ghostai1/GHOSTSONAFB12GB

---
license: apache-2.0
tags:
  - music 🎵
  - text2music 🔊
  - audio-generation 🎶
pipeline_tag: text-to-audio
library_name: diffusers
language: [en, zh, de, fr, es, it, pt, pl, tr, ru, cs, nl, ar, ja, hu, ko, hi]
---

# PhantomStep: The Ultimate Music Generation Foundation Model 🎶

![PhantomStep Framework](https://huggingface.co/ghostai1/GHOSTSONA/raw/main/fig/PhantomStep_framework.png)

## 🎵 Model Description

**PhantomStep**, crafted by *GhostAI*, is the pinnacle of open-source music generation. Building on the foundation of ACE-Step, **PhantomStep** redefines excellence with:
- A reengineered **diffusion-based architecture**  
- GhostAI's proprietary **Spectral Compression AutoEncoder (SCAE)**  
- An optimized **transformer backbone**  

Our model delivers **unparalleled generation speed**, **musical coherence**, and **creative control**, leaving competitors in the dust. 💥

## 🌟 Key Features
- 🚀 **20× faster** than LLM-based baselines (15 s for 4 min tracks on A100)  
- 🎼 Flawless coherence in melody, harmony, and rhythm  
- ⏱️ Full-song generation with precise duration control  
- 🌐 Multilingual text-to-music with enhanced vocal synthesis  
- 🔜 Upcoming: Fine-grained style control and genre-specific optimizations  

## 🎹 Uses

### Direct Use
- ✨ Craft original music from natural language prompts  
- 🎛️ Remix tracks with seamless style transfers  
- ✍️ Edit lyrics and vocals with precision  

### Downstream Use
Foundation for innovation:
- 🎤 Advanced voice cloning  
- 🎧 Genre-specific music generators (e.g., trap, classical, K-pop)  
- 🎹 Professional music production suites  
- 🤖 AI-driven creative assistants  

### 🚫 Out-of-Scope Use
PhantomStep must **not** be used for:
- 🚫 Unauthorized reproduction of copyrighted material  
- ⚠️ Generating harmful or offensive content  
- 🕴️ Misrepresenting AI-generated works as human creations  

## 🛠️ How to Get Started 🏁
1. Clone or download the repo.  
2. Install dependencies via `pip install -r requirements.txt`.  
3. Download the weights:  
   ```bash
   mkdir -p models/musicgen-medium
   python -c "from audiocraft.models import MusicGen; MusicGen.get_pretrained('facebook/musicgen-medium')"