Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

comfyui-troubleshootercomfyui 疑难解答

Agent Skill

comfyui-troubleshooter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,780

周安装

117

GitHub Stars

50

下载量

973
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comfyui-troubleshooter(comfyui 疑难解答)
来源仓库:https://github.com/mckruz/comfyui-expert
仓库路径:skills/comfyui-troubleshooter
安装命令:
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-troubleshooter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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

简介

comfyui-troubleshooter 用于诊断和解决 ComfyUI 的各类问题,包括服务器错误、工作流错误、质量问题和性能问题。

  • 支持按错误类别分类排查,并收集上下文信息以生成解决方案。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.24%
按下载量换算362

Claude

27.55%
按下载量换算268

Cursor

20.33%
按下载量换算198

Gemini CLI

9.79%
按下载量换算95

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills