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CHANGELOG.md
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# Changelog
All notable changes to this project will be documented in this file.
## [1.0.0] - 2025-01-15
### Added
- Initial release of AVIF Animation node for ComfyUI
- Full transparency (alpha channel) support
- Adjustable FPS, quality, alpha quality, and encoding speed
- Automatic transparency channel detection and addition
- Multi-threaded image processing
- Memory optimization with automatic cleanup
- Comprehensive error handling and user feedback
- Support for infinite loop playback
### Features
- Uses libavif's avifenc for optimal AVIF encoding
- YUV444 color format support
- Non-premultiplied alpha channel
- Automatic avifenc installation check
- Detailed console output for debugging
- File size reporting after encoding
- Transparency verification after encoding
### Documentation
- Comprehensive README with usage examples
- Installation guide for Windows, macOS, and Linux
- Format comparison table
- Troubleshooting section
- Example workflow JSON
- MIT License
### Compatibility
- ComfyUI Stable and Daily versions
- Windows 10/11
- macOS 12+ (Monterey)
- Linux (Ubuntu 20.04+, Fedora 35+)
- iOS 16+ and macOS Ventura+ for AVIF playback
## [Unreleased]
### Planned
- GPU acceleration support (if available in future avifenc versions)
- Batch processing for multiple animations
- Custom output directory option
- Preview functionality within ComfyUI
- Additional AVIF encoding parameters
INSTALL.md
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# Installation Guide
## Quick Start
### 1. Install avifenc (Automatic)
**Run the installer:**
```bash
cd ComfyUI-AVIF-Animation
python install_avifenc.py
```
This will automatically:
- Detect your platform (Windows/macOS/Linux)
- Download avifenc from GitHub releases
- Install it to Python's Scripts directory
- Set executable permissions
**No need to:**
- ❌ Manually download avifenc
- ❌ Modify PATH or system variables
- ❌ Use package managers (winget/brew/apt)
### 2. Install ComfyUI Node
**Option A: Clone from Git**
```bash
cd ComfyUI/custom_nodes
git clone https://github.com/yourusername/ComfyUI-AVIF-Animation.git
```
**Option B: Download ZIP**
1. Download ZIP file from GitHub
2. Extract to `ComfyUI/custom_nodes/ComfyUI-AVIF-Animation/`
3. Restart ComfyUI
### 3. Verify Installation
1. Start ComfyUI
2. Check if "AVIF Animation (avifenc)" node appears in node menu
3. Test with a simple workflow
### 4. Verify avifenc Installation
```bash
python -c "import sys; import os; print(os.path.join(os.path.join(sys.prefix, 'Scripts' if os.name == 'nt' else 'bin'), 'avifenc'))"
```
## Troubleshooting
### avifenc not found
**Symptom:** Node shows "avifenc未安装" error
**Solution:**
1. Run the installer:
```bash
cd ComfyUI-AVIF-Animation
python install_avifenc.py
```
2. Verify avifenc is installed:
```bash
python -c "import sys; import os; print(os.path.join(os.path.join(sys.prefix, 'Scripts' if os.name == 'nt' else 'bin'), 'avifenc'))"
```
3. Restart ComfyUI after installing
### Installer fails
**Symptom:** `install_avifenc.py` fails to download
**Solution:**
1. Check internet connection
2. Verify Python installation
3. Try manual download from https://github.com/AOMediaCodec/libavif/releases
4. Check GitHub releases for latest version
### Node not appearing in menu
**Symptom:** "AVIF Animation (avifenc)" node not found
**Solution:**
1. Check file structure:
```
ComfyUI/custom_nodes/ComfyUI-AVIF-Animation/
├── __init__.py
├── nodes.py
├── install_avifenc.py
├── README.md
└── ...
```
2. Restart ComfyUI
3. Check ComfyUI console for errors
### Permission denied on Windows
**Symptom:** "Access denied" when saving files
**Solution:**
1. Run ComfyUI as Administrator
2. Or check output directory permissions
### Large file size
**Symptom:** AVIF files are too large
**Solution:**
- Lower `quality` parameter (try 40-60)
- Lower `alpha_quality` parameter (try 40-60)
- Reduce `fps` parameter (try 15-24)
### Slow encoding
**Symptom:** Encoding takes too long
**Solution:**
- Increase `speed` parameter (try 8-10)
- Reduce image resolution
- Reduce number of frames
## System Requirements
### Minimum
- Python 3.8+
- ComfyUI
- avifenc 1.0+ (installed by `install_avifenc.py`)
### Recommended
- Python 3.10+
- ComfyUI latest
- avifenc 1.3+
- NVIDIA GPU (for ComfyUI)
## Compatibility
### Tested Platforms
- ✅ Windows 10/11
- ✅ macOS 12+ (Monterey)
- ✅ Linux (Ubuntu 20.04+, Fedora 35+)
### ComfyUI Versions
- ✅ ComfyUI Stable
- ✅ ComfyUI Daily
- ✅ ComfyUI Portable
## Support
For additional help:
- GitHub Issues: https://github.com/yourusername/ComfyUI-AVIF-Animation/issues
- ComfyUI Discord: https://discord.gg/comfyui
