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Models/xai/image · text-to-imagePass-through

Grok Imagine Image

Grok Imagine Image favors distinctive, expressive concepts and quick exploration for social visuals, characters, and concept art. MachGen exposes text-to-image only at 1K or 2K in 16:9, 9:16, 1:1, or 4:3.

Current MachGen support
Text to Image1024p / 2048p
Starting at $0.02 / image
All supported sizes$0.02/image
Live public pricebookSee full pricebook
Overview

Grok Imagine Image

Grok Imagine Image is xAI's fast, low-cost text-to-image model for distinctive stills with a bold interpretive style. It favors expressive concepts and quick exploration over ultra-rigid technical framing.

Ideal for concept art, moodboards, and early visual brainstorming inside the same MachGen catalog as Grok video models.

Model guide

Why choose Grok Imagine Image

Key strengths

  • Fast, low-cost image generation with a bold and expressive visual interpretation.
  • Useful for exploring a large creative space before selecting a direction.
  • Multiple aspect ratios support social, portrait, square, and landscape concepts.

Good fit for

  • Concept art, moodboards, social graphics, characters, and playful visual ideas.
  • Fast comparison of themes, palettes, and compositions.
  • Early-stage work where personality matters more than rigid product accuracy.
Supported on MachGen

Inputs and output settings

This table reflects the model routes and controls currently exposed by MachGen.

ModeRequired inputAvailable settings
Text to ImageText promptResolution: 1024p, 2048p
Aspect ratio: 16:9, 9:16, 1:1, 4:3
Workflow

Using Grok Imagine Image

  1. Choose a supported generation mode in Playground.
  2. Add the required prompt and source or reference assets.
  3. Select output settings from the controls shown for that mode.
  4. Generate, then inspect the returned asset before reusing the settings through the API.

Practical guidance

  • Describe the subject, action or composition, environment, and visual direction in a clear order.
Capabilities

What you can make

Text to image

Describe a scene or character and get stylized stills quickly for ideation and social drafts.

Look and feel

Leans aesthetic and interpretive - steer explicitly when you need photoreal product accuracy instead of a bold read.

Prompting

Prompting notes

  • Lead with subject and mood; add camera and lighting when you need more control.
  • Say "photoreal product photo" when accuracy matters more than stylization.
  • Keep one main idea per prompt for cleaner results.
Best results

How to get better Grok Imagine Image results

  • Lead with the main subject and visual hook, then add mood, palette, and composition.
  • Ask explicitly for product photography or restrained realism when you do not want a stylized result.
  • Keep one central idea per prompt and generate variations around it.
  • Choose the final aspect ratio before refining small composition details.
Limits

Limits and availability

  • MachGen admits only the modes and settings listed above for this catalog model.
  • Source assets must finish uploading before a request can be submitted.
  • Generated results can vary between requests, including when the same prompt and settings are reused.
  • Grok Imagine Image is pass-through. MachGen sends the request through its upstream provider integration and returns the generated asset.
Learn more

Learn more

For model background, technical details, and architecture, see the official xAI image generation guide.

Try this model in the MachGen Playground.

Official documentation may describe capabilities or parameters that are not currently exposed by MachGen. Use the Inputs and output settings section above as the source of truth for this page.

Pricing

Grok Imagine Image pricing

See Pricing for currently published MachGen rates. When available, the Playground estimate reflects the selected task and output settings.

On MachGen

Grok Imagine Image on MachGen

Deployment: Pass-through. Grok Imagine Image is pass-through. MachGen sends the request through its upstream provider integration and returns the generated asset.

The Playground and API sections on this page list the inputs and output settings exposed for this model.