XB_ToolBox
A comprehensive ComfyUI extension suite encompassing both front-end interaction and low-level memory scheduling, designed to help beginners master workflows and simplify local deployment.
How much VRAM does XB_ToolBox require?
Direct Answer: The ComfyUI node XB_ToolBox requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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What Python packages are required for XB_ToolBox?
Direct Answer: Running XB_ToolBox requires installing the following Python package dependencies: aiohttp# 异步HTTP (音频波形端点), av# PyAV - 音频解码 (AudioSlicer), conformer>=0.3.2 # Conformer 模型组件, diffusers>=0.29.0 # Diffusers 扩散模型, diskcache# 磁盘缓存, easyocr# OCR 文字识别 (漫画工具), einops# 张量操作, gguf# GGUF 模型格式解析, huggingface_hub# HuggingFace 模型下载, hydra-core>=1.3.0 # Hydra 配置框架, hyperpyyaml>=1.2.0 # YAML 配置解析, imageio-ffmpeg# FFmpeg 回退 (视频服务器), inflect>=7.0.0 # 英文单词变形, librosa>=0.10.0 # 音频处理, matplotlib# 可视化 (训练/绘图), modelscope# ModelScope 模型下载, numpy, omegaconf>=2.3.0 # OmegaConf 配置, onnxruntime>=1.18.0 # ONNX 推理 (人像分割 + CosyVoice3), openai-whisper# 语音转文字 (自动转录), opencv-python# 图像处理 (漫画/视频节点), pillow, psutil# CPU/内存/磁盘系统信息, pyarrow>=14.0.0 # Arrow 数据处理, pydantic>=2.0.0 # 数据验证, pythonnet# .NET 桥接 (LibreHardwareMonitor GPU 监控), pyworld>=0.3.0 # 基频提取 (WORLD vocoder), regex# 高级正则表达式, requests# HTTP 请求, ruamel.yaml<0.18 # YAML 读写, scipy# 科学计算, soundfile>=0.12.0 # 音频文件读写, tiktoken# BPE 分词器, tqdm, transformers>=4.40.0 # 模型/分词器, wetext>=0.1.0 # 文本规范化, x-transformers>=2.0.0 # Transformer 扩展. Ensure your ComfyUI environment has these packages active before launching.
aiohttp# 异步HTTP (音频波形端点)
av# PyAV - 音频解码 (AudioSlicer)
conformer>=0.3.2 # Conformer 模型组件
diffusers>=0.29.0 # Diffusers 扩散模型
diskcache# 磁盘缓存
easyocr# OCR 文字识别 (漫画工具)
einops# 张量操作
gguf# GGUF 模型格式解析
huggingface_hub# HuggingFace 模型下载
hydra-core>=1.3.0 # Hydra 配置框架
hyperpyyaml>=1.2.0 # YAML 配置解析
imageio-ffmpeg# FFmpeg 回退 (视频服务器)
inflect>=7.0.0 # 英文单词变形
librosa>=0.10.0 # 音频处理
matplotlib# 可视化 (训练/绘图)
modelscope# ModelScope 模型下载
numpy
omegaconf>=2.3.0 # OmegaConf 配置
onnxruntime>=1.18.0 # ONNX 推理 (人像分割 + CosyVoice3)
openai-whisper# 语音转文字 (自动转录)
opencv-python# 图像处理 (漫画/视频节点)
pillow
psutil# CPU/内存/磁盘系统信息
pyarrow>=14.0.0 # Arrow 数据处理
pydantic>=2.0.0 # 数据验证
pythonnet# .NET 桥接 (LibreHardwareMonitor GPU 监控)
pyworld>=0.3.0 # 基频提取 (WORLD vocoder)
regex# 高级正则表达式
requests# HTTP 请求
ruamel.yaml<0.18 # YAML 读写
scipy# 科学计算
soundfile>=0.12.0 # 音频文件读写
tiktoken# BPE 分词器
tqdm
transformers>=4.40.0 # 模型/分词器
wetext>=0.1.0 # 文本规范化
x-transformers>=2.0.0 # Transformer 扩展Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does XB_ToolBox require?
XB_ToolBox requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run XB_ToolBox on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What Python packages are required for XB_ToolBox?
To run XB_ToolBox, you need to install: aiohttp# 异步HTTP (音频波形端点), av# PyAV - 音频解码 (AudioSlicer), conformer>=0.3.2 # Conformer 模型组件, diffusers>=0.29.0 # Diffusers 扩散模型, diskcache# 磁盘缓存, easyocr# OCR 文字识别 (漫画工具), einops# 张量操作, gguf# GGUF 模型格式解析, huggingface_hub# HuggingFace 模型下载, hydra-core>=1.3.0 # Hydra 配置框架, hyperpyyaml>=1.2.0 # YAML 配置解析, imageio-ffmpeg# FFmpeg 回退 (视频服务器), inflect>=7.0.0 # 英文单词变形, librosa>=0.10.0 # 音频处理, matplotlib# 可视化 (训练/绘图), modelscope# ModelScope 模型下载, numpy, omegaconf>=2.3.0 # OmegaConf 配置, onnxruntime>=1.18.0 # ONNX 推理 (人像分割 + CosyVoice3), openai-whisper# 语音转文字 (自动转录), opencv-python# 图像处理 (漫画/视频节点), pillow, psutil# CPU/内存/磁盘系统信息, pyarrow>=14.0.0 # Arrow 数据处理, pydantic>=2.0.0 # 数据验证, pythonnet# .NET 桥接 (LibreHardwareMonitor GPU 监控), pyworld>=0.3.0 # 基频提取 (WORLD vocoder), regex# 高级正则表达式, requests# HTTP 请求, ruamel.yaml<0.18 # YAML 读写, scipy# 科学计算, soundfile>=0.12.0 # 音频文件读写, tiktoken# BPE 分词器, tqdm, transformers>=4.40.0 # 模型/分词器, wetext>=0.1.0 # 文本规范化, x-transformers>=2.0.0 # Transformer 扩展. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running XB_ToolBox?
XB_ToolBox supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install XB_ToolBox in ComfyUI?
To install XB_ToolBox: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/WJLUOXIAO/XB_ToolBox, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.