Nano Banana 2 Lite provides text-to-image and image-editing tasks for creating 1K visuals and modifying prepared material. Describe the subject, scene, light and framing in words, or supply one to fourteen references and explain which image provides the person, object, environment or structure. Use the prompt for a background composition, local scenery change or complete visual restyling, then choose one of ten aspect ratios. The current per-generation rate covers the supported framing and reference inputs, so you can review a complete task estimate before testing a scene or edit.
Nano Banana 2 Lite is developed by Google. Vidgo provides access to the model. Model names and trademarks belong to their respective owners.Use Text to Image for a new written composition. Use Image Editing when one to fourteen images supply material to preserve or combine. Describe each reference’s role and the requested change, choose a supported size ratio when you need specific framing and inspect the current per-generation estimate.
Generate crisp 1K images in ~4 seconds from text prompts with Nano Banana 2 Lite. Optimized for high-volume rapid iteration, in-image text in 25+ languages, and 10 aspect ratios at $0.025 per generation.
Perform fast local edits and multi-reference transformations with Nano Banana 2 Lite using 1–14 reference images and text instructions. Delivers consistent characters, background swaps, and rapid variations in ~4 seconds at $0.025.
Text generation uses prompt and an optional size ratio. Editing adds one to fourteen image_urls. Assign separate sources to the character, object and environment when combining material, or use one source for a localized scene change or new art treatment. Write the appearance, geometry, lighting and framing to retain so the edit has a clearly defined visual basis.
| Model / task | Input and workflow |
|---|---|
| Nano Banana 2 Lite Text to Image | Generate crisp 1K images in ~4 seconds from text prompts with Nano Banana 2 Lite. Optimized for high-volume rapid iteration, in-image text in 25+ languages, and 10 aspect ratios at $0.025 per generation. |
| Nano Banana 2 Lite Edit | Perform fast local edits and multi-reference transformations with Nano Banana 2 Lite using 1–14 reference images and text instructions. Delivers consistent characters, background swaps, and rapid variations in ~4 seconds at $0.025. |
Specify the subject and its material, then use source roles and local instructions to define an edit. The existing records below show an ice-skating photograph, macro wildlife, a repairer placed in a salt landscape, a theatre-set transformation and a screen-printed frog.
Write the body position, camera height, light and visible equipment. The speed-skater record asks for a low-angle cornering pose, ice spray and panning blur behind the athlete. Inspect the actual body structure, skates and sense of movement for a sports visual concept.
Name the insect, readable viewing angle, surface details and depth of field. The orchid-mantis record requests the complete insect on an artichoke bud, with dew and translucent pink edges. Review anatomy, organic textures and subject separation against the brief.
Use one reference for the repairman and bicycle and another for the salt embankment. Describe full-body placement, scale, feet and tire contact and matching sunlight. Inspect the result for appearance, bicycle geometry and the preserved landscape.
Supply the theatre photograph and identify the proscenium, floor boundaries and seating to preserve. Describe fabric lanterns, gauze and projected light as stage props. The underwater-inspired record keeps the space a real indoor theatre while changing the scenery.
Describe the contours, color separations, halftone and paper while retaining the pose and markings. The frog record becomes a four-color screen-printed illustration with the same toes, leaf and diagonal composition. Compare the material treatment and the original anatomy together.
The first record uses the repairman and bicycle from image 1 with the salt landscape from image 2, then specifies their placement, scale, light and ground contact. The second supplies a tree-frog photograph and asks for a four-color screen-printed illustration while retaining the animal and leaf composition. Read the full prompts and compare the sources with each actual result to inspect the requested composition or material change.
Use image 1 as the identity and bicycle reference, and image 2 as the destination landscape. Create a seamless documentary photograph of this same adult repairman pushing this same old dark-green bicycle along the broad white salt embankment in image 2. Preserve his face, straw hat, indigo shirt, tan trousers, shoes and the bicycle frame, handlebars and two wheels. Preserve the pink ponds, white salt texture, horizon and perspective of image 2. Place the complete man and bicycle naturally on the foreground embankment, with feet and both tires contacting the ground. Match scale and upper-left sunlight, with physically consistent contact shadows. One man, one bicycle, no collage borders, no duplicate limbs or wheels. No advertisements, brands, logos, signatures, text or watermarks.
