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  license: apache-2.0 tags:
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- music
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- text2music
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- audio-generation pipeline_tag: text-to-audio language:
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- en
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- zh
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- de
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- fr
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- es
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- pt
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- pl
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- tr
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- ru
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- cs
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- nl
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- ko
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- hi library_name: diffusers
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- PhantomStep: The Ultimate Music Generation Foundation Model
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- Model Description
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- PhantomStep, forged 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), and an optimized transformer backbone. Our model delivers unparalleled generation speed, musical coherence, and creative control, leaving competitors in the dust.
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- Key Features:
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- 20× faster than LLM-based baselines (15s for 4-minute tracks on A100)
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- Flawless coherence in melody, harmony, and rhythm
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- Full-song generation with precise duration control
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- Multilingual text-to-music with enhanced vocal synthesis
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- Upcoming: Fine-grained style control and genre-specific optimizations
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- Uses
 
 
 
 
 
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- Direct Use
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  PhantomStep empowers creators to:
 
 
 
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- Craft original music from natural language prompts
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- Remix tracks with seamless style transfers
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- Edit lyrics and vocals with precision
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- Downstream Use
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  A foundation for innovation:
 
 
 
 
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- Advanced voice cloning
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- Genre-specific music generators (e.g., trap, classical, K-pop)
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- Professional music production suites
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- AI-driven creative assistants
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- Out-of-Scope Use
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- PhantomStep must not be used for:
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- Unauthorized reproduction of copyrighted material
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- Generating harmful or offensive content
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- Misrepresenting AI-generated works as human creations
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- How to Get Started
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  Dive into the code and demos:
 
 
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- GitHub Repository
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- Demo Space (Coming Soon)
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- Hardware Performance
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- Device
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- 27 Steps
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- 60 Steps
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- NVIDIA A100
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- 30.50x
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- 14.10x
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- RTX 4090
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- 38.20x
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- 17.85x
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- RTX 3090
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- 15.30x
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- 8.12x
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- M2 Max
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- 3.15x
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- 1.45x
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- RTF (Real-Time Factor) shown - higher values indicate faster generation
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- Optimizations in Progress
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  PhantomStep is actively addressing the following limitations:
 
 
 
 
 
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- Output Consistency: Reducing "gacha-style" variability with stabilized random seeds and adaptive sampling.
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- Genre Performance: Enhanced training for niche genres (e.g., Chinese rap, avant-garde jazz).
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- Vocal Quality: Refined vocal synthesis for natural, expressive outputs.
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- Long-Form Coherence: Improved structural integrity for tracks >5 minutes.
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- Control Granularity: Introducing precise controls for tempo, instrumentation, and dynamics.
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- Ethical Considerations
299
 
300
  GhostAI commits to responsible AI:
 
 
 
 
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304
 
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- Ensure originality of generated works
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- Disclose AI involvement in outputs
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- Respect cultural nuances and intellectual property
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- Prohibit harmful or unethical content generation
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- Model Details
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- Developed by: GhostAI
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- Model type: Diffusion-based music generation with transformer conditioning
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- License: Apache 2.0
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- Resources:
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- Project Page (Coming Soon)
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- GitHub Repository
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- Demo Space (Coming Soon)
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- Citation
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  @misc{ghostai2025phantomstep,
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  title={PhantomStep: The Ultimate Music Generation Foundation Model},
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  author={GhostAI Team},
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- howpublished={\url{https://github.com/GhostAI/PhantomStep}},
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  year={2025},
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- note={GitHub repository}
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- }
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- Acknowledgements
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- Built on the shoulders of ACE Studio and StepFun. GhostAI takes it to the next level.
 
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  ---
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  license: apache-2.0 tags:
5
 
6
+ ---
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+ license: apache-2.0
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+ tags:
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+ - music 🎵
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+ - text2music 🎤
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+ - audio-generation 🔊
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+ pipeline_tag: text-to-audio
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+ library_name: diffusers
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+ language: [en, zh, de, fr, es, it, pt, pl, tr, ru, cs, nl, ar, ja, hu, ko, hi]
15
+ ---
16
 
17
+ # PhantomStep: The Ultimate Music Generation Foundation Model 🚀
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+ ![PhantomStep Framework](https://huggingface.co/ghostai1/GHOSTSONA/raw/main/fig/PhantomStep_framework.png)
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+ ## 🎹 Model Description
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+ **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)**, and an optimized **transformer backbone**. Our model delivers **unparalleled generation speed**, **musical coherence**, and **creative control**, leaving competitors in the dust. 💨
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
24
 
