# Grok Imagine Image 2.0

> Run Grok Imagine Image 2.0 by xai online or via API. $0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits), no setup.

**URL:** https://inference.sh/apps/xai/grok-imagine-image-2-0
**Last updated:** 2026-11-06

---

Generate and edit images with xAI's Grok Imagine Image 2.0. Text-to-image or editing with up to 5 source images, low or medium quality, 1K or 2K output.

- app: `xai/grok-imagine-image-2-0`
- maker: [xai](https://inference.sh/apps/xai.md)
- category: [image](https://inference.sh/apps/category/image.md)
- input → output: text → image, image → image
- tasks: [text to image](https://inference.sh/apps/tag/text-to-image.md), [image to image](https://inference.sh/apps/tag/image-to-image.md), [image editing](https://inference.sh/apps/tag/image-editing.md)
- price: $0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits)
- runs via: api, javascript and python sdk, belt cli, mcp

## grok-imagine-image-2-0 API Guide

### About
generate and edit images with xai's grok imagine image 2.0. text-to-image or editing with up to 5 source images, low or medium quality, 1k or 2k output.

### Get an API Key
Create one in [settings → api keys](https://app.inference.sh/settings/keys). The examples read it from `INFERENCE_API_KEY`.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Run and Get Result
Submit a request and wait for the final result.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @2erjgfq7 pinned
result = client.run({
        "app": "xai/grok-imagine-image-2-0@2erjgfq7",
        "input": {
            "prompt": "A watercolor painting of a lighthouse at dawn"
        }
    })

print(result["output"])
```

#### Stream Live Updates
Get real-time progress updates as the task runs.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @2erjgfq7 pinned
## stream=True yields updates as they arrive
for update in client.run({
        "app": "xai/grok-imagine-image-2-0@2erjgfq7",
        "input": {
            "prompt": "A watercolor painting of a lighthouse at dawn"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

#### Run in the Background
Start the task and get its id back right away, then check on it with `GET /tasks/{id}`. It is done when `status` is 10 (completed), 11 (failed) or 12 (cancelled).

```python
import os
from inferencesh import inference, TaskStatus

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## returns as soon as the task is created
task = client.run({
        "app": "xai/grok-imagine-image-2-0@2erjgfq7",
        "input": {
            "prompt": "A watercolor painting of a lighthouse at dawn"
        }
    }, wait=False)

## later: read its current state
state = client.tasks.get(task["id"]).data
if state["status"] == TaskStatus.COMPLETED:
    print(state["output"])
```

### 2. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "xai/grok-imagine-image-2-0@2erjgfq7",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 3. Schema

#### Input
- **prompt** (string) *required*: What to generate, or how to change the source images. With several source images, refer to them as <IMAGE_0>, <IMAGE_1>, ... in the order given.
- **images** (array): Source images to edit (up to 5, JPEG/PNG/WebP). Leave empty to generate from the prompt alone.
- **quality** (string): 'low' is fast and cheaper; 'medium' spends more compute per image for finer detail.
- **resolution** (string): Output resolution. Price per image: low 1k $0.04, low 2k $0.06, medium 1k $0.06, medium 2k $0.08.
- **aspect_ratio** (string): Aspect ratio of the output. 'auto' lets the model choose; when editing it follows the first source image.
- **n** (integer): Number of images to generate (1-10).

#### Output
- **images** (array): The generated images. Excludes images withheld by xAI content moderation.
- **moderated_count** (integer): Number of generated images withheld by xAI content moderation.
- **notice** (string): Set when xAI content moderation withheld some or all images.

## other image apps

- [GPT Image 2.6 Flare](https://inference.sh/apps/openai/gpt-image-2-6-flare.md): $30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG output
- [GPT Image 2.6 Sunburst](https://inference.sh/apps/openai/gpt-image-2-6-sunburst.md): $30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out
- [Gemini Nano Banana 2.1](https://inference.sh/apps/google/gemini-nano-banana-2-1.md): $1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search
- [GPT Image 2.5 Sunburst](https://inference.sh/apps/openai/gpt-image-2-5-sunburst.md): $0.006-$0.21 per 1024x1024 image: low $0.006, medium $0.013, high $0.053, xhigh $0.094, max $0.21. Larger sizes cost more; edits add ~$0.008 per reference image.
- [GPT Image 2.5 Flare](https://inference.sh/apps/openai/gpt-image-2-5-flare.md): $0.006-$0.21/image at 1024x1024: low $0.0059, medium $0.0132, high $0.0527, xhigh $0.0937, max $0.2107. Larger sizes cost more; edits add ~$0.0083 per reference image.

## faq

### how much does Grok Imagine Image 2.0 cost?

$0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits). you pay per run from your inference shell credits. no subscription is required.

### how do I run Grok Imagine Image 2.0 via api?

call xai/grok-imagine-image-2-0 with the javascript or python sdk, the rest api, or `belt app run xai/grok-imagine-image-2-0` from a terminal. the api reference on this page lists every input.

### who makes Grok Imagine Image 2.0?

Grok Imagine Image 2.0 is made by xai and runs on inference shell. every xai app is listed at https://inference.sh/apps/xai.

### can my agent use Grok Imagine Image 2.0?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to Grok Imagine Image 2.0?

other image apps on inference shell include GPT Image 2.6 Flare, GPT Image 2.6 Sunburst, Gemini Nano Banana 2.1, GPT Image 2.5 Sunburst. they run through the same api, so switching is a one-line change.