# Stable Audio 3 Trainer API

> Stable Audio 3 ᡩ᠝ LoRA ᠪᡝ ᠠᠪᠢᠶᠠᠨ ᡳ ᠵᡠᠰᡳᠨ ᠪᠠᡳ ᠵᠠᠯᡳᠨ ᡳ ᡴᠠᡵᡳᠨ ᡳ zip ᡩᠠᠨ ᡳ ᡥᠠᠰᠠᡥᠠ ᠶᠠᠪᡠᠮᠪᡳ

ᠵᠠᠯᡳᠨ ᡳ checkpoint (medium-base, small-music-base ᠪᠠᡳ small-sfx-base) ᠪᡝ `audio_data_url` zip ᡩ᠝ ᠵᡠᠰᡳᠨ ᡳ ᡝᠮᡠᠯᡝᠨ ᡳ `.txt` ᠪᡝ ᠰᠣᠯᡤᠣᠮᡝ ᠵᠠᠰᠠᠮᠪᡳ. `number_of_steps` (ᡳᠯᡥᡝ 20000), `learning_rate`, `rank` (1 ᡩᠠᠨ 256), `adapter_type` ᠪᠠᡳ `batch_size` ᠪᡝ ᠵᠠᠰᠠᠮᠪᡳ, ᠪᠠᡳ `.safetensors` checkpoint ᡩᠠᠨ ᡳ ᠵᠠᠪᠰᡳᠮᠪᡳ. LoRA ᠳ᠋ᠣᠣᠨᠣ ᠪᠠᡳ config ᠪᡝ ᠪᠠᠶᠠᠨᠠᠮᠪᡳ.

- Model id: `stable-audio-3-trainer`
- Made by: Stability AI
- Category: Training
- Output: file
- Price per run: from $0.003 / run (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.ru/v1/run/stable-audio-3-trainer`
- Quote: `POST https://api.doitong.ru/v1/quote/stable-audio-3-trainer`
- Docs page: https://doitong.com/mnc/developers/models/stable-audio-3-trainer

## Pricing

Price: **from $0.003 / run** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $3.00 = 3000 API credits (1 run × $3.00).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/stable-audio-3-trainer` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `audio_data_url` |  | string | yes |  |  | ᡤᡳᠰᡠᠨ ᡳ ᡩᠠᠲᠠᠰᡝᡨ ᡳ zip ᡠᡵᡤᠠᠨ᠂ ᠮᡠᡵᡤᠠᠨ ᡤᠠᠯᡤᠠ/caption ᡝᠮᡠ ᠵᠠᠰᡳᠨ ᠪᠠᡳᡥᠠᠨ᠈ ᡳᠯᡝᠨ `clip.wav` ᠵᠠᠯᠠᠨ `clip.txt` ᡳᠯᡳ. Caption ᡳ `.txt` ᡠᡵᡤᠠᠨ ᠪᡝ ᠠᠰᡥᠠᠨ ᠪᡝ ᠪᠠᡳᡵᠠᠨᠠ. |
| `model` |  | enum (string) | no | `medium-base` | `medium-base`, `small-music-base`, `small-sfx-base` | Stable Audio 3 ᡳ ᡤᠠᠯᠠᠨ ᡤᠠᠷᡤᠠᠨ ᡳᠯᡳᠪᡠᠮᡝ ᡳ ᠪᠠᠰᡝ ᡩᠠᠯᠠᠨ. |
| `number_of_steps` |  | integer | no | `1000` | 1 – 20,000 | LoRA ᠵᠠᠰᠠᠮᡝ ᠠᠮᠠ ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡳ᠉ |
| `learning_rate` |  | number | no | `0.0001` | ≤ 0.01, > 0 | AdamW ᡳ LoRA ᠵᠠᡴᡠᠨ ᡳ ᠮᡠᠯᡤᠠᠨ ᠵᠠᠯᠠᠨ. |
| `rank` |  | integer | no | `16` | 1 – 256 | LoRA ᠠᠪᠠᡥᠠᠨ ᡳ ᠵᠡᡵᡤᡳ. |
| `adapter_type` |  | enum (string) | no | `dora-rows` | `lora`, `dora`, `dora-rows`, `dora-cols`, `bora`, `lora-xs`, `dora-rows-xs`, `dora-cols-xs`, `bora-xs` | LoRA ᠵᠠᡴᡠᠨ ᡳ ᠠᠪᠠᡥᠠᠨ ᡠᠰᡳᡥᠠᠨ. |
| `duration` |  | number \| null | no |  | 1 – 380 | ᠵᠠᠯᠠᠨ ᡳ ᡩᠠᠯᠠᠨ ᠪᡝ ᡩᠠᠯᠵᡳᠨᠠᠮᡝ ᡥᠠᠨᠵᠠᠨ ᠠᠯᡳᠨ᠈ ᠮᠣᠳᡝᠯ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᡤᠠᠯᠠᠨ ᠠᠯᡳᠨ. ᠠᠯᠪᠠᡩᡝ ᡶᠠᠨᠵᡳᠨᠠᠮᡝ ᠵᡠᠯᡝ ᡶᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠪᡠᠮᡝ. |
| `batch_size` |  | integer | no | `1` | 1 – 8 | ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᡤᠠᠨ ᡳ ᠶᠠᠯᡤᠠᠨ. |
| `seed` |  | integer | no | `42` | 0 – 2,147,483,647 | ᡵᡝᠨᠵᡝᠨ ᡳ ᠵᠠᠯᠠᠨ. |
| `base_precision` |  | enum (string) | no | `bf16` | `bf16`, `bfloat16`, `fp16`, `float16` | ᠵᠠᠯᠠᠨ ᡳ ᡶᡳᠯᡝᠨ ᡳ ᠮᡠᠯᡤᠠᠨ ᡳ ᡥᠠᠨᠵᠠᠨ᠈ LoRA ᠵᠠᡴᡠᠨ ᠪᡝ fp32 ᠪᠠᡳᡵᠠᠮᡝ. |
| `include` |  | array of string \| null | no |  |  | LoRA ᡳ ᠵᠠᠯᠠᡵᠠ ᡝᠮᡤᡳᠯᡝᠨ ᡳ ᡤᡳᠰᡠᠨ ᡳ ᠵᠠᠯᠠᠨ᠈ ᠨᡳᠶᠠᠯᠮᠠ ᡥᠠᠴᡳᠨ ᠠᠯᡳᠨ. |
| `exclude` |  | array of string \| null | no |  |  | ᡩᠠᠨᠵᡳᠨᠠᠨ ᡝᠮᡤᡳᠯᡝᠨ ᡳ ᠵᠠᠯᠠᠨ. |
| `lora_checkpoint_url` |  | string \| null | no |  |  | ᡠᠯᡥᠠ URL ᡳ `.safetensors` LoRA ᠵᠠᠯᠠᠨ ᠪᡝ ᡴᠠᡵᠠ ᠵᡠᡵᡤᠠᠨ. |
| `pre_encode` |  | boolean | no | `false` |  | ᠵᠠᠯᠠᠨ ᡳ ᡶᡳᠯᡝ ᠪᡝ SAME latents ᠪᡝ ᡤᠠᠯᠠᠨ ᠪᠠᡳᡵᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡨᠠᠨᠠᠮᡝ. |

