Upload folder using huggingface_hub

.gitattributes

@@ -1,35 +1,10 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+#
+# https://help.github.com/articles/dealing-with-line-endings/
+#
+# Linux start script should use lf
+/gradlew        text eol=lf
+
+# These are Windows script files and should use crlf
+*.bat           text eol=crlf
+
+SD3_API.ipynb filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,5 @@
+# Ignore Gradle project-specific cache directory
+.gradle
+
+# Ignore Gradle build output directory
+build

README.md

@@ -1,15 +1,19 @@
 ---
 title: Suanfamama_AIGC_alg2
-emoji: 🎨
-colorFrom: blue
-colorTo: indigo
-sdk: gradio
-sdk_version: 4.36.1
 app_file: app.py
-pinned: true
-license: mit
+sdk: gradio
+sdk_version: 4.29.0
 ---
 
 # alg 算法
-## How to Deploy to Huggingface Spaces
-* gradio deploy
+## 基于Stable Diffusion的文生图算法模型调试
+## How to Deploy
+```zsh
+gradio deploy
+```
+
+## 文生图模型 正向关键词 测试列表
+1. Create an image of a vibrant outdoor scene with a group of diverse, fit individuals engaged in activities like yoga, running, and cycling. They are wearing stylish, eco-friendly activewear with sleek designs and vibrant colors. Include subtle elements of nature like leaves, flowers, or water flowing around the subjects to emphasize the eco-friendly aspect. The scene should evoke a sense of harmony with nature and active lifestyle.
+2. Create an image of a clean, modern kitchen or office setting with lots of natural light. Show a diverse group of people using eco-friendly, reusable water bottles and travel mugs. Include scenes like a commuter sipping from a travel mug, a jogger hydrating with a water bottle, and an office worker refilling a bottle at a water station. Focus on the sleek design and eco-friendly materials of the bottles and mugs. Incorporate subtle eco-friendly icons or elements like a recycling symbol or green leaves. Use vibrant colors to make the products stand out.
+3. Create an image of a serene, spa-like setting with natural elements such as plants, wooden textures, and soft lighting. Show a diverse group of individuals with glowing skin using organic, cruelty-free skincare products. Highlight different products like face serums, moisturizers, and cleansers. Focus on the natural ingredients and eco-friendly packaging of the products. Incorporate elements like leaves, flowers, and water to emphasize the organic nature of the products. Use soft, earthy tones to create a calm and inviting atmosphere.
+4. Create an image of a modern, cozy home setting with smart security devices subtly integrated into the environment. Show a family at home, feeling safe and secure due to the presence of security cameras, smart doorbells, and sensors. Highlight moments like kids playing, parents relaxing, and the devices in action, such as a smartphone showing the security app. Focus on the sleek design of the security devices and their seamless integration into the home. Use warm lighting to create a welcoming and secure atmosphere. Include subtle icons or text indicating advanced features like real-time alerts, HD video, and 24/7 monitoring.

SD3_API.ipynb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a9240cf84ac5e3bfba4bebc82ded5d0d4e8df7f0d07a1b88780a919e251074f
+size 10791648

app.py

@@ -1,150 +1,37 @@
-import os
 import gradio as gr
-import numpy as np
-import random
 import torch
-from diffusers import StableDiffusion3Pipeline, SD3Transformer2DModel, FlowMatchEulerDiscreteScheduler
-from huggingface_hub import snapshot_download
-import spaces
+from diffusers import StableDiffusion3Pipeline
 
-huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
+# Load the model
+pipe = StableDiffusion3Pipeline.from_pretrained(
+    "stable-diffusion-3-medium-diffusers",
+    torch_dtype=torch.float16
+)
+pipe = pipe.to("cuda:1")
 
