FL FishSpeech

By filliptmView on GitHub →

FL FishSpeech - AI Text-to-Speech & Voice Cloning for ComfyUI. High-quality 44.1kHz speech synthesis with zero-shot voice cloning using OpenAudio S1-mini (Fish Audio). Features DualAR Transformer, DAC codec, emotion control tags, and built-in Whisper transcription.

How much VRAM does FL FishSpeech require?

Direct Answer: The ComfyUI node FL FishSpeech requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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What Python packages are required for FL FishSpeech?

Direct Answer: Running FL FishSpeech requires installing the following Python package dependencies: einops, huggingface_hub, hydra-core, lightning, loguru, loralib, natsort, pytorch_lightning, safetensors, tiktoken, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
einops
huggingface_hub
hydra-core
lightning
loguru
loralib
natsort
pytorch_lightning
safetensors
tiktoken
torchaudio

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:

ComfyUI_FL-SongGen
by filliptm128MB VRAM
ComfyUI_Fill-ChatterBox
by filliptm128MB VRAM
FL Voxtral TTS
by filliptm128MB VRAM
Audio Separation (Demix)
by set-soft1.5GB VRAM
AudioDriven-Latent-Space-Tools-for-ComfyUI
by Kayarte1.5GB VRAM

Frequently Asked Questions

How much VRAM does FL FishSpeech require?

FL FishSpeech requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does FL FishSpeech need?

FL FishSpeech requires the following PyTorch-related packages: pytorch_lightning, torchaudio. 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 FL FishSpeech?

To run FL FishSpeech, you need to install: einops, huggingface_hub, hydra-core, lightning, loguru, loralib, natsort, pytorch_lightning, safetensors, tiktoken, torchaudio. You can install these using pip or add them to your requirements.txt file.

How do I install FL FishSpeech in ComfyUI?

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