moseca
Separate vocals and instruments in the browser with Demucs.
ComfyUI-MelBandRoFormerは、kijaiが公開しているオープンソースのAI音楽プロジェクトです(GitHub: kijai/ComfyUI-MelBandRoFormer)。GitHubスターは257、フォークは32で、Customライセンスの下で公開されています。GitHubでの最終更新は2026年1月30日です。
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.
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Loss functions for training audio source separation models.
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LibreAIカタログに掲載されたAI音楽プロジェクトの中で最もスターの多いもの — ComfyUI-MelBandRoFormerが合わなかった場合に検討したい、現実的な候補リストです。
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Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
カタログの中でComfyUI-MelBandRoFormerとスター数が近いAI音楽プロジェクト — 前後の棚もそのまま見て回れます。
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