Google Nano Banana Lite Edit

Sub-2 second image-to-image edit with Google Nano Banana Lite. Supply reference images + edit prompt; the model rewrites the scene while preserving subject identity.

Input

Input Example
Original

Output

Output Example
Generated

Upload your image and transform it in seconds

12,000+ images created this month

📄 About Google Nano Banana Lite Edit
Key Features
**Multi-reference input** — combine up to 10 images (portraits + scenes + style refs + outfits) in a single edit, orchestrated by the prompt.
**Sub-2 second latency** per edit at ~$0.02 per image — fast and cheap enough to iterate five times without thinking about cost.
**Identity-preserving edits** — the model holds face and subject identity from your primary reference while rewriting everything around it.
**Full-scene rewrites** — backgrounds, outfits, lighting, décor, composition — anything you can describe in a prompt, the model can restage.
**14 aspect ratios** including extreme 4:1, 1:4, 8:1 and 1:8 for banners, panoramas and vertical strips.
**Persistent system_prompt** lets you enforce constraints ("never change the face", "keep the product label visible") across a session.
**PNG / JPEG / WebP output** at 1024×1024 with full commercial-use rights on paid generations.
💡 Use Cases
**Ecommerce photographers** restaging product shots — take one clean studio photo, restage it into 20 lifestyle contexts for PDPs and paid ads.
**Fashion & apparel brands** swapping outfits on a model photo — upload the model + the garment reference, get a rendered try-on for catalog work.
**Interior designers & realtors** virtually staging empty rooms — room photo + décor mood ref → styled render for listings and mood boards.
**Content creators & influencers** rewriting the background of a portrait for thematic posts (beach, city, studio, editorial) without a reshoot.
**Advertising creatives** composing hero imagery from disparate assets — subject + scene + prop refs recombined via prompt.
**Character designers & storytellers** holding a character reference across multiple scene edits for consistent visual storytelling.
**Solo founders & small teams** running quick photo touch-ups, background removal follow-ups, and asset restages without hiring a photo editor.
🎯 Best For
🎯 {"Ecommerce restaging — one product shot, twenty lifestyle contexts.","Fast outfit / background / scene swaps on a portrait.","Combining 2–3 references into a single composite for social & moodboards.","Bulk photo edits where cost per image matters over pixel-perfect finish.","Iterative editing loops — cheap enough to try five variations."}
👍 Pros
Sub-2 second edits — fastest AI image editor tier available.
~$0.02 per output — cheapest in the Nano Banana Edit family.
Up to 10 reference images per edit for complex composites.
Strong subject-identity preservation out of the box.
14 aspect ratios including extreme banner and panorama formats.
System prompt for locked-in editing constraints across a session.
Full commercial-use rights on all paid generations.
⚠️ Considerations
Complex multi-subject composites still lose to <a href="https://www.jaiportal.com/model/nano-banana-pro-edit">Nano Banana Pro Edit</a> on fidelity.
Fixed 1K output — needs upscaling for print or large-format use.
Beyond 3–4 references, prompt guidance can dilute — quality plateaus.
Not a pixel-perfect retoucher — for surgical touch-ups use a dedicated inpainting tool.
📚 How to Use Google Nano Banana Lite Edit
1
Upload 1–3 reference images. Reference 1 is usually your subject (the thing whose identity you want to preserve); the rest describe the target scene, outfit, style or props.
2
Write a clear edit instruction: "Put the person from image 1 into the setting from image 2. Editorial daylight. Preserve facial features." Explicit references win over vague prompts.
3
Pick the target aspect ratio — 1:1 for social, 9:16 for stories/Reels, 16:9 for banners, 4:1 or 8:1 for landing-page headers.
4
For identity-critical edits, drop "Never change the face. Preserve exact eye shape and skin tone." into the system_prompt field so it holds across every generation in the session.
5
Iterate: at ~$0.02 per edit, run 3–5 variations, pick the strongest. Save the winning seed for reproducibility across future edits of the same subject.
6
For a higher-fidelity final render on the winning composition, chain into <a href="https://www.jaiportal.com/model/nano-banana-pro-edit">Nano Banana Pro Edit</a> or <a href="https://www.jaiportal.com/model/openai-gpt-image-2-edit">OpenAI GPT Image 2 Edit</a>.
Frequently Asked Questions
Up to **10 per request**, though 1–3 references usually deliver the strongest results. Beyond that, prompt guidance dilutes and subject identity can drift. Use the first reference for your subject (the thing you want preserved) and the rest for scene, outfit, style or props.
Yes — that's the primary use case. Upload the subject, add a scene or outfit reference, and describe the target composition in the prompt. Common workflows include ecommerce restage, virtual try-on, background rewrites and moodboard composites. For higher-fidelity commercial finals, promote to Nano Banana Pro Edit.
Yes, subject identity is preserved by default. For extra control on identity-critical edits, add a **system_prompt** like "Never change the face. Preserve exact eye shape and skin tone." — it enforces the constraint across every generation in the session.
Lite Edit is **~5× cheaper and 3–5× faster** than Nano Banana Pro Edit. Pro delivers slightly better fidelity on complex multi-subject composites and demanding lighting scenarios. Lite is the iteration workhorse; Pro is the final render. Live pricing is on the model pricing dashboard.
Yes — that's the multi-reference workflow. Upload up to 10 images and use inline directives in the prompt: "Put the person from image 1 into the location from image 2, wearing the outfit from image 3." Explicit references produce better composites than vague prompts.
Fixed **1024×1024 (1K)** across all 14 aspect ratios. Aspect ratio changes framing, not pixel count. For larger deliverables, run the output through an upscaler after editing.
Yes — this is arguably the top use case. One clean studio shot + 20 lifestyle scene references = 20 restaged PDP images at $0.40 total. For the highest-quality final on the winning composition, promote to Nano Banana 2 Pro Edit. To see examples, browse the Explore Gallery.
Yes — all paid generations come with full commercial-use rights: paid ads, ecommerce, client deliverables, printed goods, monetized content. You're responsible for having rights to the source images you upload, but the AI-edited output is yours to use commercially.
⚖️ How Google Nano Banana Lite Edit Compares
**Google Nano Banana Lite Edit** is the fast, cheap **AI image editor** tier for iteration, restage and moodboard composites — same 1K output and 14 aspect ratios as the Pro sibling at 1/5 the price. For higher-fidelity finals, promote to Nano Banana Pro Edit, Nano Banana 2 Pro Edit or OpenAI GPT Image 2 Edit. To generate a base image first, use Nano Banana Pro Text-to-Image.

More Image Editing Models