ComfyUI-FishSpeech

a custom comfyui node for [a/fish-speech](https://github.com/fishaudio/fish-speech.git)

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-FishSpeech 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-FishSpeech requires installing the following Python package dependencies: audiotsm, datasets>=2.14.5, einops>=0.7.0, einx==0.2.2, grpcio>=1.58.0, hydra-core>=1.3.2, kui>=1.6.0, librosa>=0.10.1, lightning>=2.1.0, loguru>=0.6.0, loralib>=0.1.2, natsort>=8.4.0, natsort>=8.4.0, pydub, pyrootutils>=1.0.4, resampy>=0.4.3, rich>=13.5.3, srt, tensorboard>=2.14.1, transformers>=4.35.2, vector_quantize_pytorch>=1.14.7, wandb>=0.15.11, zibai-server>=0.9.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
audiotsm
datasets>=2.14.5
einops>=0.7.0
einx==0.2.2
grpcio>=1.58.0
hydra-core>=1.3.2
kui>=1.6.0
librosa>=0.10.1
lightning>=2.1.0
loguru>=0.6.0
loralib>=0.1.2
natsort>=8.4.0
natsort>=8.4.0
pydub
pyrootutils>=1.0.4
resampy>=0.4.3
rich>=13.5.3
srt
tensorboard>=2.14.1
transformers>=4.35.2
vector_quantize_pytorch>=1.14.7
wandb>=0.15.11
zibai-server>=0.9.0

🛠️ Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...