
Comfyui Troubleshooter
- 645 installs
- 85 repo stars
- Updated March 18, 2026
- mckruz/comfyui-expert
comfyui-troubleshooter is an agent skill that diagnoses ComfyUI server, workflow, quality, and performance failures for developers who need Stable Diffusion pipelines running reliably again.
About
comfyui-troubleshooter is a user-invocable agent skill in mckruz/comfyui-expert for diagnosing and fixing ComfyUI image-generation failures. It classifies issues into four categories—server errors such as connection refused and timeouts, workflow errors from missing custom nodes or broken graphs, quality problems in outputs, and performance issues including CUDA and VRAM exhaustion—then suggests fixes from error patterns, dependency gaps, and community-known workarounds. The skill supports darwin, linux, and win32 environments where ComfyUI workflows drive Stable Diffusion pipelines. Developers reach for comfyui-troubleshooter when ComfyUI crashes on launch, custom nodes fail to load, CUDA out-of-memory errors appear, or generated images look wrong despite a previously working graph.
- ComfyUI node graph and custom extension debugging
- CUDA, VRAM, and driver error diagnosis
- Stable Diffusion pipeline failure recovery
- Workflow validation without full graph rebuilds
Comfyui Troubleshooter by the numbers
- 645 all-time installs (skills.sh)
- +44 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #358 of 1,335 Generative Media skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 645 |
|---|---|
| repo stars | ★ 85 |
| Last updated | March 18, 2026 |
| Repository | mckruz/comfyui-expert ↗ |
How do you fix ComfyUI workflow crashes and CUDA errors?
Diagnose ComfyUI workflow crashes, missing custom nodes, CUDA/VRAM failures, and broken Stable Diffusion graphs so image generation pipelines run reliably again.
Who is it for?
ML engineers and generative-media developers running ComfyUI Stable Diffusion workflows on local GPU workstations or servers.
Skip if: Teams using only cloud APIs like DALL-E without a local ComfyUI install, or developers training models outside ComfyUI graphs.
When should I use this skill?
ComfyUI workflow fails, server connection is refused, custom nodes are missing, CUDA/VRAM errors appear, or output quality is unexpected.
What you get
Classified error report with root-cause analysis, dependency fixes, and corrected ComfyUI workflow configuration.
- root-cause diagnosis
- fix recommendations
- corrected workflow guidance
By the numbers
- Diagnoses ComfyUI issues across 4 categories: server, workflow, quality, performance
- Supports 3 operating systems: darwin, linux, and win32
Files
ComfyUI Troubleshooter
Diagnoses and resolves ComfyUI issues across four categories: server errors, workflow errors, quality issues, and performance problems.
Diagnosis Process
Step 1: Classify the Error
| Category | Symptoms | First Check |
|---|---|---|
| Server | Connection refused, timeouts, crashes | Is ComfyUI running? Check /system_stats |
| Workflow | Node errors, missing inputs, type mismatches | Validate workflow against inventory |
| Quality | Artifacts, wrong identity, blurry output | Check settings (CFG, weights, resolution) |
| Performance | OOM, slow generation, VRAM errors | Check VRAM usage, model sizes |
Step 2: Gather Context
Collect before diagnosing: 1. Error message (exact text) 2. Workflow being executed (or description) 3. Models involved (checkpoint, LoRA, ControlNet, etc.) 4. Settings (CFG, steps, resolution, sampler) 5. Hardware (from foundation/hardware-profile.md) 6. Inventory (from state/inventory.json)
Step 3: Match Error Pattern
See references/troubleshooting.md for the full error database.
