# gpt-image-1 · Edit Image API

> پرامپٹ کے ذریعے حوالہ جاتی تصاویر میں ترمیم یا امتزاج، ان پٹ fidelity ترتیب اور شفاف پس منظر کے اختیار کے ساتھ

`image_urls` میں ایک یا زیادہ حوالہ جاتی تصاویر اور ایک پرامپٹ سے نئی تصاویر بناتا ہے۔ `input_fidelity` low یا high ہو سکتی ہے (پہلے سے high) تاکہ ان پٹس کو برقرار رکھنے کی حد مقرر کی جا سکے۔ سائز auto، 1024x1024، 1536x1024 یا 1024x1536، پس منظر auto، transparent یا opaque، زیادہ سے زیادہ 4 تصاویر، اور png، jpeg یا webp آؤٹ پٹ معاونت یافتہ ہیں۔

- Model id: `gpt-image-1/edit-image`
- Made by: OpenAI
- Category: Image Editing
- Output: image
- Price per run: from $0.011 / run of output image (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.com/v1/run/gpt-image-1/edit-image`
- Quote: `POST https://api.doitong.com/v1/quote/gpt-image-1/edit-image`
- Docs page: https://doitong.com/ur/developers/models/gpt-image-1/edit-image

## Pricing

Price: **from $0.011 / 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: $0.011 / run of output image
- low: $0.016 / run of output image
- low, 1536x1024: $0.016 / run of output image
- low, 1024x1536: $0.016 / run of output image
- medium, 1024x1024: $0.042 / run of output image
- medium: $0.063 / run of output image
- medium, 1536x1024: $0.063 / run of output image
- medium, 1024x1536: $0.063 / run of output image
- high, 1024x1024: $0.167 / run of output image
- auto: $0.25 / run of output image
- high: $0.25 / run of output image
- high, 1536x1024: $0.25 / run of output image
- high, 1024x1536: $0.25 / run of output image

The full example input below costs $0.27 = 270 API credits (1 run × $0.25 (auto) + $0.000176 + $0.01525, rounded up to the next $0.01).

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/edit-image` 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 characters | تصاویر کی تخلیق کے لیے استعمال ہونے والا پرامپٹ۔ |
| `image_urls` | `images` | array of image URL | yes |  |  | تخلیق کے لیے حوالہ جاتی تصاویر کے URLs۔ |
| `image_size` |  | enum (string) | no | `auto` | `auto`, `1024x1024`, `1536x1024`, `1024x1536` | نتیجے میں آنے والی تصویر کا aspect ratio۔ |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | نتیجے میں آنے والی تصویر کا background۔ |
| `quality` |  | enum (string) | no | `auto` | `auto`, `low`, `medium`, `high` | نتیجے میں آنے والی تصویر کی quality۔ |
| `input_fidelity` |  | enum (string) | no | `high` | `low`, `high` | نتیجے میں آنے والی تصویر کے ان پٹ کی پیروی کرنے کی سطح۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تیار کی جانے والی تصاویر کی تعداد۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | آؤٹ پٹ تصاویر کی فائل کا فارمیٹ۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | false سیٹ کر کے اسکریننگ نرم کی جا سکتی ہے، بشرطیکہ کال کرنے والا مجاز ہو۔ |

File parameters (`images`) 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/edit-image?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/edit-image?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/edit-image", 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/edit-image",
      "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/edit-image",
  "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": 270,
    "usd": "0.27",
    "charged": 270,
    "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} | ماڈل سے تیار کردہ تصاویر۔ |

## Related models

- [gpt-image-1 · Text to Image](https://doitong.com/developers/models/gpt-image-1/text-to-image.md) (`gpt-image-1/text-to-image`): from $0.011 / 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/edit-image
- 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/edit-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/gpt-image-1/edit-image