## Example input

Required parameters only:

```json
{
  "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

A fuller example:

```json
{
  "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/stable-audio-3-trainer?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/stable-audio-3-trainer?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/stable-audio-3-trainer", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "stable-audio-3-trainer",
      "input": {
        "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "stable-audio-3-trainer",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 3000,
    "usd": "3.00",
    "charged": 3000,
    "refunded": 0
  },
  "input": {
    "audio_data_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  },
  "output": {
    "lora_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "config_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `lora_file` | object {url, content_type, file_name, file_size} | Stable Audio 3 ᠵᠠᠯᠠᠨ ᡳ LoRA ᠵᠠᠯᠠᠨ. |
| `config_file` | object {url, content_type, file_name, file_size} | ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡤᠠᠯᠠᠨ ᠪᡝ ᠵᡝᠮᡝᠯᡝᠨ ᠪᡝ ᠪᠠᡳᡵᠠᠨᠠ JSON ᠮᠡᡩᡝᠨ. |

## Related models

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- [FLUX 2 \[klein\] 9b Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer.md) (`flux-2-klein-9b-base-trainer`): $0.0043 / step
- [Flux 2 Klein 9B Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer/edit.md) (`flux-2-klein-9b-base-trainer/edit`): $0.0139 / step
- [FLUX 2 Trainer](https://doitong.com/developers/models/flux-2-trainer.md) (`flux-2-trainer`): $0.0064 / step
- [FLUX 2 Trainer Edit](https://doitong.com/developers/models/flux-2-trainer/edit.md) (`flux-2-trainer/edit`): $0.0389 / step
- [FLUX 2 Trainer V2](https://doitong.com/developers/models/flux-2-trainer-v2.md) (`flux-2-trainer-v2`): $0.0064 / step
- [FLUX 2 Trainer V2 Edit](https://doitong.com/developers/models/flux-2-trainer-v2/edit.md) (`flux-2-trainer-v2/edit`): $0.0389 / step
- [Flux Kontext Trainer](https://doitong.com/developers/models/flux-kontext-trainer.md) (`flux-kontext-trainer`): from $1.25 / run

## Links

- HTML page: https://doitong.com/developers/models/stable-audio-3-trainer
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=stable-audio-3-trainer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/stable-audio-3-trainer