LICENSE
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MIT License
Copyright (c) 2025 ComfyUI-AVIF-Animation Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
PROJECT_STRUCTURE.md
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# Project Structure
```
ComfyUI-AVIF-Animation/
├── __init__.py # Node registration and initialization
├── nodes.py # Main node implementation
├── README.md # Full documentation (English)
├── README_CN.md # Quick start (Chinese)
├── INSTALL.md # Installation guide
├── CHANGELOG.md # Version history
├── LICENSE # MIT License
├── requirements.txt # Python dependencies (none required)
├── .gitignore # Git ignore rules
└── example_workflow.json # Example ComfyUI workflow
```
## File Descriptions
### Core Files
**__init__.py**
- Registers the AVIFAnimationNode with ComfyUI
- Maps node class to display name
- Required for ComfyUI to recognize the custom node
**nodes.py**
- Main implementation of AVIFAnimationNode class
- Handles image processing and avifenc execution
- Includes helper functions for image saving and memory management
- Comprehensive error handling and user feedback
### Documentation Files
**README.md**
- Complete documentation in English
- Features, requirements, usage examples
- Format comparison table
- Troubleshooting guide
**README_CN.md**
- Quick start guide in Chinese
- Basic installation and usage
- Links to full documentation
**INSTALL.md**
- Detailed installation instructions
- Platform-specific commands
- Troubleshooting common issues
- System requirements
**CHANGELOG.md**
- Version history and release notes
- Feature additions and changes
- Planned features for future releases
### Configuration Files
**requirements.txt**
- Python dependencies (none required)
- Notes about system dependencies (avifenc)
**.gitignore**
- Git ignore patterns
- Excludes Python cache, IDE files, OS files
**LICENSE**
- MIT License text
- Allows free use, modification, and distribution
**example_workflow.json**
- Sample ComfyUI workflow
- Demonstrates node usage
- Can be imported directly into ComfyUI
## Installation
Copy the entire `ComfyUI-AVIF-Animation/` folder to:
```
ComfyUI/custom_nodes/
```
## Development
To modify or extend this node:
1. Edit `nodes.py` for node logic
2. Edit `__init__.py` for node registration
3. Test changes in ComfyUI
4. Update documentation as needed
5. Update CHANGELOG.md for version changes
## Dependencies
### System (Required)
- avifenc (libavif tools)
- Windows: winget install jark006.jarkViewer
- macOS: brew install libavif
- Linux: sudo apt-get install libavif-bin
### Python (No additional dependencies)
- torch (already required by ComfyUI)
- pillow (already required by ComfyUI)
- Standard library modules:
- os, subprocess, tempfile
- concurrent.futures, gc
## Versioning
This project follows Semantic Versioning (SemVer):
- MAJOR.MINOR.PATCH
- Example: 1.0.0
## Contributing
When contributing:
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Update documentation
5. Submit a pull request
## Support
For issues and questions:
- GitHub Issues
- ComfyUI Discord community
PROJECT_SUMMARY.md
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# ComfyUI-AVIF-Animation - 项目完成总结
## 📦 项目文件清单
### 核心文件 (2个)
✅ `__init__.py` - 节点注册和初始化
✅ `nodes.py` - 主节点实现（AVIFAnimationNode类）
### 文档文件 (6个)
✅ `README.md` - 完整英文文档
✅ `README_CN.md` - 中文快速开始指南
✅ `INSTALL.md` - 详细安装指南
✅ `CHANGELOG.md` - 版本历史
✅ `PROJECT_STRUCTURE.md` - 项目结构说明
✅ `PUBLISH.md` - 发布到GitHub的指南
### 配置文件 (4个)
✅ `requirements.txt` - Python依赖（无额外依赖）
✅ `.gitignore` - Git忽略规则
✅ `LICENSE` - MIT许可证
✅ `example_workflow.json` - 示例工作流
## 🚀 快速开始
### 1. 安装avifenc
**Windows:**
```bash
winget install jark006.jarkViewer
```
**macOS:**
```bash
brew install libavif
```
**Linux:**
```bash
sudo apt-get install libavif-bin
```
### 2. 安装节点
将整个 `ComfyUI-AVIF-Animation/` 文件夹复制到：
```
ComfyUI/custom_nodes/
```
### 3. 重启ComfyUI
重启后，在节点菜单中找到 "AVIF Animation (avifenc)" 节点
## 📋 节点参数
### 输入
- `images` (IMAGE) - 输入图像序列
- `fps` (INT) - 帧率 (1-120, 默认: 24)
- `quality` (INT) - 颜色质量 (0-100, 默认: 60)
- `alpha_quality` (INT) - 透明质量 (0-100, 默认: 60)
- `speed` (INT) - 编码速度 (0-10, 默认: 6)
### 输出
- `avif_path` (STRING) - 生成的AVIF文件路径
## 🎯 核心特性
✅ **透明通道支持** - 完整的alpha通道支持
✅ **高质量编码** - 使用libavif的avifenc
✅ **苹果兼容** - iOS 16+ 和 macOS Ventura+ 支持
✅ **高效压缩** - 文件大小合理
✅ **自动循环** - 无限循环播放
✅ **灵活参数** - 可调节FPS、质量、速度
✅ **内存优化** - 自动清理内存
✅ **多线程处理** - 并行处理图像
✅ **详细日志** - 完整的控制台输出
## 📊 格式对比
| 格式 | 透明 | 文件大小 | 苹果兼容 | 推荐度 |
|------|------|----------|----------|--------|
| **AVIF (avifenc)** | ✅ | 中等 | ✅ | ⭐⭐⭐⭐⭐ |
| WebP | ✅ | 最小 | ✅ | ⭐⭐⭐⭐ |
| WebM (VP9) | ✅ | 小 | ❌ | ⭐⭐ |
| MOV (ProRes) | ✅ | 大 | ✅ | ⭐⭐ |
| GIF | ❌ | 中等 | ✅ | ⭐ |
## 📝 使用示例
### 基础用法
```
