> ## Documentation Index
> Fetch the complete documentation index at: https://docs.toapis.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GPT-Image-2 Official Channel 이미지 생성

> Generate images with the official OpenAI gpt-image-2 model — text-to-image, image-to-image, and inpainting (mask) in one API, with 1K / 2K / 4K resolution tiers

* Official OpenAI `gpt-image-2` model
* Async processing — returns a task ID for subsequent polling
* Supports text-to-image, multi-reference image-to-image, and mask-based inpainting
* 13 aspect ratios with 1K / 2K / 4K resolution tiers
* Up to 4 images per request, up to 16 reference images

<Warning>
  **Note**: `gpt-image-2` does not support transparent backgrounds. Passing `background: "transparent"` will be silently downgraded to `auto`.
</Warning>

## Authorizations

<ParamField header="Authorization" type="string" required>
  All endpoints require Bearer Token authentication

  Get your API Key from the [API Key Management Page](https://toapis.com/console/token)

  Add to request header:

  ```
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## Body

<ParamField body="model" type="string" default="gpt-image-2" required>
  Image generation model name

  Use `gpt-image-2`
</ParamField>

<ParamField body="prompt" type="string" required>
  Text prompt describing the image to generate

  Supports English and Chinese; detailed descriptions of scene, style, and composition are recommended
</ParamField>

<ParamField body="size" type="string" default="1:1">
  Aspect ratio

  Supported values, or pass `auto` to let the server choose:

  `1:1` · `3:2` · `2:3` · `4:3` · `3:4` · `5:4` · `4:5` · `16:9` · `9:16` · `2:1` · `1:2` · `21:9` · `9:21`

  <Warning>
    4K tier only supports 6 ratios: `16:9` / `9:16` / `2:1` / `1:2` / `21:9` / `9:21`. Use `1K` or `2K` for all other ratios.
  </Warning>
</ParamField>

<ParamField body="resolution" type="string" default="1k">
  Resolution tier

  * `1k` — 1024-base, fast and cost-effective (default)
  * `2k` — 2048-base, suitable for posters and high-definition needs
  * `4k` — 3840-base, only supports the 6 ratios above; `high` quality can take >120s
</ParamField>

### Size Reference Table

| size   | 1K          | 2K          | 4K            |
| ------ | ----------- | ----------- | ------------- |
| `1:1`  | `1024x1024` | `2048x2048` | Not supported |
| `3:2`  | `1536x1024` | `2048x1360` | Not supported |
| `2:3`  | `1024x1536` | `1360x2048` | Not supported |
| `4:3`  | `1024x768`  | `2048x1536` | Not supported |
| `3:4`  | `768x1024`  | `1536x2048` | Not supported |
| `5:4`  | `1280x1024` | `2560x2048` | Not supported |
| `4:5`  | `1024x1280` | `2048x2560` | Not supported |
| `16:9` | `1536x864`  | `2048x1152` | `3840x2160`   |
| `9:16` | `864x1536`  | `1152x2048` | `2160x3840`   |
| `2:1`  | `2048x1024` | `2688x1344` | `3840x1920`   |
| `1:2`  | `1024x2048` | `1344x2688` | `1920x3840`   |
| `21:9` | `2016x864`  | `2688x1152` | `3840x1648`   |
| `9:21` | `864x2016`  | `1152x2688` | `1648x3840`   |

<ParamField body="quality" type="string" default="high">
  Image quality

  * `low` — fast and economical, suitable for drafts/previews
  * `medium` — balanced speed and quality
  * `high` — maximum detail, default value (4K + high can take 120s+)
</ParamField>

<ParamField body="output_format" type="string" default="png">
  Output format

  * `png` — default
  * `jpeg` — smaller file size (supports compression)

  <Note>Azure OpenAI does not support `webp` format.</Note>
</ParamField>

<ParamField body="output_compression" type="integer" default={100}>
  JPEG compression level, range `0–100` (`0` = no compression, `100` = maximum compression, default `100`)

  Only applies when `output_format` is `"jpeg"`
</ParamField>

<ParamField body="n" type="integer" default={1}>
  Number of images to generate

  Range: `1 ~ 10`
</ParamField>

<ParamField body="image_urls" type="string[]">
  Reference image URL array for image-to-image generation

  * Maximum **16 images**, must be publicly accessible stable URLs
  * Use the [Upload 이미지 API](../../uploads/images) to upload local files and get URLs
</ParamField>

<ParamField body="mask_url" type="string">
  Mask image URL for inpainting

  Must be used together with `image_urls`. The mask must match the dimensions of the first reference image and include an Alpha channel (transparent areas indicate regions to be repainted)
</ParamField>

## 응답

<ResponseField name="id" type="string">
  Unique task identifier for status queries
</ResponseField>

<ResponseField name="object" type="string">
  Object type, always `generation.task`
</ResponseField>

<ResponseField name="model" type="string">
  모델 name used
</ResponseField>

<ResponseField name="status" type="string">
  Task status

  * `queued` — waiting to be processed
  * `in_progress` — processing
  * `completed` — successfully completed
  * `failed` — failed
</ResponseField>

<ResponseField name="progress" type="integer">
  Task progress percentage (0-100)
</ResponseField>

<ResponseField name="created_at" type="integer">
  Task creation timestamp (Unix timestamp)
</ResponseField>

<RequestExample>
  ```bash Text-to-Image theme={null}
  curl --request POST \
    --url https://toapis.com/v1/images/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "gpt-image-2",
      "prompt": "Ancient castle under the starry sky, cinematic lighting, hyper-realistic style",
      "size": "16:9",
      "resolution": "2k",
      "quality": "high",
      "n": 1
    }'
  ```

  ```bash 4K Wallpaper theme={null}
  curl --request POST \
    --url https://toapis.com/v1/images/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "gpt-image-2",
      "prompt": "Snowy mountain sunrise panorama, extreme detail",
      "size": "16:9",
      "resolution": "4k",
      "quality": "high",
      "output_format": "jpeg",
      "output_compression": 90
    }'
  ```

  ```bash Image-to-Image theme={null}
  curl --request POST \
    --url https://toapis.com/v1/images/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "gpt-image-2",
      "prompt": "Merge these two reference images into an illustrated poster, preserving the subject outlines",
      "size": "1:1",
      "quality": "high",
      "image_urls": [
        "https://example.com/input-a.png",
        "https://example.com/input-b.png"
      ]
    }'
  ```

  ```bash Inpainting (Mask) theme={null}
  curl --request POST \
    --url https://toapis.com/v1/images/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "gpt-image-2",
      "prompt": "Replace the background with a desert sunset",
      "size": "1:1",
      "quality": "medium",
      "image_urls": ["https://example.com/photo.png"],
      "mask_url": "https://example.com/mask.png"
    }'
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://toapis.com/v1/images/generations', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer your-ToAPIs-key',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-image-2',
      prompt: 'Ancient castle under the starry sky, cinematic lighting, hyper-realistic style',
      size: '16:9',
      resolution: '2k',
      quality: 'high',
      n: 1
    })
  });

  const task = await response.json();
  console.log(task.id, task.status);
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "id": "tsk_img_01KPTXXXXXXXXXXXXXXX",
    "object": "generation.task",
    "model": "gpt-image-2",
    "status": "queued",
    "progress": 0,
    "created_at": 1703884800,
    "metadata": {}
  }
  ```
</ResponseExample>