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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 /src /autotrain
313 kB
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  • 1 contributor
History: 1 commit
Hemanth-thunder's picture
Hemanth-thunder
End of training
c0551d3 almost 3 years ago
  • cli
    End of training almost 3 years ago
  • infer
    End of training almost 3 years ago
  • preprocessor
    End of training almost 3 years ago
  • tests
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  • trainers
    End of training almost 3 years ago
  • __init__.py
    824 Bytes
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  • app.py
    37.9 kB
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  • config.py
    306 Bytes
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  • dataset.py
    12.4 kB
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  • dreambooth_app.py
    17.6 kB
    End of training almost 3 years ago
  • help.py
    1.48 kB
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  • languages.py
    197 Bytes
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  • params.py
    17.2 kB
    End of training almost 3 years ago
  • project.py
    8.24 kB
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  • splits.py
    64 Bytes
    End of training almost 3 years ago
  • tasks.py
    2.78 kB
    End of training almost 3 years ago
  • utils.py
    8.22 kB
    End of training almost 3 years ago