-model_path = snapshot_download(
-    repo_id="stabilityai/stable-diffusion-3-medium", 
-    revision="refs/pr/26",
-    repo_type="model", 
-    ignore_patterns=["*.md", "*..gitattributes"],
-    local_dir="stable-diffusion-3-medium",
-    token=huggingface_token, # type a new token-id.
-    )
-#repo = "stabilityai/stable-diffusion-3-medium-diffusers"
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-dtype = torch.float16
-
-pipe = StableDiffusion3Pipeline.from_pretrained(model_path, torch_dtype=torch.float16).to(device)
-
-MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1344
-
-@spaces.GPU
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
-
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-        
-    generator = torch.Generator().manual_seed(seed)
-    
+def generate_image(prompt, negative_prompt, num_inference_steps, guidance_scale):
+    # Generate the image
     image = pipe(
-        prompt = prompt, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
-        num_inference_steps = num_inference_steps, 
-        width = width, 
-        height = height,
-        generator = generator
-    ).images[0] 
-    
-    return image, seed
-
-examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
-]
-
-css="""
-#col-container {
-    margin: 0 auto;
-    max-width: 580px;
-}
-"""
-
-with gr.Blocks(css=css) as demo:
-    
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""
-        # Demo [Stable Diffusion 3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium)
-        Learn more about the [Stable Diffusion 3 series](https://stability.ai/news/stable-diffusion-3). Try on [Stability AI API](https://platform.stability.ai/docs/api-reference#tag/Generate/paths/~1v2beta~1stable-image~1generate~1sd3/post), [Stable Assistant](https://stability.ai/stable-assistant), or on Discord via [Stable Artisan](https://stability.ai/stable-artisan). Run locally with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [diffusers](https://github.com/huggingface/diffusers)
-        """)
-        
-        with gr.Row():
-            
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            
-            run_button = gr.Button("Run", scale=0)
-        
-        result = gr.Image(label="Result", show_label=False)
-
-        with gr.Accordion("Advanced Settings", open=False):
-            
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-            )
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-            with gr.Row():
-                
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=64,
-                    value=1024,
-                )
-                
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=64,
-                    value=1024,
-                )
-            
-            with gr.Row():
-                
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=5.0,
-                )
-                
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=28,
-                )
-        
-        gr.Examples(
-            examples = examples,
-            inputs = [prompt]
-        )
-    gr.on(
-        triggers=[run_button.click, prompt.submit, negative_prompt.submit],
-        fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs = [result, seed]
-    )
-
-demo.launch()
+        prompt,
+        negative_prompt=negative_prompt,
+        num_inference_steps=num_inference_steps,
+        guidance_scale=guidance_scale
+    ).images[0]
+    return image
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.Textbox(label="正向提示词"),
+        gr.Textbox(label="负向提示词", placeholder="Optional"),
+        gr.Slider(step=1, minimum=1, maximum=100, value=28, label="推理步数"),
+        gr.Slider(minimum=1.0, maximum=20.0, step=0.1, value=7.0, label="Guidance Scale")
+    ],
+    outputs="image",
+    title="Stable Diffusion 3 Image Generator",
+    description="Generate images with Stable Diffusion 3. Type a prompt and see the magic!"
+)
+
+# Launch the interface
+interface.launch(server_name="0.0.0.0", server_port=8912, inbrowser=True, share=False)

