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

# Image Generation

> Generate images from text prompts using the OpenAI-compatible images API.

DeepInfra supports the OpenAI-compatible image generation API. The default model is FLUX Schnell.

The endpoint is:

```
POST https://api.deepinfra.com/v1/openai/images/generations
```

Browse [all text-to-image models](https://deepinfra.com/models/text-to-image).

## Example

<CodeGroup>
  ```python Python theme={null}
  import io
  import base64
  from PIL import Image
  from openai import OpenAI

  client = OpenAI(
      api_key="$DEEPINFRA_TOKEN",
      base_url="https://api.deepinfra.com/v1/openai"
  )

  response = client.images.generate(
      prompt="A photo of an astronaut riding a horse on Mars.",
      size="1024x1024",
      n=1,
  )

  b64_json = response.data[0].b64_json
  image_bytes = base64.b64decode(b64_json)
  image = Image.open(io.BytesIO(image_bytes))
  image.save("output.png")
  ```

  ```javascript JavaScript theme={null}
  import * as fs from "fs";
  import OpenAI from "openai";

  const openai = new OpenAI({
    baseURL: "https://api.deepinfra.com/v1/openai",
    apiKey: "$DEEPINFRA_TOKEN",
  });

  const response = await openai.images.generate({
    prompt: "A photo of an astronaut riding a horse on Mars.",
    size: "1024x1024",
    n: 1,
  });

  const b64Json = response.data[0].b64_json;
  const imageBuffer = Buffer.from(b64Json, "base64");
  fs.writeFileSync("output.png", imageBuffer);
  ```

  ```bash cURL theme={null}
  curl "https://api.deepinfra.com/v1/openai/images/generations" \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -d '{
      "prompt": "A photo of an astronaut riding a horse on Mars.",
      "size": "1024x1024",
      "n": 1
    }'
  ```
</CodeGroup>

## Supported parameters

| Parameter          | Notes                                  |
| ------------------ | -------------------------------------- |
| `prompt`           | Text description of the image          |
| `model`            | Defaults to FLUX Schnell               |
| `size`             | Image dimensions (e.g., `"1024x1024"`) |
| `n`                | Number of images to generate           |
| `response_format`  | Only `b64_json` supported              |
| `quality`, `style` | Available for compatibility only       |

## LoRA image adapters

You can also use custom LoRA adapters for image generation — see [LoRA for Image Generation](/private-models/lora-image).

## Tutorial

For a deeper example including advanced options, see the [Stable Diffusion tutorial](/tutorials/stable-diffusion).