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alexcasq
/
OUTPUT

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use alexcasq/OUTPUT 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("alexcasq/OUTPUT")
    
    prompt = "a photo of sks alexcasq"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
OUTPUT
70.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
alexcasq's picture
alexcasq
End of training
d2a4b88 over 3 years ago
  • checkpoint-100
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  • checkpoint-200
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  • checkpoint-300
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  • checkpoint-400
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  • checkpoint-500
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  • .gitattributes
    1.67 kB
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  • .gitignore
    15 Bytes
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  • README.md
    592 Bytes
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  • image_0.png
    458 kB
    xet
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  • image_1.png
    423 kB
    xet
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  • image_2.png
    842 Bytes
    xet
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  • image_3.png
    842 Bytes
    xet
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  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training over 3 years ago