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yitongl
/
sparse_quant_exp

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use yitongl/sparse_quant_exp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yitongl/sparse_quant_exp", 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
sparse_quant_exp / backend_snapshot
430 kB
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  • 1 contributor
History: 4 commits

This model has 1 file scanned as unsafe.

yitongl's picture
yitongl
Remove checkpoint-750 inference script
383bb79 verified 10 days ago
  • examples
    Add inference code and attention settings for sfp4 checkpoint-750 10 days ago
  • fastvideo-kernel
    Upload backend snapshot for sfp4 checkpoint-750 10 days ago
  • fastvideo
    Add inference code and attention settings for sfp4 checkpoint-750 10 days ago
  • scripts
    Remove checkpoint-750 inference script 10 days ago
  • README.md
    3.12 kB
    Replace sfp4 checkpoint-750 with checkpoint-700 10 days ago
  • manifest.sha256
    3.7 kB
    Replace sfp4 checkpoint-750 with checkpoint-700 10 days ago
  • training_attention_settings.json
    2.4 kB
    Replace sfp4 checkpoint-750 with checkpoint-700 10 days ago