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c-eshih
/
human_stable_diffusion_concat_weighted

Diffusers
TensorBoard
Safetensors
StableDiffusionInstructPix2PixPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use c-eshih/human_stable_diffusion_concat_weighted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use c-eshih/human_stable_diffusion_concat_weighted with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("c-eshih/human_stable_diffusion_concat_weighted", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
human_stable_diffusion_concat_weighted / logs /instruct-pix2pix
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  • 1 contributor
History: 1 commit
c-eshih's picture
c-eshih
End of training
2e6517a verified almost 2 years ago
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  • events.out.tfevents.1720821989.ambus-algoq6069.907934.0
    184 Bytes
    xet
    End of training almost 2 years ago
  • events.out.tfevents.1720822072.ambus-algoq6069.908654.0
    78.9 kB
    xet
    End of training almost 2 years ago