IF_AI_WishperSpeechNode
This repository hosts a Text-to-Speech (TTS) application that leverages Whisper Speech for voice synthesis, allowing users to train a voice model on-the-fly. It is built on ComfyUI and supports rapid training and inference processes.
Quick Technical Summary: IF_AI_WishperSpeechNode
- Base VRAM Footprint:
- 256 MB (4 GB Tier)
- Primary Dependencies:
- huggingface_hub, librosa, nltk, requests, scipy, webdataset, whisperspeech
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does IF_AI_WishperSpeechNode require?
Direct Answer: The ComfyUI node IF_AI_WishperSpeechNode 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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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 IF_AI_WishperSpeechNode:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
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What Python packages are required for IF_AI_WishperSpeechNode?
Direct Answer: Running IF_AI_WishperSpeechNode requires installing the following Python package dependencies: huggingface_hub, librosa, nltk, requests, scipy, webdataset, whisperspeech. Ensure your ComfyUI environment has these packages active before launching.
huggingface_hub
librosa
nltk
requests
scipy
webdataset
whisperspeechInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does IF_AI_WishperSpeechNode require?
IF_AI_WishperSpeechNode 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 IF_AI_WishperSpeechNode 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
How much VRAM does IF_AI_WishperSpeechNode take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), IF_AI_WishperSpeechNode runs smoothly on an RTX 3060 (12GB) with 10.6GB 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 21.4GB 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 Python packages are required for IF_AI_WishperSpeechNode?
To run IF_AI_WishperSpeechNode, you need to install: huggingface_hub, librosa, nltk, requests, scipy, webdataset, whisperspeech. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running IF_AI_WishperSpeechNode?
IF_AI_WishperSpeechNode 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 IF_AI_WishperSpeechNode in ComfyUI?
To install IF_AI_WishperSpeechNode: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/if-ai/ComfyUI-IF_AI_WishperSpeechNode, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.