ComfyUI-Targm

A ComfyUI custom node for high-quality text translation using Tencent's HY-MT1.5-1.8B-FP8 model. This node is specifically designed to handle broad translation tasks across 36+ languages, making it ideal for translating prompts or descriptions within your ComfyUI workflows.

Features

• High Performance: Uses the FP8 quantized version of HY-MT1.5 (1.8B parameters) for fast inference and lower VRAM usage.
• Multilingual Support: Supports 36 languages including Arabic, Chinese, English, Japanese, French, and many more.
• Auto-Download: Automatically downloads the necessary model files from Hugging Face on first use.
• Lazy Loading: The model is loaded into memory only when needed and cached for subsequent runs.

Supported Languages

English, Arabic, Bengali, Burmese, Chinese, Czech, Dutch, French, German, Gujarati, Hebrew, Hindi, Indonesian, Italian, Japanese, Kazakh, Khmer, Korean, Malay, Marathi, Mongolian, Persian, Polish, Portuguese, Russian, Spanish, Tagalog, Tamil, Telugu, Thai, Tibetan, Turkish, Ukrainian, Urdu, Uyghur, Vietnamese.

Installation

1. Head to ComfyUI/custom_nodes directory and clone this repository

   git clone https://github.com/MohammadAboulEla/ComfyUI-Targm.git
   

2. Head to ComfyUI-Targm directory and Install the required dependencies (python_embeded):

   ../../../python_embeded/python.exe -m pip install -r requirements.txt
   

Model Credit

Based on tencent/HY-MT1.5-1.8B-FP8.

Usage

1. Add the Targm node in ComfyUI (Found under the Targm category).
2. Inputs:
   • text: The text you want to translate (supports multiline).
   • target_language: Select the destination language from the dropdown.
3. Outputs:
   • translated_text: The resulting translated string.

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