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AI image model
xAI
Grok Imagine

Grok Imagine

Grok Imagine on Kyeo AI covers both text-to-image and one-image editing. A request without an upload uses text-to-image mode; attaching one image switches to one-image editing mode. Text-to-image returns 2 images for 4 credits in standard mode or 4 images for 5 credits in quality mode, while editing costs 4 credits per image and does not show that switch.

Capabilities
Text-to-image, image-to-image
Credit cost
4–5 credits per request
Prompt limit
5,000 characters
Upload limit
1 image
30-second overview
  • No upload uses text-to-image; attaching an image automatically switches to the one-image editing mode.
  • Text-to-image with `enable_pro=false/true` returns 2 images for 4 credits or 4 images for 5 credits; image-to-image costs 4 credits per image.
  • The editing mode accepts one JPG, PNG, or WebP image, currently limited to 10 MB.
  • Content check: Default: off.

Popular searches: how do I generate with Grok Imagine on Kyeo AI · what happens when I submit only a prompt to Grok Imagine · which Grok Imagine mode runs after I attach an image

Examples

Visual concept

Visual concept

Use the uploaded face photo as the primary facial reference and the uploaded T-shirt photo as the primary clothing reference. Preserve the person’s facial identity exactly, including face shape, skin tone, hairstyle, natural expression, and all distinctive facial features. Also preserve the T-shirt design exactly as shown in the reference, without changing its color, pattern, logo, print, or any other details. Create a hyper-realistic illustration inspired by the attached reference image. A grown man stands on the left and a grown woman stands on the right. In front of them are adorable 3D chibi versions of each character. The two chibi characters are shaking hands while making funny “arguing” expressions—furrowed eyebrows, pouting faces, and slightly blushing cheeks—yet they remain cute, playful, and entertaining. The adult versions smile warmly as they watch the amusing interaction between their chibi counterparts. The adult faces must match the uploaded face references exactly, and the clothing—especially the man’s T-shirt—must be identical to the uploaded reference, preserving every design detail faithfully. Use a premium visual style that seamlessly blends photorealistic humans with high-quality 3D chibi characters. The chibi characters should have oversized heads, large expressive eyes, small bodies, and an irresistibly cute appearance. Add black hand-drawn doodles around the characters, such as hearts, exclamation marks, expressive lines, stars, motion effects, and other decorative sketch elements, similar to those in the reference image. Use soft studio lighting, a clean white studio background, vibrant colors, ultra-sharp details, soft shadows, cinematic lighting, sharp focus, premium-quality rendering, ultra-realistic textures, ultra-detailed finishing, and true 8K quality. The composition should be full-body, symmetrical, and in a vertical 9:16 aspect ratio, making it ideal for TikTok, Instagram Reels, and YouTube Shorts. Ensure the final result maintains an extremely accurate resemblance to the original face references and keeps the T-shirt design perfectly identical to the reference, without adding any accessories or altering any attributes that are not present in the original photos.

