,
-            joint_value,
-            attn_mask=attention_mask,
-            dropout_p=0.0,
-            is_causal=False,
-            backend=self._attention_backend,
-        )
-
-        # Reshape back
-        joint_hidden_states = joint_hidden_states.flatten(2, 3)
-        joint_hidden_states = joint_hidden_states.to(joint_query.dtype)
-
-        # Split attention outputs back
-        txt_attn_output = joint_hidden_states[:, :seq_txt, :]  # Text part
-        img_attn_output = joint_hidden_states[:, seq_txt:, :]  # Image part
-
-        # Apply output projections
-        img_attn_output = attn.to_out[0](img_attn_output)
-        if len(attn.to_out) > 1:
-            img_attn_output = attn.to_out[1](img_attn_output)  # dropout
-
-        txt_attn_output = attn.to_add_out(txt_attn_output)
-
-        return img_attn_output, txt_attn_output

VSF/requirements.txt

@@ -1,14 +0,0 @@
-git+https://github.com/ChenDarYen/Normalized-Attention-Guidance.git
-diffusers
-transformers
-wandb
-openai
-dotenv
-numpy
-Pillow
-git+https://github.com/huggingface/diffusers
-accelerate
-ftfy
-imageio
-peft
-dfloat11

VSF/vsfwan/main.ipynb

@@ -1,205 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b53f5b58",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e3c8361d88484d9984ecd3746399940f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading pipeline components...:   0%|          | 0/5 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d82356db6da94c5cb78b8f5681f87304",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5052153c971542aa9dc0a9561f040bc5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/5 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import torch\n",
-    "from diffusers import AutoencoderKLWan\n",
-    "from pipeline import WanPipeline\n",
-    "from diffusers.utils import export_to_video\n",
-    "\n",
-    "model_id = \"Wan-AI/Wan2.1-T2V-1.3B-Diffusers\"\n",
-    "vae = AutoencoderKLWan.from_pretrained(model_id, subfolder=\"vae\", torch_dtype=torch.float32)\n",
-    "pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)\n",
-    "pipe.load_lora_weights(\n",
-    "    \"Kijai/WanVideo_comfy\",\n",
-    "    weight_name=\"Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors\",\n",
-    "    adapter_name=\"lora\"\n",
-    ") \n",
-    "pipe = pipe.to(\"cuda\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "cc3c8947",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "False\n",
-      "True\n",
-      "2 510\n",
-      "32760\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "`num_frames - 1` has to be divisible by 4. Rounding to the nearest number.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2f9f2e39d9584aab8cc0f27e4f061dc1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/12 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
-      "To disable this warning, you can either:\n",
-      "\t- Avoid using `tokenizers` before the fork if possible\n",
-      "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "'vsf.mp4'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from processor import WanAttnProcessor2_0\n",
-    "\n",
-    "# prompt = \"A chef cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The cat is wearing a chef suit\"\n",
-    "# neg_prompt = \"chef hat\"\n",
-    "prompt = \"A cessna flying over a snowy mountain landscape, with a clear blue sky and fluffy white clouds. The plane is flying at a low altitude, casting a shadow on the snow-covered ground below. The mountains are rugged and steep, with patches of evergreen trees visible in the foreground.\"\n",
-    "neg_prompt = \"trees\"\n",
-    "\n",
-    "neg_prompt_embeds, _ = pipe.encode_prompt(\n",
-    "    prompt=neg_prompt,\n",
-    "    padding=False,\n",
-    "    do_classifier_free_guidance=False,\n",
-    ")\n",
-    "\n",
-    "pos_prompt_embeds, _ = pipe.encode_prompt( \n",
-    "    prompt=prompt,\n",
-    "    do_classifier_free_guidance=False, \n",
-    "    max_sequence_length=512 - neg_prompt_embeds.shape[1],\n",
-    ")\n",
-    "pipe.set_adapters(\"lora\", 0.5)\n",
-    "\n",
-    "\n",
-    "\n",
-    "neg_len = neg_prompt_embeds.shape[1]\n",
-    "pos_len = pos_prompt_embeds.shape[1]\n",
-    "print(neg_len, pos_len)\n",
-    "height = 480\n",
-    "width = 832\n",
-    "frames = 81\n",
-    "\n",
-    "img_len = (height//8) * (width//8) * 3 * (frames // 4 + 1) // 12\n",
-    "print(img_len)\n",
-    "mask = torch.zeros((1, img_len, pos_len+neg_len)).cuda()\n",
-    "mask[:, :, -neg_len:] = -torch.inf # this should be negative -torch.inf #\n",
-    "# mask[:, :, -neg_len:] = -0.2 # this should be negative -torch.inf #\n",
-    "\n",