brand.EcoSip.md

@@ -0,0 +1,43 @@
+# Brand: EcoSip
+
+## Core Products
+- Eco-friendly, reusable water bottles and travel mugs
+
+## Target Audience:
+- Environmentally conscious consumers
+- Active lifestyle enthusiasts
+- Office workers and commuters
+
+## Image-Based Ad:
+### Ad Concept:
+- Tagline: "Sip Sustainably. Drink Responsibly."
+### Visual Description:
+- Background: A clean, modern kitchen or office setting with lots of natural light.
+- Main Subjects: A diverse group of people using EcoSip products in various scenarios (e.g., a commuter sipping from a travel mug, a jogger hydrating with a water bottle, an office worker refilling a bottle at a water station).
+- Product Highlight: Focus on the sleek design and eco-friendly materials of the bottles and mugs. Incorporate subtle eco-friendly icons or elements, like a recycling symbol or green leaves.
+- Additional Elements: Use vibrant colors to make the products stand out and to evoke a sense of freshness and responsibility.
+### Ad Copy:
+#### Header:
+- "Hydrate Green with EcoSip"
+#### Subheader:
+- "Eco-Friendly Bottles and Mugs for Every Lifestyle"
+#### Body Text:
+"Join the movement towards a sustainable future. Our reusable bottles and mugs are designed to keep you hydrated while reducing plastic waste. Perfect for work, travel, and fitness. Choose EcoSip and make a difference!"
+#### Call to Action (CTA):
+"Shop Now and Get 15% Off Your First Order! 🌍💧"
+#### Footer:
+- Website: www.ecosip.com
+- Social Media Icons: Instagram, Facebook, Twitter (@EcoSipOfficial)
+#### Stable Diffusion/MidJourney Prompt:
+- Create an image of a clean, modern kitchen or office setting with lots of natural light. Show a diverse group of people using eco-friendly, reusable water bottles and travel mugs. Include scenes like a commuter sipping from a travel mug, a jogger hydrating with a water bottle, and an office worker refilling a bottle at a water station. Focus on the sleek design and eco-friendly materials of the bottles and mugs. Incorporate subtle eco-friendly icons or elements like a recycling symbol or green leaves. Use vibrant colors to make the products stand out.
+#### Final Ad Layout:
+##### Top Section:
+- Header: "Hydrate Green with EcoSip"
+##### Image Section:
+- The generated image from Stable Diffusion/MidJourney.
+##### Middle Section:
+- Subheader: "Eco-Friendly Bottles and Mugs for Every Lifestyle"
+- Body Text: "Join the movement towards a sustainable future. Our reusable bottles and mugs are designed to keep you hydrated while reducing plastic waste. Perfect for work, travel, and fitness. Choose EcoSip and make a difference!"
+##### Bottom Section:
+- CTA: "Shop Now and Get 15% Off Your First Order! 🌍💧"
+- Footer: Website and Social Media Icons

brand.GreenGlow.Skincare.md

@@ -0,0 +1,43 @@
+# Brand: GreenGlow Skincare
+## Core Products
+- Organic, cruelty-free skincare products
+
+## Target Audience:
+- Health and beauty enthusiasts
+- Environmentally conscious consumers
+- Individuals seeking natural and organic skincare solutions
+
+## Image-Based Ad:
+### Ad Concept:
+- Tagline: "Nourish Your Skin Naturally."
+### Visual Description:
+- Background: A serene, spa-like setting with natural elements such as plants, wooden textures, and soft lighting.
+- Main Subjects: A diverse group of individuals with glowing skin using GreenGlow products. Highlight different products like face serums, moisturizers, and cleansers.
+- Product Highlight: Focus on the natural ingredients and eco-friendly packaging of the products. Incorporate elements like leaves, flowers, and water to emphasize the organic nature of the products.
+- Additional Elements: Use soft, earthy tones to create a calm and inviting atmosphere.
+### Ad Copy:
+#### Header:
+- "Experience Pure Beauty with GreenGlow"
+#### Subheader:
+- "Organic, Cruelty-Free Skincare for Radiant Results"
+#### Body Text:
+- "Treat your skin to the best nature has to offer. Our organic and cruelty-free skincare products are crafted with pure ingredients to nourish and rejuvenate your skin. Discover the power of GreenGlow for a radiant, healthy complexion."
+#### Call to Action (CTA):
+- "Shop Now and Get 10% Off Your First Order! 🌿✨"
+#### Footer:
+- Website: www.greenglow.com
+- Social Media Icons: Instagram, Facebook, Twitter (@GreenGlowSkincare)
+#### Stable Diffusion/MidJourney Prompt:
+- Create an image of a serene, spa-like setting with natural elements such as plants, wooden textures, and soft lighting. Show a diverse group of individuals with glowing skin using organic, cruelty-free skincare products. Highlight different products like face serums, moisturizers, and cleansers. Focus on the natural ingredients and eco-friendly packaging of the products. Incorporate elements like leaves, flowers, and water to emphasize the organic nature of the products. Use soft, earthy tones to create a calm and inviting atmosphere.
+#### Final Ad Layout:
+##### Top Section:
+- Header: "Experience Pure Beauty with GreenGlow"
+##### Image Section:
+- The generated image from Stable Diffusion/MidJourney.
+##### Middle Section:
+- Subheader: "Organic, Cruelty-Free Skincare for Radiant Results"
+- Body Text: "Treat your skin to the best nature has to offer. Our organic and cruelty-free skincare products are crafted with pure ingredients to nourish and rejuvenate your skin. Discover the power of GreenGlow for a radiant, healthy complexion."
+##### Bottom Section:
+- CTA: "Shop Now and Get 10% Off Your First Order! 🌿✨"
+- Footer: Website and Social Media Icons
+With this plan, you can use Stable Diffusion or MidJourney to generate the visual, and combine it with the ad copy to create an appealing and effective image-based ad for GreenGlow Skincare.