Fashion portrait

Fashion portrait

Visual concept

Visual concept

Cinematic product poster for WELLBI, India's premium bamboo apparel brand. SCENE: A lone young Indian man emerges from a dense, luminous bamboo forest at golden hour. Wears a perfectly draped, ultra-clean ivory WELLBI bamboo polo. Bamboo stalks alive with warm amber and jade light filtering through canopy. VISUAL STORYTELLING: The bamboo forest IS the fabric — seamless living metaphor. Thin golden light rays land on the polo, suggesting softness and breathability. COMPOSITION: Low angle, subject centre-frame, bamboo framing both sides like a natural arch. Horizon at lower third. Cinematic 2.39:1 anamorphic crop. — TYPOGRAPHY SYSTEM — Hero line: "GROWN." — single word, massive scale, Helvetica Neue Ultra Light, all caps, extreme letter-spacing +600, ghost white at 15% opacity overlaid across the ENTIRE poster width — architectural, not decorative. Sub-line: "Not manufactured." — set in sharp Aktiv Grotesk Regular, sentence case, 18pt, tracking +80, positioned directly below hero word. White. Full opacity. Feels like a whisper after a shout. Brand name: "WELLBI" — bottom right corner. Neutral Grotesk Medium, all caps, tracking +300, 11pt. Separated by a 0.5pt hairline rule above it, 40px wide. Restrained. Premium. Legal/descriptor: "100% Bamboo Apparel — India" — micro text, 7pt, tracking +150, bottom left. Rotated 90° vertical. Acts as a structural edge element, not an afterthought. COLOUR PALETTE: Deep jungle green, warm amber, ivory white, earth brown. LIGHTING: ARRI Alexa Mini LF — golden hour rim, diffused fill, subtle lens flare grazing the polo fabric. MOOD: Grounded luxury. Like a Loro Piana campaign shot in Assam. CAMERA: 85mm f/1.4, shallow DOF, anamorphic lens flare. Editorial brand poster for WELLBI sustainable Indian fashion. SCENE: Extreme close-up of a weathered artisan's hands spinning bamboo thread. Blurred WELLBI tee draped elegantly in background. Warm-lit rural Indian workshop — clay walls, raw natural light. VISUAL STORYTELLING: Rough hands against silk-smooth bamboo fabric. Heritage craftsmanship. The contrast IS the message. COMPOSITION: Split tonal — dark warm left (hands, workshop), light cream right (garment). Hands at cross-point. Leica 50mm documentary realism. — TYPOGRAPHY SYSTEM — Hero line: "ONE LAKH HANDS." — Canela Display Thin, mixed case, enormous scale, set across 80% of poster width. The word "HANDS" drops to second line, indented right — staggered layout creates visual rhythm like musical notation. Counter-line: Below "HANDS", flush right: "One fabric." — same Canela Thin but 28pt, italic. The tonal shift from all-caps to italic sentence case creates emotional contrast — like going from statement to confession. Brand stamp: "WELLBI" centred bottom — pressed as if letterpress embossed. Freight Display Pro Bold, tracked tight at -20. Earthen cream on warm brown. Feels physical. Tactile. Descriptor line: "Handcrafted bamboo apparel since 2021 — India" — 9pt, Suisse Int'l Light, tracking +200, full width, very bottom edge. Reads like a footnote on a heritage certificate. COLOUR: Terracotta, aged ivory, saffron gold, deep walnut. LIGHTING: Soft natural window light, warm practical lamp. Documentary-editorial quality. MOOD: Deeply human. D&AD craft award energy. CAMERA: Leica 50mm Summilux, skin texture visible, documentary realism with fashion editorial polish.

