ace-step-ui  by fspecii

AI music generation app with a professional, local UI

Created 6 months ago
4,400 stars

Top 11.0% on SourcePulse

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Project Summary

Summary

ACE-Step UI provides a professional, free, and locally-run interface for the ACE-Step 1.5 AI music generation model, serving as an alternative to paid services like Suno. It targets musicians and creators seeking cost-effective, private, and unlimited AI music production capabilities.

How It Works

This project acts as a feature-rich frontend for the ACE-Step 1.5 AI music generation model, enabling local, GPU-accelerated music creation. It processes prompts, lyrics, and style parameters through ACE-Step 1.5 to generate full songs (up to 4+ minutes with vocals) or instrumentals. The architecture prioritizes local execution for enhanced privacy, ownership, and unlimited generation, contrasting with cloud-based subscription models.

Quick Start & Requirements

Installation is simplified via Pinokio (1-click) or platform-specific scripts (start-all.bat for Windows, ./start-all.sh for Linux/macOS). Manual setup requires Node.js (18+), Python (3.10+), and cloning repositories. Essential hardware includes an NVIDIA GPU with 4GB+ VRAM (12GB+ recommended for LLM features) and CUDA 12.8 for the Windows Portable Package. FFmpeg is required for audio processing. The ACE-Step 1.5 model download is ~5GB.

Highlighted Details

  • Full Song Generation: Creates complete tracks with vocals and lyrics up to 4+ minutes.
  • Advanced Control: Supports reference audio, audio repainting, seed control, and fine-tuning of BPM, key, and duration.
  • Professional UI: A Spotify-inspired interface offers dark/light modes, library management, playlists, and local network (LAN) access.
  • Integrated Tools: Bundles an Audio Editor, Stem Extraction, and a Video Generator.

Maintenance & Community

The project encourages community contributions via GitHub issues, pull requests, and feature suggestions, indicating active development. Specific community channels are not detailed.

Licensing & Compatibility

Distributed under the permissive MIT License, allowing for commercial use and integration within closed-source projects.

Limitations & Caveats

Advanced "Thinking Mode" features require 12GB+ VRAM; functionality is limited on GPUs with less VRAM (4GB users must use specific settings like PT backend and batch size 1). FFmpeg installation is a prerequisite for audio processing.

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1 month ago

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Inactive

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