
xAI: Grok Imagine Image Quality
Overview
What it is
Grok Imagine Image Quality is xAI's premium image generation and editing model, offered as "Quality mode" within the Grok Imagine product line. It's powered by xAI's most advanced image generation model, built to deliver enhanced details, stronger text rendering, and higher levels of creative control. It sits above the faster, standard Grok Imagine Image model in xAI's lineup — it's xAI's recommended higher-quality image model, effectively replacing a retiring "Pro" tier, while the standard Grok Imagine Image remains the faster, base-tier option.
Core capabilities
- Resolution & formats: Outputs are available at 1K and 2K resolution, with configurable aspect ratio and up to 10 images generated per request.
- Text-to-image and image editing: It supports both fresh image generation and editing of existing images — you can upload a photo and describe the changes you want (e.g., converting a photo into a stenciled street-art style or a pencil sketch).
- Photorealism: It trades a bit of speed for noticeably better output compared to the base model: more natural lighting, richer textures, more believable physics, and cleaner integration of real-world subjects.
- Named entity accuracy: Brands, public figures, specific locations, and even fictional worlds render with more accuracy than typical diffusion-based models — you can name a specific car model on a specific street in a specific city and get a faithful result.
- Text rendering: Text rendering is stronger than the standard model, making it useful for posters, social graphics, and any design that needs legible, clean typography.
- Scene coherence: Complex multi-element scenes hold together well — object relationships, occlusion, and scale stay consistent, which is a major reason it's worth the extra latency over the fast variant.
- Reference-image consistency: When given a reference image, the model preserves subject identity and structure — useful for product placement, brand-consistent variations, and maintaining a character's appearance across multiple generated scenes.
Pricing & access
- API pricing is a flat $0.05 per image, with image edits billed for both the input and output image.
- Accessible through xAI's API using the model identifier
grok-imagine-image-quality, via both a Python SDK and REST endpoints (e.g.,POST /v1/images/edits). - Quality Mode is live for enterprise developers and teams through the Grok Imagine API.
- It's also available directly to consumers on web and mobile through the Grok Imagine app.
Performance standing
xAI positions this model as ranking among the strongest performers on independent text-to-image leaderboards, such as the Text-to-Image Arena.
Best-fit use cases
- Marketing assets: posters, packaging mockups, ads, menus, social graphics
- Product renders that need to match exact brand visuals
- Hero images, icons, and ad variation sets generated at scale
- Iterative creative work — style remixes, multi-turn edits, chained refinements
A note worth flagging
Because this model is explicitly tuned for high-fidelity rendering of public figures and specific real-world subjects, that capability comes with the usual likeness and misuse considerations that apply to any hyper-realistic generator — something to keep in mind if your use case touches real people's images.
Usage example
curl https://www.namoclaw.ai/api/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "x-ai/grok-imagine-image-quality-20260512",
"messages": [{ "role": "user", "content": "Hello!" }]
}'Default parameters
| Name | Type | Default | Description |
|---|---|---|---|
| temperature | number | — | — |
| top_p | number | — | — |
| top_k | number | — | — |
| frequency_penalty | number | — | — |
| presence_penalty | number | — | — |
| repetition_penalty | number | — | — |
Tags
Reviews
Related articles
AI DevelopmentYour RAG Pipeline Is Burning Money. NVIDIA Just Found Out Why.
NVIDIA's Nemotron 3 Embed model tops the RTEB leaderboard, but the real breakthrough is that superior retrieval quality directly slashes LLM token consumption and cost in agentic workflows.
AI ModelsBeyond the Benchmark War: Navigating the Era of Kimi 3, Fable 5, and GPT-5.6
Moving past the 'who wins' mentality, this analysis explores how the distinct architectural strengths of Kimi 3, Fable 5, and GPT-5.6 redefine AI integration and operational workflows.
AI Models5 Agentic Micro‑Products You Can Ship This Weekend with Kimi K3
A hands‑on guide to building five tiny, self‑directed AI services on Kimi K3 in a single weekend — complete with architecture sketches, config snippets, and deployment checklists.

No reviews yet — be the first to share your experience.