ComfyUI ElevenLabs API integration

By aoliaoView on GitHub →

This project integrates the ElevenLabs Text-to-Speech API as a custom node for ComfyUI. It enables seamless text-to-speech conversion directly within ComfyUI, providing the generated audio as a PyTorch tensor for immediate playback or further processing. Ideal for workflows requiring high-quality speech synthesis

How much VRAM does ComfyUI ElevenLabs API integration require?

Direct Answer: The ComfyUI node ComfyUI ElevenLabs API integration 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!

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What Python packages are required for ComfyUI ElevenLabs API integration?

Direct Answer: Running ComfyUI ElevenLabs API integration requires installing the following Python package dependencies: elevenlabs~=2.4.0, soundfile~=0.13.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
elevenlabs~=2.4.0
soundfile~=0.13.1

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:

ACE-Step-ComfyUI
by ace-step1.5GB VRAM
ComfyUI-API-DockerCPU
by trustypangolin128MB VRAM
ComfyUI-AudioLDM
by sanbuphy1.5GB VRAM
ComfyUI-AudioReactive
by dmarx1.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI ElevenLabs API integration require?

ComfyUI ElevenLabs API integration 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 ElevenLabs API integration 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 ElevenLabs API integration?

To run ComfyUI ElevenLabs API integration, you need to install: elevenlabs~=2.4.0, soundfile~=0.13.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI ElevenLabs API integration?

ComfyUI ElevenLabs API integration 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 ElevenLabs API integration in ComfyUI?

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