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Zeroxdesignart/music-generator
music-generator is a machine learning model from Zeroxdesignart. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A focused, local music-generation studio built on the official ACE-Step 1.5 Diffusers pipeline.
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Updated Aug 12, 2026
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From the Hugging Face model README
A focused, local music-generation studio built on the official ACE-Step 1.5 Diffusers pipeline.
| Hardware | Recommended path |
|---|---|
| NVIDIA GPU with 20 GB+ VRAM | XL Turbo/SFT without low-memory mode |
| NVIDIA GPU with about 12–20 GB VRAM | XL Turbo with low-memory mode |
| 4–8 GB VRAM | Use the upstream ACE-Step app with its 2B Turbo model |
| CPU or Apple Silicon | The app can load, but generation may be slow; upstream ACE-Step has optimized platform paths |
The first launch downloads several gigabytes of model weights. Keep at least 20 GB of free disk space for experimentation with multiple XL models.
start_windows.bat.http://127.0.0.1:7860 if it does not open automatically.For the best NVIDIA performance, install the PyTorch build matching your installed GPU driver from the official PyTorch installer before starting the app.
chmod +x start_unix.sh
./start_unix.sh
python -m venv .venv
# Windows: .venv\Scripts\activate
# Linux/macOS: source .venv/bin/activate
python -m pip install --upgrade pip
pip install -r requirements.txt
python app.py
Describe the complete sound, not only a genre. A strong prompt names the mood, tempo, instruments, vocal style, arrangement, and production character:
Cinematic deathcore fused with dark trap, Drop F guitars, 145 BPM, tense verses, huge half-time breakdown, industrial sub-bass, close male harsh vocals, wide modern master.
Structure lyrics with tags such as [intro], [verse], [pre-chorus], [chorus], [bridge], and [outro]. Reuse a seed when you want to recreate the same underlying generation.
Choose a formula, click Load formula, and write inside the empty sections. Click Check lyrics before generating. The checker looks for a clear section order, a repeatable chorus, very long or short English lines, and the approximate 2,048-token ceiling. Its syllable count is a writing aid, not a perfect linguistic measurement.
ACE-Step's official guidance recommends roughly 6–10 syllables per line, concise combined tags such as [Chorus - anthemic], parentheses for background vocals, and blank lines between sections. Keep complex production details in the Music direction field so the model does not mistake them for words to sing.
1.0.The ACE-Step model is published under MIT terms and its authors describe the training corpus as licensed, royalty-free/public-domain, and synthetic. That does not guarantee that every generated result is unique or clear of third-party rights. Before a commercial release, check the output for recognizable melodies, lyrics, voices, trademarks, and samples. Only upload source audio you own or are authorized to transform.
This project is an independent interface and is not an official ACE-Step product.