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Fatha
/
lora-training

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
simpletuner
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use Fatha/lora-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Fatha/lora-training with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Fatha/lora-training")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
lora-training
9.39 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Fatha's picture
Fatha
Model card auto-generated by SimpleTuner
278c614 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.34 kB
    Model card auto-generated by SimpleTuner over 1 year ago
  • pytorch_lora_weights.safetensors
    9.39 MB
    xet
    Trained for 1999 epochs and 2000 steps. over 1 year ago