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AbstractPhil
/
sd15-flow-matching

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use AbstractPhil/sd15-flow-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AbstractPhil/sd15-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("AbstractPhil/sd15-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
  • Local Apps
  • Draw Things
  • DiffusionBee
sd15-flow-matching / runs
261 kB
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  • 1 contributor
History: 9 commits
AbstractPhil's picture
AbstractPhil
metrics appear corrupted
194da01 verified 7 months ago
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    metrics appear corrupted 7 months ago
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    Upload events.out.tfevents.1761797312.9fbbfde58fc3.9602.0 7 months ago