comfyui_audio_translator

By pmarmotte2View on GitHub →

ComfyUI node for audio translation with speaker diarization, transcription, and optional dubbed audio synthesis using DramaBox.

How much VRAM does comfyui_audio_translator require?

Direct Answer: The ComfyUI node comfyui_audio_translator requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

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!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for comfyui_audio_translator?

Direct Answer: Running comfyui_audio_translator requires installing the following Python package dependencies: imageio-ffmpeg, numpy, openai-whisper, pyannote.audio, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
imageio-ffmpeg
numpy
openai-whisper
pyannote.audio
transformers

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_audio_translator require?

comfyui_audio_translator requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run comfyui_audio_translator on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom

What Python packages are required for comfyui_audio_translator?

To run comfyui_audio_translator, you need to install: imageio-ffmpeg, numpy, openai-whisper, pyannote.audio, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui_audio_translator?

comfyui_audio_translator 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_audio_translator in ComfyUI?

To install comfyui_audio_translator: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/pmarmotte2/comfyui_audio_translator, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.