brand.LumaWear.md

@@ -0,0 +1,43 @@
+# Brand: LumaWear
+
+## Core Products
+- Innovative, eco-friendly, and stylish activewear
+
+## Target Audience
+- Health-conscious individuals
+- Environmentally aware consumers
+- Fashion-forward fitness enthusiasts
+
+## Image-Based Ad
+### Ad Concept
+- Tagline: "Move with the Planet. Style with a Purpose."
+### Visual Description
+- Background: A vibrant outdoor scene, such as a lush green forest or a serene beach at sunset.
+- Main Subjects: Diverse group of fit individuals engaged in various physical activities (yoga, running, cycling) wearing LumaWear activewear.
+- Product Highlight: Focus on the details of the activewear - sleek designs, eco-friendly materials, and vibrant colors.
+- Additional Elements: Subtle elements of nature intertwined with the clothing (e.g., leaves, flowers, or water flowing around the subjects) to emphasize the eco-friendly aspect.
+### Ad Copy
+#### Header
+- "Embrace Nature, Empower Your Workout"
+#### Subheader
+- "LumaWear - Eco-Friendly Activewear for the Conscious Athlete"
+#### Body Text
+- "Discover the perfect blend of style, performance, and sustainability. Our activewear is crafted from recycled materials, ensuring you move with confidence and care for the planet. Join the LumaWear movement today!"
+#### Call to Action (CTA)
+- "Shop Now and Get 20% Off Your First Purchase! 🌿👟"
+#### Footer
+- Website: www.lumawear.com
+- Social Media Icons: Instagram, Facebook, Twitter (@LumaWearOfficial)
+#### Stable Diffusion/MidJourney Prompt
+- Create an image of a vibrant outdoor scene with a group of diverse, fit individuals engaged in activities like yoga, running, and cycling. They are wearing stylish, eco-friendly activewear with sleek designs and vibrant colors. Include subtle elements of nature like leaves, flowers, or water flowing around the subjects to emphasize the eco-friendly aspect. The scene should evoke a sense of harmony with nature and active lifestyle.
+### Final Ad Layout:
+#### Top Section:
+- Header: "Embrace Nature, Empower Your Workout"
+#### Image Section:
+- The generated image from Stable Diffusion/MidJourney.
+#### Middle Section:
+- Subheader: "LumaWear - Eco-Friendly Activewear for the Conscious Athlete"
+- Body Text: "Discover the perfect blend of style, performance, and sustainability. Our activewear is crafted from recycled materials, ensuring you move with confidence and care for the planet. Join the LumaWear movement today!"
+#### Bottom Section:
+- CTA: "Shop Now and Get 20% Off Your First Purchase! 🌿👟"
+- Footer: Website and Social Media Icons

