ComfyUI-EdgeTTS
ComfyUI-EdgeTTS is a powerful text-to-speech node for ComfyUI, leveraging Microsoft's Edge TTS capabilities. It enables seamless conversion of text into natural-sounding speech, supporting multiple languages and voices. Ideal for enhancing user interactions, this node is easy to integrate and customize, making it perfect for various applications.
Quick Technical Summary: ComfyUI-EdgeTTS
- Base VRAM Footprint:
- 1536 MB (6 GB Tier)
- Primary Dependencies:
- deep-translator>=1.11.4, edge-tts>=7.0.0, googletrans-py>=3.0.0, numpy, openai-whisper>=20231117, torch, torchaudio, torchcodec==0.9
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/1038lab/ComfyUI-EdgeTTS
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ComfyUI-EdgeTTS require?
Direct Answer: The ComfyUI node ComfyUI-EdgeTTS 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.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUI-EdgeTTS:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
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What Python packages are required for ComfyUI-EdgeTTS?
Direct Answer: Running ComfyUI-EdgeTTS requires installing the following Python package dependencies: deep-translator>=1.11.4, edge-tts>=7.0.0, googletrans-py>=3.0.0, numpy, openai-whisper>=20231117, torch, torchaudio, torchcodec==0.9. Ensure your ComfyUI environment has these packages active before launching.
deep-translator>=1.11.4
edge-tts>=7.0.0
googletrans-py>=3.0.0
numpy
openai-whisper>=20231117
torch
torchaudio
torchcodec==0.9Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-EdgeTTS require?
ComfyUI-EdgeTTS 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-EdgeTTS 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
How much VRAM does ComfyUI-EdgeTTS take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUI-EdgeTTS runs smoothly on an RTX 3060 (12GB) with 9.3GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 20.1GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What PyTorch version does ComfyUI-EdgeTTS need?
ComfyUI-EdgeTTS requires the following PyTorch-related packages: torch, torchaudio, torchcodec==0.9. 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-EdgeTTS?
To run ComfyUI-EdgeTTS, you need to install: deep-translator>=1.11.4, edge-tts>=7.0.0, googletrans-py>=3.0.0, numpy, openai-whisper>=20231117, torch, torchaudio, torchcodec==0.9. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-EdgeTTS?
ComfyUI-EdgeTTS 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-EdgeTTS in ComfyUI?
To install ComfyUI-EdgeTTS: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/1038lab/ComfyUI-EdgeTTS, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.