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SidXXD
/
blend_factor_1000

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

Instructions to use SidXXD/blend_factor_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SidXXD/blend_factor_1000 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SidXXD/blend_factor_1000", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a <v1*> cat"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
blend_factor_1000 / logs /custom-diffusion
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  • 1 contributor
History: 6 commits
SidXXD's picture
SidXXD
End of training
8261566 verified almost 2 years ago
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