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 |
|---|
| < 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 |