-    "for block in pipe.transformer.blocks:\n",
-    "    block.attn2.processor = WanAttnProcessor2_0(scale=1.7, neg_prompt_length=neg_len, attn_mask=mask)\n",
-    "# should we still do exploation in space \n",
-    "\n",
-    "prompt_embeds = torch.cat([pos_prompt_embeds, neg_prompt_embeds], dim=1)\n",
-    "\n",
-    "output = pipe(\n",
-    "    prompt_embeds=prompt_embeds,\n",
-    "    # prompt_embeds=pos_prompt_embeds,\n",
-    "    negative_prompt=neg_prompt,\n",
-    "    height=height,\n",
-    "    width=width,\n",
-    "    num_frames=frames + 1,\n",
-    "    num_inference_steps=12,\n",
-    "    guidance_scale=0.0, \n",
-    "    generator=torch.Generator(device=\"cuda\").manual_seed(42),\n",
-    ").frames[0]\n",
-    "export_to_video(output, \"vsf.mp4\", fps=15)\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "neg",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.17"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

VSF/vsfwan/pipeline.py

@@ -1,612 +0,0 @@
-# Copyright 2025 The Wan Team and The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import html
-from typing import Any, Callable, Dict, List, Optional, Union
-
-import regex as re
-import torch
-from transformers import AutoTokenizer, UMT5EncoderModel
-
-from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
-from diffusers.loaders import WanLoraLoaderMixin
-from diffusers.models import AutoencoderKLWan, WanTransformer3DModel
-from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
-from diffusers.utils import is_ftfy_available, is_torch_xla_available, logging, replace_example_docstring
-from diffusers.utils.torch_utils import randn_tensor
-from diffusers.video_processor import VideoProcessor
-from diffusers.pipelines.pipeline_utils import DiffusionPipeline
-from diffusers.pipelines.wan.pipeline_output import WanPipelineOutput
-
-
-if is_torch_xla_available():
-    import torch_xla.core.xla_model as xm
-
-    XLA_AVAILABLE = True
-else:
-    XLA_AVAILABLE = False
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-if is_ftfy_available():
-    import ftfy
-
-
-EXAMPLE_DOC_STRING = """
-    Examples:
-        ```python
-        >>> import torch
-        >>> from diffusers.utils import export_to_video
-        >>> from diffusers import AutoencoderKLWan, WanPipeline
-        >>> from diffusers.schedulers.scheduling_unipc_multistep import UniPCMultistepScheduler
-
-        >>> # Available models: Wan-AI/Wan2.1-T2V-14B-Diffusers, Wan-AI/Wan2.1-T2V-1.3B-Diffusers
-        >>> model_id = "Wan-AI/Wan2.1-T2V-14B-Diffusers"
-        >>> vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
-        >>> pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
-        >>> flow_shift = 5.0  # 5.0 for 720P, 3.0 for 480P
-        >>> pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
-        >>> pipe.to("cuda")
-
-        >>> prompt = "A cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The kitchen is cozy, with sunlight streaming through the window."
-        >>> negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"
-
-        >>> output = pipe(
-        ...     prompt=prompt,
-        ...     negative_prompt=negative_prompt,
-        ...     height=720,
-        ...     width=1280,
-        ...     num_frames=81,
-        ...     guidance_scale=5.0,
-        ... ).frames[0]
-        >>> export_to_video(output, "output.mp4", fps=16)
-        ```
-"""
-
-
-def basic_clean(text):
-    text = ftfy.fix_text(text)
-    text = html.unescape(html.unescape(text))
-    return text.strip()
-
-
-def whitespace_clean(text):
-    text = re.sub(r"\s+", " ", text)
-    text = text.strip()
-    return text
-
-
-def prompt_clean(text):
-    text = whitespace_clean(basic_clean(text))
-    return text
-
-
-class WanPipeline(DiffusionPipeline, WanLoraLoaderMixin):
-    r"""
-    Pipeline for text-to-video generation using Wan.
-
-    This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods
-    implemented for all pipelines (downloading, saving, running on a particular device, etc.).
-
-    Args:
-        tokenizer ([`T5Tokenizer`]):
-            Tokenizer from [T5](https://huggingface.co/docs/transformers/en/model_doc/t5#transformers.T5Tokenizer),
-            specifically the [google/umt5-xxl](https://huggingface.co/google/umt5-xxl) variant.
-        text_encoder ([`T5EncoderModel`]):
-            [T5](https://huggingface.co/docs/transformers/en/model_doc/t5#transformers.T5EncoderModel), specifically
-            the [google/umt5-xxl](https://huggingface.co/google/umt5-xxl) variant.
-        transformer ([`WanTransformer3DModel`]):
-            Conditional Transformer to denoise the input latents.
