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geyongtao
/
gvm_flow_matching

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use geyongtao/gvm_flow_matching with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("geyongtao/gvm_flow_matching", 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
gvm_flow_matching
5.71 GB
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  • 1 contributor
History: 6 commits
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geyongtao
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aa85f01 verified about 1 year ago
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago