[ONNX] Collate the external weights, speed up loading from the hub #610
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anton-l
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Sep 21, 2022
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| sd_pipe = StableDiffusionOnnxPipeline.from_pretrained( | ||
| "CompVis/stable-diffusion-v1-4", revision="onnx", provider="CUDAExecutionProvider", use_auth_token=True | ||
| ) |
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9 minutes -> 10 seconds!
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awesome - great work!
anton-l
commented
Sep 21, 2022
| "numpy": "numpy", | ||
| "onnxruntime": "onnxruntime", | ||
| "onnxruntime-gpu": "onnxruntime-gpu", |
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forgot to add onnxruntime-gpu for our CI, fixing that here
|
The documentation is not available anymore as the PR was closed or merged. |
patrickvonplaten
approved these changes
Sep 21, 2022
|
Awesome! |
PhaneeshB
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Mar 1, 2023
yoonseokjin
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Dec 25, 2023
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The 400+ external weight files for the UNet are now collated into one file, making
StableDiffusionOnnxPipeline.from_pretrainedorders of magnitude faster.Also removing the conversion step from the ONNX test, speeding up our CI.