-        scheduler ([`UniPCMultistepScheduler`]):
-            A scheduler to be used in combination with `transformer` to denoise the encoded image latents.
-        vae ([`AutoencoderKLWan`]):
-            Variational Auto-Encoder (VAE) Model to encode and decode videos to and from latent representations.
-    """
-
-    model_cpu_offload_seq = "text_encoder->transformer->vae"
-    _callback_tensor_inputs = ["latents", "prompt_embeds", "negative_prompt_embeds"]
-
-    def __init__(
-        self,
-        tokenizer: AutoTokenizer,
-        text_encoder: UMT5EncoderModel,
-        transformer: WanTransformer3DModel,
-        vae: AutoencoderKLWan,
-        scheduler: FlowMatchEulerDiscreteScheduler,
-    ):
-        super().__init__()
-
-        self.register_modules(
-            vae=vae,
-            text_encoder=text_encoder,
-            tokenizer=tokenizer,
-            transformer=transformer,
-            scheduler=scheduler,
-        )
-
-        self.vae_scale_factor_temporal = 2 ** sum(self.vae.temperal_downsample) if getattr(self, "vae", None) else 4
-        self.vae_scale_factor_spatial = 2 ** len(self.vae.temperal_downsample) if getattr(self, "vae", None) else 8
-        self.video_processor = VideoProcessor(vae_scale_factor=self.vae_scale_factor_spatial)
-
-    def _get_t5_prompt_embeds(
-        self,
-        prompt: Union[str, List[str]] = None,
-        num_videos_per_prompt: int = 1,
-        max_sequence_length: int = 226,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-        padding: bool = True,
-    ):
-        device = device or self._execution_device
-        dtype = dtype or self.text_encoder.dtype
-
-        prompt = [prompt] if isinstance(prompt, str) else prompt
-        prompt = [prompt_clean(u) for u in prompt]
-        batch_size = len(prompt)
-        print(padding)
-        text_inputs = self.tokenizer(
-            prompt,
-            padding="max_length" if padding else False,
-            max_length=max_sequence_length,
-            truncation=True,
-            add_special_tokens=True,
-            return_attention_mask=True,
-            return_tensors="pt",
-        )
-        text_input_ids, mask = text_inputs.input_ids, text_inputs.attention_mask
-        seq_lens = mask.gt(0).sum(dim=1).long()
-
-        prompt_embeds = self.text_encoder(text_input_ids.to(device), mask.to(device)).last_hidden_state
-        prompt_embeds = prompt_embeds.to(dtype=dtype, device=device)
-        prompt_embeds = [u[:v] for u, v in zip(prompt_embeds, seq_lens)]
-        if padding:
-            prompt_embeds = torch.stack(
-                [torch.cat([u, u.new_zeros(max_sequence_length - u.size(0), u.size(1))]) for u in prompt_embeds], dim=0
-            )
-        else:
-            prompt_embeds = torch.stack(
-                [torch.cat([u]) for u in prompt_embeds], dim=0
-            )
-
-        # duplicate text embeddings for each generation per prompt, using mps friendly method
-        _, seq_len, _ = prompt_embeds.shape
-        prompt_embeds = prompt_embeds.repeat(1, num_videos_per_prompt, 1)
-        prompt_embeds = prompt_embeds.view(batch_size * num_videos_per_prompt, seq_len, -1)
-
-        return prompt_embeds
-
-    def encode_prompt(
-        self,
-        prompt: Union[str, List[str]],
-        negative_prompt: Optional[Union[str, List[str]]] = None,
-        do_classifier_free_guidance: bool = True,
-        num_videos_per_prompt: int = 1,
-        prompt_embeds: Optional[torch.Tensor] = None,
-        negative_prompt_embeds: Optional[torch.Tensor] = None,
-        max_sequence_length: int = 226,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-        padding: bool = True,
-    ):
-        r"""
-        Encodes the prompt into text encoder hidden states.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                prompt to be encoded
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
-                less than `1`).
-            do_classifier_free_guidance (`bool`, *optional*, defaults to `True`):
-                Whether to use classifier free guidance or not.
-            num_videos_per_prompt (`int`, *optional*, defaults to 1):
-                Number of videos that should be generated per prompt. torch device to place the resulting embeddings on
-            prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            device: (`torch.device`, *optional*):
-                torch device
-            dtype: (`torch.dtype`, *optional*):
-                torch dtype
-        """
-        device = device or self._execution_device
-
-        prompt = [prompt] if isinstance(prompt, str) else prompt
-        if prompt is not None:
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        if prompt_embeds is None:
-            prompt_embeds = self._get_t5_prompt_embeds(
-                prompt=prompt,
-                num_videos_per_prompt=num_videos_per_prompt,
-                max_sequence_length=max_sequence_length,
-                device=device,
-                dtype=dtype,
-                padding=padding
-            )
-
-        if do_classifier_free_guidance and negative_prompt_embeds is None:
-            negative_prompt = negative_prompt or ""
-            negative_prompt = batch_size * [negative_prompt] if isinstance(negative_prompt, str) else negative_prompt
-
-            if prompt is not None and type(prompt) is not type(negative_prompt):
-                raise TypeError(
-                    f"`negative_prompt` should be the same type to `prompt`, but got {type(negative_prompt)} !="
-                    f" {type(prompt)}."
