Музыка с ИИ
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 звёздMIT
Смотреть руководство →Contextual-Music-Crafter — проект с открытым исходным кодом из категории «Музыка с ИИ» от Edfred1 (Edfred1/Contextual-Music-Crafter на GitHub). У него 30 звёзд на GitHub и 7 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 22 февраля 2026.
Compose multi-track MIDI with Gemini and DeepSeek.
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.
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.
Generate music without cloud APIs.
Download the source and move into the project folder.
git clone https://github.com/Edfred1/Contextual-Music-Crafter.git
cd Contextual-Music-CrafterCreate 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 Edfred1/Contextual-Music-Crafter with 7 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.
A curated MIDI dataset built for training precise music AI models.
Local AI music studio: ACE-Step plus YuE2, stems, MIDI, and a built-in DAW.
AI based tool to convert vocals lyrics and pitch from music to autogenerate Ultrastar Deluxe, Midi and notes. It automatic tapping, adding text, pitch vocals…
Другие проекты из категории «Музыка с ИИ» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Contextual-Music-Crafter вам не подходит.
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
Соседние проекты из категории «Музыка с ИИ» в каталоге, ближайшие по числу звёзд к Contextual-Music-Crafter — продолжайте изучать полку по обе стороны от него.
Run the YuE2 music generator locally in C++.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
A desktop karaoke app that transforms your local music library into sing-along tracks
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
Agent skill that turns text descriptions into real MIDI compositions.
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
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.