flux-lora-littletinies

This is a LoRA derived from FLUX.1-dev/.

The main validation prompt used during training was:

ethnographic photography of teddy bear at a picnic

Validation settings

• CFG: 7.5
• CFG Rescale: 0.7
• Steps: 50
• Sampler: None
• Seed: 42
• Resolution: 1024

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: 23
• Training steps: 1800
• Learning rate: 0.0001
• Effective batch size: 16
  • Micro-batch size: 8
  • Gradient accumulation steps: 2
  • Number of GPUs: 1
• Prediction type: epsilon
• Rescaled betas zero SNR: False
• Optimizer: AdamW, stochastic bf16
• Precision: Pure BF16
• Xformers: Enabled
• LoRA Rank: 64
• LoRA Alpha: 16
• LoRA Dropout: 0.1
• LoRA initialisation style: default

Datasets

little-tinies

• Repeats: 18
• Total number of images: 78
• Total number of aspect buckets: 1
• Resolution: 1.0 megapixels
• Cropped: False
• Crop style: None
• Crop aspect: None

Inference

import torch
from diffusers import DiffusionPipeline

model_id = '/black-forest-labs/FLUX.1-dev'
adapter_id = 'flux_Training'
pipeline = DiffusionPipeline.from_pretrained(model_id)\pipeline.load_adapter(adapter_id)

prompt = "ethnographic photography of teddy bear at a picnic"
negative_prompt = "blurry, cropped, ugly"

pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=prompt,
    negative_prompt='blurry, cropped, ugly',
    num_inference_steps=50,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1152,
    height=768,
    guidance_scale=7.5,
    guidance_rescale=0.7,
).images[0]
image.save("output.png", format="PNG")

inference: true widget:

• text: 'unconditional (blank prompt)' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./image0.png
• text: 'ethnographic photography of teddy bear at a picnic' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./image1.png
• text: 'a robot walking on the street,surrounded by a group of girls' parameters: negative_prompt: 'blurry, cropped, ugly'