-                )
-            elif batch_size != len(negative_prompt):
-                raise ValueError(
-                    f"`negative_prompt`: {negative_prompt} has batch size {len(negative_prompt)}, but `prompt`:"
-                    f" {prompt} has batch size {batch_size}. Please make sure that passed `negative_prompt` matches"
-                    " the batch size of `prompt`."
-                )
-
-            negative_prompt_embeds = self._get_t5_prompt_embeds(
-                prompt=negative_prompt,
-                num_videos_per_prompt=num_videos_per_prompt,
-                max_sequence_length=max_sequence_length,
-                device=device,
-                dtype=dtype,
-            )
-
-        return prompt_embeds, negative_prompt_embeds
-
-    def check_inputs(
-        self,
-        prompt,
-        negative_prompt,
-        height,
-        width,
-        prompt_embeds=None,
-        negative_prompt_embeds=None,
-        callback_on_step_end_tensor_inputs=None,
-    ):
-        if height % 16 != 0 or width % 16 != 0:
-            raise ValueError(f"`height` and `width` have to be divisible by 16 but are {height} and {width}.")
-
-        if callback_on_step_end_tensor_inputs is not None and not all(
-            k in self._callback_tensor_inputs for k in callback_on_step_end_tensor_inputs
-        ):
-            raise ValueError(
-                f"`callback_on_step_end_tensor_inputs` has to be in {self._callback_tensor_inputs}, but found {[k for k in callback_on_step_end_tensor_inputs if k not in self._callback_tensor_inputs]}"
-            )
-
-        if prompt is not None and prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `prompt`: {prompt} and `prompt_embeds`: {prompt_embeds}. Please make sure to"
-                " only forward one of the two."
-            )
-        elif negative_prompt is not None and negative_prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `negative_prompt`: {negative_prompt} and `negative_prompt_embeds`: {negative_prompt_embeds}. Please make sure to"
-                " only forward one of the two."
-            )
-        elif prompt is None and prompt_embeds is None:
-            raise ValueError(
-                "Provide either `prompt` or `prompt_embeds`. Cannot leave both `prompt` and `prompt_embeds` undefined."
-            )
-        elif prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)):
-            raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}")
-        elif negative_prompt is not None and (
-            not isinstance(negative_prompt, str) and not isinstance(negative_prompt, list)
-        ):
-            raise ValueError(f"`negative_prompt` has to be of type `str` or `list` but is {type(negative_prompt)}")
-
-    def prepare_latents(
-        self,
-        batch_size: int,
-        num_channels_latents: int = 16,
-        height: int = 480,
-        width: int = 832,
-        num_frames: int = 81,
-        dtype: Optional[torch.dtype] = None,
-        device: Optional[torch.device] = None,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.Tensor] = None,
-    ) -> torch.Tensor:
-        if latents is not None:
-            return latents.to(device=device, dtype=dtype)
-
-        num_latent_frames = (num_frames - 1) // self.vae_scale_factor_temporal + 1
-        shape = (
-            batch_size,
-            num_channels_latents,
-            num_latent_frames,
-            int(height) // self.vae_scale_factor_spatial,
-            int(width) // self.vae_scale_factor_spatial,
-        )
-        if isinstance(generator, list) and len(generator) != batch_size:
-            raise ValueError(
-                f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
-                f" size of {batch_size}. Make sure the batch size matches the length of the generators."
-            )
-
-        latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
-        return latents
-
-    @property
-    def guidance_scale(self):
-        return self._guidance_scale
-
-    @property
-    def do_classifier_free_guidance(self):
-        return self._guidance_scale > 1.0
-
-    @property
-    def num_timesteps(self):
-        return self._num_timesteps
-
-    @property
-    def current_timestep(self):
-        return self._current_timestep
-
-    @property
-    def interrupt(self):
-        return self._interrupt
-
-    @property
-    def attention_kwargs(self):
-        return self._attention_kwargs
-
-    @torch.no_grad()
-    @replace_example_docstring(EXAMPLE_DOC_STRING)
-    def __call__(
-        self,
-        prompt: Union[str, List[str]] = None,
-        negative_prompt: Union[str, List[str]] = None,
-        height: int = 480,
-        width: int = 832,
-        num_frames: int = 81,
-        num_inference_steps: int = 50,
-        guidance_scale: float = 5.0,
-        num_videos_per_prompt: Optional[int] = 1,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.Tensor] = None,
-        prompt_embeds: Optional[torch.Tensor] = None,
-        negative_prompt_embeds: Optional[torch.Tensor] = None,
-        output_type: Optional[str] = "np",
-        return_dict: bool = True,
-        attention_kwargs: Optional[Dict[str, Any]] = None,
-        callback_on_step_end: Optional[
-            Union[Callable[[int, int, Dict], None], PipelineCallback, MultiPipelineCallbacks]
-        ] = None,
-        callback_on_step_end_tensor_inputs: List[str] = ["latents"],
-        max_sequence_length: int = 512,
-    ):
-        r"""
-        The call function to the pipeline for generation.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to guide the image generation. If not defined, pass `prompt_embeds` instead.
