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

# Imagen 4

> Google Imagen 4 image generation model, called through the Gemini API

> Дата обновления: 2026-06-06

# Imagen 4

Google Imagen 4 is a professional image generation model, called through the Gemini API endpoint.

<Warning>
  Imagen 4 is currently in development. Features and availability may change.
</Warning>

```
POST /v1beta/models/imagen-4:generateContent
```

***

## Basic Usage

<CodeGroup>
  ```bash cURL theme={null}
  curl "https://api.crazyrouter.com/v1beta/models/imagen-4:generateContent?key=YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "contents": [
        {
          "role": "user",
          "parts": [
            {"text": "A golden Labrador retriever running on a sunny meadow, photographic quality, shallow depth of field"}
          ]
        }
      ],
      "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageGenerationConfig": {
          "numberOfImages": 1,
          "aspectRatio": "16:9"
        }
      }
    }'
  ```

  ```python Python theme={null}
  import google.generativeai as genai
  import base64

  genai.configure(
      api_key="YOUR_API_KEY",
      transport="rest",
      client_options={"api_endpoint": "https://api.crazyrouter.com"}
  )

  model = genai.GenerativeModel("imagen-4")

  response = model.generate_content(
      "A golden Labrador retriever running on a sunny meadow, photographic quality",
      generation_config=genai.GenerationConfig(
          response_modalities=["IMAGE"],
          image_generation_config={
              "number_of_images": 1,
              "aspect_ratio": "16:9"
          }
      )
  )

  for part in response.candidates[0].content.parts:
      if hasattr(part, "inline_data"):
          with open("imagen_output.png", "wb") as f:
              f.write(base64.b64decode(part.inline_data.data))
          print("Image saved")
  ```
</CodeGroup>

### Response Format

```json theme={null}
{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "inlineData": {
              "mimeType": "image/png",
              "data": "iVBORw0KGgoAAAANSUhEUg..."
            }
          }
        ],
        "role": "model"
      },
      "finishReason": "STOP"
    }
  ]
}
```

***

## Parameter Description

### imageGenerationConfig

| Parameter        | Type    | Description                                       |
| ---------------- | ------- | ------------------------------------------------- |
| `numberOfImages` | integer | Number of images to generate, 1-4                 |
| `aspectRatio`    | string  | Aspect ratio: `1:1`, `16:9`, `9:16`, `4:3`, `3:4` |

***

## Batch Generation

```json theme={null}
{
  "generationConfig": {
    "responseModalities": ["IMAGE"],
    "imageGenerationConfig": {
      "numberOfImages": 4,
      "aspectRatio": "1:1"
    }
  }
}
```

<Note>
  Imagen 4 is a pure image generation model, so `responseModalities` should be set to `["IMAGE"]`. If you need text descriptions alongside images, use the Gemini image generation model instead.
</Note>

<Note>
  For Imagen 4 prompts, it is recommended to use detailed descriptive language including style, lighting, composition, and other details for better generation results.
</Note>