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
- Xet hash:
- 029636740453f404b191949ab7cd1b12c67ba0572f085a55f25bfe876dd969ee
- Size of remote file:
- 62.1 MB
- SHA256:
- 4bd0c01579398c044b7936582b2323cf69ad96e0bdabc70bd5bef44ea61c3549
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