Convert this red-eyed tree frog photograph into a bold four-color screen-printed comic illustration. Preserve the same single frog, exact resting pose, visible toes gripping the banana leaf edge, bright red eyes, green body, flank markings, leaf outline, diagonal composition and original framing. Use confident thick black contour lines, flat cyan-magenta-yellow-black ink separations, visible halftone dots and subtle paper grain. Simplify the background into dark graphic foliage while retaining separation around the frog. This is a single full-frame illustration, with no panels, speech balloons, lettering or added characters. No advertisements, brands, logos, signatures, text or watermarks.
Write a sports, macro or illustrated scene, or prepare references for subject placement, stage design, local changes and visual restyling. Explain the material and source roles, identify the details to preserve and choose the aspect ratio. Inspect the generated image for a storyboard, photographic concept, theatre proposal, character presentation or illustration study.
Describe the athlete’s pose, equipment, camera and lighting, then generate a still image. Inspect anatomy, material and visual movement for a sports presentation or storyboard.
Write the subject, natural anatomy, viewing angle and depth of field. Review the generated light and surface detail for a natural-history visual study.
Provide identity and destination images and describe scale, light and contact. Compare the result with both sources for a character or documentary scene proposal.
Supply the theatre image, preserve its architecture and describe the props, fabrics and projected light to add. Inspect the scene for a practical theatre-design presentation.
Prepare the image and describe contour lines, inks, halftone and paper texture. Retain the subject’s anatomy and layout, then review the result for an illustration study.
Retain the task identifier, prompt, reference URLs and optional size setting. Submit the authenticated request and track its task ID to retrieve the completed image.
Nano Banana 2 Lite is billed per generation, with the same current rate for text and editing. Supported aspect ratios and the permitted reference-image inputs are included in that rate. The dynamic table shows the current starting generation price. Open the selected task with your prompt, references and framing to review the full estimate before submission.
| Model | Provider | Workflow | Input material | Output specification | Starting rate |
|---|---|---|---|---|---|
| Nano Banana 2 Lite Text to Image | Text to Image | Text prompt | 1K | $0.025 / generation | |
| Nano Banana 2 Lite Edit | Image Editing | 1–14 reference images | 1K | $0.025 / generation |
Test your creative brief online, then bring the verified request into your application.
Enter the prompt, provide the editing references and choose an aspect ratio where needed. Review the per-generation estimate, generate the image and inspect identity, structure, light, material and the requested local or scene changes.
Choose a task, inspect its settings and cost, and follow the result from an online test to an authenticated API request.
Choose Text to Image for a written composition or Image Editing for one to fourteen references. Explain each source’s role, the change and details to preserve. Select a supported size ratio when the result needs a particular framing.
Open the matching task, enter your brief and supply the required images. Review the generated result against subject appearance, composition and the requested changes before carrying the workflow into a project.
Use the selected task’s current per-generation estimate and planned test count to budget the workflow. The supported framing and reference count are covered by the generation rate.
Read the actual prompt and inspect its source images and result together. Use those examples to understand how to assign input roles and describe the details to preserve or change in your own request.
Retain the task ID returned by the API to query status and retrieve completed file URLs. Use your online generation history to review earlier results and the creative direction you tested.
Use the documentation linked from each task for its exact model identifier, accepted inputs, authentication and response format. Integrate the same task you tested online so its media and settings match the request.
Nano Banana 2 Lite is a Google image model available on Vidgo through Text to Image and Image Editing. It provides 1K image creation, ten optional size ratios and editing with one to fourteen references. Use the prompt to describe a new composition or the specific changes to make in prepared visual material.
Explore model introductions, API guides and platform comparisons to understand input preparation, request integration and cost planning for your project.
