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 ·
2de7ba8
1
Parent(s): 0339659
Added vae weights with FP16 fix.
Browse files- vae.safetensors +3 -0
vae.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5f4a2c48ac98e9ad4054823d5a9a8b9370f4d23b8ed5ce21d5463c36ffc28fe
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size 167335310
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