# GPT-Image 1.5 · Edit API

> টার্গেটেড পরিবর্তনের জন্য ঐচ্ছিক মাস্ক এবং উচ্চ ইনপুট ফিডেলিটির ডিফল্টসহ সংস্করণ 1.5 ছবি সম্পাদনা

সর্বোচ্চ 32000 অক্ষরের প্রম্পট ব্যবহার করে `image_urls`-এর রেফারেন্স ছবি এডিট করে। কোন অঞ্চল পরিবর্তন হবে তা `mask_image_url` দিয়ে ঐচ্ছিকভাবে নির্ধারণ করা যায়। `input_fidelity` low অথবা high (ডিফল্ট high), গুণমান low, medium অথবা high হতে পারে, এবং আকার auto অথবা তিনটি fixed size-এর যেকোনো একটি হতে পারে। png, jpeg অথবা webp-এ সর্বোচ্চ 4টি ছবি।

- 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.ru/v1/run/gpt-image-1.5/edit`
- Quote: `POST https://api.doitong.ru/v1/quote/gpt-image-1.5/edit`
- Docs page: https://doitong.com/bn/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.ru/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 | ছবি জেনারেট করতে ব্যবহৃত প্রম্পট। |
| `image_urls` | `images` | array of image URL | yes |  |  | জেনারেশনের জন্য রেফারেন্স ছবির দিকে নির্দেশ করা URL। |
| `image_size` |  | enum (string) | no | `auto` | `auto`, `1024x1024`, `1536x1024`, `1024x1536` | ফলাফল ছবির অ্যাসপেক্ট রেশিও। |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | ফলাফল ছবির ব্যাকগ্রাউন্ড। |
| `quality` |  | enum (string) | no | `high` | `low`, `medium`, `high` | ফলাফল ছবির গুণমান। |
| `input_fidelity` |  | enum (string) | no | `high` | `low`, `high` | ইনপুট অনুসরণ করার ক্ষেত্রে ফলাফল ছবির মাত্রা। |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | তৈরি করার ছবির সংখ্যা। |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | আউটপুট ছবির ফাইল ফরম্যাট। |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | জেনারেশনের সময় সম্পাদনা করতে হবে এমন অঞ্চল শনাক্তকারী মাস্ক ছবির URL। |

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.ru/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.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/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.ru/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.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": "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | মডেল দ্বারা তৈরি ছবি। |

## 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.ru/v1/models/gpt-image-1.5/edit