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ComfyUI CUDA out of memory

The workflow requires more GPU memory than available for model, resolution, batch, or precision.

Error text / 报错原文

  • CUDA out of memory
  • torch.cuda.OutOfMemoryError
  • ComfyUI out of memory

What it means

The workflow requires more GPU memory than available for model, resolution, batch, or precision.

Most common causes

  • Resolution too high
  • Batch size too large
  • Model too large for VRAM
  • Other GPU processes running

Fastest fix

  • Reproduce the smallest failing case.
  • Check environment, platform, and production settings.
  • Use the related local tool to classify the issue.
  • Fix the highest-risk security or data issue first.

Safe fix

  • Keep secrets out of client code and logs.
  • Prefer least privilege and explicit allowlists.
  • Add a regression test or checklist before retrying.
  • Document the working production configuration.

What not to do

  • Do not disable security controls as a permanent fix.
  • Do not paste secrets into public issue trackers or AI chats.
  • Do not trust preview success as production readiness.

Diagnostic commands

nvidia-smi
python -c "import torch; print(torch.cuda.is_available())"
python --version

Related tools

Related errors

Sources