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WaveCut
/
Cosmos3-Super-Text2Image-Quanto-FP8-Transformer

Text-to-Image
Diffusers
Safetensors
cosmos3
fp8
quanto
optimum-quanto
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Cosmos3-Super-Text2Image-Quanto-FP8-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Cosmos3-Super-Text2Image-Quanto-FP8-Transformer with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/Cosmos3-Super-Text2Image-Quanto-FP8-Transformer", 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 Settings
  • Draw Things
  • DiffusionBee
Cosmos3-Super-Text2Image-Quanto-FP8-Transformer
64.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
WaveCut's picture
WaveCut
Clarify Quanto FP8 quantization
3a5ee2a verified 1 day ago
  • examples
    Add FP8 stress example gallery 1 day ago
  • transformer
    Add files using upload-large-folder tool 1 day ago
  • .gitattributes
    2.5 kB
    Add FP8 stress example gallery 1 day ago
  • README.md
    6.45 kB
    Clarify Quanto FP8 quantization 1 day ago