Comfyui V8

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...

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karma

SkillRank score ↗

4.2/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-07-05

comfyui-v8 documents workflow templates and parameter tables for a chinese localized comfyui bundle, but lacks procedural clarity on how to execute each feature and what outputs to expect.

structure

3.0

trigger phrases

7.0

procedure

3.0

edge cases

5.0

documentation

4.0

strengths

SKILL.md

---
name: comfyui-v8
description: 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 generation, one-click startup, troubleshooting, and advanced features.
---

# 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

```json
{
  "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 |
|------|----------|
| < 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 |

```bash
# 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)

```json
{
  "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)

```json
{
  "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

```json
{
  "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

```json
{
  "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)

```json
{
  "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)

```json
{
  "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 |

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