# Telestyle V2 Style Transfer API

> 2枚目のスタイル参照画像の外観を使ってコンテンツ画像を再描画するスタイル変換

被写体とレイアウトを維持する `content_image_url` に、スタイル、素材、照明、色を適用する `style_image_url` を指定します。`lora_scale`（0〜4）はスタイルの強度を制御します。オプションの Lightning LoRA はデフォルトで有効で、デフォルトのステップ数は4です。出力サイズは `image_size` プリセットで設定でき、1回の呼び出しで1〜4枚の jpeg または png を生成できます。

- Model id: `telestyle-v2`
- Made by: Open model
- Category: Image Editing
- Output: image
- Estimated price per run: $0.071 / image (cheapest run $0.071 (71 API credits))
- Run: `POST https://api.doitong.com/v1/run/telestyle-v2`
- Quote: `POST https://api.doitong.com/v1/quote/telestyle-v2`
- Docs page: https://doitong.com/ja/developers/models/telestyle-v2

## Pricing

Price: **$0.071 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.071 = 71 API credits (1 image × 71 API credits).

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/telestyle-v2` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `content_image_url` |  | string (image URL) | yes |  |  | スタイル転送の対象と構造を提供する画像URL。画像にスタイルを適用する際、対象と構造の両方が保持されます。 |
| `style_image_url` |  | string (image URL) | yes |  |  | コンテンツ画像のスタイル変更に使用する画像URL。参照画像が素材、芸術的スタイル、色、照明を提供します。 |
| `lora_scale` |  | number | no | `1` | 0 – 4 | TeleStyleV2アダプターの強度。参照実装の値1.0未満に下げると、より控えめなスタイル効果になります。 |
| `use_lightning_lora` |  | boolean | no | `true` |  | trueの場合、デフォルトのLoRAとともにLightning LoRAを使用するかどうかを制御します。 |
| `lightning_lora_scale` |  | number | no | `1` | 0 – 4 | Lightning LoRAの強度。参照実装の値1.0未満に下げると、より控えめなスタイル効果になります。 |
| `use_content_description` |  | boolean | no | `true` |  | trueの場合、コンテンツ画像の説明でプロンプトを強化します。説明はVLMが作成します。 |
| `use_style_description` |  | boolean | no | `true` |  | trueの場合、スタイル画像の説明でプロンプトを強化します。説明はVLMが作成します。 |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | 出力画像のサイズ。指定した場合のみ、コンテンツ画像のサイズを上書きします。 |
| `negative_prompt` |  | string | no | `` |  | 生成時に使用するネガティブプロンプト。 |
| `num_inference_steps` |  | integer | no | `4` | 2 – 50 | 実行する推論ステップ数。 |
| `guidance_scale` |  | number | no | `1` | 0 – 20 | Classifier Free Guidanceの略称であるCFGを使って、生成がプロンプトにどの程度忠実に従うかを設定します。 |
| `acceleration` |  | enum (string) | no | `none` | `none`, `regular` | 画像生成の高速化モード。'regular' は num_inference_steps に関係なく固定の 10 ステップで下流の高速化パスを使用します。デフォルトの 'none' は num_inference_steps に従うため、デフォルトの Lightning 設定では設定済みの 4 ステップを使用します。 |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | 生成する画像の枚数。 |
| `seed` |  | integer \| null | no |  |  | 画像結果を再現するためのシード。毎回同じ画像を再現するには、シード、すべての入力、モデルバージョンを変更しないでください。 |
| `enable_safety_checker` |  | boolean | no | `true` |  | 安全性チェッカーの有効化。true でチェックを有効にします。 |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | 結果の画像のファイル形式。 |

File parameters (`content_image_url`, `style_image_url`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

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

A fuller example:

```json
{
  "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "style_image_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/telestyle-v2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "style_image_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/telestyle-v2?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "style_image_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 = {
    "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "style_image_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/telestyle-v2", 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": "telestyle-v2",
      "input": {
        "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "style_image_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": "telestyle-v2",
  "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": 71,
    "usd": "0.071",
    "charged": 71,
    "refunded": 0
  },
  "input": {
    "content_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "style_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "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,
        "width": 1024,
        "height": 768
      }
    ],
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "",
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | スタイルが適用された画像または画像群。 |
| `has_nsfw_concepts` | array of boolean | 生成された画像にNSFW概念が含まれるかどうかを示します。 |
| `prompt` | string | コンテンツ画像とスタイル画像の両方から作成されたプロンプト。 |
| `seed` | integer | 生成時に適用したシード値。 |

## Related models

- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Bernini-R Edit Image](https://doitong.com/developers/models/bernini-r/edit-image.md) (`bernini-r/edit-image`): $0.03 / megapixel of output image
- [Boogu Image · Edit](https://doitong.com/developers/models/boogu-image/edit.md) (`boogu-image/edit`): $0.08 / image

## Links

- HTML page: https://doitong.com/developers/models/telestyle-v2
- 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=telestyle-v2
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/telestyle-v2