Comments (2)
It's indeed annoying that the file does not get mentioned in the error message (which is a limitation of the Rust standard library). My guess is that it's the clip weight files based on the log, but it's the first one to be loaded.
Note that this was recently switched to use safetensors
by default, so maybe that's related. Could you check that your data directory contains pytorch_model.safetensors
?
If so could you also try overriding the clip weight file to point it at the appropriate place with --clip-weights path/to/clip-weights
?
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Thanks for the response. I ended up manually logging the filenames, and found out that it expected the stable-diffusion-v2.1 filenames, whereas I had the v1.5 files downloaded. Added --sd-version v1-5
to the command, and it worked.
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Related Issues (20)
- Feature Request: Negative prompts HOT 1
- Add Scheduler trait/enum HOT 2
- m1 mac gpu HOT 6
- Google Colab Notebook to run diffusion experiment on the GPU
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- How to load a parameter file in safetensors format? HOT 1
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- ControlNet support? HOT 5
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- CUDA out of memory on 12GB GPU HOT 2
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- DirectML Support HOT 1
- Cannot link when used together with cxx-qt crate HOT 1
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