Música con IA
instruct-MusicGen
Research code for instruction-based text-to-music editing of music models.
★ 111 estrellasApache-2.0
Ver la guía →HS-TasNet es un proyecto de música con IA de código abierto de lucidrains (lucidrains/HS-TasNet en GitHub). Tiene 112 estrellas en GitHub y 15 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 25 de agosto de 2026.
Real-time, low-latency music source separation in PyTorch.
Get the implementation.
Set up the training environment.
Get separated-track training data.
Run separation on your mixes.
Splits mixes into stems.
Low-latency architecture.
Hybrid Spectrogram-TasNet in code.
Standard deep-learning stack.
Tuned for musical sources.
Free for research and products.
Download the source and enter the folder.
git clone https://github.com/lucidrains/HS-TasNet.git
cd HS-TasNetSet up the Python environment.
pip install -r requirements.txtFollow the README training/inference commands.
# see README for the exact training commandA PyTorch implementation of real-time music source separation, at lucidrains/HS-TasNet.
Splitting a mixed track into vocals, drums, bass, and so on.
The architecture targets low latency; actual speed depends on hardware.
Yes. MIT licensed.
Yes. Separated stems are needed to train; see the README.
Research code for instruction-based text-to-music editing of music models.
Run the MiniMax Music 3 generator locally in C++.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Run stemgen-rt locally: stemgenrt is a real-time low-latency music source separ.
A resource-efficient music source separation model in PyTorch.
A WebUI app for Music-Source-Separation-Training and we bundled UVR together!
Los demás proyectos de Música con IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si HS-TasNet no es lo que buscas.
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
Proyectos de Música con IA cercanos en el catálogo, los más próximos en estrellas a HS-TasNet: sigue explorando a ambos lados.
A retro pixel DJ for Claude Code / Codex CLI / Terminal with Apple Music / QQ Music
Research code for instruction-based text-to-music editing of music models.
Automatic AI video editing.
Agent skill that produces beat-synced 1080p motion-graphic videos in HyperFrames.
ComfyUI nodes for multilingual AI songs with lyrics via HeartMuLa.
One-click AIGC pipeline: image, video, music, and prompts in a single flow.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.