KI-Musik
DiffRhythm
DiffRhythm — blazingly fast, embarrassingly simple full-length song generation with latent diffusion: complete songs with vocals from lyrics and a style prompt, Apache-2.0
★ 2,4 Tsd. SterneApache-2.0
Anleitung ansehen →ACE-Step ist ein Open-Source-Projekt aus der Kategorie KI-Musik von ace-step (ace-step/ACE-Step auf GitHub). Es hat 4.958 Sterne auf GitHub und 643 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 15. Februar 2026 auf GitHub aktualisiert.
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
Per the README installation section: clone the repo, create the environment it describes, and pip install -e . (Windows users also pip install triton-windows).
Start the app with the acestep command — the README-recommended consumer options are acestep --torch_compile true --cpu_offload true --overlapped_decode true — or use the Gradio UI.
Describe the style (tags, descriptive text or a use-case scenario), add lyrics if you want vocals, and generate — up to 4-minute tracks, then refine with repaint, variations or lyric editing.
Diffusion + DCAE + linear transformer design: ~4 minutes of music in ~20 seconds on an A100, without the structural drift of slower LLM-style generators.
Sung vocals with lyric alignment in 19 languages, plus dedicated lyric2vocal and singing2accompaniment tasks.
Voice cloning, lyric editing, remixing, repainting and variation generation are built into the model design, not bolted on.
Optimisations brought max VRAM to ~8GB with CPU offload; a ComfyUI node and Gradio UI cover different workflows.
The README installation route.
git clone https://github.com/ace-step/ACE-Step.git
cd ACE-Step
pip install -e .The README alternative (needs Git on your PATH; use a virtualenv).
pip install git+https://github.com/ace-step/ACE-Step.gitThe launch options the project recommends for memory-friendly speed.
acestep --torch_compile true --cpu_offload true --overlapped_decode trueAlso on this shelf: demixr-app — mobile app that splits songs into stems with on-device deep learning.
The ACE-Step project (ace-step on GitHub), with StepFun among the organisations behind it; the technical report is arXiv 2506.00045.
Yes — Apache-2.0 licensed. As with all music models, check the terms of any training data or voices you bring to it before commercial release.
This is the foundation model and engine itself. ace-step-ui and ACE-Step Studio are interfaces built on top of it — LibreAI listed those first; this entry is the missing engine underneath them.
Against DiffRhythm (also added this week), ACE-Step emphasises speed, lyric alignment and editing controls (repaint, lyric edit, cloning) as a foundation model; DiffRhythm emphasises dead-simple full-song latent diffusion. Against Suno, ACE-Step is the open, self-hosted, Apache-2.0 option you can fine-tune with LoRAs.
Clone, pip install -e ., then run acestep with the README consumer launch options and generate your first track in the UI.
DiffRhythm — blazingly fast, embarrassingly simple full-length song generation with latent diffusion: complete songs with vocals from lyrics and a style prompt, Apache-2.0
Portable AI music generator — full songs with vocals, covers, music videos. One-click install, 100% offline, NVIDIA GPU.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
Local AI song generator with an editable score — YuE2 on your GPU: full songs with vocals, sheet music, covers, exact replay. Native Windows app, no Python, …
Run the ACE-Step 1.5 music generator locally in C++.
Local AI music studio: ACE-Step plus YuE2, stems, MIDI, and a built-in DAW.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ACE-Step 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!
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
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
Verwandte Projekte der Kategorie KI-Musik im Katalog, die ACE-Step bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Compose multi-track MIDI with Gemini and DeepSeek.
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.