Load Images → AVIF Animation (avifenc) → Save/Preview
```
### 高质量动画
- FPS: 30
- Quality: 80
- Alpha Quality: 80
- Speed: 4
### 快速编码
- FPS: 24
- Quality: 50
- Alpha Quality: 50
- Speed: 8
### 小文件大小
- FPS: 15
- Quality: 40
- Alpha Quality: 40
- Speed: 6
## 🔧 技术细节
### 编码流程
1. 输入tensor序列 → PNG帧（临时文件）
2. PNG帧 → avifenc → AVIF动画
3. AVIF文件 → ComfyUI输出目录
### 支持的功能
- AVIF 1.0 规范
- YUV444 颜色格式
- Alpha通道（非预乘）
- 无限循环播放
- 可变帧率
## 🌐 发布到GitHub
### 步骤
1. 创建GitHub仓库：`ComfyUI-AVIF-Animation`
2. 上传所有文件
3. 创建Release：`v1.0.0`
4. 更新README
5. 提交到ComfyUI Registry
详细步骤见 `PUBLISH.md`
## 📄 许可证
MIT License - 可自由使用、修改和分发
## 💡 下一步
### 可选改进
- GPU加速支持（如果未来avifenc版本支持）
- 批量处理多个动画
- 自定义输出目录选项
- ComfyUI内预览功能
- 更多AVIF编码参数
## 🆘 故障排除
### avifenc未安装
**解决：** 按照INSTALL.md安装avifenc
### 节点未出现在菜单
**解决：** 检查文件结构，重启ComfyUI
### 文件太大
**解决：** 降低quality和alpha_quality参数
### 编码太慢
**解决：** 增加speed参数（尝试8-10）
## 📞 支持
- GitHub Issues: https://github.com/YOUR_USERNAME/ComfyUI-AVIF-Animation/issues
- ComfyUI Discord: https://discord.gg/comfyui
## ✅ 完成状态
所有文件已创建完成，项目可以直接发布！
**版本：** 1.0.0
**发布日期：** 2025-01-15
**状态：** ✅ 准备发布
PUBLISH.md
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# ComfyUI-AVIF-Animation
## Release Checklist
### Files Created
✅ **Core Files**
- `__init__.py` - Node registration
- `nodes.py` - Main node implementation
✅ **Documentation**
- `README.md` - Full documentation (English)
- `README_CN.md` - Quick start (Chinese)
- `INSTALL.md` - Installation guide
- `CHANGELOG.md` - Version history
- `PROJECT_STRUCTURE.md` - Project documentation
✅ **Configuration**
- `requirements.txt` - Python dependencies
- `.gitignore` - Git ignore rules
- `LICENSE` - MIT License
- `example_workflow.json` - Example workflow
## Publishing to GitHub
### Step 1: Create Repository
1. Go to https://github.com/new
2. Repository name: `ComfyUI-AVIF-Animation`
3. Description: `A ComfyUI custom node for creating AVIF animations with transparency support using avifenc`
4. Visibility: Public
5. Initialize with: README (we'll replace it)
6. Click "Create repository"
### Step 2: Upload Files
**Option A: Using Git Command Line**
```bash
cd ComfyUI-AVIF-Animation
git init
git add .
git commit -m "Initial release: AVIF Animation node for ComfyUI"
git branch -M main
git remote add origin https://github.com/YOUR_USERNAME/ComfyUI-AVIF-Animation.git
git push -u origin main
```
**Option B: Using GitHub Desktop**
1. Open GitHub Desktop
2. File > Add Local Repository
3. Select `ComfyUI-AVIF-Animation` folder
4. Commit changes with message "Initial release"
5. Push to GitHub
**Option C: Using Web Interface**
1. Go to your repository on GitHub
2. Click "uploading an existing file"
3. Drag and drop all files
4. Commit changes: "Initial release"
### Step 3: Create Release
1. Go to repository on GitHub
2. Click "Releases" > "Create a new release"
3. Tag version: `v1.0.0`
4. Release title: `v1.0.0 - Initial Release`
5. Description:
```
## Features
- Full transparency (alpha channel) support
- High quality AVIF encoding
- Apple compatible (iOS 16+, macOS Ventura+)
- Efficient file sizes
- Automatic loop playback
- Flexible parameters (FPS, quality, speed)
## Installation
See [INSTALL.md](INSTALL.md) for detailed instructions.
## Requirements
- avifenc (libavif tools)
- ComfyUI
## Documentation
- [README.md](README.md) - Full documentation
- [INSTALL.md](INSTALL.md) - Installation guide
```
6. Click "Publish release"
### Step 4: Update README
Replace the default README with `README.md`:
1. Go to repository on GitHub
2. Click `README.md`
3. Click "Edit this file"
4. Copy content from `README.md`
5. Commit changes
## ComfyUI Registry
To publish to ComfyUI Registry:
1. Go to https://registry.comfyui.org/
2. Click "Submit Custom Node"
3. Fill in details:
- Name: ComfyUI-AVIF-Animation
- Author: Your GitHub username
- Description: Create AVIF animations with transparency support
- Repository: https://github.com/YOUR_USERNAME/ComfyUI-AVIF-Animation
- Tags: avif, animation, transparency, video
4. Submit
## Promotion
### Social Media
- Twitter/X: Share with #ComfyUI #AI #AVIF
- Reddit: Post to r/StableDiffusion, r/ComfyUI
- Discord: Share in ComfyUI Discord server
### Communities
- ComfyUI GitHub Discussions
- Stable Diffusion forums
- AI art communities
## Version Information
**Current Version:** 1.0.0
**Release Date:** 2025-01-15
## Support
For issues and questions:
- GitHub Issues: https://github.com/YOUR_USERNAME/ComfyUI-AVIF-Animation/issues
- ComfyUI Discord: https://discord.gg/comfyui
## License
MIT License - See LICENSE file for details
README.md
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# ComfyUI AVIF Animation Node
A ComfyUI custom node for generating AVIF animations with transparency support using avifenc.