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to avoid during image generation. If not defined, pass `negative_prompt_embeds`
-                instead. Ignored when not using guidance (`guidance_scale` < `1`).
-            height (`int`, defaults to `480`):
-                The height in pixels of the generated image.
-            width (`int`, defaults to `832`):
-                The width in pixels of the generated image.
-            num_frames (`int`, defaults to `81`):
-                The number of frames in the generated video.
-            num_inference_steps (`int`, defaults to `50`):
-                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-                expense of slower inference.
-            guidance_scale (`float`, defaults to `5.0`):
-                Guidance scale as defined in [Classifier-Free Diffusion
-                Guidance](https://huggingface.co/papers/2207.12598). `guidance_scale` is defined as `w` of equation 2.
-                of [Imagen Paper](https://huggingface.co/papers/2205.11487). Guidance scale is enabled by setting
-                `guidance_scale > 1`. Higher guidance scale encourages to generate images that are closely linked to
-                the text `prompt`, usually at the expense of lower image quality.
-            num_videos_per_prompt (`int`, *optional*, defaults to 1):
-                The number of images to generate per prompt.
-            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-                A [`torch.Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) to make
-                generation deterministic.
-            latents (`torch.Tensor`, *optional*):
-                Pre-generated noisy latents sampled from a Gaussian distribution, to be used as inputs for image
-                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-                tensor is generated by sampling using the supplied random `generator`.
-            prompt_embeds (`torch.Tensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs (prompt weighting). If not
-                provided, text embeddings are generated from the `prompt` input argument.
-            output_type (`str`, *optional*, defaults to `"np"`):
-                The output format of the generated image. Choose between `PIL.Image` or `np.array`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`WanPipelineOutput`] instead of a plain tuple.
-            attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
-                `self.processor` in
-                [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
-            callback_on_step_end (`Callable`, `PipelineCallback`, `MultiPipelineCallbacks`, *optional*):
-                A function or a subclass of `PipelineCallback` or `MultiPipelineCallbacks` that is called at the end of
-                each denoising step during the inference. with the following arguments: `callback_on_step_end(self:
-                DiffusionPipeline, step: int, timestep: int, callback_kwargs: Dict)`. `callback_kwargs` will include a
-                list of all tensors as specified by `callback_on_step_end_tensor_inputs`.
-            callback_on_step_end_tensor_inputs (`List`, *optional*):
-                The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
-                will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
-                `._callback_tensor_inputs` attribute of your pipeline class.
-            max_sequence_length (`int`, defaults to `512`):
-                The maximum sequence length of the text encoder. If the prompt is longer than this, it will be
-                truncated. If the prompt is shorter, it will be padded to this length.
-
-        Examples:
-
-        Returns:
-            [`~WanPipelineOutput`] or `tuple`:
-                If `return_dict` is `True`, [`WanPipelineOutput`] is returned, otherwise a `tuple` is returned where
-                the first element is a list with the generated images and the second element is a list of `bool`s
-                indicating whether the corresponding generated image contains "not-safe-for-work" (nsfw) content.
-        """
-
-        if isinstance(callback_on_step_end, (PipelineCallback, MultiPipelineCallbacks)):
-            callback_on_step_end_tensor_inputs = callback_on_step_end.tensor_inputs
-
-        # 1. Check inputs. Raise error if not correct
-        self.check_inputs(
-            prompt,
-            negative_prompt,
-            height,
-            width,
-            prompt_embeds,
-            negative_prompt_embeds,
-            callback_on_step_end_tensor_inputs,
-        )
-
-        if num_frames % self.vae_scale_factor_temporal != 1:
-            logger.warning(
-                f"`num_frames - 1` has to be divisible by {self.vae_scale_factor_temporal}. Rounding to the nearest number."
