---
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**.

The same LoRA can be used with different genres by changing the first keyword in the **Style** prompt.

## Recommended usage

At the beginning of the Style prompt, specify the desired musical direction:

**For urban reggaeton:**

```
Reggaeton, [your instructions here]
```

**For afrobeat / afro-pop inspired generations:**

```
Afrobeat, [your instructions here]
```

After selecting the genre, add your own instructions describing the desired vocals, instrumentation, mood, structure, or production style.

Example:

```
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

This LoRA was trained using a small curated dataset with structured musical metadata, lyrics, and song sections (Intro, Verse, Pre-Chorus, Chorus, etc.).

The dataset focuses on improving:

* Melodic coherence
* Vocal phrasing
* Harmonic variation
* Catchy hooks
* Urban Latin and Afro-pop textures

The model performs best when the Style prompt clearly specifies the intended genre and musical characteristics.

## Base model requirement

This LoRA was trained specifically for:

**Ace-Step 1.5 XL SFT**

Make sure you load it with the correct base model for best results.