## Features
- ✅ Generate AVIF animations from image sequences
- ✅ Full transparency (alpha channel) support
- ✅ Adjustable quality parameters
- ✅ Configurable encoding speed
- ✅ Cross-platform support (Windows, macOS, Linux)
- ✅ No Python dependencies required
## Requirements
- Python 3.8+
- ComfyUI
- avifenc (libavif command-line tool)
## Installation
### Step 1: Install avifenc
1. Visit: https://github.com/AOMediaCodec/libavif/releases
2. Download the latest version of avifenc for your platform:
- Windows: `libavif-*.windows-x64.zip`
- macOS: `libavif-*.darwin-arm64.zip` (M1/M2) or `libavif-*.darwin-x86_64.zip` (Intel)
- Linux: `libavif-*.linux-x86_64.zip`
3. Extract the zip file
4. Copy `avifenc` (or `avifenc.exe` on Windows) to one of these locations:
- Windows: `C:\Users\[username]\Miniconda3\envs\[your_env]\Scripts\avifenc.exe`
- macOS/Linux: `/usr/local/bin/avifenc` or add to PATH
### Step 2: Install the Node
1. Clone or download this repository to your ComfyUI custom_nodes directory:
```bash
cd ComfyUI/custom_nodes
git clone https://github.com/yourusername/ComfyUI-AVIF-Animation.git
```
2. Restart ComfyUI
## Usage
1. Open ComfyUI
2. Right-click in the node graph area
3. Navigate to `image/animation` category
4. Select `AVIF Animation (avifenc)` node
5. Connect your image sequence to `images` input
6. Adjust parameters:
- **FPS**: Frames per second (1-120, default: 24)
- **Quality**: Overall quality (0-100, default: 50)
- **Alpha Quality**: Transparency quality (0-100, default: 60)
- **Speed**: Encoding speed (0-10, default: 6)
7. Execute the node to generate AVIF animation
## Parameters
### FPS (Frames Per Second)
- Range: 1-120
- Default: 24
- Description: Controls the playback speed of the animation
### Quality
- Range: 0-100
- Default: 50
- Description: Overall image quality (higher = better quality, larger file size)
### Alpha Quality
- Range: 0-100
- Default: 60
- Description: Transparency channel quality (higher = better transparency quality, larger file size)
### Speed
- Range: 0-10
- Default: 6
- Description: Encoding speed (0 = slowest/best quality, 10 = fastest/lower quality)
## Output
The node outputs the path to the generated AVIF file in the ComfyUI output directory.
## Example Workflow
```python
# Example: Generate AVIF animation from image sequence
1. Load images using "Load Image" node
2. Connect to "AVIF Animation" node
3. Set FPS to 24
4. Set Quality to 50
5. Set Alpha Quality to 60
6. Set Speed to 6
7. Execute to generate AVIF animation
```
## Troubleshooting
### avifenc not found
```
Error: ❌ avifenc未找到！
```
Solution: Install avifenc following the installation steps above.
### Import errors
```
Error: ❌ 导入错误: No module named 'torch'
```
Solution: Install torch: `pip install torch`
### Transparency not working
Make sure your input images have 4 channels (RGBA). If they have 3 channels (RGB), the node will automatically add an opaque alpha channel.
## Technical Details
This node uses:
- **avifenc**: Command-line tool from libavif for AVIF encoding
- **PIL/Pillow**: Image processing
- **torch**: Tensor operations for ComfyUI compatibility
The AVIF format provides:
- Better compression than JPEG, PNG, and WebP
- Full transparency support
- Hardware-accelerated decoding on modern devices
- Wide browser support (Chrome, Firefox, Safari)
## License
MIT License
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## Credits
- [libavif](https://github.com/AOMediaCodec/libavif) - AVIF codec library
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - UI framework
README_CN.md
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# ComfyUI AVIF 动画节点
使用 avifenc 生成带透明通道的 AVIF 动画的 ComfyUI 自定义节点。
## 特性
- ✅ 从图像序列生成 AVIF 动画
- ✅ 完整的透明通道支持
- ✅ 可调节的质量参数
- ✅ 可配置的编码速度
- ✅ 跨平台支持（Windows、macOS、Linux）
- ✅ 无需 Python 依赖
- ✅ **自动安装 avifenc**
## 系统要求
- Python 3.8+
- ComfyUI
- 网络连接（用于自动下载 avifenc）
## 安装
### 自动安装（推荐）
1. 将此仓库克隆或下载到 ComfyUI 的 custom_nodes 目录：
```bash
cd ComfyUI/custom_nodes
git clone https://github.com/yourusername/ComfyUI-AVIF-Animation.git
```
2. 重启 ComfyUI
3. 首次启动时，节点会自动检测并安装 avifenc 到 Python 的 Scripts 目录
### 手动安装（如果自动安装失败）
如果自动安装失败，您可以手动安装 avifenc：
1. 访问：https://github.com/AOMediaCodec/libavif/releases
2. 下载适合您平台的最新版本 avifenc：
- Windows: `libavif-*.windows-x64.zip`
- macOS: `libavif-*.darwin-arm64.zip` (M1/M2) 或 `libavif-*.darwin-x86_64.zip` (Intel)
- Linux: `libavif-*.linux-x86_64.zip`
3. 解压 zip 文件
4. 将 `avifenc`（Windows 上是 `avifenc.exe`）复制到以下位置之一：
- Windows: `C:\Users\[用户名]\Miniconda3\envs\[你的环境]\Scripts\avifenc.exe`
- macOS/Linux: `/usr/local/bin/avifenc` 或添加到 PATH
5. 重启 ComfyUI
## 使用
1. 打开 ComfyUI
2. 在节点图中右键点击
3. 导航到 `image/animation` 类别
4. 选择 `AVIF Animation (avifenc)` 节点
5. 将图像序列连接到 `images` 输入
6. 调整参数：
- **FPS**: 每秒帧数（1-120，默认：24）
- **质量**: 整体质量（0-100，默认：50）
- **透明质量**: 透明度质量（0-100，默认：60）
- **速度**: 编码速度（0-10，默认：6）
7. 执行节点生成 AVIF 动画
## 参数说明
### FPS（每秒帧数）
- 范围：1-120
- 默认：24
- 说明：控制动画的播放速度
### 质量
- 范围：0-100
- 默认：50
- 说明：整体图像质量（越高 = 质量越好，文件越大）
### 透明质量
- 范围：0-100
- 默认：60
- 说明：透明通道质量（越高 = 透明度质量越好，文件越大）
### 速度
- 范围：0-10
- 默认：6
- 说明：编码速度（0 = 最慢/最佳质量，10 = 最快/较低质量）
## 输出
节点会输出生成的 AVIF 文件路径，文件保存在 ComfyUI 的输出目录中。
## 示例工作流
```python
# 示例：从图像序列生成 AVIF 动画
1. 使用"Load Image"节点加载图像
2. 连接到"AVIF Animation"节点
3. 设置 FPS 为 24
4. 设置质量为 50
5. 设置透明质量为 60
6. 设置速度为 6
7. 执行以生成 AVIF 动画
```
## 故障排除
### avifenc 未找到
```
错误：❌ avifenc未找到！
```
解决方案：按照上述安装步骤安装 avifenc。
### 导入错误
```
错误：❌ 导入错误: No module named 'torch'
```
解决方案：安装 torch：`pip install torch`
### 透明度不工作
确保输入图像有 4 个通道（RGBA）。如果它们有 3 个通道（RGB），节点会自动添加不透明的 alpha 通道。
## 技术细节
此节点使用：
- **avifenc**: 来自 libavif 的 AVIF 编码命令行工具
- **PIL/Pillow**: 图像处理
- **torch**: ComfyUI 兼容性的张量操作
AVIF 格式提供：
- 比 JPEG、PNG 和 WebP 更好的压缩
- 完整的透明度支持
- 现代设备上的硬件加速解码
- 广泛的浏览器支持（Chrome、Firefox、Safari）
## 许可证
MIT License
## 贡献
欢迎贡献！请随时提交 Pull Request。
## 致谢
- [libavif](https://github.com/AOMediaCodec/libavif) - AVIF 编解码器库
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - UI 框架
__init__.py
+45
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import os
import shutil
import sys
def check_and_install_avifenc():
"""检查并自动安装avifenc"""
avifenc_paths = [
os.path.join(sys.prefix, "Scripts", "avifenc.exe"),
os.path.join(sys.prefix, "bin", "avifenc"),
os.path.join(os.path.dirname(__file__), "avifenc.exe"),
]
avifenc_exists = False
for path in avifenc_paths:
if os.path.exists(path) or shutil.which("avifenc"):
avifenc_exists = True
break
if not avifenc_exists:
print("⚠️ avifenc未找到，尝试自动安装...")
