Música com IA
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Separate vocals and instruments in the browser with Demucs.
★ 397 estrelasMIT
Ver o guia →ComfyUI-MelBandRoFormer é um projeto de música com IA de código aberto de kijai (kijai/ComfyUI-MelBandRoFormer no GitHub). Tem 257 estrelas no GitHub e 32 forks, é publicado sob a licença Custom e foi atualizado pela última vez no GitHub em 30 de janeiro de 2026.
Mel-Band RoFormer source separation for ComfyUI.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Runs on CPU, CUDA, ROCm, Metal, or Vulkan.
Compose and edit with MIDI workflows.
Faithful ports of published models.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Describe a track and get audio back.
Download the source and move into the project folder.
git clone https://github.com/kijai/ComfyUI-MelBandRoFormer.git
cd ComfyUI-MelBandRoFormerCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at kijai/ComfyUI-MelBandRoFormer with 32 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
The project uses a custom license — read the LICENSE file in the repo before commercial use.
Typically 44.1–48kHz stereo — good enough for demos and remixes.
Separation and generation run much faster on GPU, but CPU works for short tracks.
Check the model's license — the code license and model weights may differ.
Separate vocals and instruments in the browser with Demucs.
A resource-efficient music source separation model in PyTorch.
Loss functions for training audio source separation models.
A working implementation of Band Split Roformer
ComfyUI nodes for multilingual AI songs with lyrics via HeartMuLa.
A WebUI app for Music-Source-Separation-Training and we bundled UVR together!
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.