-            )
-            num_frames = num_frames // self.vae_scale_factor_temporal * self.vae_scale_factor_temporal + 1
-        num_frames = max(num_frames, 1)
-
-        self._guidance_scale = guidance_scale
-        self._attention_kwargs = attention_kwargs
-        self._current_timestep = None
-        self._interrupt = False
-
-        device = self._execution_device
-
-        # 2. Define call parameters
-        if prompt is not None and isinstance(prompt, str):
-            batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        # 3. Encode input prompt
-        prompt_embeds, negative_prompt_embeds = self.encode_prompt(
-            prompt=prompt,
-            negative_prompt=negative_prompt,
-            do_classifier_free_guidance=self.do_classifier_free_guidance,
-            num_videos_per_prompt=num_videos_per_prompt,
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            max_sequence_length=max_sequence_length,
-            device=device,
-        )
-
-        transformer_dtype = self.transformer.dtype
-        prompt_embeds = prompt_embeds.to(transformer_dtype)
-        if negative_prompt_embeds is not None:
-            negative_prompt_embeds = negative_prompt_embeds.to(transformer_dtype)
-
-        # 4. Prepare timesteps
-        self.scheduler.set_timesteps(num_inference_steps, device=device)
-        timesteps = self.scheduler.timesteps
-
-        # 5. Prepare latent variables
-        num_channels_latents = self.transformer.config.in_channels
-        latents = self.prepare_latents(
-            batch_size * num_videos_per_prompt,
-            num_channels_latents,
-            height,
-            width,
-            num_frames,
-            torch.float32,
-            device,
-            generator,
-            latents,
-        )
-
-        # 6. Denoising loop
-        num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
-        self._num_timesteps = len(timesteps)
-
-        with self.progress_bar(total=num_inference_steps) as progress_bar:
-            for i, t in enumerate(timesteps):
-                if self.interrupt:
-                    continue
-
-                self._current_timestep = t
-                latent_model_input = latents.to(transformer_dtype)
-                timestep = t.expand(latents.shape[0])
-                for block in self.transformer.blocks:
-                    if hasattr(block.attn2, "processor"):
-                        block.attn2.processor.pos = True
-                        
-                noise_pred = self.transformer(
-                    hidden_states=latent_model_input,
-                    timestep=timestep,
-                    encoder_hidden_states=prompt_embeds,
-                    attention_kwargs=attention_kwargs,
-                    return_dict=False,
-                )[0]
-
-                if self.do_classifier_free_guidance:
-                    for block in self.transformer.blocks:
-                        if hasattr(block.attn2, "processor"):
-                            block.attn2.processor.pos = False
-                    noise_uncond = self.transformer(
-                        hidden_states=latent_model_input,
-                        timestep=timestep,
-                        encoder_hidden_states=negative_prompt_embeds,
-                        attention_kwargs=attention_kwargs,
-                        return_dict=False,
-                    )[0]
-                    noise_pred = noise_uncond + guidance_scale * (noise_pred - noise_uncond)
-
-                # compute the previous noisy sample x_t -> x_t-1
-                latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
-
-                if callback_on_step_end is not None:
-                    callback_kwargs = {}
-                    for k in callback_on_step_end_tensor_inputs:
-                        callback_kwargs[k] = locals()[k]
-                    callback_outputs = callback_on_step_end(self, i, t, callback_kwargs)
-
-                    latents = callback_outputs.pop("latents", latents)
-                    prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
-                    negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
-
-                # call the callback, if provided
-                if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
-                    progress_bar.update()
-
-                if XLA_AVAILABLE:
-                    xm.mark_step()
-
-        self._current_timestep = None
-
-        if not output_type == "latent":
-            latents = latents.to(self.vae.dtype)
-            latents_mean = (
-                torch.tensor(self.vae.config.latents_mean)
-                .view(1, self.vae.config.z_dim, 1, 1, 1)
-                .to(latents.device, latents.dtype)
-            )
-            latents_std = 1.0 / torch.tensor(self.vae.config.latents_std).view(1, self.vae.config.z_dim, 1, 1, 1).to(
-                latents.device, latents.dtype
-            )
-            latents = latents / latents_std + latents_mean
-            video = self.vae.decode(latents, return_dict=False)[0]
-            video = self.video_processor.postprocess_video(video, output_type=output_type)
-        else:
-            video = latents
-
-        # Offload all models
-        self.maybe_free_model_hooks()
-
-        if not return_dict:
-            return (video,)
-
-        return WanPipelineOutput(frames=video)

VSF/vsfwan/processor.py

@@ -1,114 +0,0 @@
-
-import torch
-import torch.nn.functional as F
-from typing import Optional
-from diffusers.models.attention_processor import Attention
-
-class WanAttnProcessor2_0:
-    def __init__(self, scale=4, attn_mask=None, neg_prompt_length=0):
-        if not hasattr(F, "scaled_dot_product_attention"):
-            raise ImportError("WanAttnProcessor2_0 requires PyTorch 2.0. To use it, please upgrade PyTorch to 2.0.")