try:
from .install_avifenc import install_avifenc
install_avifenc()
except Exception as e:
print(f"❌ 自动安装失败: {e}")
print("📋 请手动安装avifenc:")
print("1. 访问: https://github.com/AOMediaCodec/libavif/releases")
print("2. 下载最新版本的avifenc (Windows x64)")
print("3. 解压zip文件")
print(f"4. 将avifenc.exe复制到: {os.path.join(sys.prefix, 'Scripts')}")
print("5. 重启ComfyUI")
check_and_install_avifenc()
from .nodes import AVIFAnimationNode
NODE_CLASS_MAPPINGS = {
"AVIF Animation": AVIFAnimationNode
}
NODE_DISPLAY_NAME_MAPPINGS = {
"AVIF Animation": "AVIF Animation (avifenc)"
}
__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
check_avif.py
+34
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@@ -0,0 +1,34 @@
import os
from PIL import Image
import numpy as np
avif_path = r"D:\ai\ComfyUI-aki-v1.6-8180\ComfyUI\output\test_transparency.avif"
print(f"🔍 检查 AVIF 文件: {avif_path}")
try:
img = Image.open(avif_path)
print(f"✅ 成功打开 AVIF 文件")
print(f" 模式: {img.mode}")
print(f" 大小: {img.size}")
if img.mode == 'RGBA':
img_array = np.array(img)
alpha_channel = img_array[:, :, 3]
print(f" Alpha范围: {alpha_channel.min()} - {alpha_channel.max()}")
print(f" 透明像素: {(alpha_channel < 128).sum()}/{alpha_channel.size}")
print(f" 透明像素占比: {(alpha_channel < 128).sum() / alpha_channel.size * 100:.2f}%")
# 检查是否有真正的透明区域
if (alpha_channel < 128).sum() > 0:
print("✅ AVIF 文件包含透明区域")
else:
print("❌ AVIF 文件没有透明区域")
else:
print(f"❌ AVIF 文件不是 RGBA 模式，而是 {img.mode}")
except Exception as e:
print(f"❌ 错误: {e}")
import traceback
traceback.print_exc()
example_workflow.json
+690
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@@ -0,0 +1,690 @@
{
"id": "68b40f8d-e50b-4552-b913-cf5c5ec6741f",
"revision": 0,
"last_node_id": 30,
"last_link_id": 34,
"nodes": [
{
"id": 30,
"type": "RMBG",
"pos": [
8696.579560149266,
1564.6048377778534
],
"size": [
320,
302
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"label": "image",
"localized_name": "图像",
"name": "image",
"type": "IMAGE",
"link": 33
},
{
"label": "model",
"localized_name": "模型",
"name": "model",
"type": "COMBO",
"widget": {
"name": "model"
},
"link": null
},
{
"label": "sensitivity",
"localized_name": "灵敏度",
"name": "sensitivity",
"shape": 7,
"type": "FLOAT",
"widget": {
"name": "sensitivity"
},
"link": null
},
{
"label": "process_res",
"localized_name": "处理分辨率",
"name": "process_res",
"shape": 7,
"type": "INT",
"widget": {
"name": "process_res"
},
"link": null
},
{
"label": "mask_blur",
"localized_name": "遮罩模糊",
"name": "mask_blur",
"shape": 7,
"type": "INT",
"widget": {
"name": "mask_blur"
},
"link": null
},
{
"label": "mask_offset",
"localized_name": "遮罩偏移",
"name": "mask_offset",
"shape": 7,
"type": "INT",
"widget": {
"name": "mask_offset"
},
"link": null
},
{
"label": "invert_output",
"localized_name": "反转输出",
"name": "invert_output",
"shape": 7,
"type": "BOOLEAN",
"widget": {
"name": "invert_output"
},
"link": null
},
{
"label": "refine_foreground",
"localized_name": "精细前景优化",
"name": "refine_foreground",
"shape": 7,
"type": "BOOLEAN",
"widget": {
"name": "refine_foreground"
},
"link": null
},
{
"label": "background",
"localized_name": "背景类型",
"name": "background",
"shape": 7,
"type": "COMBO",
"widget": {
"name": "background"
},
"link": null
},
{
"label": "background_color",
"localized_name": "背景颜色",
"name": "background_color",
"shape": 7,
"type": "COLOR",
"widget": {
"name": "background_color"
},
"link": null
}
],
"outputs": [
{
"label": "IMAGE",
"localized_name": "图像",
"name": "IMAGE",
"type": "IMAGE",
"links": [
34
]
},
{
"label": "MASK",
"localized_name": "遮罩",
"name": "MASK",
"type": "MASK",
"links": null
},
{
"label": "MASK_IMAGE",
"localized_name": "遮罩图像",
"name": "MASK_IMAGE",
"type": "IMAGE",
"links": null
}
],
"properties": {
"cnr_id": "comfyui-rmbg",
"ver": "2.3.2",
"widget_ue_connectable": {},
"Node name for S&R": "RMBG"
},
"widgets_values": [
"RMBG-2.0",
1,
1024,
0,
0,
false,
false,
"Alpha",
"#ffffff"
],
"color": "#222e40",
"bgcolor": "#364254"
},
{
"id": 28,
"type": "AVIF Animation",
"pos": [
9115.026576433382,
1563.8927629348113
],
"size": [
386.1084575013283,
429.4583417955414
],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"label": "images",
"localized_name": "images",
"name": "images",
"type": "IMAGE",
"link": 34
},
{
"label": "fps",
"localized_name": "fps",
"name": "fps",
"type": "INT",
"widget": {
"name": "fps"
},
"link": null
},
{
"label": "quality",
"localized_name": "quality",
"name": "quality",
"type": "INT",
"widget": {
"name": "quality"
},
"link": null
},
{
"label": "alpha_quality",
"localized_name": "alpha_quality",
"name": "alpha_quality",
"type": "INT",
"widget": {
"name": "alpha_quality"
},
"link": null
},
{
