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armhebb
/
sample_lora_train

Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use armhebb/sample_lora_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use armhebb/sample_lora_train with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("armhebb/sample_lora_train")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
sample_lora_train / logs
6.18 MB
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  • 1 contributor
History: 1 commit
armhebb's picture
armhebb
End of training
737f479 over 2 years ago
  • text2image-fine-tune
    End of training over 2 years ago