Clarify RuntimeError handling in README
Updated instructions for handling RuntimeError related to tensors and GPU usage.
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@@ -176,7 +176,7 @@ If you encounter a **RuntimeError** regarding "Inference Tensors":
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* Ensure you are using a **Batch Size** large enough to split.
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* The node uses a "Deep Detach" strategy (`.detach().clone()`) to satisfy the version counter requirements of the KSampler.
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* if you see the message "RuntimeError: Expected all tensors to be on the same device, but got mat1 is on cuda:0, different from other tensors on cuda:1 (when checking argument in method wrapper_CUDA_addmm)
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" after changing the percentage of the GPU'S for the second run. restart comfyui
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" after changing the percentage of the GPU'S for the second run. restart comfyui or add **--cache-none** in the ComfyUI startup arguments
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### Slower than single GPU
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#### Common causes:
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