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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 /cli
35.1 kB
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  • 1 contributor
History: 1 commit

This model has 1 file scanned as suspicious.

Hemanth-thunder's picture
Hemanth-thunder
End of training
c0551d3 almost 3 years ago
  • __init__.py
    310 Bytes
    End of training almost 3 years ago
  • accelerated_autotrain.py
    0 Bytes
    End of training almost 3 years ago
  • autotrain.py
    1.16 kB
    End of training almost 3 years ago
  • run_app.py
    1.4 kB
    End of training almost 3 years ago
  • run_dreambooth.py
    14.8 kB
    End of training almost 3 years ago
  • run_llm.py
    14.8 kB
    End of training almost 3 years ago
  • run_setup.py
    2.62 kB
    End of training almost 3 years ago