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Comfyui V8

作者 SMS · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install comfyui-v8
功能描述
ComfyUI V8 秋叶中文版 全流程助手。提供安装检测、一键启动、工作流生成(文生图/图生图/ControlNet/InstantID等)、参数优化、故障排查、批量生成、模型管理等功能。All-in-one assistant for ComfyUI V8 (Aki bundle) with workflow...
使用说明 (SKILL.md)

ComfyUI V8 秋叶中文版助手 / ComfyUI V8 Aki Bundle Assistant

功能概览 / Features

功能 描述
🔍 环境检测 检测整合包安装状态、模型、依赖
🚀 一键启动 启动绘世启动器或ComfyUI核心服务
🎨 工作流生成 文生图、图生图、ControlNet、InstantID、扩图、局部重绘
⚙️ 参数优化 显存优化、常用参数推荐
🐛 故障排查 常见错误诊断与修复方案
📦 模型管理 Checkpoint/LoRA/ControlNet 模型切换
🔄 批量生成 多提示词批量出图
🔗 增强功能 绘世启动器/300+节点/国内加速/FLUX支持
📊 工作流管理 导出/导入/复制/对比

触发词 / Triggers

ComfyUI, comfyui, 秋叶, 绘世启动器, 文生图, 图生图, ControlNet, InstantID, 扩图, 局部重绘, 工作流, comfy workflow

使用方法 / Usage

命令格式 / Command Format

检测ComfyUI环境        # 环境检测
启动ComfyUI            # 一键启动
生成文生图工作流        # 文生图
生成图生图工作流        # 图生图
生成ControlNet工作流    # ControlNet
生成InstantID工作流     # InstantID
生成扩图工作流          # 扩图
生成局部重绘工作流       # 局部重绘
优化ComfyUI参数         # 参数优化
ComfyUI故障排查         # 故障排查
批量生成图片            # 批量生成
管理ComfyUI模型         # 模型管理

核心参数 / Core Parameters

文生图 / Text-to-Image

参数 默认值 说明
prompt 高质量, 8k, 高清, 细节丰富 正向提示词
negative_prompt 模糊, 低分辨率, 畸形, 水印 负向提示词
model sdxl_base.safetensors 模型选择
width 1024 宽度
height 1024 高度
steps 28 采样步数
cfg 7 CFG强度
sampler dpmpp_2m 采样器
scheduler karras 调度器

模型类型 / Model Types

  • SDXL Base: sdxl_base.safetensors (1024x1024 推荐)
  • SD 1.5: sd15_base.safetensors (512x512 推荐)
  • FLUX: flux_dev.safetensors / flux_schnell.safetensors (1024x1024+)
  • InstantID: 需要 antelopev2 embeddings + ip-adapter-instantid-sdxl.safetensors

工作流 JSON 结构(秋叶V8标准)/ Workflow JSON Structure

{
  "name": "秋叶V8-文生图",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "EmptyLatentImage", "inputs": {"width": 1024, "height": 1024, "batch_size": 1}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "txt2img"}}
  ]
}

故障排查 / Troubleshooting

错误现象 解决方案
启动闪退 安装 .NET Framework 4.8+、以管理员运行、检查路径无中文/空格
显存不足 开启 --lowvram 模式、降低分辨率、分块加载模型
模型加载失败 检查模型完整性、确认放置在正确目录 (models/checkpoints)
节点缺失 绘世启动器 → 拓展管理 → 一键安装缺失节点
中文乱码 秋叶V8已内置中文,无需修改,重启即可
卡在 "Loading models" 检查网络/磁盘空间、手动下载模型到 models/checkpoints

显存优化方案 / VRAM Optimization

显存 推荐方案
\x3C 6GB 4bit量化、SD 1.5/7B小模型、关闭高分辨率
6-12GB 8bit量化、1024x1024、启用VAE分块解码
> 12GB FP16原生、1536x1536高分辨率、批量生成
# 启动参数(编辑 启动ComfyUI.bat)
# 低显存模式
.\python_embeded\python.exe .\main.py --lowvram --cpu

