troubleshooting
FeaturedCommon ComfyUI errors and fixes. OOM, missing nodes, dtype mismatches, black images, and debugging strategies
Install
Quality Score: 91/100
Skill Content
Details
- Author
- artokun
- Repository
- artokun/comfyui-mcp
- Created
- 6 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
comfyui-workflows
ComfyUI workflow design, debugging, and automation for image generation. Covers workflow JSON structure, node wiring (KSampler, LoRA, ControlNet, IPAdapter), API queuing and polling, custom node management, batch generation, and workflow templating. Use when asked about "ComfyUI workflow", "ComfyUI nodes", "LoRA setup", "ControlNet workflow", "image generation pipeline", "ComfyUI API", or "batch generate images".
comfyui-launch-flags
Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed. The full decision matrix for OOM (--novram / --cache-none / --disable-smart-memory), shared-VRAM creep on Windows (--reserve-vram N), model-switching with big text encoders (--cache-none), high-VRAM throughput (--gpu-only / --highvram), and attention-backend selection (--use-sage-attention for speed, --use-pytorch-cross-attention as the highest-quality / Z-Image-safe fallback). Also the acceleration-stack + Blackwell/RTX 5000 (sm_120) notes. Use when a graph OOMs (especially long video like LTX 2 / WAN), when the GPU spills into shared VRAM and slows to a crawl, when switching between models eats all RAM, when Z-Image produces black/garbled output under Sage, or when deciding which attention backend to launch with. Flag names verified against upstream comfy/cli_args.py; see Sources.
debug-render
Debug a WRONG or imperfect render (not a hard error) by inspecting inputs and intermediate steps with run-to-node. Render one branch up to an output, preview-tap latents/masks/preprocessor maps, localize the first bad stage, then fix. Use when a final image/video completes but looks wrong, such as artifacts, wrong subject/pose/composition/color, blur, a ControlNet/IPAdapter/mask/LoRA not taking, or a two-stage refiner or upscale degrading the result. For errors/OOM/missing nodes use the troubleshooting skill.