XAI | Grok | Imagine | 2.0 | Image Edit image preview

Example inputhover

prompt: "Transform this photo into a split "half real, half illustrated" artwork: keep the LEFT half of the image completely untouched — the original photograph, the person's real face, hair, skin and clothing exactly as they are. Convert ONLY the RIGHT half into a bold hand-drawn digital illustration of the same person: thick black outlines, flat warm painterly colors with visible brush and crosshatch texture, slightly stylized cartoon features (expressive eyes with bold lashes, simplified lips, rosy hatched cheek blush), the same hairstyle redrawn as flowing illustrated waves, the same clothing redrawn in flat colors with simple shading. The two halves are divided by a single sweeping curved black line running from the top of the head down through the face and body — the split passes through the middle of the face so one eye is real and one eye is illustrated. Both halves align perfectly: same pose, same proportions, same features, reading as one continuous person. Clean white background behind the illustrated side. Preserve the person's identity, likeness and expression on both sides."
quality: "medium"
image_url
num_images: 1
resolution: "2k"
aspect_ratio: "1:1"
output_format: "jpeg"

XAI | Grok | Imagine | 2.0 | Image Edit

Image·grok-imagine·by xAI

Edit source images with xAI Grok Imagine Image 2.0 using prompt-guided controls for aspect ratio, resolution, quality, and output count.

Try it now →

API reference

Runtime (p50): 1m
Estimated price: $0

Call the API

prediction.sh

curl -X POST \
  -H "Authorization: Bearer $EACHLABS_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
    "model": "xai-grok-imagine-2-0-image-edit",
    "version": "0.0.1",
    "input": {
        "prompt": "Transform this photo into a split \"half real, half illustrated\" artwork: keep the LEFT half of the image completely untouched — the original photograph, the person's real face, hair, skin and clothing exactly as they are. Convert ONLY the RIGHT half into a bold hand-drawn digital illustration of the same person: thick black outlines, flat warm painterly colors with visible brush and crosshatch texture, slightly stylized cartoon features (expressive eyes with bold lashes, simplified lips, rosy hatched cheek blush), the same hairstyle redrawn as flowing illustrated waves, the same clothing redrawn in flat colors with simple shading. The two halves are divided by a single sweeping curved black line running from the top of the head down through the face and body — the split passes through the middle of the face so one eye is real and one eye is illustrated. Both halves align perfectly: same pose, same proportions, same features, reading as one continuous person. Clean white background behind the illustrated side. Preserve the person's identity, likeness and expression on both sides.",
        "quality": "medium",
        "image_url": "https://cdn-us.eachlabs.ai/defaults/466d1ff0552e407dabc4d6ea1344617c.png",
        "num_images": 1,
        "resolution": "2k",
        "aspect_ratio": "1:1",
        "output_format": "jpeg"
    },
    "webhook_url": ""
}' \
  https://api.eachlabs.ai/v1/prediction/

Documentation8 sections

Overview
XAI | Grok | Imagine | 2.0 | Image Edit Overview

XAI | Grok | Imagine | 2.0 | Image Edit is xAI’s image-editing model for changing an existing image with prompt-guided control while preserving the rest of the frame. It is built for workflows where creators need region-specific edits, smart resizing, background removal, and multi-reference composition without manual compositing. The main differentiator is its editing-first design: instead of treating image generation as a one-shot output, the model focuses on precise, localized changes and composition-aware transforms. In xAI’s Imagine family, Image 2.0 is positioned as the quality-oriented image mode with tools such as Magic Wand, Segmentation, and Smart Resize.
Capabilities
Capabilities
- Performs region-specific image edits so only the selected area changes.
- Supports Segmentation for more precise subject or object isolation.
- Provides background removal for transparent cutouts and compositing.
- Uses Smart Resize to adapt one image across multiple aspect ratios while filling new space intelligently.
- Accepts multiple reference images to guide style transfer, product composition, or character consistency.
- Handles prompt-guided editing for localized changes, not just full-image regeneration.
- Supports quality-oriented image generation in the Grok Imagine family, with 1K and 2K presets reported for the image tier.
Use cases
Use Cases for XAI | Grok | Imagine | 2.0 | Image Edit

Creators can use XAI | Grok | Imagine | 2.0 | Image Edit to clean up portraits or thumbnails without re-shooting the entire image. A prompt like, "Brighten the face only, keep the background soft and unchanged," aligns with region-level editing.