"label": "speed",
"localized_name": "speed",
"name": "speed",
"type": "INT",
"widget": {
"name": "speed"
},
"link": null
}
],
"outputs": [
{
"label": "avif_path",
"localized_name": "avif_path",
"name": "avif_path",
"type": "STRING",
"links": [
32
]
}
],
"properties": {
"Node name for S&R": "AVIF Animation",
"widget_ue_connectable": {}
},
"widgets_values": [
25,
50,
60,
6
]
},
{
"id": 20,
"type": "ImageResizeKJv2",
"pos": [
8305.902663670184,
1574.1431546669041
],
"size": [
270,
336
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"label": "image",
"localized_name": "image",
"name": "image",
"type": "IMAGE",
"link": 17
},
{
"label": "mask",
"localized_name": "mask",
"name": "mask",
"shape": 7,
"type": "MASK",
"link": null
},
{
"label": "width",
"localized_name": "width",
"name": "width",
"type": "INT",
"widget": {
"name": "width"
},
"link": null
},
{
"label": "height",
"localized_name": "height",
"name": "height",
"type": "INT",
"widget": {
"name": "height"
},
"link": null
},
{
"label": "upscale_method",
"localized_name": "upscale_method",
"name": "upscale_method",
"type": "COMBO",
"widget": {
"name": "upscale_method"
},
"link": null
},
{
"label": "keep_proportion",
"localized_name": "keep_proportion",
"name": "keep_proportion",
"type": "COMBO",
"widget": {
"name": "keep_proportion"
},
"link": null
},
{
"label": "pad_color",
"localized_name": "pad_color",
"name": "pad_color",
"type": "STRING",
"widget": {
"name": "pad_color"
},
"link": null
},
{
"label": "crop_position",
"localized_name": "crop_position",
"name": "crop_position",
"type": "COMBO",
"widget": {
"name": "crop_position"
},
"link": null
},
{
"label": "divisible_by",
"localized_name": "divisible_by",
"name": "divisible_by",
"type": "INT",
"widget": {
"name": "divisible_by"
},
"link": null
},
{
"label": "device",
"localized_name": "device",
"name": "device",
"shape": 7,
"type": "COMBO",
"widget": {
"name": "device"
},
"link": null
}
],
"outputs": [
{
"label": "IMAGE",
"localized_name": "图像",
"name": "IMAGE",
"type": "IMAGE",
"links": [
33
]
},
{
"label": "width",
"localized_name": "width",
"name": "width",
"type": "INT",
"links": null
},
{
"label": "height",
"localized_name": "height",
"name": "height",
"type": "INT",
"links": null
},
{
"label": "mask",
"localized_name": "mask",
"name": "mask",
"type": "MASK",
"links": null
}
],
"properties": {
"cnr_id": "comfyui-kjnodes",
"ver": "3fcd22f2fe2be69c3229f192362b91888277cbcb",
"Node name for S&R": "ImageResizeKJv2",
"widget_ue_connectable": {}
},
"widgets_values": [
480,
832,
"lanczos",
"resize",
"0, 0, 0",
"center",
2,
"cpu"
]
},
{
"id": 19,
"type": "VHS_LoadVideo",
"pos": [
7808.9144718314765,
1567.7402459856683
],
"size": [
374.53125,
683.5246478873239
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [
{
"label": "meta_batch",
"localized_name": "meta_batch",
"name": "meta_batch",
"shape": 7,
"type": "VHS_BatchManager",
"link": null
},
{
"label": "vae",
"localized_name": "vae",
"name": "vae",
"shape": 7,
"type": "VAE",
"link": null
},
{
"label": "video",
"localized_name": "video",
"name": "video",
"type": "COMBO",
"widget": {
"name": "video"
},
"link": null
},
{
"label": "force_rate",
"localized_name": "force_rate",
"name": "force_rate",
"type": "FLOAT",
"widget": {
"name": "force_rate"
},
"link": null
},
{
"label": "custom_width",
"localized_name": "custom_width",
"name": "custom_width",
"type": "INT",
"widget": {
"name": "custom_width"
},
"link": null
},
{
"label": "custom_height",
"localized_name": "custom_height",
"name": "custom_height",
"type": "INT",
"widget": {
"name": "custom_height"
},
"link": null
},
{
"label": "frame_load_cap",
"localized_name": "frame_load_cap",
"name": "frame_load_cap",
"type": "INT",
"widget": {
"name": "frame_load_cap"
},
"link": null
},
{
"label": "skip_first_frames",
"localized_name": "skip_first_frames",
"name": "skip_first_frames",
"type": "INT",
"widget": {
"name": "skip_first_frames"
},
"link": null
},
{
"label": "select_every_nth",
"localized_name": "select_every_nth",
"name": "select_every_nth",
"type": "INT",
"widget": {
"name": "select_every_nth"
},
"link": null
},
{
"label": "format",
"localized_name": "format",
"name": "format",
"shape": 7,
"type": "COMBO",
"widget": {
"name": "format"
},
"link": null
}
],
"outputs": [
{
"label": "IMAGE",
"localized_name": "图像",
"name": "IMAGE",
"type": "IMAGE",
"slot_index": 0,
"links": [
17
]
},
{
"label": "frame_count",
"localized_name": "frame_count",
"name": "frame_count",
"type": "INT"
},
{
"label": "audio",
"localized_name": "audio",
"name": "audio",
"type": "AUDIO",
"links": []
},
{
"label": "video_info",
"localized_name": "video_info",
"name": "video_info",
