| --- |
| license: mit |
| language: |
| - es |
| tags: |
| - Reggaeton |
| - Afrobeat |
| - Lora |
| - Sft |
| - xl |
| - acestep |
| - ace |
| - step |
| - Walki |
| - commercialmusic |
| - music |
| - commercial |
| --- |
| |
| # Ace-Step 1.5 XL SFT LoRA - Multi-Genre Reggaeton / Afrobeat |
|
|
| This LoRA was trained for **Ace-Step 1.5 XL SFT** and is designed to enhance generation of urban Latin music styles, especially **Reggaeton** and **Afrobeat / Afro-pop inspired sounds**. |
|
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| The same LoRA can be used with different genres by changing the first keyword in the **Style** prompt. |
|
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| ## Recommended usage |
|
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| At the beginning of the Style prompt, specify the desired musical direction: |
|
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| **For urban reggaeton:** |
|
|
| ``` |
| Reggaeton, [your instructions here] |
| ``` |
|
|
| **For afrobeat / afro-pop inspired generations:** |
|
|
| ``` |
| Afrobeat, [your instructions here] |
| ``` |
|
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| After selecting the genre, add your own instructions describing the desired vocals, instrumentation, mood, structure, or production style. |
|
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| Example: |
|
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| ``` |
| Reggaeton, energetic male vocals, classic dembow drums, deep sub bass, catchy melodic hooks, commercial production |
| ``` |
|
|
| or: |
|
|
| ``` |
| Afrobeat, melodic female vocals, tropical groove, layered harmonies, emotional hooks, modern pop production |
| ``` |
|
|
| ## Training approach |
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| This LoRA was trained using a small curated dataset with structured musical metadata, lyrics, and song sections (Intro, Verse, Pre-Chorus, Chorus, etc.). |
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| The dataset focuses on improving: |
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| * Melodic coherence |
| * Vocal phrasing |
| * Harmonic variation |
| * Catchy hooks |
| * Urban Latin and Afro-pop textures |
|
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| The model performs best when the Style prompt clearly specifies the intended genre and musical characteristics. |
|
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| ## Base model requirement |
|
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| This LoRA was trained specifically for: |
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| **Ace-Step 1.5 XL SFT** |
|
|
| Make sure you load it with the correct base model for best results. |
