ComfyUI F5-TTS
Text to speech with F5-TTS
How much VRAM does ComfyUI F5-TTS require?
Direct Answer: The ComfyUI node ComfyUI F5-TTS 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
Interactive VRAM Compatibility Estimator
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 F5-TTS?
Direct Answer: Running ComfyUI F5-TTS requires installing the following Python package dependencies: accelerate>=0.33.0, audiostretchy, bitsandbytes>0.37.0, cached_path, click, datasets, ema_pytorch>=0.5.2, gradio, librosa, matplotlib, numpy, omegaconf, pydub, pygit2, pypinyin, rjieba, safetensors, soundfile, tomli, torch-time-stretch, torchcodec, torchdiffeq, tqdm>=4.65.0, transformers, vocos, wandb, x_transformers>=1.31.14. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.33.0
audiostretchy
bitsandbytes>0.37.0
cached_path
click
datasets
ema_pytorch>=0.5.2
gradio
librosa
matplotlib
numpy
omegaconf
pydub
pygit2
pypinyin
rjieba
safetensors
soundfile
tomli
torch-time-stretch
torchcodec
torchdiffeq
tqdm>=4.65.0
transformers
vocos
wandb
x_transformers>=1.31.14Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI F5-TTS require?
ComfyUI F5-TTS 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 F5-TTS 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 F5-TTS need?
ComfyUI F5-TTS requires the following PyTorch-related packages: ema_pytorch>=0.5.2, torch-time-stretch, torchcodec, torchdiffeq. 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 F5-TTS?
To run ComfyUI F5-TTS, you need to install: accelerate>=0.33.0, audiostretchy, bitsandbytes>0.37.0, cached_path, click, datasets, ema_pytorch>=0.5.2, gradio, librosa, matplotlib, numpy, omegaconf, pydub, pygit2, pypinyin, rjieba, safetensors, soundfile, tomli, torch-time-stretch, torchcodec, torchdiffeq, tqdm>=4.65.0, transformers, vocos, wandb, x_transformers>=1.31.14. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI F5-TTS?
ComfyUI F5-TTS 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 F5-TTS in ComfyUI?
To install ComfyUI F5-TTS: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/niknah/ComfyUI-F5-TTS, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.