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It takes about 4 seconds to generate a 1K image, about 2.7x faster than Nano Banana 2.
Nano Banana 2 Lite is based on Google Gemini 3.1 Flash-Lite Image. Among the Nano Banana 2 family, it is the cheapest option for one 1K image and has the fastest generation speed. Raphael consumes 11 credits per 1K image, making it suitable for high-concurrency generation, interactive editing, and workflows that need many iterations. It supports text-to-image, image editing, multi-image composition, character consistency, and readable in-image text by design, and can use up to 14 reference images at once.
See mature examples of real transformations from source image to output image, and reuse the corresponding prompts directly.


Color a black-and-white line drawing. Use clean, vibrant, and balanced colors. Use natural shadow and soft highlights to create depth while keeping the comic style. Use smooth gradients, a harmonious palette, and consistent light direction. Do not change character anatomy, faces, poses, or proportions. Do not add extra elements not present in the line art. Produce high-quality, professional comic coloring.
From speed and cost to editing capability, it is clear why this is right for bulk 1K image production.

βKeep the product shape, logo, stitching, camera angle, and lighting unchanged, only change the white leather to forest green, and replace the background with a warm-beige studio setup while preserving natural contact shadows.β
A single image usually returns in about 4 seconds, around 2.7x the speed of Nano Banana 2. The model is particularly suitable for real-time editors, chat-based iterative editing, high-concurrency APIs, and tasks that require trying multiple versions continuously; the trade-off is output fixed at 1K, without 2K or 4K. Actual latency is still affected by queue status, number of reference images, and prompt complexity.

βTurn the uploaded pet into a 3Γ3 sticker sheet with 9 different expressions. Keep its face, coat pattern, and collar, and use bold outlines, soft colors, and a clean solid-color background.β
At Raphael, Lite costs 11 credits per 1K image; Nano Banana 2 costs 23 credits per 1K; Nano Banana Pro costs 45 credits per 1K. So within the Nano Banana 2 generation lineup, Lite is the best choice for bulk output, A/B testing, and high-frequency iteration. The older Nano Banana belongs to a previous generation and is not included in this same-generation lowest-cost comparison.

βCompose the uploaded coffee bag, cup, grinder, and coffee beans into one premium still-life ad in a 4:5 ratio. Preserve each product's color, shape, and packaging, and use warm morning window light with a clean magazine-style composition.β
The same model natively handles text-to-image generation, text-based editing on existing images, and multi-reference composition. It supports up to 14 references per request, allowing you to draw on characters, products, outfits, scenes, and style references in one pass to quickly swap backgrounds, materials, add or remove elements, and merge multiple subjects.

βUsing the same fox mascot with a yellow scarf, create four spring drink promo cards showing it serving a cup, waving, running, and sitting in a flower patch. Keep its face shape, fur color, scarf, and cup consistent, and only clearly render the simple English title "SPRING SIP" and the cup text "FLOXI" on each card.β
The model can preserve key traits of characters, pets, mascots, or products across continuous editing and multi-subject composition, and can also produce readable short text in posters, packaging, menus, and social cards. It is especially suitable for fast production of marketing assets and character variants; for complex typography, long-form text, or final print-ready deliverables, manual review is still recommended.
Switch between top image models in one generator.
Liteβs clear position: lowest-cost 1K and fastest speed in this generation; Nano Banana 2 and Pro trade higher cost for 2K/4K and more advanced creation capabilities.
| Feature | Nano Banana | Nano Banana 2 Lite β | Nano Banana 2 | Nano Banana Pro |
|---|---|---|---|---|
| Model focus | Previous-generation fast model | Low-cost, high-speed tier in this generation β | General quality tier in this generation | Professional high-quality tier |
| Resolution | 1K | 1K β | Up to 4K | Up to 4K |
| Speed | Fast | About 4 seconds, about 2.7x faster β | Very fast | Slower (high quality) |
| Max reference images | 5 | 14 β | 14 | 14 |
| Web search | No | No | Yes | Yes |
| Credit cost | 9 credits | 11 credits β | 15/23/34/51 credits | 45/45/80 credits |
| Best for | Quick sketching | High-frequency iteration β | High-quality daily creation | Professional creation |
See other Nano Banana models and choose by speed, resolution, and creative capabilities.
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Understand Lite's full capability boundaries, from 1K cost and 14 reference images to thinking_level and SynthID.
It is based on Google Gemini 3.1 Flash-Lite Image and is the tier in the Nano Banana 2 series focused on speed, low cost, and high-concurrency 1K image production. It is not a simplified model limited to text-to-image; it also supports image editing, multi-image composition, character consistency, and readable in-image text generation.
Within Raphael's current Nano Banana 2 generation, Lite is 11 credits per 1K image, while Nano Banana 2 is 23 credits and Nano Banana Pro is 45 credits. So Lite is the lowest-cost 1K choice in this group. The previous Nano Banana is 9 credits and belongs to a different generation, so it should not be treated as the absolute minimum across the whole Nano Banana family.
EvoLink reports a typical generation time of about 4 seconds, about 2.7x faster than Nano Banana 2. This figure illustrates the model tier speed difference and is not a fixed guarantee for every request; actual time is still affected by queue load, number of reference images, and task complexity.
No. Lite outputs fixed 1K, which is the key trade-off for its faster speed and lower per-image cost. When final output requires 2K or 4K, high-fidelity print-ready assets, or more complex scenes, choose Nano Banana 2 or Nano Banana Pro.
The model API supports up to 14 reference images per request, which can cover reference for people, products, apparel, scenes, and styles. The EvoLink API supports JPEG, JPG, PNG, and WebP; actual upload size still follows Raphael's page-level file limits.
The currently available ratios are 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9, totaling 10 common formats, covering square posts, vertical product images, full-screen mobile content, landscape covers, and ultra-wide banners.
Lite is fixed at 1K and has no web search; its advantages are about 4-second turnaround and lowest 1K cost in this generation. Nano Banana 2 supports 1K, 2K, 4K, and web search, and is better for users who need higher rendering quality, factual detail, and more complex instructions.
Yes. The model can maintain key characteristics for people, pets, mascots, and products across editing and multi-image composition, making it useful for expression changes, continuous scenes, and ad variants. For strict consistency across many shots, stability can still be improved with fixed references and clear character feature descriptions.
The model API provides a thinking_level parameter to control pre-generation reasoning intensity, with auto, min, and high available. Raphael currently uses auto so the model automatically balances speed and processing depth by task; Lite remains positioned around fast return time.
Yes. Google states that SynthID is always enabled and supports C2PA content credentials for AI generation identification and traceability. SynthID is not a visible on-image watermark text overlay and typically does not affect normal viewing or use of the image.
Choose Lite first when the task requires bulk output, A/B testing, chat-style continuous editing, social content, product variation, character drafts, or high-concurrency API usage. If final delivery requires 2K/4K, web-referenced information, or more complex professional output, choose Nano Banana 2 or Pro.