Extensions/ComfyUI_DiffRhythm_MW
ComfyUI Extension

ComfyUI_DiffRhythm_MW

Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation. A node for ComfyUI.

By billwuhao·Created about a year ago·Updated about a year ago· 153
billwuhao/ComfyUI_DiffRhythm
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Category🎤MW/MW-DiffRhythm
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Updatedabout a year ago
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DiffRhythm Nodes for ComfyUI

Fast and easy end-to-end full-length song generation.

📣 Updates

[2025-05-13]⚒️: Supports DiffRhythm v1.2, better quality, editable lyrics. Currently released a 95-second song model, full-length song release will be updated promptly. Note: The version code has been updated, and the generation quality of previous models may be affected. If you want to try the previous version, please revert to the version before v2.2.0.

[2025-04-26]⚒️: Changed to manually download the muq model.

[2025-03-16]⚒️: Released version v2.0.0. Supports full-length music generation, 4 minutes only takes 62 seconds.

Download the model and place it in the ComfyUI\models\TTS\DiffRhythm folder:

[2025-03-13]⚒️: Released version v1.0.0.

Usage

  • Text generated music:

  • Generate music based on reference audio:

  • Edit music:

  • Automatically generate song and add bilingual lyrics subtitles:

https://github.com/user-attachments/assets/26b5c66d-6ce5-4bf9-9294-4658176b2a66

Installation

cd ComfyUI/custom_nodes
git clone https://github.com/billwuhao/ComfyUI_DiffRhythm.git
cd ComfyUI_DiffRhythm
pip install -r requirements.txt

# python_embeded
./python_embeded/python.exe -m pip install -r requirements.txt

Model Download

The model needs to be manually downloaded to the ComfyUI\models\TTS\DiffRhythm folder.

The structure is as follows:

.
|  cfm_model_v1_2.pt
│  cfm_full_model.pt
│  cfm_model.pt
│  config.json
│  vae_model.pt
|
├─eval-model
│      eval.yaml
│      eval.safetensors
│
├─MuQ-large-msd-iter
│      config.json
│      model.safetensors
│
├─MuQ-MuLan-large
│      config.json
│      pytorch_model.bin
│
└─xlm-roberta-base
        config.json
        model.safetensors
        sentencepiece.bpe.model
        tokenizer.json
        tokenizer_config.json

Manual download links:

  • https://huggingface.co/ASLP-lab/DiffRhythm-1_2/blob/main/cfm_model.pt → cfm_model_v1_2.pt
  • https://huggingface.co/spaces/ASLP-lab/DiffRhythm/tree/main/pretrained
  • https://huggingface.co/ASLP-lab/DiffRhythm-full/tree/main
  • https://huggingface.co/ASLP-lab/DiffRhythm-base/blob/main/cfm_model.pt
  • https://huggingface.co/ASLP-lab/DiffRhythm-vae/blob/main/vae_model.pt
  • https://huggingface.co/OpenMuQ/MuQ-MuLan-large/tree/main
  • https://huggingface.co/OpenMuQ/MuQ-large-msd-iter/tree/main → .safetensors: (https://huggingface.co/OpenMuQ/MuQ-large-msd-iter/blob/refs%2Fpr%2F1/model.safetensors)
  • https://huggingface.co/FacebookAI/xlm-roberta-base/tree/main

Environment Configuration

For Windows systems, configure as follows:

Download and install the latest version of espeak-ng

Add the system environment variable PHONEMIZER_ESPEAK_LIBRARY, the value is the path to the libespeak-ng.dll file in your espeak-ng installation, for example: C:\Program Files\eSpeak NG\libespeak-ng.dll.

For Linux systems, you need to install the espeak-ng package. Execute the following command to install:

apt-get -qq -y install espeak-ng

Mac is supported, but untested.

Enjoy the music🎶

Acknowledgements

DiffRhythm

Thanks to the DiffRhythm team for their excellent work👍.