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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amd-shark/sdxl-quant-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update quant params structure (#2)
Verified signature- Feat (math model/tests): Updated math model and tests to match use format (1b07a9de121e37d97d97e8c920bbb4731875b756)6b62ce4
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Updated math model to target int8 x int8 kernels.
4024f9d
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[test] Fixed shapes to match new `quant_param.json`
673c9f2 -
[math_model/test] Added "QOp" implementation and basic tests.
eb5a5f6