# GPT-Image 1.5 · Edit API

> Chỉnh sửa hình ảnh phiên bản 1.5 với mặt nạ tùy chọn cho các thay đổi có mục tiêu và độ trung thực đầu vào cao theo mặc định

Chỉnh sửa hình ảnh tham chiếu từ `image_urls` bằng lời nhắc dài tối đa 32000 ký tự. `mask_image_url` tùy chọn đánh dấu vùng cần thay đổi. `input_fidelity` là low hoặc high (mặc định high), quality là low, medium hoặc high, còn size có thể là auto hoặc một trong ba kích thước cố định. Tối đa 4 hình ảnh ở dạng png, jpeg hoặc webp.

- Model id: `gpt-image-1.5/edit`
- Made by: OpenAI
- Category: Image Editing
- Output: image
- Price per run: from $0.009 / run of output image (cheapest run $0.009 (9 API credits))
- Run: `POST https://api.doitong.com/v1/run/gpt-image-1.5/edit`
- Quote: `POST https://api.doitong.com/v1/quote/gpt-image-1.5/edit`
- Docs page: https://doitong.com/vi/developers/models/gpt-image-1.5/edit

## Pricing

Price: **from $0.009 / run of output image** (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.

Price by tier:

- low, 1024x1024: $0.009 / run of output image
- low: $0.013 / run of output image
- low, 1536x1024: $0.013 / run of output image
- low, 1024x1536: $0.013 / run of output image
- medium, 1024x1024: $0.034 / run of output image
- medium, 1536x1024: $0.05 / run of output image
- medium: $0.051 / run of output image
- medium, 1024x1536: $0.051 / run of output image
- high, 1024x1024: $0.133 / run of output image
- high, 1536x1024: $0.199 / run of output image
- high: $0.20 / run of output image
- high, 1024x1536: $0.20 / run of output image
- auto: $0.20 / run of output image

The full example input below costs $0.225 = 225 API credits (1 run × $0.20 (high) + $0.00044 + $0.0244).

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/gpt-image-1.5/edit` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 2 – 32000 characters | Lời nhắc được dùng để tạo sinh hình ảnh. |
| `image_urls` | `images` | array of image URL | yes |  |  | Các URL hình ảnh tham chiếu để tạo sinh. |
| `image_size` |  | enum (string) | no | `auto` | `auto`, `1024x1024`, `1536x1024`, `1024x1536` | Tỷ lệ khung hình của hình ảnh kết quả. |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | Nền của hình ảnh kết quả. |
| `quality` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Chất lượng của hình ảnh kết quả. |
| `input_fidelity` |  | enum (string) | no | `high` | `low`, `high` | Mức độ hình ảnh kết quả tuân theo đầu vào. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Số hình ảnh cần tạo. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Định dạng tệp của các hình ảnh đầu ra. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | URL của hình ảnh mặt nạ xác định vùng cần chỉnh sửa trong quá trình tạo sinh. |

File parameters (`images`, `mask_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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_urls": [
    "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/gpt-image-1.5/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "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/gpt-image-1.5/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
        "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/gpt-image-1.5/edit", 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": "gpt-image-1.5/edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_urls": [
          "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": "gpt-image-1.5/edit",
  "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": 225,
    "usd": "0.225",
    "charged": 225,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "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
      }
    ]
  },
  "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} | Các hình ảnh được mô hình tạo sinh. |

## Related models

- [GPT-Image 1.5](https://doitong.com/developers/models/gpt-image-1.5.md) (`gpt-image-1.5`): from $0.009 / run of output 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
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / 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
- [GPT Image 1 Mini · Edit](https://doitong.com/developers/models/gpt-image-1-mini/edit.md) (`gpt-image-1-mini/edit`): from $0.005 / run of output image

## Links

- HTML page: https://doitong.com/developers/models/gpt-image-1.5/edit
- 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=gpt-image-1.5/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/gpt-image-1.5/edit