# Creative Upscaler API

> 基于扩散模型的创意放大器，可增加细节，支持 SD 1.5 或 SDXL 基础模型及形状控制

从 `image_url` 获取图像，以 `scale` 1 到 5 放大并生成新细节。`model_type` 为 SD_1_5 或 SDXL，`creativity` 和 `detail` 设置修改程度，`shape_preservation` 保留原始结构。未提供 `prompt` 时会自动生成。支持自定义基础模型、LoRA 和嵌入 URL。

- Model id: `creative-upscaler`
- Made by: Open model
- Category: Upscale
- Output: image
- Charged by usage (up to $1.125 per run, typical $0.007; the rest of the hold is refunded): $0.00125 / second of processing time (cheapest run $0.007 (7 API credits))
- Run: `POST https://api.doitong.ru/v1/run/creative-upscaler`
- Quote: `POST https://api.doitong.ru/v1/quote/creative-upscaler`
- Docs page: https://doitong.com/zh/developers/models/creative-upscaler

## Pricing

Price: **$0.00125 / second of processing time**. Charged by actual usage at $0.00125 / second of processing time: up to $1.125 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.007.

The full example input below holds up to $1.125 = 1125 API credits (up to 900 s of processing time × $0.00125) when it starts; a typical run costs $0.007 (7 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.ru/v1/quote/creative-upscaler` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. 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 |
|---|---|---|---|---|---|---|
| `model_type` |  | enum (string) | no | `SD_1_5` | `SD_1_5`, `SDXL` | 用于放大的模型类型；默认值为 SD_1_5。 |
| `image_url` | `image` | string (image URL) | yes |  |  | 用于放大的源图像。 |
| `prompt` |  | string \| null | no |  |  | 图像生成提示词；省略时由 BLIP2 创建。自行提供时，请尽可能包含详细描述以获得最佳结果。 |
| `scale` |  | number | no | `2` | 1 – 5 | 提高此缩放因子可使输出图像更大。 |
| `creativity` |  | number | no | `0.5` | 0 – 1 | 允许偏离原始内容的程度。 |
| `detail` |  | number | no | `1` | 0 – 5 | 增加的细节量。 |
| `shape_preservation` |  | number | no | `0.25` | 0 – 3 | 保留源图像形状的程度。 |
| `prompt_suffix` |  | string | no | `high quality, highly detailed, high resolution, sharp` |  | 用于附加 embedding token 或 'high quality' 等措辞的共享提示词结尾，会追加到所有提示词中。 |
| `negative_prompt` |  | string | no | `blurry, low resolution, bad, ugly, low quality, pixelated, interpolated, compression artifacts, noisey, grainy` |  | 指定不需要的图像细节的负面提示词。可排除颜色、物体、场景或更细致的特征和质量，例如胡子、模糊或低分辨率。 |
| `seed` |  | integer \| null | no |  |  | 用于在 Stable Diffusion 中复现图像的种子。保持模型版本、提示词和种子不变，即可在每次运行中精确复现图像。 |
| `guidance_scale` |  | number | no | `7.5` | 0 – 16 | 图像选择对提示词的遵循强度，以 CFG（Classifier Free Guidance）表示。 |
| `num_inference_steps` |  | integer | no | `20` | 1 – 200 | 图像生成推理步骤数；步骤数越大，图像质量越好，但生成时间越长。 |
| `enable_safety_checks` |  | boolean | no | `true` |  | 安全检查选项；为 true 时，如果检测到结果包含潜在不安全内容，则将其替换为黑色图像。 |
| `skip_ccsr` |  | boolean | no | `false` |  | 启用后跳过 CCSR 预处理，图像将直接发送到创造性模型。 |
| `override_size_limits` |  | boolean | no | `false` |  | 允许可能需要很长时间的大型上传。 |
| `base_model_url` |  | string \| null | no |  |  | 用于放大的基础模型 URL。 |
| `additional_lora_url` |  | string | no |  |  | 提供模型 URL 以指定用于放大的额外 LORA。没有值时，默认值为 None。 |
| `additional_lora_scale` |  | number | no | `1` |  | 通过其 scale 设置调整额外 LORA 对放大的影响强度，默认值为 1.0。 |
| `additional_embedding_url` |  | string | no |  |  | 通过 URL 指向额外 embedding，以用于放大。没有值时，默认值为 None。 |

File parameters (`image`) 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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "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.ru/v1/run/creative-upscaler?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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.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/creative-upscaler?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "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/creative-upscaler", 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": "creative-upscaler",
      "input": {
        "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": "creative-upscaler",
  "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": 1125,
    "usd": "1.125",
    "charged": 1125,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "image": {
      "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
    },
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size, width, height} | 生成图像的文件信息。 |
| `seed` | integer | 图像生成种子；如果输入未提供种子，则包含随机选择的值，否则重复使用所提供的值。 |

## Related models

- [Topaz Image Upscale](https://doitong.com/developers/models/topaz/upscale/image/precision.md) (`topaz/upscale/image/precision`): $0.08 / 24 megapixels of output image
- [Topaz Video Upscale](https://doitong.com/developers/models/topaz/upscale/video/precision.md) (`topaz/upscale/video/precision`): from $0.00667 / second of input video
- [AuraSR](https://doitong.com/developers/models/aura-sr.md) (`aura-sr`): $0.001111 / second of processing time
- [DRCT-Super-Resolution](https://doitong.com/developers/models/drct-super-resolution.md) (`drct-super-resolution`): $0.0045 / megapixel of output image
- [Flashvsr](https://doitong.com/developers/models/flashvsr/upscale/video.md) (`flashvsr/upscale/video`): $0.0005 / megapixel of output video
- [Fooocus Upscale or Vary](https://doitong.com/developers/models/fooocus/upscale-or-vary.md) (`fooocus/upscale-or-vary`): $0.007 / image
- [Upscale Images](https://doitong.com/developers/models/esrgan.md) (`esrgan`): $0.000575 / second of processing time
- [Video Upscaler](https://doitong.com/developers/models/video-upscaler.md) (`video-upscaler`): $0.0008 / megapixel of output video

## Links

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