ComfyUI-TranslationNode

🈯 ComfyUI Translation Node (Offline)

Offline translation node for ComfyUI, powered by Facebook's M2M-100 multilingual model. Translate text between 100+ languages — completely offline and private.

🚀 Features

• 🌍 Translate between 100+ languages
• 🧠 Automatic source language detection
• ⚡ Works entirely offline once the model is downloaded
• 🧩 Seamless integration with text/image/video workflows in ComfyUI
• 💾 Cached model for faster reuse

🛠️ Installation

1. Copy or clone this repository into your ComfyUI custom nodes folder:

   ComfyUI/custom_nodes/ComfyUI-TranslationNode/
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Prepare the model files (see the next section).
4. Restart ComfyUI and look for 🈯 Translation Node (Offline) under the Text category.

🧱 Local Model Setup

This node uses Facebook’s M2M-100 (418M) multilingual translation model.

1. Download the model manually from Hugging Face: 🔗 https://huggingface.co/facebook/m2m100_418M
2. Create the following folder structure inside your ComfyUI installation:

   ComfyUI/
   ├── custom_nodes/
   │   └── ComfyUI-TranslationNode/
   └── models/
       └── translation/
           └── facebook/
               └── m2m100_418M/
   

3. Place all downloaded files into that final folder (m2m100_418M/):

   pytorch_model.bin
   rust_model.ot
   config.json
   source.spm
   target.spm
   tokenizer_config.json
   special_tokens_map.json
   

4. When you launch ComfyUI, you should see this in the console:

   [TranslationNode] Using local model: models/translation/facebook/m2m100_418M
   

✅ Once the model is in place, the node will never download anything — it will always load from your local drive.

💡 Usage

1. Add the Translation Node to your workflow.
2. Enter any text you want to translate.
3. Choose a target language (default: en).
4. The source language can be set to auto for automatic detection.
5. Connect the output (translated_text) to other nodes — for example, to an image generation prompt.
6. Enjoy entering prompts in your own language — the node will handle the translation automatically!

🧠 Model Details

• Model: facebook/m2m100_418M
• Type: Multilingual encoder-decoder transformer
• Languages supported: 100+
• Size on disk: ~3.6 GB (pytorch_model.bin ~1.8 GB, rust_model.ot ~1.8 GB)
• Framework: PyTorch via Hugging Face Transformers

🔒 Privacy & Security

This node runs entirely offline.

• 🧩 All translations are processed locally on your computer.
• 💾 The model is loaded from ComfyUI/models/translation/facebook/m2m100_418M.
• 🚫 No text, metadata, or user data is ever sent to external servers or APIs.
• 🔐 Safe to use with confidential or private content.
• 🔌 Once installed, you can use it without any internet connection.

⚙️ Requirements

transformers>=4.41.0
sentencepiece
torch
langdetect

👤 Author

Petr Provazník – 2025

📄 License

MIT License © 2025
Created for the ComfyUI community.