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ace-step

ace-step/ACE-Step-1.5

Open-source music generation model that runs locally, creating full songs from text prompts with editing, cover, and LoRA training features.

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¿Qué es?

ACE-Step 1.5 is an open-source music foundation model that generates full songs from text descriptions and lyrics. It pairs a language model that plans song structure, lyrics, and metadata with a Diffusion Transformer that renders the audio, and it runs on local hardware rather than a hosted service.

Beyond text-to-music generation, the project covers cover generation from existing audio, selective repainting of sections, vocal-to-accompaniment conversion, track separation, lyric timestamp (LRC) output, and audio analysis for BPM, key, and time signature. Users can train LoRA adapters on a small set of their own songs through a Gradio interface. Duration ranges from 10 seconds to 10 minutes, with batch generation of up to 8 songs at once.

The project provides a Gradio web UI, a REST API server, a Python API, and a CLI. It supports CUDA, Apple MPS, AMD ROCm, Intel XPU, and CPU, and offers several model sizes so it can run on GPUs with different amounts of VRAM.

Funciones clave

  • 01Generates full songs up to 10 minutes from text prompts and lyrics.
  • 02Supports cover generation, section repainting, and vocal-to-accompaniment conversion.
  • 03Trains LoRA adapters on a small set of user songs via the Gradio UI.
  • 04Outputs LRC lyric timestamps and analyzes BPM, key, and time signature.
  • 05Runs on CUDA, Apple MPS, AMD ROCm, Intel XPU, and CPU.

Casos de uso

  • Producing demo tracks or background music from text descriptions on a local machine.
  • Creating covers or reworking sections of existing audio clips.
  • Training a personal style LoRA from a few of your own songs.
  • Integrating music generation into an app through the REST API or Python API.

Temas

#music-generation#text-to-music#diffusion#lora#audio#python#gradio#text2music

Preguntas frecuentes

¿Qué es ACE-Step-1.5?
Open-source music generation model that runs locally, creating full songs from text prompts with editing, cover, and LoRA training features. ACE-Step 1.5 is an open-source music foundation model that generates full songs from text descriptions and lyrics. It pairs a language model that plans song structure, lyrics, and metadata with a Diffusion Transformer that renders the audio, and it runs on local hardware rather than a hosted service.
¿ACE-Step-1.5 es gratuito? ¿Qué licencia tiene?
ACE-Step-1.5 es open source bajo la licencia MIT. Revisa los términos de la licencia antes de usarlo en productos comerciales.
¿ACE-Step-1.5 sigue mantenido?
Mantenimiento activo. El último commit de ACE-Step-1.5 fue el 11 oct 2026.
¿Para qué puedo usar ACE-Step-1.5?
Producing demo tracks or background music from text descriptions on a local machine. Creating covers or reworking sections of existing audio clips. Training a personal style LoRA from a few of your own songs. Integrating music generation into an app through the REST API or Python API.
¿Dónde consigo ACE-Step-1.5?
El código fuente y las instrucciones de instalación están en GitHub: https://github.com/ace-step/ACE-Step-1.5

Resumen generado por IA a partir del README del proyecto. Las estadísticas de GitHub se actualizan a diario.

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