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RadwaH
/
CustomDiffusionAgnes2

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

Instructions to use RadwaH/CustomDiffusionAgnes2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use RadwaH/CustomDiffusionAgnes2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("RadwaH/CustomDiffusionAgnes2", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a <new1> girl"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
CustomDiffusionAgnes2
9.01 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
RadwaH's picture
RadwaH
End of training
308e35d almost 3 years ago
  • checkpoint-1000
    End of training almost 3 years ago
  • checkpoint-250
    End of training almost 3 years ago
  • checkpoint-500
    End of training almost 3 years ago
  • checkpoint-750
    End of training almost 3 years ago
  • .gitattributes
    1.53 kB
    End of training almost 3 years ago
  • <new1>.bin
    202 MB
    xet
    End of training almost 3 years ago
  • README.md
    738 Bytes
    End of training almost 3 years ago
  • image_0.png
    1.06 MB
    xet
    End of training almost 3 years ago
  • image_1.png
    976 kB
    End of training almost 3 years ago
  • pytorch_custom_diffusion_weights.bin
    102 MB
    xet
    End of training almost 3 years ago