Face Swap Workflow Not Working (Yolov10m not working)
- Dominant language
- Python
- Stars
- 133k
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- Avg merge
- 1d 7h
- Merged PRs (30d)
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Description
### Custom Node Testing
- [x] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)
### Expected Behavior
Expected to work since the workflow come from you guys
### Actual Behavior
Has an issue with yolov10m - face detection
### Steps to Reproduce
Just use the work flow provide by you on the cloud
### Debug Logs
```powershell
yolov10m.onnx not been detected : ServiceError: Failed to send prompt request: request returned error status 400: {"error": {"type": "prompt_outputs_failed_validation", "message": "Prompt outputs failed validation", "details": "", "extra_info": {}}, "node_errors": {"1034": {"errors": [{"type": "value_not_in_list", "message": "Value not in list", "details": "yolo_model: 'yolov10m.onnx' is not a valid value, "class_type": "OnnxDetectionModelLoader"}}}
```
### Other
Hi . I,m using the Workflow for face swap https://comfy.org/workflows/93f286fbc2c8-93f286fbc2c8/ and Im getting an issu with the yolov10m.onnx not been detected : ServiceError: Failed to send prompt request: request returned error status 400: {"error": {"type": "prompt_outputs_failed_validation", "message": "Prompt outputs failed validation", "details": "", "extra_info": {}}, "node_errors": {"1034": {"errors": [{"type": "value_not_in_list", "message": "Value not in list", "details": "yolo_model: 'yolov10m.onnx' is not a valid value, "class_type": "OnnxDetectionModelLoader"}}}
Just finally sign up to do this one job and I very frustrated with this thing...cant get any help on Discord either.
Contributor guide
Research direction
Start with the linked face-swap workflow and the OnnxDetectionModelLoader node referenced in the validation error. Reproduce the prompt failure and determine why yolov10m.onnx is not in the node's valid model list; done means the workflow accepts the intended model and the face-detection step runs successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, computer-vision
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 42/100