KI-Musik
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 SterneMIT
Anleitung ansehen →reaper-mcp ist ein Open-Source-Projekt aus der Kategorie KI-Musik von bonfire-systems (bonfire-systems/reaper-mcp auf GitHub). Es hat 147 Sterne auf GitHub und 32 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
Let AI agents mix and master tracks inside REAPER.
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.
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.
Generate music without cloud APIs.
Studio-grade sample rates and formats.
Download the source and move into the project folder.
git clone https://github.com/bonfire-systems/reaper-mcp.git
cd reaper-mcpCreate 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 bonfire-systems/reaper-mcp with 32 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
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.
AI-driven music production and post-production in REAPER via MCP.
Let AI assistants edit audio in Audacity via 144 MCP tools.
Open-source AI music SaaS: full tracks with cover art from a text prompt.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls reaper-mcp nicht das Richtige ist.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Verwandte Projekte der Kategorie KI-Musik im Katalog, die reaper-mcp bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Dial-driven local music generator — GGML-powered bangers, now with more C++.
Local AI music studio: ACE-Step plus YuE2, stems, MIDI, and a built-in DAW.
反中共政治宣传库。Anti Chinese government propaganda. https://github.com/cirosantilli/china-dictatorship 的备份backup. 住在中国真名用户的网友请别给星星，不然你要被警察请喝茶。常见问答集，新闻集和饭店和音乐建议。习万岁…
ComfyUI nodes for multilingual AI songs with lyrics via HeartMuLa.
Text-to-speech for Home Assistant from OpenAI, Mistral, Groq, Lemonfox, Kokoro, Chatterbox or any server that implements the OpenAI speech API, with announce…
Automatic AI video editing.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.