Visual concept

Visual concept

REFERENCE IMAGE INSTRUCTION: Use the uploaded product photo as the exact source of truth for the product's appearance, color, finish, branding, and form factor. Do not invent or alter any product detail. Reproduce it with photorealistic precision. --- Create a photorealistic premium [PRODUCT CATEGORY] campaign poster in a 4:5 vertical aspect ratio. Design it as a clean global OOH, digital, and social campaign layout with strict grid alignment, premium white space, and precise typography. The campaign idea is "[CAMPAIGN TAGLINE]," but do not render that phrase as visible text. Use a strict 12-column poster grid with 6% outer margins. Keep all text aligned to this grid. The image has four layers: background shape, giant background typography, subject/product photography, and clean graphic text overlays. BACKGROUND: Pure matte white canvas. Place one large rounded-rectangle block behind the subject, occupying roughly 70% of the poster height and 76% of the width, centered slightly above the middle. The block uses a controlled [PRIMARY BRAND COLOR] gradient, glowing gently from top-left to bottom-right. Behind the subject and product, place giant cropped typography reading "[BACKGROUND HERO WORD]" in ultra-bold geometric sans-serif letters. The word is a background layer only: huge, partially cropped by the frame edges, wide letter spacing, darker [PRIMARY BRAND COLOR] than the rectangle, subtle embossed depth, soft shadow, and low enough contrast that it does not fight the product. SUBJECT AND PRODUCT: [DESCRIBE MODEL OR SUBJECT — e.g., "a female model with a clean editorial look, neutral confident expression, natural slightly wind-touched hair, muted off-white outfit, and [ACCENT COLOR] jacket"]. Shoot from a slightly low hero angle. Body angled for depth, face turned toward the viewer with direct eye contact. One hand extends toward the camera holding the product from the uploaded reference image. The product is the dominant foreground object, slightly tilted to reveal [KEY PRODUCT DETAIL — e.g., "the triple camera system, brushed titanium edges, and centered brand logo"]. Keep the product sharp with realistic surface reflections, material texture, faint micro-details, and soft bloom around premium features. Keep the model's face readable behind it. LIGHTING: Soft studio key light from front-left, warm rim light from the right, and subtle [PRIMARY BRAND COLOR] bounce from the background block. Skin remains natural and non-airbrushed with realistic catchlights. Product edges have clean [MATERIAL FINISH — e.g., "metallic / matte / glossy"] highlights. Shadows are soft and controlled. TYPOGRAPHY OVERLAY: All text must be flat, crisp, perfectly aligned graphic typography — not painted onto the scene. Render exactly these text elements once, with no extra text: Top left, small black logo: [BRAND LOGO NAME/MARK] Top right, thin sans-serif: "[BRAND SUB-TAGLINE — e.g., 'Built for Apple Intelligence.']" Mid left, glassmorphism pill: "[PRODUCT NAME — e.g., 'iPhone 17 Pro']" Large background type: "[BACKGROUND HERO WORD]" Bottom right body copy, small clean sans-serif: "[PRODUCT NAME]. [POWER STATEMENT — one sentence.] [FEATURE 1]. [FEATURE 2]. [CLOSING LINE — e.g., 'Designed for what's next.']" BOTTOM FEATURE STRIP: Place four equal-width glass-white rounded cards along the bottom, aligned to the grid, same height, same spacing, same baseline alignment. Each card has one minimal line icon above the heading. Render exactly: Card 1: "[FEATURE HEADING 1]" / "[FEATURE SUBLINE 1]" Card 2: "[FEATURE HEADING 2]" / "[FEATURE SUBLINE 2]" Card 3: "[FEATURE HEADING 3]" / "[FEATURE SUBLINE 3]" Card 4: "[FEATURE HEADING 4]" / "[FEATURE SUBLINE 4]" GRAPHIC DETAILS: Two or three small sparkle icons only, subtle grain, soft glassmorphism, controlled [PRIMARY BRAND COLOR]-white-[ACCENT COLOR] palette, no neon, no oversaturation.

Visual transformation

Visual transformation

Visual concept

Visual concept

Design a minimal early-internet personal profile webpage / digital portfolio landing page on a large white canvas with generous negative space and a thin pastel pink browser-style frame. In the center, place a black-and-white editorial portrait of [SUBJECT], featuring soft film grain, subtle scanner texture, and low-contrast photographic tones. Surround the portrait with scattered profile metadata labels and small star-bullet elements arranged asymmetrically, resembling a playful personal résumé. Include descriptors such as: ✦ creator ✦ model ✦ stylist ✦ DJ ✦ girl ✦ photographer ✦ collector ✦ dreamer In the top-left corner, create a colorful hand-drawn logo or personal brand mark. Beneath it, add a tiny timestamp and date in a small system font, mimicking an old personal homepage. In the top-right corner, place irregular sticker-like navigation tabs in bright accent colors (pink, cyan, purple, yellow, and green). Use simple labels such as: HOME ABOUT WORK DIARY LINKS Scatter handwritten marker-style notes, introductions, personal thoughts, and lifestyle captions throughout the empty space. Examples: "currently making things online" "welcome to my homepage" "music, fashion, internet" "updated today" "living between projects" Maintain an anti-grid editorial layout with intentionally imperfect spacing and playful placement. Mix tiny system fonts, handwritten script, and casual notebook-style annotations. Keep the portrait entirely monochrome while reserving color only for the logo, navigation stickers, and a few small graphic accents.

At a glance

Is this model right for you?

This page brings Grok Imagine's two Kyeo modes together: generate from a written prompt, or upload one image you are entitled to use and request an edit. Text-to-image offers five fixed aspect ratios and two processing modes. The editing mode shares the 5,000-character prompt limit, but hides aspect ratio and `enable_pro`. Choose from the controls actually available here rather than assuming xAI's broader product features are included.

