ComfyUI-PromptTranslator

ComfyUI-PromptTranslator

English | 中文

A ComfyUI custom node for translating text prompts using local GGUF models. Powered by llama-cpp-python, it supports translation to English or Chinese without requiring internet connection or API keys.

Features

• Local Translation: Uses GGUF models via llama-cpp-python, no internet required
• English & Chinese Support: Translate to English or Chinese (Simplified)
• VRAM Optimization: Automatically unload model after translation to free VRAM
• Text Display Node: Built-in ShowTextNode for debugging and displaying translation results

1. Installation

Prerequisites

• Python 3.10+
• ComfyUI installed

Install the Node

cd ComfyUI/custom_nodes
git clone https://github.com/er1cw00/ComfyUI-PromptTranslator.git
cd ComfyUI-PromptTranslator
pip install -r requirements.txt

Restart ComfyUI

2. Model Directory

Where to place GGUF models

Place your .gguf model files in models/gguf:

ComfyUI/
├── models/
│   └── gguf/           
│       ├── Qwen2.5-7B-Instruct-Q4_K_M.gguf
│       ├── Qwen2.5-7B-Instruct-Uncensored.Q4_K_M.gguf
│       └── ...

The node will automatically:

1. Scan and list all .gguf files in models/gguf/ directory.
2. Create the models/gguf/ directory if it doesn't exist

Recommended Models

Model	Size	Download
Qwen2.5-7B-Instruct-Q4_K_M.gguf	~4.7GB	HuggingFace
Qwen2.5-7B-Instruct-Uncensored.Q4_K_M.gguf	~4.7GB	HuggingFace

Note: Larger models provide better translation quality but require more VRAM/RAM.

3. Usage Guide

Prompt Translator Node

• prompt: Input prompt to be translated
• model: Select GGUF model
• device: Select inference device (cpu/cuda/mps)
• n_gpu_layers: Number of GPU layers (only effective when device=cuda, -1 means all layers on GPU)
• target_language: Target language (English or Chinese (Simplified))

Show Text Node

Used for displaying and debugging text content. Can visualize the translation results from PromptTranslatorNode.

• text: Input text (supports connection from other nodes' STRING output)
• Displays input text content on the node in real-time

Screenshot

License

MIT License