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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: 33 commits
nickfraser's picture
nickfraser
Feat (script): Added pre-generated `captions.tsv`
b2f369f about 2 years ago
  • quant_sdxl
    Feat (script): Added pre-generated `captions.tsv` about 2 years ago
  • .gitattributes
    1.57 kB
    Upload quant_param.json with huggingface_hub about 2 years ago
  • config.json
    1.68 kB
    Add config.json from stable-diffusion-xl-base-1.0/unet about 2 years ago
  • math_model.py
    8.55 kB
    Remove potential overflow / saturation error. about 2 years ago
  • out.safetensors
    6.76 GB
    xet
    Output reference tensors about 2 years ago
  • params.safetensors
    5.14 GB
    xet
    Upload params.safetensors with huggingface_hub about 2 years ago
  • quant_param.json
    85.1 MB
    xet
    add missing smoothquant factors about 2 years ago
  • test_quant_conv2d.py
    1.11 kB
    Updated math model to target int8 x int8 kernels. about 2 years ago
  • test_quant_linear.py
    969 Bytes
    Updated math model to target int8 x int8 kernels. about 2 years ago