What it does best
The editing mode accepts one source image, so it is a different input mode from models that accept several references.
Who it is for
Use it to generate an image from text or to make clearly described changes to one existing image, such as adjusting the scene, composition, color, or visual treatment. Every output still needs review; a mode label cannot predict the result.
Why use it on Kyeo AI
Before submission, Kyeo shows the available aspect ratios, processing mode, prompt limit, upload boundary, and credit cost, then switches modes automatically when an image is attached.

Key facts

Quickly evaluate whether this model fits your business use case.

Category
AI image model
Vendor
xAI
Model family
Grok Imagine
Integration
Current site integration
Runtime
Asynchronous task
Prompt limit
5,000 characters
Upload limit
1 image

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Grok Imagine text to image
Grok Imagine image editing

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

how do I generate with Grok Imagine on Kyeo AI
what happens when I submit only a prompt to Grok Imagine
which Grok Imagine mode runs after I attach an image
what changes when I turn `enable_pro` on or off
how many credits do Grok Imagine generation and editing cost
how many images can I upload for Grok Imagine editing
should I choose Grok Imagine or GPT Image 2
should I choose Grok Imagine or Nano Banana 2
what are the limits of Grok Imagine one-image editing
which image formats does Grok Imagine accept

Decision guide

Still deciding? Start with these key decision points.

1
Set the frame before generating from text

Set the frame before generating from text — With no image attached, choose `1:1 / 2:3 / 3:2 / 16:9 / 9:16` for the intended use, then describe the subject, scene, composition, and anything the output should avoid.

2
Attach only one image you have permission to use

Attach only one image you have permission to use — Adding an image switches Kyeo to the editing mode and hides the text-to-image aspect-ratio and `enable_pro` controls. The current interface accepts one JPG, PNG, or WebP file up to 10 MB.

3
Treat the two modes as options to compare

Treat the two modes as options to compare — Returns 2 images for 4 credits per standard text-to-image request. Returns 4 images for 5 credits per quality text-to-image request.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How do Grok Imagine and GPT Image 2 differ in input limits?
Grok Imagine vs GPT Image 2: how do controls and pricing compare?
How do Grok Imagine and Nano Banana 2 differ in visible controls?
Grok Imagine vs Nano Banana 2: how do reference limits and credits compare?
How do Grok Imagine and Flux 2 Flex differ in reference limits?
Grok Imagine vs Flux 2 Flex: how do resolution controls compare?

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Input and mode selection
Grok Imagine
Text-to-image without an upload; one-image editing after an upload
GPT Image 2
Generation without an upload and editing with up to 16 references
Nano Banana 2
Generation without an upload and up to 14 reference images
Reference-image limit
Grok Imagine
Up to 1 image in the Kyeo interface
GPT Image 2
Up to 16 images in the Kyeo interface
Flux 2 Flex
Up to 8 images in the Kyeo interface
Current Kyeo pricing
Grok Imagine
Text-to-image at 4/5 credits; image-to-image at 4 credits
GPT Image 2
1K/2K/4K at 3/5/8 credits
Nano Banana 2
1K/2K/4K at 5/8/12 credits
Visible text-to-image controls
Grok Imagine
Five fixed aspect ratios and the `enable_pro` processing mode
GPT Image 2
Aspect ratio and 1K/2K/4K resolution
Flux 2 Flex
Aspect ratio and 1K/2K resolution
Controls on the editing mode
Grok Imagine
Content check: Default: off. 1 image.
GPT Image 2
Aspect-ratio and resolution choices remain available
Nano Banana 2
Aspect ratio, resolution, format, and search-enhancement choices remain available

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

Which controls are worth checking before I hit run?

Before you run it, the main checks are frame shape and reference-input quality. Those are usually the pieces that decide whether the first result is close enough that you can keep iterating here toward bold concept visuals and experimental art direction without making the setup heavier than it needs to be.

One-image editing with explicit file limits / Grok Imagine

One-image editing with explicit file limits / Grok Imagine — The editing mode accepts one JPG, PNG, or WebP image, currently limited to 10 MB.

