# Grok Imagine Image 2.0 Edit — Atlas Cloud API

> xAI Grok Imagine Image 2.0 edits up to three reference images with natural-language instructions at 1K or 2K resolution, with selectable low/medium quality tiers.

This is the machine-readable API reference for **Grok Imagine Image 2.0 Edit** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `xai/grok-imagine-image-2.0/edit`
- **Built by**: xAI
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/xai/grok-imagine-image-2.0/edit
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.04 per image
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_image` with `model: "xai/grok-imagine-image-2.0/edit"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate image xai/grok-imagine-image-2.0/edit -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `xai/grok-imagine-image-2.0/edit`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"xai/grok-imagine-image-2.0/edit"`

- **`prompt`** (`string`, _required_):
  Editing instruction describing the change to apply. When supplying multiple source images, cite them as <IMAGE_0>, <IMAGE_1>, <IMAGE_2>. Up to 8000 characters.
  - Default: `"Render this as a pencil sketch with detailed shading."`

- **`image_urls`** (`array[string]`, _required_):
  Source images. Up to 3 are supported. Each entry is either a public URL or a base64-encoded data URI (e.g. `data:image/png;base64,...`). Each input image is billed at $0.01. The output aspect ratio follows the first input image unless `aspect_ratio` is set explicitly.
  - Min items: 1
  - Max items: 3

- **`num_images`** (`integer`, _optional_):
  Number of edited images to generate. Each output image is billed separately.
  - Default: `1`
  - Options: 1, 2, 3, 4

- **`aspect_ratio`** (`string`, _optional_):
  Aspect ratio of the edited image. The output generally respects the source image's aspect ratio regardless of this value. `auto` lets the model pick.
  - Default: `"auto"`
  - Options: "auto", "1:1", "3:4", "4:3", "9:16", "16:9", "2:3", "3:2", "9:19.5", "19.5:9", "9:20", "20:9", "1:2", "2:1"

- **`resolution`** (`string`, _optional_):
  Output resolution. 1k = 1024x1024, 2k = 2048x2048. Combined with `quality` this sets the per-image price: low/1k $0.04, low/2k $0.06, medium/1k $0.06, medium/2k $0.08.
  - Default: `"1k"`
  - Options: "1k", "2k"

- **`quality`** (`string`, _optional_):
  Rendering quality tier. `low` is cheaper and roughly 8x faster (~10s vs ~84s at 1K); `medium` is the default and produces the model's best output. Per-image price: low/1k $0.04, low/2k $0.06, medium/1k $0.06, medium/2k $0.08.
  - Default: `"medium"`
  - Options: "low", "medium"

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "xai/grok-imagine-image-2.0/edit",
  "prompt": "Render this as a pencil sketch with detailed shading.",
  "image_urls": [
    ""
  ]
}
```


**Full Example**:

```json
{
  "model": "xai/grok-imagine-image-2.0/edit",
  "prompt": "Render this as a pencil sketch with detailed shading.",
  "image_urls": [
    ""
  ],
  "num_images": 1,
  "aspect_ratio": "auto",
  "resolution": "1k",
  "quality": "medium",
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the edited images (empty when status is not completed).

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.



**Example Response**:

```json
{
  "id": "",
  "urls": {},
  "model": "",
  "status": "",
  "outputs": [
    ""
  ],
  "created_at": ""
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "xai/grok-imagine-image-2.0/edit",
  "prompt": "Render this as a pencil sketch with detailed shading.",
  "image_urls": [
    ""
  ],
  "num_images": 1,
  "aspect_ratio": "auto",
  "resolution": "1k",
  "quality": "medium",
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/xai/grok-imagine-image-2.0/edit)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### 1. Introduction

**Grok Imagine Image 2.0** is xAI's image generation and editing model, released on August 7, 2026 and positioned around a single goal: producing images that hold up in real creative work rather than as one-off novelties. This README applies to the following API model identifiers:

- `xai/grok-imagine-image-2.0/text-to-image`
- `xai/grok-imagine-image-2.0/edit`

Developed by xAI as the successor to Grok Imagine Image Quality, Image 2.0 shipped first as the new Quality Mode on grok.com/imagine and the Grok iOS and Android apps, with general API availability following shortly after. Per the [official announcement](https://x.ai/news/grok-imagine-image-2), the model was built to follow instructions closely down to fine detail, to plan typography and layout the way a designer would so that dense multi-part visuals hold together and small text stays sharp, and to preserve what the user supplies across successive generations and edits.

The model is exposed through two API variants that share the same underlying weights and differ only in input schema and conditioning path. The `xai/grok-imagine-image-2.0/text-to-image` variant produces images from a text prompt alone. The `xai/grok-imagine-image-2.0/edit` variant applies prompt-driven modifications to between one and three supplied source images. xAI describes editing as a first-class capability of 2.0 rather than a bolt-on, and the model's Arena standing in image editing is marginally stronger than its standing in pure text-to-image.

---

#### 2. Key Features & Innovations

- **Designer-Style Typography and Layout Planning**: xAI's central claim for 2.0 is that it plans typography and layout rather than treating text as texture. Dense, multi-part compositions — infographics, posters, itineraries, annotated diagrams, title screens — are intended to remain internally coherent with small type staying legible, historically the weakest area of generative image models.

_(Description truncated. Full text on the model page.)_

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/xai/grok-imagine-image-2.0/edit · Docs: https://www.atlascloud.ai/docs