-        self.attn_mask = attn_mask
-        self.neg_prompt_length = neg_prompt_length
-        self.scale = scale
-
-    def __call__(
-        self,
-        attn: Attention,
-        hidden_states: torch.Tensor,
-        encoder_hidden_states: Optional[torch.Tensor] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        rotary_emb: Optional[torch.Tensor] = None,
-    ) -> torch.Tensor:
-        encoder_hidden_states_img = None
-        if attn.add_k_proj is not None:
-            # 512 is the context length of the text encoder, hardcoded for now
-            image_context_length = encoder_hidden_states.shape[1] - 512
-            encoder_hidden_states_img = encoder_hidden_states[:, :image_context_length]
-            encoder_hidden_states = encoder_hidden_states[:, image_context_length:]
-        cross_attn = False
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-            query = attn.to_q(hidden_states)
-            key = attn.to_k(encoder_hidden_states)
-            value = attn.to_v(encoder_hidden_states)
-        else:
-            query = attn.to_q(hidden_states)
-            key = attn.to_k(encoder_hidden_states)
-            value = attn.to_v(encoder_hidden_states)
-            cross_attn = True
-        
-        if cross_attn and self.pos:
-            # print(value.shape, self.neg_prompt_length)
-            value[:,-self.neg_prompt_length:] *= -self.scale # should we flip before
-
-        if attn.norm_q is not None:
-            query = attn.norm_q(query)
-        if attn.norm_k is not None:
-            key = attn.norm_k(key)
-
-        query = query.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        key = key.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        value = value.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-        # print(self.pos) 
-
-        if rotary_emb is not None:
-            def apply_rotary_emb(
-                hidden_states: torch.Tensor,
-                freqs_cos: torch.Tensor,
-                freqs_sin: torch.Tensor, 
-            ):
-                x = hidden_states.view(*hidden_states.shape[:-1], -1, 2)
-                x1, x2 = x[..., 0], x[..., 1]
-                cos = freqs_cos[..., 0::2]
-                sin = freqs_sin[..., 1::2]
-                out = torch.empty_like(hidden_states)
-                out[..., 0::2] = x1 * cos - x2 * sin
-                out[..., 1::2] = x1 * sin + x2 * cos
-                return out.type_as(hidden_states)
-
-            query = apply_rotary_emb(query, *rotary_emb)
-            key = apply_rotary_emb(key, *rotary_emb)
-
-        # I2V task
-        hidden_states_img = None
-        if encoder_hidden_states_img is not None:
-            key_img = attn.add_k_proj(encoder_hidden_states_img)
-            key_img = attn.norm_added_k(key_img)
-            value_img = attn.add_v_proj(encoder_hidden_states_img)
-
-            key_img = key_img.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-            value_img = value_img.unflatten(2, (attn.heads, -1)).transpose(1, 2)
-            print(query.shape, key_img.shape, value_img.shape)
-            hidden_states_img = F.scaled_dot_product_attention(
-                query, key_img, value_img, attn_mask=None, dropout_p=0.0, is_causal=False
-            )
-            hidden_states_img = hidden_states_img.transpose(1, 2).flatten(2, 3)
-            hidden_states_img = hidden_states_img.type_as(query)
-            
-        if self.attn_mask is not None: 
-            self.attn_mask = self.attn_mask.to(query.dtype)
-            
-        if not self.pos:
-            hidden_states = F.scaled_dot_product_attention(
-                query, key, value, dropout_p=0.0, is_causal=False
-            )
-        else:
-            hidden_states = F.scaled_dot_product_attention(
-                query, key, value, attn_mask=self.attn_mask, dropout_p=0.0, is_causal=False
-            )
-        # if cross_attn:
-        #   # print(hidden_states.shape)
-        #   hidden_states_norm = torch.norm(hidden_states, dim=-1, keepdim=True)
-        #   new_norm = torch.where(hidden_states_norm > max_norm * 2, max_norm * 2, hidden_states_norm)
-        #   hidden_states = hidden_states * (new_norm / hidden_states_norm)
-          
-        hidden_states = hidden_states.transpose(1, 2).flatten(2, 3)
-        hidden_states = hidden_states.type_as(query)
-
-        if hidden_states_img is not None:
-            hidden_states = hidden_states + hidden_states_img
-
-        hidden_states = attn.to_out[0](hidden_states)
-        hidden_states = attn.to_out[1](hidden_states)
-        return hidden_states

VSF/wan.md

@@ -1,112 +0,0 @@
-This is experimental, video quality is not ideal and negative prompt following is not as good as SD-3.5.