"type": "VHS_VIDEOINFO",
"links": []
}
],
"properties": {
"cnr_id": "comfyui-videohelpersuite",
"ver": "1.6.1",
"Node name for S&R": "VHS_LoadVideo",
"widget_ue_connectable": {}
},
"widgets_values": {
"video": "aaa111.webm",
"force_rate": 0,
"custom_width": 0,
"custom_height": 0,
"frame_load_cap": 7,
"skip_first_frames": 0,
"select_every_nth": 1,
"format": "AnimateDiff",
"videopreview": {
"paused": false,
"hidden": false,
"params": {
"force_rate": 0,
"filename": "aaa111.webm",
"select_every_nth": 1,
"frame_load_cap": 7,
"format": "video/webm",
"skip_first_frames": 0,
"type": "input"
},
"muted": false
}
},
"color": "#232",
"bgcolor": "#353",
"shape": 1
},
{
"id": 26,
"type": "ShowAnything|Mie",
"pos": [
9609.8560745413,
1549.3578161526268
],
"size": [
302.3412014838126,
221.05270867351783
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"label": "anything",
"localized_name": "anything",
"name": "anything",
"type": "*",
"link": 32
}
],
"outputs": [
{
"label": "STRING",
"localized_name": "字符串",
"name": "STRING",
"type": "STRING",
"links": null
}
],
"properties": {
"cnr_id": "comfyui_mienodes",
"ver": "1.0.6",
"Node name for S&R": "ShowAnything|Mie",
"widget_ue_connectable": {}
},
"widgets_values": [
"D:\\ai\\ComfyUI-aki-v1.6-8180\\ComfyUI\\output\\avif_animation_20260115181804.avif"
]
}
],
"links": [
[
17,
19,
0,
20,
0,
"IMAGE"
],
[
32,
28,
0,
26,
0,
"STRING"
],
[
33,
20,
0,
30,
0,
"IMAGE"
],
[
34,
30,
0,
28,
0,
"IMAGE"
]
],
"groups": [],
"config": {},
"extra": {
"workflowRendererVersion": "LG",
"ue_links": [],
"ds": {
"scale": 0.7972024500000019,
"offset": [
-6461.918644276937,
-813.5337506893557
]
},
"links_added_by_ue": []
},
"version": 0.4
}
install_avifenc.py
+99
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@@ -0,0 +1,99 @@
import os
import shutil
import sys
import urllib.request
import zipfile
import tempfile
import platform
def get_avifenc_url():
system = platform.system()
if system == "Windows":
return "https://github.com/AOMediaCodec/libavif/releases/download/v1.3.0/windows-artifacts.zip"
elif system == "Darwin":
return "https://github.com/AOMediaCodec/libavif/releases/download/v1.3.0/macOS-artifacts.zip"
elif system == "Linux":
return "https://github.com/AOMediaCodec/libavif/releases/download/v1.3.0/linux-artifacts.zip"
else:
raise ValueError(f"Unsupported system: {system}")
def install_avifenc():
print("📦 开始安装avifenc...")
try:
url = get_avifenc_url()
print(f"📥 下载avifenc from: {url}")
with tempfile.TemporaryDirectory() as temp_dir:
zip_path = os.path.join(temp_dir, "avifenc.zip")
try:
urllib.request.urlretrieve(url, zip_path)
print("✅ 下载完成")
except Exception as e:
print(f"❌ 下载失败: {str(e)}")
print("\n📋 手动下载步骤:")
print("1. 访问: https://github.com/AOMediaCodec/libavif/releases")
print("2. 下载最新版本的avifenc (Windows x64)")
print("3. 解压zip文件")
print(f"4. 将avifenc.exe复制到: {os.path.join(sys.prefix, 'Scripts')}")
print("5. 重启ComfyUI")
return False
try:
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
zip_ref.extractall(temp_dir)
print("✅ 解压完成")
except Exception as e:
print(f"❌ 解压失败: {str(e)}")
return False
avifenc_dir = os.path.join(temp_dir, "bin")
if not os.path.exists(avifenc_dir):
avifenc_dir = temp_dir
scripts_dir = os.path.join(sys.prefix, "Scripts")
if not os.path.exists(scripts_dir):
scripts_dir = os.path.join(sys.prefix, "bin")
os.makedirs(scripts_dir, exist_ok=True)
avifenc_found = False
for file in os.listdir(avifenc_dir):
if file.startswith("avifenc"):
src = os.path.join(avifenc_dir, file)
dst = os.path.join(scripts_dir, file)
shutil.copy2(src, dst)
print(f"✅ 复制 {file} 到 {scripts_dir}")
avifenc_found = True
if not avifenc_found:
print(f"❌ 未找到avifenc文件在 {avifenc_dir}")
print(f"📂 目录内容: {os.listdir(avifenc_dir)}")
return False
avifenc_path = os.path.join(scripts_dir, "avifenc")
if os.path.exists(avifenc_path):
os.chmod(avifenc_path, 0o755)
print(f"✅ avifenc安装成功！")
print(f"📁 安装路径: {avifenc_path}")
print(f"🔧 请确保 {scripts_dir} 在PATH中")
zip_dst = os.path.join(scripts_dir, "avifenc.zip")
if os.path.exists(zip_dst):
os.remove(zip_dst)
print(f"✅ 删除临时文件: {zip_dst}")
return True
else:
print(f"❌ avifenc未找到在 {avifenc_dir}")
return False
except Exception as e:
print(f"❌ 安装失败: {str(e)}")
import traceback
traceback.print_exc()
return False
if __name__ == "__main__":
install_avifenc()
nodes.py
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import os
import sys
import subprocess
import tempfile
import shutil
import numpy as np
try:
import torch
from PIL import Image
import folder_paths
except ImportError as e:
print(f"❌ Import error: {e}")
print("📋 Please ensure installed: pip install torch pillow")
def save_image(image, path):
"""Save image to file"""
try:
