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sassad
/
face-lora

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

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

  • Libraries
  • Diffusers

    How to use sassad/face-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("sassad/face-lora")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
face-lora
6.99 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
sassad's picture
sassad
End of training
712e417 verified about 2 years ago
  • Mar4at2-46PM-poly
    End of training about 2 years ago
  • camera_paths
    End of training about 2 years ago
  • checkpoint-300
    End of training about 2 years ago
  • checkpoint-500
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  • images
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  • images_2
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  • images_4
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  • images_8
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  • logs
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  • .DS_Store
    6.15 kB
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  • .gitattributes
    1.65 kB
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  • README.md
    1.28 kB
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  • image_0.png
    890 kB
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  • image_1.png
    801 kB
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  • image_2.png
    898 kB
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  • image_3.png
    868 kB
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  • pytorch_lora_weights.safetensors
    3.36 MB
    xet
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  • transforms.json
    68.4 kB
    End of training about 2 years ago