Grok Imagine Image 2.0
Grok Imagine Image 2.0 combines prompt-only generation and standard image editing with up to 5 references in one on-site entry. Text to image offers 5 fixed ratios, while editing also supports auto; both available modes currently reserve 4 credits per image.
At a glance
What is this model like?
A request without uploaded images uses text to image. A request with 1–5 signed images uses standard image editing. Reference files must have a verified JPEG, PNG, or WebP type and remain within 10 MB each. Segment mapping and segment editing have no independent pricing evidence, so they are not exposed as callable modes.
Key facts
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Also known as
The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.
Common questions
These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.
Selection guide
Use these decision points when choosing a model.
When no subject, material, or layout must be preserved, upload nothing and choose 1:1, 2:3, 3:2, 16:9, or 9:16.
When a product, person, material, or composition must remain recognizable, upload 1–5 images and state the constraint assigned to each reference.
This page currently exposes only standard image editing. Segment mapping and segment editing remain unavailable so tasks are not priced without a proven reservation contract.
Popular comparisons
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Model comparison
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Practical usage insights
Practical guidance based on public sources, current on-site limits, and representative tasks.
The two available modes share one price
Multiple references still need asset discipline
Capabilities
Two-mode image generation
Multi-image reference editing
Canvas ratio control
Use cases
Product mood imagery
Character and wardrobe references
Multi-placement visual drafts
Prompt tips
State the facts that must remain first
Assign one role to each image
Choose the ratio for the delivery placement
Why choose it
What to know first
Adjustable parameters
Quickly assess whether this model fits your use case.
Credit usage
Text-to-image and standard image editing currently both cost 4 credits per output image. Kyeo reserves 4 credits before task creation, then reads actual usage after completion. A difference is released only when usage is valid and does not exceed the reservation; missing, invalid, or higher usage enters reconciliation without a hidden extra charge.
Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.
FAQ
Related models
Compare these similar candidates before deciding.
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.
Qwen Image 3.0
Qwen Image 3.0 supports both text-only generation and image-to-image work with up to 3 references. It offers 1K/2K, 8 canvas sizes, PNG/JPEG output, prompt expansion, negative prompts, and seed control. Kyeo preauthorizes 5–7 credits per request.
Nano Banana 2 Lite
Nano Banana 2 Lite is a streamlined image entry point: generate from text alone or upload up to 10 reference images, choose only the aspect ratio, and use a fixed 3 credits per request. There is no resolution button, which prevents a pricing-table label from being presented as an interface capability.
Sources
Content is based on model documentation, feature references, and the settings available on Kyeo AI.
This page was reviewed against the current on-site image request contract, signed upload boundary, and authenticated pricing evidence; the public controls match the actual request allowlist.
Used to check the input modes, visible controls, media limits, and availability of the version currently connected to this site. The page and workbench show the actual options.
Used to verify real file types, the on-site size boundary, integer reservations, and actual-usage settlement after task completion.