Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
mckruz avatar

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)
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-troubleshooter

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs645
repo stars85
Last updatedMarch 18, 2026
Repositorymckruz/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

SKILL.mdMarkdownGitHub ↗

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

CategorySymptomsFirst Check
ServerConnection refused, timeouts, crashesIs ComfyUI running? Check /system_stats
WorkflowNode errors, missing inputs, type mismatchesValidate workflow against inventory
QualityArtifacts, wrong identity, blurry outputCheck settings (CFG, weights, resolution)
PerformanceOOM, slow generation, VRAM errorsCheck 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 reference

Missing 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 installation

Missing 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 things

Escalation

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 solutions
  • state/inventory.json - Current installation state
  • references/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.

Generative Mediaautomationagents

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.