lllyasviel / lllyasviel/sd-forge-layerdiffuse
[m1 pro] How to fix the problem?
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- Dominant language
- Python
- Stars
- 4.1k
- Forks
- 352
- PR merge metrics
- No merged PRs in 30d
Description
Moving model(s) has taken 0.91 seconds
100%|███████████████████████████████████████████| 20/20 [02:51<00:00, 8.59s/it]
To load target model AutoencoderKL██████████████| 20/20 [02:37<00:00, 8.22s/it]
Begin to load 1 model
Moving model(s) has taken 2.63 seconds
To load target model UNet1024
Begin to load 1 model
Moving model(s) has taken 0.24 seconds
100%|█████████████████████████████████████████████| 8/8 [00:14<00:00, 1.82s/it]
/AppleInternal/Library/BuildRoots/ce725a5f-c761-11ee-a4ec-b6ef2fd8d87b/Library/Caches/com.apple.xbs/Sources/MetalPerformanceShaders/MPSNDArray/Kernels/MPSNDArraySort.mm:287: failed assertion `(null)" Axis = 4. This class only supports axis = 0, 1, 2, 3
'
./webui.sh: line 292: 2661 Abort trap: 6 "${python_cmd}" -u "${LAUNCH_SCRIPT}" "$@"
(base) mbp@MBP forge % /opt/homebrew/Cellar/python@3.10/3.10.11/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with webui.sh around line 292 and the Python launch path, then investigate the MPSNDArraySort assertion reporting axis 4 while loading AutoencoderKL and UNet1024. Reproduce the crash on the reported Apple M1 setup and identify the model operation that triggers it; done means generation completes without the Metal assertion or abort.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- macos, python
- Domain
- machine-learning, operating-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100