This is a simplified guide to an AI model called Grok-Imagine-Image maintained by Xai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
grok-imagine-image
is xAI's state-of-the-art image generation and editing model, developed by xai. It accepts a text prompt and optional input image to generate or edit images across multiple aspect ratios. The model handles image-to-image transformations when a source image is provided, making it suitable for both pure generation and guided editing workflows. It supports standard image formats (JPG, JPEG, PNG, WebP) and outputs a single image URI. The critical advantage before using it is understanding that when an image is provided, the model prioritizes editing over generation—the aspect ratio parameter is ignored during image editing operations, and output dimensions depend on the input image dimensions rather than your specified aspect ratio preference.
Product photography enhancement and background replacement. When you need to modify existing product photos—changing backgrounds, adjusting lighting, or refreshing outdated product shots—grok-imagine-image
works well because it understands both the visual content and text instructions simultaneously. You supply a product photo and a prompt like "modern minimalist white background" or "luxury lifestyle setting," and it preserves the product while transforming the environment.
Creative direction iteration for marketing assets. Design teams and marketing departments benefit from rapid style exploration. Provide a base composition or mood board image with text prompts describing desired changes ("add warm sunset lighting," "make it look more premium," "apply cyberpunk aesthetic") to generate variations without starting from scratch each time.
Illustration and concept art refinement. Artists use the image-to-image capability to evolve sketches or rough compositions into finished work. Supply a sketch or rough layout and describe the desired artistic direction ("detailed oil painting style," "photorealistic with dramatic shadows," "anime character with expressive eyes") to maintain compositional intent while upgrading visual quality.
Interior design visualization. Designers and real estate professionals leverage it to show clients how spaces could look. Photograph a room and use prompts to demonstrate renovations ("convert to modern minimalist," "add warm wood tones and plants," "contemporary luxury aesthetic") without commissioning separate renderings.
Content adaptation across platforms. Creators regenerate images for different aspect ratios and platforms. Generate a 1:1 square image for Instagram, then the same concept in 16:9 for YouTube thumbnails or 9:16 for Stories by calling the model with different aspect_ratio
parameters during pure generation mode (without providing an input image).
The model ignores aspect ratio specifications when editing an existing image; the output dimensions are determined by the input image dimensions, not your aspect_ratio
parameter. This means you cannot resize edited images through the API—you must handle aspect ratio conversion externally or regenerate without an input image if you need specific dimensions.
Output quality depends heavily on prompt clarity and input image quality. Vague prompts produce unpredictable results, and low-resolution or heavily compressed input images limit the fidelity of edits. The model may struggle with highly specific technical requirements, precise text rendering within images, or maintaining exact object positioning during edits.
Supported input formats are limited to JPG, JPEG, PNG, and WebP. Other formats (TIFF, BMP, GIF) are not accepted. The model has no documented maximum file size, but extremely large images may timeout or consume excessive resources.
The model has no built-in safety filtering documentation, but as an xAI product, it likely has standard content policies. Outputs could potentially violate copyright or create problematic content if the prompt requests it.
Compared to grok-2-image, which has been deprecated as of February 24, 2026, this model is the active replacement and receives updates. If you are currently using the older model, migration is necessary.
** grok-2-image:** This older xAI model was deprecated on February 24, 2026, and
grok-imagine-image
is its direct successor. Use the current model for all new projects; the predecessor is no longer maintained and will not receive improvements.** grok-imagine-video:** This model generates videos from text prompts using xAI's video generation technology. Choose
grok-imagine-image
if you need still images with precise control over composition or styling; pick the video model if you need motion, temporal coherence, or animated content. The video model handles temporal continuity differently and is optimized for frame sequences rather than single-image quality.** grok-imagine-r2v:** This model generates videos guided by reference images, combining a still image template with video generation. Use
grok-imagine-image
for pure image editing or generation; use the R2V model if you want to create a video where a reference image controls composition and style while adding motion and temporal development.** grok-imagine-video-extension:** This specializes in extending existing videos with new frames based on prompts. If you have a video clip and want to extend it, use this model; if you only have a still image and want to generate a video, use
grok-imagine-video
instead. For image-only tasks, stick with grok-imagine-image
.** grok-4:** This is a reasoning and language model, not an image generation model. Use
grok-imagine-image
exclusively for visual content creation and editing; use Grok 4 for text-based reasoning, analysis, or conversation that informs creative decisions.grok-imagine-image
is a generative image model optimized for both text-to-image generation and image-to-image editing. The model runs on Replicate's infrastructure and was last updated on February 12, 2026 (Cog version 0.16.11). It generates single output images in URI format.
The model supports three aspect ratios for pure generation mode: 1:1 (square, the default), and two additional ratios specified in the schema enum. When editing an image, aspect ratio is ignored and the output maintains the input image's proportions. Input images must be in JPG, JPEG, PNG, or WebP format. The text prompt length and complexity are not documented, but standard language model practices suggest reasonable limits apply.
Key parameters:
No parameter count, training dataset size, inference time, or hardware requirements are documented in the available materials. The model outputs a single image URI regardless of input complexity.
import replicate
client = replicate.Client(api_token="your_replicate_api_token")
output = client.run(
"xai/grok-imagine-image",
input={
"prompt": "a serene mountain landscape at sunrise with golden light, photorealistic, highly detailed",
"aspect_ratio": "1:1"
}
)
print("Generated image:", output)
output = client.run(
"xai/grok-imagine-image",
input={
"prompt": "transform this room into a modern minimalist space with warm lighting and natural wood",
"image": "https://example.com/room.jpg",
"aspect_ratio": "1:1" # This will be ignored since an image is provided
}
)
print("Edited image:", output)
for ratio in ["1:1"]: # Add other supported ratios as needed
output = client.run(
"xai/grok-imagine-image",
input={
"prompt": "a cyberpunk cityscape with neon signs and rain",
"aspect_ratio": ratio
}
)
print(f"Generated {ratio} image:", output)
Q: Can I edit an image and specify its output dimensions?
A: No. When you provide an input image, the aspect_ratio
parameter is ignored and the output maintains the input image's original dimensions. To resize or change aspect ratios, regenerate without an input image using pure text-to-image generation.
Q: What image formats does the model accept?
A: The model accepts JPG, JPEG, PNG, and WebP formats. Other formats like TIFF, BMP, or GIF are not supported.
Q: Is grok-imagine-image still actively maintained?
A: Yes. It replaced the deprecated grok-2-image
model on February 24, 2026, and receives ongoing updates from xAI. The latest version was deployed February 12, 2026.
Q: How does this model differ from grok-2-image?
A: grok-imagine-image
is the official successor to grok-2-image
, which was deprecated by xAI on February 24, 2026. All new projects should use the current model for bug fixes, improvements, and ongoing support.
Q: Can I use this model to generate videos?
A: No. For video generation, use grok-imagine-video instead. This model generates single still images only. For video extension or frame-guided video generation, see grok-imagine-r2v and grok-imagine-video-extension.
Q: What happens if I provide both a prompt and an image?
A: The model enters image editing mode. It uses your prompt to guide modifications to the provided image while preserving the original image's structure, subject matter, and dimensions. The edited output reflects changes described in the prompt applied to the input image.
Q: Are there limits on prompt length or complexity?
A: No documented limits are provided, but standard language model constraints apply. Very long or extremely complex prompts may be truncated or produce unpredictable results; keep prompts clear and concise for consistent output.
Q: What aspect ratios does the model support?
A: The schema specifies a default of "1:1" (square). Additional supported ratios exist but are not listed in the available documentation; test your desired aspect ratio or refer to xAI's documentation for the full list.