25
+ **Key Features:**
26
+ - 🚄 **20× faster** than LLM-based baselines (15s for 4-minute tracks on A100)
27
+ - 🎶 Flawless coherence in melody, harmony, and rhythm
28
+ - 🎵 Full-song generation with precise duration control
29
+ - 🌍 Multilingual text-to-music with enhanced vocal synthesis
30
+ - 🔜 *Upcoming*: Fine-grained style control and genre-specific optimizations
31
 
32
+ ## 🎧 Uses
33
 
34
+ ### Direct Use
35
  PhantomStep empowers creators to:
36
+ - ✨ Craft original music from natural language prompts
37
+ - 🔄 Remix tracks with seamless style transfers
38
+ - ✍️ Edit lyrics and vocals with precision
39
 
40
+ ### Downstream Use
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41
  A foundation for innovation:
42
+ - 🎙️ Advanced voice cloning
43
+ - 🎸 Genre-specific music generators (e.g., trap, classical, K-pop)
44
+ - 🎛️ Professional music production suites
45
+ - 🤖 AI-driven creative assistants
46
 
47
+ ### Out-of-Scope Use
48
+ PhantomStep must **not** be used for:
49
+ - 🚫 Unauthorized reproduction of copyrighted material
50
+ - ⛔ Generating harmful or offensive content
51
+ - 🕵️‍♂️ Misrepresenting AI-generated works as human creations
52
 
53
+ ## 🚀 How to Get Started
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
  Dive into the code and demos:
56
+ - 📂 [Hugging Face Repository](https://huggingface.co/ghostai1/GHOSTSONA)
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+ - 🎮 [Demo Space](https://huggingface.co/spaces/ghostai1/GHOSTSONA) *(Coming Soon)*
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+ ## ⚡ Hardware Performance
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+ | Device | 27 Steps | 60 Steps |
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+ |---------------|----------|----------|
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+ | NVIDIA A100 | **30.50x** ⚡ | **14.10x** ⚡ |
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+ | RTX 4090 | **38.20x** 🚀 | **17.85x** 🚀 |
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+ | RTX 3090 | **15.30x** 🔥 | **8.12x** 🔥 |
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+ | M2 Max | **3.15x** 🌟 | **1.45x** 🌟 |
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+ *RTF (Real-Time Factor) shown - higher values indicate faster generation*
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+ ## 🛠️ Optimizations in Progress
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  PhantomStep is actively addressing the following limitations:
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+ - 🎯 **Output Consistency**: Reducing "gacha-style" variability with stabilized random seeds and adaptive sampling.
74
+ - 🎸 **Genre Performance**: Enhanced training for niche genres (e.g., Chinese rap, avant-garde jazz).
75
+ - 🎤 **Vocal Quality**: Refined vocal synthesis for natural, expressive outputs.
76
+ - 📏 **Long-Form Coherence**: Improved structural integrity for tracks >5 minutes.
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+ - 🎛️ **Control Granularity**: Introducing precise controls for tempo, instrumentation, and dynamics.
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+ ## 🌐 Ethical Considerations
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  GhostAI commits to responsible AI:
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+ - ✅ Ensure originality of generated works
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+ - 📢 Disclose AI involvement in outputs
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+ - 🌍 Respect cultural nuances and intellectual property
85
+ - 🚫 Prohibit harmful or unethical content generation
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+ ## 🔍 Model Details
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+ **Developed by:** *GhostAI*
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+ **Model type:** Diffusion-based music generation with transformer conditioning
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+ **License:** Apache 2.0
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+ **Resources:**
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+ - 🌐 [Project Page](https://ghostai.github.io/GHOSTSONA) *(Coming Soon)*
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+ - 📂 [Hugging Face Repository](https://huggingface.co/ghostai1/GHOSTSONA)
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+ - 🎮 [Demo Space](https://huggingface.co/spaces/ghostai1/GHOSTSONA) *(Coming Soon)*
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+ ## 📜 Citation
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+ ```bibtex
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  @misc{ghostai2025phantomstep,
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  title={PhantomStep: The Ultimate Music Generation Foundation Model},
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  author={GhostAI Team},
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+ howpublished={\url{https://huggingface.co/ghostai1/GHOSTSONA}},
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  year={2025},
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+ note={Hugging Face repository}
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+ }