ComfyUI-Copilot has built the most complete ComfyUI error knowledge base, covering 137 types of common problems such as CUDA memory errors, node connection errors, model loading failures, etc. When the system detects error logs (e.g. "RuntimeError: mat1 and mat2 shapes cannot be multiplied"), it will perform three-level diagnosis. When the system detects an error log (e.g., "RuntimeError: mat1 and mat2 shapes cannot be multiplied"), it will perform a three-level diagnosis: firstly, it will perform syntax-level analysis to locate the node in error, secondly, it will perform topology check to verify the workflow logic, and finally, it will perform resource evaluation to provide hardware adaptation. Finally, it performs resource evaluation and gives hardware adaptation suggestions. The test data shows that the diagnosis accuracy of the memory error reaches 98%, and the average repair time is shortened from 47 minutes in the traditional method to 3 minutes.
The system innovatively introduces a preventive detection mechanism to pre-empt possible conflicts (e.g., VAE decoder is incompatible with LoRA model) when the user connects to the node, and its proactive interception function reduces the runtime errors of 82%. All diagnostic results are accompanied by visual guidelines, including node highlighting of errors, demonstration of suggested new connection paths, etc., which greatly reduces the technical threshold.
This answer comes from the articleComfyUI-Copilot: an AI assistant for text description generation ComfyUI workflowsThe
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