Marketers can use Smart Resize to turn one campaign image into multiple ad formats. A prompt like, "Recompose this square product shot into a vertical banner and preserve the product placement," fits the model’s layout-aware editing.

Designers can remove backgrounds and prepare cutouts for mockups, composites, or UI assets. A prompt like, "Remove the background and keep clean edges for a transparent export," matches the model’s background-removal workflow.

Developers integrating the XAI | Grok | Imagine | 2.0 | Image Edit API can build multi-reference pipelines for consistency across product sets. A prompt like, "Use these reference images to keep the same character style across all outputs," reflects the model’s multi-image editing behavior.
Tips & tricks
Tips and Tricks

For best results with XAI | Grok | Imagine | 2.0 | Image Edit, describe the change, the target area, and the parts that must stay untouched. When possible, use region-based tools such as Magic Wand or Segmentation for edits that should not affect the entire image. Use Smart Resize when you need to convert a composition from one layout to another, because the model is designed to fill expanded areas rather than simply crop them.

Example prompts:
- "Replace the product box with matte black packaging, keep the lighting and background unchanged."
- "Remove the background and isolate the subject with transparent edges for a clean e-commerce cutout."
- "Recompose this horizontal banner into a vertical ad while preserving the main subject and brand colors."
For multi-reference workflows, keep reference images visually consistent so the model can better merge style, subject, and layout cues.
Technical spec
Technical Specifications
- Model type: image-edit / image-to-image within the xAI Grok Imagine family.
- Inputs: text prompt plus one or more reference images; sources describe support for multi-reference editing, with up to five images in consumer workflows and up to three in some API-oriented descriptions.
- Aspect ratios: Smart Resize supports nine presets spanning 1:2 to 2:1, and some documentation also describes a broader set of preset ratios in the image-quality tier.
- Resolution: published reporting describes 1K and 2K image presets for the Imagine image family.
- Output: edited still images with optional background transparency when using background removal.
- Processing time: no official average generation time was published in the provided sources.
Things to be aware of
Things to Be Aware Of

XAI | Grok | Imagine | 2.0 | Image Edit works best with clear targets and well-defined source images. If the prompt is too broad, the model may change areas you wanted to preserve or produce uneven edits across complex scenes. Multi-reference workflows also require careful selection, because inconsistent references can pull the output in different directions. Some published details vary by surface and documentation set, especially around reference-image limits and ratio presets, so API users should verify the exact constraints in their implementation context.
Key considerations
Key Considerations

XAI | Grok | Imagine | 2.0 | Image Edit is strongest when you already have a source image and want controlled edits rather than a fully new scene. It is especially useful for product photography, marketing assets, character consistency, and layout changes that need the original composition preserved. The model’s most important requirement is a clear source image plus a precise prompt; vague instructions are less effective than targeted directions tied to a region or object. For teams using the XAI | Grok | Imagine | 2.0 | Image Edit API, it is best suited to workflows that value local edits, background removal, and aspect-ratio adaptation over open-ended creative exploration.
Limitations
Limitations

The provided sources do not publish a reliable average processing time, and they do not confirm a single universal API limit for every deployment of XAI | Grok | Imagine | 2.0 | Image Edit. Public reporting also suggests that some capabilities are exposed differently across app and API surfaces, so feature availability may vary. The model is optimized for still-image editing, not for video generation, and it is not documented here as a general-purpose text-only image understanding system.