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# 🎤 RapMachine Release
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We meticulously curated and trained this model on Chinese rap/hip-hop datasets, with rigorous data cleaning and recaptioning. The results include:
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- **Improved pronunciation** for Chinese lyrics
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- **Enhanced adherence** to hip-hop and electronic music styles
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- **Greater diversity** in hip-hop vocal performances
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### **How to Use**
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1. Generate **higher-quality Chinese songs** (⚠️ It's not just for Chinese songs. You can also use it in other ways. )
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2. Create **better hip-hop tracks**
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3. Blend it with other genres to:
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- Produce music with **richer vocal details**
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- Experiment with **underground or street culture flavors**
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4. Fine-tune outputs using the following dimensions:
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- **`vocal_timbre`**: Describes the inherent qualities of the voice.
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- Examples: *Bright, dark, warm, cold, breathy, nasal, gritty, smooth, husky, metallic, whispery, resonant, airy, smoky, sultry, light, clear, high-pitched, raspy, powerful, ethereal, flute-like, hollow, velvety, shrill, hoarse, mellow, thin, thick, reedy, silvery, twangy.*
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- **`techniques`**:
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- Examples:
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- **Rap styles**: `mumble rap`, `chopper rap`, `melodic rap`, `lyrical rap`, `trap flow`, `double-time rap`
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- **Vocal effects**: `auto-tune`, `reverb`, `delay`, `distortion`
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- **Delivery styles**: `whispered`, `shouted`, `spoken word`, `narration`, `singing`
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- **Other vocalizations**: `ad-libs`, `call-and-response`, `harmonized`
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---
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### **Updates & Community Call**
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We’ve **revamped and expanded** the LoRA training guide with finer details. This release is a **proof of concept**—showcasing the potential of **ACE-Step** as a foundational model for music generation.
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To the community: **Enjoy it, customize it, and create something entirely new.** We can’t wait to hear what you’ll build!
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