brand.TechGuard.md

@@ -0,0 +1,43 @@
+# Brand: TechGuard
+## Core Products: 
+- Cutting-edge home security systems
+
+## Target Audience:
+- Homeowners
+- Families
+- Tech-savvy individuals
+- Security-conscious consumers
+
+## Image-Based Ad:
+### Ad Concept:
+- Tagline: "Protect What Matters Most."
+### Visual Description:
+- Background: A modern, cozy home setting with smart security devices subtly integrated into the environment (e.g., security cameras, smart doorbells, and sensors).
+- Main Subjects: A family at home, feeling safe and secure due to the presence of TechGuard devices. Highlight moments like kids playing, parents relaxing, and the devices in action (e.g., a smartphone showing the security app).
+- Product Highlight: Focus on the sleek design of the security devices and their seamless integration into the home. Emphasize the user-friendly app interface on a smartphone or tablet.
+- Additional Elements: Use warm lighting to create a welcoming and secure atmosphere. Include subtle icons or text indicating advanced features like real-time alerts, HD video, and 24/7 monitoring.
+### Ad Copy:
+#### Header:
+- "Your Home, Secure with TechGuard"
+#### Subheader:
+- "Advanced Home Security Solutions for Ultimate Peace of Mind"
+#### Body Text:
+- "Ensure the safety of your loved ones with our state-of-the-art home security systems. TechGuard offers real-time alerts, HD video monitoring, and 24/7 protection, all accessible through our easy-to-use app. Trust TechGuard to protect what matters most."
+#### Call to Action (CTA):
+- "Order Now and Get Free Installation! 🏡🔒"
+#### Footer:
+- Website: www.techguard.com
+- Social Media Icons: Instagram, Facebook, Twitter (@TechGuardSecure)
+#### Stable Diffusion/MidJourney Prompt:
+- the above #4 prompt
+### Final Ad Layout:
+#### Top Section:
+- Header: "Your Home, Secure with TechGuard"
+#### Image Section:
+- The generated image from Stable Diffusion/MidJourney.
+#### Middle Section:
+- Subheader: "Advanced Home Security Solutions for Ultimate Peace of Mind"
+- Body Text: "Ensure the safety of your loved ones with our state-of-the-art home security systems. TechGuard offers real-time alerts, HD video monitoring, and 24/7 protection, all accessible through our easy-to-use app. Trust TechGuard to protect what matters most."
+#### Bottom Section:
+- CTA: "Order Now and Get Free Installation! 🏡🔒"
+- Footer: Website and Social Media Icons

requirements.txt

@@ -1,4 +1,4 @@
-git+https://github.com/huggingface/diffusers.git
-transformers
-accelerate
-sentencepiece
+gradio
+torch
+diffusers
+transformers

