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Describe a scene in plain text and Aurora renders it — photorealistic portraits, accurate logos, readable in-image text. Upload a reference photo to edit instead of generate. 5 credits per image, the cheapest model on sparkpix.
Aurora is an autoregressive mixture-of-experts model trained to predict the next token across interleaved text and image data. These are the areas where that architecture pays off.
Aurora was trained on billions of interleaved text-and-image examples and is tuned for photorealistic rendering, including realistic human portraits — the hardest thing for most image models to get right.
It renders precise visual details of real-world entities, text and logos. If your image needs a recognisable object or readable words in it, this is where Aurora separates from models that smear both.
The model accepts prompts up to 10,000 characters, so you can direct scene, lighting, style and composition in detail instead of compressing intent into a handful of keywords.
Aurora supports text-to-image and image editing at up to 2K resolution — enough for social, web and most on-screen work without a separate upscale pass.
Native multimodal input means the model can take inspiration from, or directly edit, an image you provide. Text-to-image and image-to-image are the same tool, not two products.
Half the price of GPT Image 2, NanoBanana 2 and NanoBanana Pro at 10 credits each. Cheap enough to iterate on a look before committing to a pricier model for the final frame.
Type what you want to see. Aurora accepts prompts up to 10,000 characters, so you can specify subject, lighting, lens, style and composition in one go instead of trimming down to a keyword list.
Aurora takes multimodal input, so you can upload a photo and describe how to change it instead of generating from scratch. Leave it empty for pure text-to-image.
Grok Imagine returns your image for 5 credits. Download it and use it commercially — you own what you generate.
Aurora rewards detail and takes up to 10,000 characters. Name the subject, the lighting, the lens, the mood and the composition — "portrait of a woman, overcast window light from camera-left, 85mm, shallow depth of field, muted earth tones" beats "nice portrait of a woman" every time.
Because Aurora renders in-image text well, spell out the exact words and put them in quotes: a poster that reads "OPEN LATE" in bold condensed type. Vague instructions like "add some text" get you plausible-looking gibberish.
At 5 credits it is the cheapest way to explore a direction. Once you have a composition you like, re-run the winning prompt on NanoBanana Pro if the job needs maximum fidelity, or GPT Image 2 if it needs dense, precise typography.
All three run in the same editor on sparkpix — pick the one that fits the task, and switch without leaving the page.
| Feature | Grok Imagine | GPT Image 2 | NanoBanana Pro |
|---|---|---|---|
| Underlying model | xAI Aurora | OpenAI gpt-image-2 | Google Gemini 3 Pro Image |
| Best for | Photorealism, logos, real-world entities | Instruction-following & text-rich layouts | Highest-fidelity, detail-critical work |
| Max prompt length | 10,000 characters | Long prompts supported | Long prompts supported |
| Image input | Yes — native multimodal | Yes | Yes |
| Credits per image | 5 | 10 | 10 |
| Commercial use | Yes | Yes | Yes |
Last updated: July 2026
Grok Imagine is xAI's image generation product, built on the Aurora model. Aurora is an autoregressive mixture-of-experts network trained to predict the next token across interleaved text and image data, which is what gives it its strength at photorealism and at rendering real-world entities accurately.
Aurora is strongest at photorealistic rendering and at following text instructions precisely. It renders real-world entities, logos and in-image text more accurately than most image models, and it handles realistic human portraits well. It also spans illustration, painting and stylised art rather than being locked to one look.
Each Grok Imagine generation costs 5 credits — half the price of GPT Image 2, NanoBanana 2 and NanoBanana Pro, which are 10 credits each. New users get free credits on sign-up, so you can try it before paying anything.
Yes. Aurora has native multimodal input, so it can take your uploaded image as a reference or edit it directly. Upload a photo, describe the change, and generate. If you leave the upload empty it works as a pure text-to-image generator.
Generation runs asynchronously and typically completes in well under a minute. The editor polls for the result and shows it as soon as it is ready — you do not need to keep the tab in focus.
Yes. Images you generate on sparkpix can be used commercially, with no watermark on paid generations. You own the rights to what you create.
Grok Imagine (Aurora) is the cheapest of the four at 5 credits and leans photorealistic, with strong prompt adherence and accurate logos and text. GPT Image 2 is the pick for precise instruction-following and text-rich layouts. NanoBanana 2 is the fastest for high-volume iteration. NanoBanana Pro is the highest-fidelity option for detail-critical work. All four run in the same editor, so switching costs you nothing but a click.
OpenAI’s image model — precise instruction-following, text-rich visuals and product photography.
Google Gemini 3.1 Flash — the fast, high-volume tier for iterating on many variations cheaply.
Google Gemini 3 Pro Image — the highest-fidelity option for detail-critical work.
Generate images from text at no cost with the SparkPix model — no credits required.
Edit an existing photo by typing what you want changed — backgrounds, objects, style and more.
ByteDance’s flagship image model, explained — layered edits, dense infographics and multilingual text.