# Qwen Image 2512 Trainer API

> ᠵᡠᠯᡤᠠᠨ ᡶᡳᠯᡮᡠ ᡳ ᡳᠮᠠᡤᡝᠨ ᡩᡝ ᡴᡝᠮᡠᠨ ᠪᡳᠴᡳᠮᠪᡳ ᠵᡝᠴᡝᠨ zip ᠴᡳ Qwen Image 2512 ᡩᡝ LoRA ᡴᡝᠮᡠᠨ ᠵᠠᠯᡤᠠᠯᠠᠮᠪᡳ

ᠰᡳᠨᡝ ᡩᠠᠯᠵᡳᠨ ᡩᡝ LoRA ᡳ ᡩᠠᠯᠵᡳᠨ ᡴᡝᠮᡠᠨ ᠵᠠᠯᡤᠠᠯᠠᠮᠪᡳ᠉ `image_data_url` ᡝᠮᡠ zip ᡩᡝ ᡳᠮᠠᡤᡝᠨ ᠵᡝᠴᡝᠨ ᡳᠯᡤᠠᠨ ᡴᡳᠰᡳᠪᡠᠮᠪᡳ (photo.jpg ᠵᡝᠴᡝᠨ photo.txt)᠉ `steps` 1 ᠴᡳ 30000 ᠪᡳ (ᡳᠯᡥᠠᠨ 1000)᠈ `learning_rate` ᡴᠠᠮᠴᡳᠯᠠᠮᠪᡳ᠈ `default_caption` ᠣᠮᠠᠰᡳ ᡳᠯᡤᠠᠨ ᡴᡳᠰᡳᠪᡠᠮᠪᡳ᠉ diffusers LoRA ᡳ ᠵᠠᠯᡤᠠᠯᠠᠨ ᡝᠵᡝᠨ ᠵᡝᠴᡝᠨ config ᡶᠠᠶᠠᠨ ᡩᡠᠯᡝᠮᠪᡳ᠉

- Model id: `qwen-image-2512-trainer`
- Made by: Alibaba
- Category: Training
- Output: file
- Price per run: from $0.75 / run (cheapest run $0.75 (750 API credits))
- Run: `POST https://api.doitong.com/v1/run/qwen-image-2512-trainer`
- Quote: `POST https://api.doitong.com/v1/quote/qwen-image-2512-trainer`
- Docs page: https://doitong.com/mnc/developers/models/qwen-image-2512-trainer

## Pricing

Price: **from $0.75 / 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 $1.50 = 1500 API credits (1 run × $1.50).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/qwen-image-2512-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 |
|---|---|---|---|---|---|---|
| `image_data_url` |  | string | yes |  |  | ᡥᡡᠯᠠᠨ-ᡤᠠᠳᠠᠨ ᠮᡠᠶᠠᠨ ᡳ ZIP ᠠᡵᡬᠠᠨ ᡩᠠᡶᠠᠯᠠᠮᠪᡝᡵᡝ URL. ᡥᡡᠯᠠᠨ ᡳ ᡶᡳᠯᡝ ᠠᠮᠪᡳ ᠣᠴᡳ default_caption ᠠᠮᠪᡳ; ᡩᠠᡶᠠᠯᠠᠮᠪᡝᡵᡝ ᠪᡠᠶᡝᠨ ᠠᠮᠪᡳ. ᠵᠠᡵᡤᠠᠨ ᡶᡳᠯᡝ ᡤᠠᠳᠠᠨ ᡳ ᡥᡡᠯᠠᠨ ᠪᡝᠶᡝᡥᡝ ᡩᠠᡶᠠᠯᠠᠮᠪᡝᡵᡝ: image.EXT ᡩᡝ image.txt ᠵᠠᠯᡠ, photo.jpg ᡩᡝ photo.txt ᠰᡳᠨᡝ |
| `learning_rate` |  | number | no | `0.0005` |  | ᠯᠠᠨ ᡩᠠᡶᠠᠯᠠᠮᠪᡝᡵᡝ LoRA ᠵᠠᡴᡠᠨ ᡳ ᠵᠠᡶᠠᠨ |
| `steps` |  | integer | no | `1000` | 1 – 30,000 | ᠵᠠᠰᡳᠮᡝ ᠵᠠᡴᡠᠨ ᡳ ᠮᡠᠶᠠᡥᡠᠨ ᠵᠠᠯᡳᠨ᠉ |
| `default_caption` |  | string \| null | no |  |  | ᠠᠯᡤᠠᠨ ᡥᡡᠯᠠᠨ ᡶᡳᠯᡝ ᡠᡴᡩᡝᠮᡝ ᠠᠰᠠᠮᡝ ᠪᡳᠰᡳᡵᡝ ᡥᡡᠯᠠᠨ᠈ None ᠠᠰᠠᠮᡝ ᡠᡴᡩᡝᠮᡝ ᠪᡝ ᠪᠣᠯᡥᠣᠮᡝ᠉ |

## Example input

Required parameters only:

```json
{
  "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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.com/v1/run/qwen-image-2512-trainer?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.com/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/qwen-image-2512-trainer?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/qwen-image-2512-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.com/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": "qwen-image-2512-trainer",
      "input": {
        "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "qwen-image-2512-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": 1500,
    "usd": "1.50",
    "charged": 1500,
    "refunded": 0
  },
  "input": {
    "image_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "diffusers_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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `diffusers_lora_file` | object {url, content_type, file_name, file_size} | ᠵᠠᠰᡳᠮᡝ ᠪᡳᠰᡳᡵᡝ LoRA ᠵᠠᠯᡳᠨ ᡳ URL᠉ |
| `config_file` | object {url, content_type, file_name, file_size} | ᠵᠠᠰᡳᠮᡝ ᠮᡳᠶᠠᠮᡝ ᡳ ᠮᡳᠨᡩᡝᡵᡝ ᡶᡳᠯᡝ ᡳ URL᠉ |

## Related models

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- [Wan-2.1 LoRA Trainer · I2V 720p](https://doitong.com/developers/models/wan-trainer/i2v-720p.md) (`wan-trainer/i2v-720p`): $0.005 / step
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- [Wan-2.1 LoRA Trainer · T2V 14b](https://doitong.com/developers/models/wan-trainer/t2v-14b.md) (`wan-trainer/t2v-14b`): $0.005 / step
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- [Wan-2.2 LoRA Trainer · T2V A14b](https://doitong.com/developers/models/wan-22-trainer/t2v-a14b.md) (`wan-22-trainer/t2v-a14b`): $0.004 / step
- [Z Image Trainer](https://doitong.com/developers/models/z-image-trainer.md) (`z-image-trainer`): $0.00226 / step

## Links

- HTML page: https://doitong.com/developers/models/qwen-image-2512-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=qwen-image-2512-trainer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/qwen-image-2512-trainer