metadata
license: other
base_model: black-forest-labs/FLUX.1-dev
tags:
- flux
- flux-diffusers
- text-to-image
- diffusers
- simpletuner
- lora
- template:sd-lora
inference: true
widget:
- text: unconditional (blank prompt)
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_0_0.png
- text: unconditional (blank prompt)
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_1.png
- text: >-
A bustling kitchen scene with three chefs in white uniforms and tall hats.
The chef in the foreground, a woman with her hair in a tight bun, is
pointing emphatically at a large pot on the stove with her right index
finger. Her left hand holds a wooden spoon, and her expression is one of
intense concentration. To her right, a male chef is chopping vegetables on
a cutting board, but his head is turned towards where his colleague is
pointing. In the background, the third chef is reaching up to a high
shelf, pointing with his left hand at a specific spice jar. Steam rises
from several pots on the industrial stove, and stainless steel appliances
gleam in the bright kitchen lighting. The scene conveys a sense of urgency
and coordination in a professional kitchen environment.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: >-
A bustling kitchen scene with three chefs in white uniforms and tall hats.
The chef in the foreground, a woman with her hair in a tight bun, is
pointing emphatically at a large pot on the stove with her right index
finger. Her left hand holds a wooden spoon, and her expression is one of
intense concentration. To her right, a male chef is chopping vegetables on
a cutting board, but his head is turned towards where his colleague is
pointing. In the background, the third chef is reaching up to a high
shelf, pointing with his left hand at a specific spice jar. Steam rises
from several pots on the industrial stove, and stainless steel appliances
gleam in the bright kitchen lighting. The scene conveys a sense of urgency
and coordination in a professional kitchen environment.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_1.png
pointerpointer-v1
This is a standard PEFT LoRA derived from black-forest-labs/FLUX.1-dev.
The main validation prompt used during training was:
A bustling kitchen scene with three chefs in white uniforms and tall hats. The chef in the foreground, a woman with her hair in a tight bun, is pointing emphatically at a large pot on the stove with her right index finger. Her left hand holds a wooden spoon, and her expression is one of intense concentration. To her right, a male chef is chopping vegetables on a cutting board, but his head is turned towards where his colleague is pointing. In the background, the third chef is reaching up to a high shelf, pointing with his left hand at a specific spice jar. Steam rises from several pots on the industrial stove, and stainless steel appliances gleam in the bright kitchen lighting. The scene conveys a sense of urgency and coordination in a professional kitchen environment.
Validation settings
- CFG:
3.0
- CFG Rescale:
0.0
- Steps:
25
- Sampler:
None
- Seed:
42
- Resolutions:
1024x1024,832x1216
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 3
- Training steps: 100
- Learning rate: 0.0002
- Effective batch size: 90
- Micro-batch size: 45
- Gradient accumulation steps: 2
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: bf16
- Quantised: No
- Xformers: Not used
- LoRA Rank: 16
- LoRA Alpha: None
- LoRA Dropout: 0.1
- LoRA initialisation style: default
Datasets
pointerpointer
- Repeats: 0
- Total number of images: 711
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: True
- Crop style: center
- Crop aspect: square
Inference
import torch
from diffusers import DiffusionPipeline
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'MaheshNat/pointerpointer-v1'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)
prompt = "A bustling kitchen scene with three chefs in white uniforms and tall hats. The chef in the foreground, a woman with her hair in a tight bun, is pointing emphatically at a large pot on the stove with her right index finger. Her left hand holds a wooden spoon, and her expression is one of intense concentration. To her right, a male chef is chopping vegetables on a cutting board, but his head is turned towards where his colleague is pointing. In the background, the third chef is reaching up to a high shelf, pointing with his left hand at a specific spice jar. Steam rises from several pots on the industrial stove, and stainless steel appliances gleam in the bright kitchen lighting. The scene conveys a sense of urgency and coordination in a professional kitchen environment."
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
num_inference_steps=25,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=1024,
height=1024,
guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")