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Grok Imagine Image Edit API

xai/grok-imagine/image/edit

Edit one to three reference images with a text instruction, preserving the original composition and returning the modified image.

edit
0.022
OpenAPI

Model Input

Input

Text description of the desired edit.

  • https://media.modelrunner.ai/GFV6RD3TzE99dFLCJhYbk.jpeg

List of URLs of the images to edit. A maximum of 3 images are supported.

Additional Settings

Customize your input with more control.

Min: 1 - Max: 4

The number of images to generate. Each generated image is billed.

Aspect ratio of the edited image. When set to `auto` (the default), the output preserves the aspect ratio of the first input image.

Output resolution tier: 1k (standard) or 2k (high resolution).

The image file format of the output.

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Model Output

Output

Generated image output
Generated in 9.681 seconds
Logs (1 lines)

Model Example Requests

Examples

Example output 1Example output 2Example output 3Example output 4

Grok Imagine Image Edit API

Grok Imagine Image Edit is a image-to-image AI model by xai. On ModelRunner it runs through a REST API or via MCP from any AI assistant, at $0.022 per image.

POST https://queue.modelrunner.run/xai/grok-imagine/image/edit

cURL

# Submit a request to the queue
curl -X POST https://queue.modelrunner.run/xai/grok-imagine/image/edit \
  -H "Authorization: Key $MRUN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "add a tall glass vase of fresh sunflowers beside the fruit bowl, keep the bright morning kitchen light",
      "image_urls": [
        "https://media.modelrunner.ai/GFV6RD3TzE99dFLCJhYbk.jpeg"
      ],
      "num_images": 1,
      "resolution": "1k",
      "aspect_ratio": "auto",
      "output_format": "jpeg"
    }
  }'
# → { "request_id": "...", "status_url": "...", "response_url": "..." }

# Poll status_url until "COMPLETED", then fetch the result
curl "https://queue.modelrunner.run/xai/grok-imagine/image/edit/requests/$REQUEST_ID/status" \
  -H "Authorization: Key $MRUN_API_KEY"
curl "https://queue.modelrunner.run/xai/grok-imagine/image/edit/requests/$REQUEST_ID" \
  -H "Authorization: Key $MRUN_API_KEY"

JavaScript

import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("xai/grok-imagine/image/edit", {
  input: {
    "prompt": "add a tall glass vase of fresh sunflowers beside the fruit bowl, keep the bright morning kitchen light",
    "image_urls": [
      "https://media.modelrunner.ai/GFV6RD3TzE99dFLCJhYbk.jpeg"
    ],
    "num_images": 1,
    "resolution": "1k",
    "aspect_ratio": "auto",
    "output_format": "jpeg"
  },
});
console.log(result);

Python

import os
import requests

headers = {"Authorization": f"Key {os.environ['MRUN_API_KEY']}"}

submitted = requests.post(
    "https://queue.modelrunner.run/xai/grok-imagine/image/edit",
    headers=headers,
    json={"input": {
      "prompt": "add a tall glass vase of fresh sunflowers beside the fruit bowl, keep the bright morning kitchen light",
      "image_urls": [
        "https://media.modelrunner.ai/GFV6RD3TzE99dFLCJhYbk.jpeg"
      ],
      "num_images": 1,
      "resolution": "1k",
      "aspect_ratio": "auto",
      "output_format": "jpeg"
    }},
).json()

# Poll submitted["status_url"] until "COMPLETED", then:
result = requests.get(submitted["response_url"], headers=headers).json()

Input parameters

NameTypeRequiredDescription
promptstringyesText description of the desired edit.
image_urlsarrayyesList of URLs of the images to edit. A maximum of 3 images are supported.
num_imagesintegernoThe number of images to generate. Each generated image is billed. Default: 1.
aspect_ratioenumnoAspect ratio of the edited image. When set to `auto` (the default), the output preserves the aspect ratio of the first input image. Default: "auto".
resolutionenumnoOutput resolution tier: 1k (standard) or 2k (high resolution). Default: "1k".
output_formatenumnoThe image file format of the output. Default: "jpeg".

Machine-readable: OpenAPI schema · llms.txt

Use Grok Imagine Image Edit from Claude & Cursor (MCP)

Point Claude Code, Claude Desktop, Cursor, or any MCP client at the ModelRunner MCP server and Grok Imagine Image Edit becomes a tool your assistant can call directly — it authorizes via OAuth (no API key in config) and runs this model with the run_model tool using the endpoint xai/grok-imagine/image/edit.

MCP client config (Claude Desktop, Cursor)

{
  "mcpServers": {
    "modelrunner": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.modelrunner.run/mcp"]
    }
  }
}

Claude Code

claude mcp add --transport http modelrunner https://mcp.modelrunner.run/mcp

Then ask your assistant, for example: “Run xai/grok-imagine/image/edit on ModelRunner to generate image”. MCP setup guide.

Model Details

Model Details

Grok Imagine Image Edit modifies existing images from a text instruction. Provide up to three reference images (`image_urls`) and describe the change you want in `prompt` — add or remove an object, restyle, adjust lighting or color, change the setting — and it returns the edited image. By default (`aspect_ratio: "auto"`) the output keeps the first input image's aspect ratio, so the result stays faithful to the original framing. It handles photorealistic and stylized edits, follows detailed multi-part instructions, and can return one to four variations of the edit in a single request.

## Best for - Editing an existing photo from a written instruction (add, remove, or replace an object) - Restyling or re-lighting an image while keeping its composition and subject - Adjusting colors, backgrounds, or details on product and marketing images - Combining or harmonizing up to three reference images into one edited result - Producing several edit variations of the same source in one request (`num_images` up to 4)

## Choose another model when - You want to create an image from scratch with no reference to edit — use a text-to-image model - You need pixel-precise masked inpainting driven by an explicit mask region — use a mask-based inpainting model - You need to animate the image into motion — use an image-to-video model - You need vector/SVG output rather than a raster image — use a vectorization model

## Tips - At least one image in `image_urls` is required; a call with no reference image is rejected - Describe only the change you want in `prompt` — you don't need to re-describe the whole scene - Leave `aspect_ratio` at `auto` to preserve the first input image's framing; set an explicit ratio (e.g. `16:9`, `9:16`, `1:1`) only when you want to reframe - Set `resolution` to `2k` when you need extra detail for print or large displays; `1k` is the faster standard tier - Raise `num_images` to compare several edit variations at once — each generated image is billed

## Advanced Configuration - `image_urls` accepts up to 3 reference image URLs; the first image anchors the aspect ratio when `aspect_ratio` is `auto`. - `output_format` selects the file type: `jpeg` (default, smallest), `png` (lossless), or `webp` (compact with transparency support).

To run via the ModelRunner JavaScript client: ```js import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("xai/grok-imagine/image/edit", { input: { prompt: "add a small red knitted bandana around the dog's neck", image_urls: ["https://media.modelrunner.ai/BDA9CryQ9f2lcm5ldQ16Y.jpeg"], aspect_ratio: "auto", resolution: "1k", num_images: 1, }, }); ```