Capabilities

Automatic mode selection based on the upload

Automatic mode selection based on the upload — A request without an image goes to text-to-image mode; attaching one image uses one-image editing mode. The modes share a page but expose different controls and prices.

Two processing modes for text-to-image

Two processing modes for text-to-image — Returns 2 images for 4 credits per standard text-to-image request. Returns 4 images for 5 credits per quality text-to-image request.

One-image editing with explicit file limits

One-image editing with explicit file limits — Kyeo accepts one JPG, PNG, or WebP image up to 10 MB. The edit costs 4 credits, and the interface does not show aspect-ratio or processing-mode choices for this mode.

Use cases

Generate an image in a chosen frame

Pick a square, portrait, or landscape ratio for the intended placement, then describe the subject, setting, camera, lighting, color, and layout.

Edit one existing image

When you have the right to use the source, upload one image and state which elements to preserve and what should be replaced, added, removed, or adjusted.

Compare speed-priority and quality-priority processing

Test the same text-to-image prompt in both modes and weigh runtime, credit cost, and the actual outputs. One sample does not guarantee that later results will be consistent.

Prompt tips

Order the prompt by importance

Start with the subject and action, then add setting, composition, lighting, color, and medium. If the image must contain text, check spelling, letterforms, and layout rather than assuming the model will reproduce it accurately.

Separate preserved elements from requested changes

Name the subjects, structure, or text that must remain and the areas to replace or redraw. Conflicting instructions can move the result away from the source, so review every output.

Choose the delivery frame before describing composition

Text-to-image offers `1:1 / 2:3 / 3:2 / 16:9 / 9:16`. Pick the destination first, then specify subject placement and empty space. The ratio control is hidden after an image is attached.

Why choose it

One page automatically switches between generation and editing based on the upload.
Text-to-image pricing, five aspect ratios, and both processing modes are visible before submission.
One-image editing accepts JPG, PNG, and WebP with a clear 10 MB limit.
The credit cost for both text-to-image and editing is known before the run.

What to know first

Image-to-image accepts one image and does not support multi-reference input in the current interface.
Attaching an image hides aspect ratio and `enable_pro`; editing is submitted at a fixed 4-credit price.
The content-check toggle does not replace manual copyright, privacy, and safety review.
Stronger styling also tends to introduce more variation and rework.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Aspect ratio
Optional
Parameter type: Select
Default: 1:1
1:1
2:3
3:2
16:9
9:16
Content check
Optional
Parameter type: Toggle
Default: off
Off
On
Generation mode
Optional
Parameter type: Select
Default: false
Standard
Quality

Credit cost

4–5 credits per request

Text-to-image with `enable_pro` off returns 2 images for 4 credits per standard request; with it on, the quality request returns 4 images for 5 credits; image-to-image costs 4 credits per image.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

GPT Image 2

GPT Image 2 / Capabilities — GPT Image 2 supports text-to-image generation and reference-image editing on Kyeo AI. Kyeo charges by output resolution: 1K costs 3 credits, 2K costs 5, and 4K costs 8.

AI image generation and editing model
3–8 credits per request

Nano Banana 2

Kyeo AI offers text-to-image generation and reference-guided editing with Nano Banana 2. You can upload up to 10 reference images, choose from 15 aspect ratios, and output at 1K, 2K, or 4K. Those tiers currently cost 5, 8, and 12 credits, prompts allow 20,000 characters, and the current generation form does not offer web search.

AI image generator and editor
5–12 credits per request

Flux 2 Flex

Flux 2 Flex supports prompt-only generation and editing with up to eight images on Kyeo. A request without images uses Flux 2 Flex; an upload switches it to Flux 2 Flex. Seven fixed aspect ratios and 1K or 2K output are available for 14 or 24 credits per request.

AI image model
14–24 credits per request

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

Grok Imagine on Kyeo supports text-to-image and one-image editing. Text generation offers standard or quality-priority mode at 4/5 credits; uploading one image switches to image-to-image at a fixed 4 credits.

Last updated: 2026-08-26
xAI Docs: Grok Imagine Image
Official
Open original source
xAI News: Grok Imagine Quality Mode
Official
Open original source