Quick Fix Reference
Top 10 Most Common Errors
1. "CUDA out of memory" → Use FP8: --fp8_e4m3fn-unet → Enable tiled VAE → Reduce resolution → Restart ComfyUI (clears fragmentation)
2. "Node type not found: {name}" → Install the custom node package via ComfyUI-Manager → Check comfyui-inventory node-to-package mapping
3. "Expected scalar type BFloat16 but found Float" → Precision mismatch. Add --force-fp16 or use matching precision nodes
4. Burned/overexposed faces → Lower CFG to 4-5 (InstantID) → Reduce identity method weight → Add noise to negative embeds (35%)
5. "No model found at path" → Check filename spelling (exact match required) → Verify file is in correct subdirectory → Run inventory scan to confirm
6. Watermark artifacts at 1024x1024 → Use 1016x1016 or 1020x1020 instead
7. Identity doesn't match reference → Use higher quality reference image (clear, front-facing) → Increase IP-Adapter weight to 0.8+ → Verify InsightFace antelopev2 is installed
8. Video flickering → Lower FaceDetailer denoise to 0.3 → Add deflicker post-processing → Increase AnimateDiff context overlap to 4+
9. Queue stuck/not processing → POST /interrupt to cancel → POST /free to unload models → Restart ComfyUI
10. Slow generation → Check if --lowvram is enabled (remove it on RTX 5090) → Use --highvram instead → Update cuDNN to 8800+ → Enable SageAttention for Wan models
Decision Tree: Quality Issues
OUTPUT LOOKS WRONG
|
|-- Faces look wrong
| |-- Too smooth/plastic → Add skin texture LoRA (0.2-0.4)
| |-- Wrong identity → Increase identity weight, check reference quality
| |-- Burned/hot → Lower CFG to 4-5, reduce InstantID weight
| |-- Deformed → Add "bad anatomy, deformed" to negative
| |-- Different every time → Fix seed, add LoRA for consistency
|
|-- Colors wrong
| |-- Oversaturated → Lower CFG, add "oversaturated" to negative
| |-- Washed out → Check VAE is loaded, try different scheduler
| |-- Color shift in video → Add color correction post-processing
|
|-- Resolution/sharpness
| |-- Blurry → Increase steps (25-30), check resolution matches model
| |-- Pixelated → Use proper upscaler (4x-UltraSharp), not resize
| |-- Artifacts → Lower denoise, check for model corruption
|
|-- Composition
| |-- Ignoring prompt → Increase CFG slightly, simplify prompt
| |-- Extra limbs/objects → Add to negative prompt, use ControlNet
| |-- Wrong pose → Add ControlNet OpenPose with referenceMissing Dependency Resolution
When a workflow references something not in inventory:
Missing Custom Node
1. Identify package from class_type (see inventory skill's mapping)
2. Suggest: "Open ComfyUI-Manager → Search → Install {package_name}"
3. Alternative: "cd {ComfyUI}/custom_nodes && git clone {repo_url}"
4. Remind: Restart ComfyUI after installationMissing Model
1. Look up in references/models.md for download link
2. Provide: exact filename, download URL, target directory
3. For large models (>10GB): suggest HF CLI for reliability
"huggingface-cli download {repo} {file} --local-dir {path}"Version Incompatibility
1. Check ComfyUI version vs node package requirements
2. Suggest: "cd {ComfyUI} && git pull" for ComfyUI update
3. Or: pin specific node version if newest breaks thingsEscalation
If troubleshooting doesn't resolve the issue:
1. Check ComfyUI GitHub Issues for known bugs 2. Check specific node package's Issues 3. Search r/comfyui for community solutions 4. Suggest posting in ComfyUI Discord with error details
Reference
references/troubleshooting.md- Full error database with solutionsstate/inventory.json- Current installation statereferences/models.md- Model download links and paths
Related skills
How it compares
Use comfyui-troubleshooter for ComfyUI-specific graph and GPU errors; generic Python debug skills lack Stable Diffusion node and VRAM workflow context.
FAQ
What failure types does comfyui-troubleshooter cover?
comfyui-troubleshooter handles four categories: server errors like connection refused and timeouts, workflow errors from broken graphs or missing nodes, quality issues in outputs, and performance problems including CUDA and VRAM failures.
Which platforms does comfyui-troubleshooter support?
comfyui-troubleshooter metadata lists darwin, linux, and win32 operating systems, covering local ComfyUI installs used for Stable Diffusion workflow development and rendering.
When should developers invoke comfyui-troubleshooter?
comfyui-troubleshooter activates when ComfyUI workflows fail or produce unexpected results, including missing custom nodes, CUDA errors, server startup failures, or degraded image quality in Stable Diffusion graphs.