# 中等显存(RTX 3060 12G)
.\python_embeded\python.exe .\main.py --normalvram

# 秋叶V8启动器勾选「低显存模式」即可

模型目录结构 / Model Directory Structure

ComfyUI-aki-V8/
├── models/
│   ├── checkpoints/          # SD/SDXL/FLUX 主模型
│   ├── lora/                  # LoRA 模型
│   ├── controlnet/            # ControlNet 模型
│   ├── embeddings/           # Textual Inversion / InstantID
│   ├── vae/                   # VAE 模型
│   └── upscale_models/        # 放大模型 (ESRGAN等)
├── user/
│   └── default/
│       └── workflows/         # 默认工作流存储
└── 启动ComfyUI.bat            # 启动脚本

工作流模板(秋叶V8标准节点)/ Workflow Templates

1. 文生图 (Text-to-Image)

{
  "name": "秋叶V8-文生图",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "EmptyLatentImage", "inputs": {"width": 1024, "height": 1024, "batch_size": 1}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "txt2img"}}
  ]
}

2. 图生图 (Image-to-Image)

{
  "name": "秋叶V8-图生图",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "LoadImage", "inputs": {"image": "input.png"}},
    {"type": "VAEEncode", "inputs": {}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "img2img"}}
  ]
}

3. ControlNet 线稿/边缘/姿态控制

{
  "name": "秋叶V8-ControlNet",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "LoadImage", "inputs": {"image": "control.png"}},
    {"type": "ControlNetLoader", "inputs": {"control_net_name": "canny.safetensors"}},
    {"type": "ControlNetApply", "inputs": {"strength": 0.8}},
    {"type": "EmptyLatentImage", "inputs": {"width": 1024, "height": 1024, "batch_size": 1}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "controlnet"}}
  ]
}

4. InstantID 人脸一致性

{
  "name": "秋叶V8-InstantID人脸",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "ip-adapter-instantid-sdxl.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "LoadImage", "inputs": {"image": "face.png"}},
    {"type": "InstantIDModelLoader", "inputs": {}},
    {"type": "InstantIDApply", "inputs": {"strength": 0.7}},
    {"type": "EmptyLatentImage", "inputs": {"width": 1024, "height": 1024, "batch_size": 1}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "instantid"}}
  ],
  "models_required": ["antelopev2", "ip-adapter-instantid-sdxl"]
}

5. 扩图 (Outpainting)

{
  "name": "秋叶V8-智能扩图",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "LoadImage", "inputs": {"image": "base.png"}},
    {"type": "ImageResize", "inputs": {"width": 2048, "height": 2048, "method": "lanczos"}},
    {"type": "VAEEncode", "inputs": {}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "outpaint"}}
  ]
}

6. 局部重绘 (Inpainting)

{
  "name": "秋叶V8-局部重绘",
  "nodes": [
    {"type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "sdxl_base.safetensors"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "正向提示词"}},
    {"type": "CLIPTextEncode", "inputs": {"text": "负向提示词"}},
    {"type": "LoadImage", "inputs": {"image": "base.png"}},
    {"type": "LoadImage", "inputs": {"image": "mask.png"}},
    {"type": "VAEEncodeForInpaint", "inputs": {}},
    {"type": "KSampler", "inputs": {"steps": 28, "cfg": 7, "sampler_name": "dpmpp_2m", "scheduler": "karras"}},
    {"type": "VAEDecode", "inputs": {}},
    {"type": "SaveImage", "inputs": {"filename_prefix": "inpaint"}}
  ]
}

常见报错修复 / Common Error Fixes

错误 修复方法
缺少.NET 安装.NET 6.0桌面运行时,绘世启动器会自动引导下载
显存不足 启动器勾选低显存、4bit量化、减小尺寸
节点缺失 绘世启动器 → 拓展管理 → 一键安装缺失节点
模型加载失败 模型路径无中文/空格,放到models/checkpoints
中文乱码 秋叶V8已内置中文,无需修改,重启即可

注意事项 / Notes

  • 秋叶V8已内置中文界面,无需额外汉化
  • 模型建议放置在 models/checkpoints/ 目录
  • FLUX 模型需要更多显存 (建议 16GB+)
  • 定期使用绘世启动器更新内核和插件
  • 工作流保存路径:user/default/workflows/