-The support of Wan 2.1 is thanks to @MeiYi-dev's suggestion of [CausVid LoRA](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors).  
-
-We are looking for CFG-free video generation that can work in HuggingFace Diffusers, this current LoRA cannot provide the best quality. 
-
-Known Issues:
-- The video will has a few frames at the begining that has very high contrast. Could be related to https://github.com/Wan-Video/Wan2.1/issues/369.
-- 
-
-Video compressed when export. All videos are generated with fixed seed 42. All videos are generated using 1.3B model, unless stated otherwise.
-
-## Negative Items Avoiding Examples
-**Positive Prompt:** A chef cat and a chef dog with chef suit baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon.  
-**Negative Prompt:** white dog
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_1.webp) | ![](media/vsf_1.webp) |
-
----
-
-**Positive Prompt:** A cessna flying over a snowy mountain landscape, with a clear blue sky and fluffy white clouds. The plane is flying at a low altitude, casting a shadow on the snow-covered ground below. The mountains are rugged and steep, with patches of evergreen trees visible in the foreground.  
-**Negative Prompt:** trees
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_2.webp) | ![](media/vsf_2.webp) |
-
----
-
-**Positive Prompt:** A cessna flying over a snowy mountain landscape, with a clear blue sky and fluffy white clouds. The plane is flying at a low altitude, casting a shadow on the snow-covered ground below.  
-**Negative Prompt:** plane wings
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_3.webp) | ![](media/vsf_3.webp) |
-
----
-
-**Positive Prompt:** a car driving through a snowy forest, the car is a red sports car with snow on the roof, the trees are tall and covered in snow. The sky is clear and blue  
-**Negative Prompt:** tire tread mark
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_4.webp) | ![](media/vsf_4.webp) |
-
----
-
-**Positive Prompt:** a boat in a stormy sea, the boat is a small fishing boat with a red and white striped sail, the waves are high and crashing against the boat, the sky is dark and cloudy  
-**Negative Prompt:** sail
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_5.webp) | ![](media/vsf_5.webp) |
-
----
-
-**Positive Prompt:** a cat running in the field, the cat is wearing a red scarf and a blue hat, the field is full of flowers and the sky is clear  
-**Negative Prompt:** camera motion
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_6.webp) | ![](media/vsf_6.webp) |
-
----
-**Positive Prompt:** A stream of molten lava pouring from a large industrial metal tube onto a cracked, scorched floor, surrounded by rising smoke and heat distortion, dark background with minimal lighting  
-
-**Negative Prompt:** red hot, glowing
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_7.webp) | ![](media/vsf_7.webp) |
-
----
-**Positive Prompt:** A camouflaged crab blends into the rocky, sandy seafloor, matching its surroundings perfectly in texture, color, and shape, making it very hard to distinguish from the background. The crab moves subtly across the substrate, with its motion barely noticeable and its body consistently mimicking the appearance of rocks and sand clusters.
-
-**Negative Prompt:** the animal is easy to see. It is clearly visible, standing out, different than the background
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_8.webp) | ![](media/vsf_8.webp) |
-
----
-**Positive Prompt:** A flatfish camouflaged against a sandy seabed, blending in perfectly through texture, color, and shape. The animal is hard to distinguish as it subtly shifts and moves, almost invisible to the untrained eye due to its sophisticated camouflage.
-
-**Negative Prompt:** the animal is easy to see. It is clearly visible, standing out, different than the background
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_9.webp) | ![](media/vsf_9.webp) |
-
-
-
-## Quality Improvement Examples
-Scale: 1.5, Offset: -0.05
-
-
-**Positive Prompt:** A chef cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The cat is wearing a chef suit  
-**Negative Prompt:** low quality
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_10.webp) | ![](media/vsf_10.webp) |
-
----
-
-**Positive Prompt:** An underground volcanic eruption violently ejecting glowing lava through a cracked earth surface, with molten rock bursting upward, smoke and ash filling the air, and the ground trembling from the force, shot in cinematic 4K slow motion, realistic style, wide-angle view, night setting with red and orange lava lighting up the surroundings.
-**Negative Prompt:** low quality, low resolution
-
-| Original | VSF |
-|----------|-----|
-| ![](media/original_11.webp) | ![](media/vsf_11.webp) |

app.py

@@ -18,12 +18,12 @@ except ImportError:
             return fn
         
 import sys
-sys.path.append("VSF")
 model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 from src.sd3_pipeline import VSFStableDiffusion3Pipeline
 pipe = VSFStableDiffusion3Pipeline.from_pretrained(
     "stabilityai/stable-diffusion-3.5-large-turbo",
     torch_dtype=torch.bfloat16,
+    hf_token=os.environ.get("HF_TOKEN", None)
 ).to("cuda")
 import os
 @spaces.GPU