ComfyUI InspireMusic Plugin

By vanche1212View on GitHub →

InspireMusic ComfyUI Plugin – ComfyUI Integration Plugin for AI Music Generation A ComfyUI node plugin based on Alibaba’s InspireMusic model, supporting text-to-music generation and music continuation features.

How much VRAM does ComfyUI InspireMusic Plugin require?

Direct Answer: The ComfyUI node ComfyUI InspireMusic Plugin 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 InspireMusic Plugin?

Direct Answer: Running ComfyUI InspireMusic Plugin requires installing the following Python package dependencies: accelerate, accelerate, antlr4-python3-runtime, conformer, deepspeed, diffusers, einops, fastapi, fastapi-cli, flash-attn==2.7.4.post1, gdown, gradio, grpcio, grpcio-tools, huggingface-hub, hydra-core==1.3.2, hyperpyyaml, inflect, librosa, lightning, matcha-tts, matplotlib, modelscope, networkx, omegaconf==2.3.0, onnx, onnxruntime, onnxruntime-gpu, peft==0.13.2, protobuf, pyarrow, pydantic, pystoi, pystoi, rich, scipy, soundfile, tensorboard, torch, torchaudio, tqdm, transformers==4.46.3, uvicorn, wetextprocessing, wget. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
accelerate
antlr4-python3-runtime
conformer
deepspeed
diffusers
einops
fastapi
fastapi-cli
flash-attn==2.7.4.post1
gdown
gradio
grpcio
grpcio-tools
huggingface-hub
hydra-core==1.3.2
hyperpyyaml
inflect
librosa
lightning
matcha-tts
matplotlib
modelscope
networkx
omegaconf==2.3.0
onnx
onnxruntime
onnxruntime-gpu
peft==0.13.2
protobuf
pyarrow
pydantic
pystoi
pystoi
rich
scipy
soundfile
tensorboard
torch
torchaudio
tqdm
transformers==4.46.3
uvicorn
wetextprocessing
wget

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:

Audio Separation (Demix)
by set-soft1.5GB VRAM
AudioDriven-Latent-Space-Tools-for-ComfyUI
by Kayarte1.5GB VRAM
Boyonodes
by DragonDiffusionbyBoyo256MB VRAM
Canary-ComfyUI
by Juste-Leo21.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI InspireMusic Plugin require?

ComfyUI InspireMusic Plugin 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 InspireMusic Plugin 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 PyTorch version does ComfyUI InspireMusic Plugin need?

ComfyUI InspireMusic Plugin requires the following PyTorch-related packages: torch, 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 ComfyUI InspireMusic Plugin?

To run ComfyUI InspireMusic Plugin, you need to install: accelerate, accelerate, antlr4-python3-runtime, conformer, deepspeed, diffusers, einops, fastapi, fastapi-cli, flash-attn==2.7.4.post1, gdown, gradio, grpcio, grpcio-tools, huggingface-hub, hydra-core==1.3.2, hyperpyyaml, inflect, librosa, lightning, matcha-tts, matplotlib, modelscope, networkx, omegaconf==2.3.0, onnx, onnxruntime, onnxruntime-gpu, peft==0.13.2, protobuf, pyarrow, pydantic, pystoi, pystoi, rich, scipy, soundfile, tensorboard, torch, torchaudio, tqdm, transformers==4.46.3, uvicorn, wetextprocessing, wget. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI InspireMusic Plugin?

ComfyUI InspireMusic Plugin 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 InspireMusic Plugin in ComfyUI?

To install ComfyUI InspireMusic Plugin: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/vanche1212/ComfyUI-InspireMusic, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.