sd3_api.py

@@ -0,0 +1,365 @@
+# -*- coding: utf-8 -*-
+"""SD3_API.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/github/stability-ai/stability-sdk/blob/main/nbs/SD3_API.ipynb
+
+# SD3 and SD3-Turbo
+
+Welcome. This notebook can be used to try out the SD3 service from Stability.
+
+
+---
+
+
+
+New to colab? Just hit the play button on each of the cells and follow instructions.
+
+You will need an account on https://platform.stability.ai/ to use the features.
+
+Have fun and do great things.
+"""
+
+#@title Install requirements
+from io import BytesIO
+import IPython
+import json
+import os
+from PIL import Image
+import requests
+import time
+from google.colab import output
+
+#@title Connect to the Stability API
+
+import getpass
+# @markdown To get your API key visit https://platform.stability.ai/account/keys
+STABILITY_KEY = getpass.getpass('Enter your API Key')
+
+#@title Define functions
+
+def send_generation_request(
+    host,
+    params,
+):
+    headers = {
+        "Accept": "image/*",
+        "Authorization": f"Bearer {STABILITY_KEY}"
+    }
+
+    # Encode parameters
+    files = {}
+    image = params.pop("image", None)
+    mask = params.pop("mask", None)
+    if image is not None and image != '':
+        files["image"] = open(image, 'rb')
+    if mask is not None and mask != '':
+        files["mask"] = open(mask, 'rb')
+    if len(files)==0:
+        files["none"] = ''
+
+    # Send request
+    print(f"Sending REST request to {host}...")
+    response = requests.post(
+        host,
+        headers=headers,
+        files=files,
+        data=params
+    )
+    if not response.ok:
+        raise Exception(f"HTTP {response.status_code}: {response.text}")
+
+    return response
+
+"""# Generate
+
+Stable Image services include one offering currently in production:
+
+- SD3 Large:  The 2 billion parameter model. This service will use 6.5 credits.
+- SD3 Large Turbo:  The 8 billion parameter model. This service will use 4 credits.
+- SD3 Medium: The 8 billion parameter model with a faster inference time. This service will use 3.5 credits.
+
+See https://platform.stability.ai/docs/api-reference#tag/Generate
+
+Try these services out in the sections below. Check back in for regular updates.
+
+Feedback welcome.
+
+# Text to Image
+"""
+
+#@title SD3 Large
+
+prompt = "This dreamlike digital art captures a vibrant, kaleidoscopic bird in a lush rainforest" #@param {type:"string"}
+negative_prompt = "" #@param {type:"string"}
+aspect_ratio = "1:1" #@param ["21:9", "16:9", "3:2", "5:4", "1:1", "4:5", "2:3", "9:16", "9:21"]
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+    "prompt" : prompt,
+    "negative_prompt" : negative_prompt,
+    "aspect_ratio" : aspect_ratio,
+    "seed" : seed,
+    "output_format" : output_format,
+    "model" : "sd3-large",
+    "mode" : "text-to-image"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))
+
+#@title SD3 Large Turbo
+
+prompt = "A car made out of vegetables." #@param {type:"string"}
+aspect_ratio = "1:1" #@param ["21:9", "16:9", "3:2", "5:4", "1:1", "4:5", "2:3", "9:16", "9:21"]
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+    "prompt" : prompt,
+    "aspect_ratio" : aspect_ratio,
+    "seed" : seed,
+    "output_format" : output_format,
+    "model" : "sd3-large-turbo"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))
+
+#@title SD3 Medium
+
+prompt = "glowing mushroom in the alchemist's garden" #@param {type:"string"}
+aspect_ratio = "1:1" #@param ["21:9", "16:9", "3:2", "5:4", "1:1", "4:5", "2:3", "9:16", "9:21"]
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+    "prompt" : prompt,
+    "aspect_ratio" : aspect_ratio,
+    "seed" : seed,
+    "output_format" : output_format,
+    "model" : "sd3-medium"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))
+
+"""# Image to Image"""
+
+#@title SD3 Large
+#@markdown - Drag and drop image to file folder on left
+#@markdown - Right click it and choose Copy path
+#@markdown - Paste that path into image field below
+#@markdown <br><br>
+
+image = "/content/veggiecar.png" #@param {type:"string"}
+prompt = "A car made out of  fruits" #@param {type:"string"}
+negative_prompt = "" #@param {type:"string"}
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+strength = 0.75 #@param {type:"slider", min:0.0, max: 1.0, step: 0.01}
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+    "image" : image,
+    "prompt" : prompt,
+    "negative_prompt" : negative_prompt,
+    "strength" : strength,
+    "seed" : seed,
+    "output_format": output_format,
+    "model" : "sd3-large",
+    "mode" : "image-to-image"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))
+
+#@title SD3 Large Turbo
+#@markdown - Drag and drop image to file folder on left
+#@markdown - Right click it and choose Copy path
+#@markdown - Paste that path into image field below
+#@markdown <br><br>
+
+image = "/content/veggiecar.png" #@param {type:"string"}
+prompt = "A car made out of flowers" #@param {type:"string"}
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+strength = 0.75 #@param {type:"slider", min:0.0, max: 1.0, step: 0.01}
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+        "image" : image,
+        "prompt" : prompt,
+        "strength" : strength,
+        "seed" : seed,
+        "output_format": output_format,
+        "mode" : "image-to-image",
+        "model" : "sd3-large-turbo"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))
+
+#@title SD3 Medium
+#@markdown - Drag and drop image to file folder on left
+#@markdown - Right click it and choose Copy path
+#@markdown - Paste that path into image field below
+#@markdown <br><br>
+
+image = "/content/veggiecar.png" #@param {type:"string"}
+prompt = "A car made out of mushrooms" #@param {type:"string"}
+seed = 0 #@param {type:"integer"}
+output_format = "jpeg" #@param ["jpeg", "png"]
+strength = 0.75 #@param {type:"slider", min:0.0, max: 1.0, step: 0.01}
+
+host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
+
+params = {
+        "image" : image,
+        "prompt" : prompt,
+        "strength" : strength,
+        "seed" : seed,
+        "output_format": output_format,
+        "mode" : "image-to-image",
+        "model" : "sd3-medium"
+}
+
+response = send_generation_request(
+    host,
+    params
+)
+
+# Decode response
+output_image = response.content
+finish_reason = response.headers.get("finish-reason")
+seed = response.headers.get("seed")
+
+# Check for NSFW classification
+if finish_reason == 'CONTENT_FILTERED':
+    raise Warning("Generation failed NSFW classifier")
+
+# Save and display result
+generated = f"generated_{seed}.{output_format}"
+with open(generated, "wb") as f:
+    f.write(output_image)
+print(f"Saved image {generated}")
+
+output.no_vertical_scroll()
+print("Result image:")
+IPython.display.display(Image.open(generated))