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Hemanth-thunder
/
stable_diffusion_lora

Text-to-Image
Diffusers
TensorBoard
Trained with AutoTrain
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Hemanth-thunder/stable_diffusion_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Hemanth-thunder/stable_diffusion_lora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Hemanth-thunder/stable_diffusion_lora", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "hmat"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
stable_diffusion_lora / autotrain-advanced /docs /source
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  • 1 contributor
History: 1 commit
Hemanth-thunder's picture
Hemanth-thunder
End of training
c0551d3 almost 3 years ago
  • _toctree.yml
    676 Bytes
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  • cost.mdx
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  • dreambooth.mdx
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  • getting_started.mdx
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  • image_classification.mdx
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  • index.mdx
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  • llm_finetuning.mdx
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  • model_choice.mdx
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  • param_choice.mdx
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  • support.mdx
    448 Bytes
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  • text_classification.mdx
    1.95 kB
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