ComfyUI_kkTranslator_nodes

By kingzcheungView on GitHub →

These nodes are mainly used to translate prompt words from other languages into English. PromptTranslateToText implements prompt word translation based on Helsinki NLP translation model.It doesn't require internet connection。

How much VRAM does ComfyUI_kkTranslator_nodes require?

Direct Answer: The ComfyUI node ComfyUI_kkTranslator_nodes 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.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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What Python packages are required for ComfyUI_kkTranslator_nodes?

Direct Answer: Running ComfyUI_kkTranslator_nodes requires installing the following Python package dependencies: hashlib, json, random, requests, torch, transformers==4.26.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
hashlib
json
random
requests
torch
transformers==4.26.1

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does ComfyUI_kkTranslator_nodes require?

ComfyUI_kkTranslator_nodes 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 ComfyUI_kkTranslator_nodes 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 PyTorch version does ComfyUI_kkTranslator_nodes need?

ComfyUI_kkTranslator_nodes requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI_kkTranslator_nodes?

To run ComfyUI_kkTranslator_nodes, you need to install: hashlib, json, random, requests, torch, transformers==4.26.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_kkTranslator_nodes?

ComfyUI_kkTranslator_nodes 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 ComfyUI_kkTranslator_nodes in ComfyUI?

To install ComfyUI_kkTranslator_nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/AIGCTeam/ComfyUI_kkTranslator_nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.