秋叶V8专属增强功能 / Aki V8 Exclusive Features

功能 说明
绘世启动器 内核/插件/模型/更新 一站式管理
300+预装节点 ControlNet/InstantID/LayerDiffusion/IC-Light
中文界面 节点/菜单/提示/日志 全汉化
国内加速 GitHub镜像 + 模型下载加速
全模型支持 FLUX / SD3 / SDXL / SD1.5
一键备份 工作流/模型/配置 备份还原

机器人触发指令 / Bot Commands

指令 功能
ComfyUI检测 环境检测
启动ComfyUI 一键启动
生成文生图工作流 生成txt2img
生成ControlNet工作流 生成ControlNet
ComfyUI显存优化 VRAM优化
ComfyUI修复 报错修复
ComfyUI增强功能 查看V8增强功能
安全使用建议
This skill appears to do what its README and SKILL.md describe: it inspects a local ComfyUI-aki-V8 folder, writes workflow JSON files there, and launches the provided launcher (.exe) or startup .bat. It does not request credentials or perform network downloads itself. Before installing or running: 1) only use this with a ComfyUI package you trust — launching the bundled .exe/.bat will execute native code on your machine; 2) inspect the ComfyUI-aki-V8 files you obtained from the bundle origin (verify checksums or source) to avoid running tampered binaries; 3) if you prefer extra isolation, run the skill and the ComfyUI bundle in a sandbox/VM; 4) if you want to prevent accidental execution, restrict autonomous skill invocation in your agent settings so the skill runs only when you explicitly call it.
功能分析
Type: OpenClaw Skill Name: comfyui-v8 Version: 1.0.2 The skill bundle is a legitimate assistant for the ComfyUI Aki bundle (a popular Chinese distribution). It provides tools for environment detection, application startup, and workflow generation. The Python script `scripts/comfyui_skill.py` and the instructions in `SKILL.md` are well-documented and align perfectly with the stated purpose of managing a local ComfyUI installation. The use of subprocess to launch the application is expected for this type of tool, and no evidence of data exfiltration, prompt injection, or malicious intent was found.
能力评估
Purpose & Capability
Name/description (ComfyUI V8 assistant) align with the included script and SKILL.md: environment checks, workflow generation, model listing, starting the launcher or startup script, and writing workflow JSON files to the ComfyUI directory.
Instruction Scope
Instructions and the Python script operate on local ComfyUI-aki-V8 files (listing model dirs, writing workflows, launching 绘世启动器.exe or 启动ComfyUI.bat). This stays within the claimed scope, but the skill will execute local binaries and start processes — users should understand that running those executables will execute native code on their machine.
Install Mechanism
No install spec is provided (instruction-only with a helper script included). Nothing is downloaded or installed automatically by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or external config paths. The script accesses only paths under the ComfyUI bundle and standard filesystem operations.
Persistence & Privilege
always:false (no forced persistence). The skill can be invoked by the agent (default behavior). Because it can autonomously run local executables, allowlisting only trusted skills or restricting autonomous invocation reduces risk.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install comfyui-v8
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /comfyui-v8 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
Added extra_features and bot entry point
v1.0.1
Updated to standard ComfyUI V8 workflow format with proper node inputs structure, added 6 workflow templates
v1.0.0
Initial release: ComfyUI V8 workflow generation, troubleshooting, VRAM optimization
元数据
Slug comfyui-v8
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Comfyui V8 是什么?

ComfyUI V8 秋叶中文版 全流程助手。提供安装检测、一键启动、工作流生成(文生图/图生图/ControlNet/InstantID等)、参数优化、故障排查、批量生成、模型管理等功能。All-in-one assistant for ComfyUI V8 (Aki bundle) with workflow... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 78 次。

如何安装 Comfyui V8?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install comfyui-v8」即可一键安装,无需额外配置。

Comfyui V8 是免费的吗?

是的,Comfyui V8 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Comfyui V8 支持哪些平台?

Comfyui V8 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Comfyui V8?

由 SMS(@smseow001)开发并维护,当前版本 v1.0.2。

💬 留言讨论