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# ACE-Step 1.5 XL

> Open-source music generation model for text-to-song and lyric-guided audio, with fast 8-step XL Turbo inference for controllable song iteration.

![ACE-Step 1.5 XL](https://media.empiriolabs.ai/model-logos/ace-step-1-5-xl.png)

[ACE-Step](/providers/ace-step) · Audio Generation

`POST /v1/audio/generations`

Open-source music generation model for text-to-song and lyric-guided audio, with fast 8-step XL Turbo inference for controllable song iteration.

## At a glance

| Field               | Value                                                                        |
| ------------------- | ---------------------------------------------------------------------------- |
| Model id            | `ace-step-1-5-xl`                                                            |
| Model release date  | 2026-04-02                                                                   |
| Input modalities    | Text                                                                         |
| Output modalities   | Audio                                                                        |
| Context window      | -                                                                            |
| Weight precision    | BF16                                                                         |
| Features            | music\_generation, lyrics, text\_to\_music, seed\_control, commercial\_ready |
| Native inference    | Yes                                                                          |
| New                 | No                                                                           |
| Supported endpoints | `POST /v1/audio/generations`                                                 |
| Alternate model ids | `ace-step-1.5-xl`, `ace-step/acestep-v15-xl-turbo`                           |

## Pricing

| Charge           | Spec                 | Rate                     |
| ---------------- | -------------------- | ------------------------ |
| Music generation | per generated second | \$0.00025 (was \$0.0003) |

## Example request

```bash
curl https://api.empiriolabs.ai/v1/audio/generations \
  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"model": "ace-step-1-5-xl", "prompt": "warm jazz piano", "duration": 8}'
```

## Parameters

| Parameter             | Type    | Required | Default  | Description                                                                                                                                                            |
| --------------------- | ------- | -------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `prompt`              | string  | yes      | -        | Genre, mood, instrumentation, and BPM hints describing the music to compose. Comma-separated tags work well.                                                           |
| `lyrics`              | string  | no       | -        | Vocal lyrics for the track. Use \[verse] / \[chorus] / \[bridge] tags to mark sections, blank line for instrumental break. Leave empty for purely instrumental tracks. |
| `audio_duration`      | number  | no       | `30.0`   | Length of the generated track in seconds. The model is most reliable up to \~4 minutes; longer durations risk OOM/quality drops during diffusion. · Range: 10.0 – 240  |
| `num_inference_steps` | integer | no       | `8`      | Number of diffusion steps. 8 is the recommended sweet spot for the Turbo variant; raise for more polish, lower for cheaper draft generations. · Range: 1 – 20          |
| `guidance_scale`      | number  | no       | `1.0`    | Classifier-free guidance scale. 1.0 follows the model's natural distribution; higher values push closer to the prompt at the cost of variety. · Range: 0.0 – 20.0      |
| `shift`               | number  | no       | -        | Diffusion timestep shift. Default leaves the schedule unchanged; nudge to 1.0+ for shorter/punchier or below 1.0 for slower/dreamier results.                          |
| `negative_prompt`     | string  | no       | -        | Negative prompt — anti-tags, anti-styles, instruments to exclude. Same comma-separated style as prompt.                                                                |
| `seed`                | integer | no       | -        | Random seed for reproducibility. Same seed + identical params produces the same track.                                                                                 |
| `format`              | enum    | no       | `"flac"` | Audio container format for the response. FLAC = lossless, WAV = uncompressed, MP3 = small file size. · Allowed: `flac`, `wav`, `ogg`, `mp3`                            |
| `response_format`     | enum    | no       | `"url"`  | How the worker returns the audio. 'url' returns a signed URL to the rendered file; 'base64' inlines the bytes in the response. · Allowed: `url`, `b64_json`            |
| `return_base64`       | boolean | no       | false    | When true, the response includes the rendered audio as base64 in addition to (or instead of, depending on response\_format) the URL.                                   |

## Notes

**Defaults**

* 8 inference steps
* Guidance scale 1.0
* Lossless FLAC output

**Controls**

Supports lyrics, prompt/description, 10-600s duration, seed, shift, optional negative prompt when supported by the pinned pipeline, and URL or base64 output mode.

---

*Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/ace-step-1-5-xl`.

> Open-source music generation model for text-to-song and lyric-guided audio, with fast 8-step XL Turbo inference for controllable song iteration.