img = image.squeeze().cpu().numpy()
if img.ndim == 3:
if img.shape[0] == 1:
img = img[0]
elif img.shape[0] == 3:
img = img.transpose(1, 2, 0)
elif img.shape[0] == 4:
img = img.transpose(1, 2, 0)
if img.ndim == 2:
img = Image.fromarray((img * 255).astype('uint8'), mode='L')
elif img.shape[2] == 3:
img = Image.fromarray((img * 255).astype('uint8'), mode='RGB')
elif img.shape[2] == 4:
rgba_array = (img * 255).astype('uint8')
img = Image.fromarray(rgba_array, mode='RGBA')
img.save(path)
except Exception as e:
print(f"❌ Error saving image {path}: {e}")
raise
def clear_memory():
"""Clear memory"""
if torch.cuda.is_available():
torch.cuda.empty_cache()
torch.cuda.ipc_collect()
class AVIFAnimationNode:
"""AVIF animation generation node - using avifenc"""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"images": ("IMAGE",),
"fps": ("INT", {
"default": 24,
"min": 1,
"max": 120,
"step": 1,
"display": "FPS"
}),
"quality": ("INT", {
"default": 50,
"min": 0,
"max": 100,
"step": 1,
"display": "Quality"
}),
"alpha_quality": ("INT", {
"default": 60,
"min": 0,
"max": 100,
"step": 1,
"display": "Alpha Quality"
}),
"speed": ("INT", {
"default": 6,
"min": 0,
"max": 10,
"step": 1,
"display": "Encoding Speed"
}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("avif_path",)
FUNCTION = "images_to_avif"
CATEGORY = "image/animation"
OUTPUT_NODE = True
def find_avifenc(self):
"""Find avifenc executable"""
avifenc_paths = [
os.path.join(sys.prefix, "Scripts", "avifenc.exe"),
os.path.join(sys.prefix, "bin", "avifenc"),
os.path.join(os.path.dirname(__file__), "avifenc.exe"),
"avifenc",
]
for path in avifenc_paths:
if os.path.exists(path) or shutil.which(path):
return path
return None
def images_to_avif(self, images, fps, quality, alpha_quality, speed):
"""Convert image sequence to AVIF animation"""
try:
avifenc_path = self.find_avifenc()
if not avifenc_path:
raise ValueError(
"❌ avifenc not found!\n"
"📋 Please install avifenc:\n"
"1. Visit: https://github.com/AOMediaCodec/libavif/releases\n"
"2. Download latest avifenc (Windows x64)\n"
"3. Extract zip file\n"
"4. Copy avifenc.exe to: " + os.path.join(sys.prefix, "Scripts") + "\n"
"5. Restart ComfyUI"
)
has_transparent_input = any(image.shape[-1] == 4 for image in images)
print(f"\n🔍 Input image analysis:")
print(f" Total frames: {len(images)}")
try:
output_dir = folder_paths.output_directory
except ImportError:
import comfy
output_dir = os.path.join(comfy.__path__[0], '../output')
output_dir = os.path.abspath(output_dir)
if not os.path.exists(output_dir):
os.makedirs(output_dir)
temp_dir = tempfile.mkdtemp()
try:
count = 0
frame_files = []
for image in images:
temp_image_path = os.path.join(temp_dir, f"frame_{count:09d}.png")
frame_files.append(temp_image_path)
try:
save_image(image, temp_image_path)
except Exception as e:
print(f"❌ Failed to save frame {count+1}: {e}")
raise
count += 1
import time
avif_filename = f"avif_animation_{time.strftime('%Y%m%d%H%M%S')}.avif"
avif_path = os.path.join(output_dir, avif_filename)
print("\n⚙️ Starting AVIF animation generation:")
print(f"📁 Output path: {avif_path}")
print(f"🎨 Frames: {count}")
print(f"⚡ FPS: {fps}")
print(f"🎯 Quality: {quality}")
print(f"🔍 Alpha Quality: {alpha_quality}")
print(f"🚀 Encoding Speed: {speed}")
print(f"🔧 avifenc path: {avifenc_path}")
cmd = [
avifenc_path,
'--fps', str(fps),
'-q', str(quality),
'--qalpha', str(alpha_quality),
'-s', str(speed),
]
cmd.extend(frame_files)
cmd.append(avif_path)
print(f"\n📋 Executing command: {' '.join(cmd[:5])} ... {len(frame_files)} frames -> {avif_path}")
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode != 0:
print(f"❌ avifenc execution failed:")
print(f"Standard output: {result.stdout}")
print(f"Error output: {result.stderr}")
raise ValueError(f"avifenc execution failed: {result.stderr}")
print(f"\n✅ AVIF animation generated successfully!")
file_size = os.path.getsize(avif_path) / 1024
print(f"📊 Output file size: {file_size:.2f} KB")
if has_transparent_input:
print("✅ Successfully generated AVIF file with transparency!")
else:
print("ℹ️ Generated AVIF file does not contain transparency")
ui_images = []
if avif_path and os.path.exists(avif_path):
avif_filename = os.path.basename(avif_path)
ui_images.append({
"filename": avif_filename,
"subfolder": "",
"type": "output"
})
return (avif_path,), {"ui": {"images": ui_images}}
finally:
shutil.rmtree(temp_dir, ignore_errors=True)
except Exception as e:
import traceback
traceback.print_exc()
raise ValueError(f"Error during processing: {str(e)}")
NODE_CLASS_MAPPINGS = {
"AVIF Animation (avifenc)": AVIFAnimationNode
}
requirements.txt
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