Update README.md

@misc
{ghostai2025phantomstep,
title={PhantomStep: The Ultimate Music Generation Foundation Model},
author={GhostAI Team},
howpublished={\url{https://github.com/GhostAI/PhantomStep}},
year={2025},
note={GitHub repository}
}

README.md

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-license: mit
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+license: mit
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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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+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
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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
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+Prohibit harmful or unethical content generation
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+Model Details
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+Developed by: GhostAI
+Model type: Diffusion-based music generation with transformer conditioning
+License: Apache 2.0
+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,
+  title={PhantomStep: The Ultimate Music Generation Foundation Model},
+  author={GhostAI Team},
+  howpublished={\url{https://github.com/GhostAI/PhantomStep}},
+  year={2025},
+  note={GitHub repository}
+}
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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.