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amd-shark
/
sdxl-quant-int8

Transformers
Model card Files Files and versions
xet
Community
2

Instructions to use amd-shark/sdxl-quant-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amd-shark/sdxl-quant-int8 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("amd-shark/sdxl-quant-int8", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sdxl-quant-int8
12 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 23 commits
nickfraser's picture
nickfraser
Feat (math model/tests): Updated math model and tests to match use format
1b07a9d almost 2 years ago
  • .gitattributes
    1.57 kB
    Upload quant_param.json with huggingface_hub almost 2 years ago
  • config.json
    1.68 kB
    Add config.json from stable-diffusion-xl-base-1.0/unet almost 2 years ago
  • math_model.py
    9.05 kB
    Feat (math model/tests): Updated math model and tests to match use format almost 2 years ago
  • minimal_script.py
    10.2 kB
    Quantization script almost 2 years ago
  • out.safetensors
    6.76 GB
    xet
    Output reference tensors almost 2 years ago
  • params.safetensors
    5.14 GB
    xet
    Upload params.safetensors with huggingface_hub almost 2 years ago
  • quant_param.json
    85.1 MB
    xet
    add missing smoothquant factors almost 2 years ago
  • requirements.txt
    223 Bytes
    Quantization script almost 2 years ago
  • test_quant_conv2d.py
    1.18 kB
    Feat (math model/tests): Updated math model and tests to match use format almost 2 years ago
  • test_quant_linear.py
    1.04 kB
    Feat (math model/tests): Updated math model and tests to match use format almost 2 years ago