Toono
Google image generation for complex creative assembly

Build one visual system from many references

Bring product, environment, palette, and layout references into one workspace, then specify what must stay fixed and what can change. The current Toono AI integration supports text-to-image, reference-led editing, 1K–4K output, and multiple aspect ratios.

Create with Nano Banana Pro

Open image generation with this model selected

See examples and review points
An outdoor launch system combines an orange technical pack, shell, terrain, map, material samples, and concise campaign type into one visual direction.
An outdoor launch system combines an orange technical pack, shell, terrain, map, material samples, and concise campaign type into one visual direction.

Visual examples

Four production tasks worth testing with your own references

The useful question is not whether the model can make another polished picture. Test whether it can combine sources, isolate a requested change, organize information, and carry one subject across a set.

Combine references into one believable scene — Assign a clear role to each source—product, wardrobe, location, palette, or composition—then check scale, contact, perspective, and material continuity in the result.Google

Combine references into one believable scene

Assign a clear role to each source—product, wardrobe, location, palette, or composition—then check scale, contact, perspective, and material continuity in the result.

Turn a compact brief into a structured visual — Create a labeled field-kit layout or diagram, then verify every word, leader line, object count, and implied fact before it enters a deck or article.Google

Turn a compact brief into a structured visual

Create a labeled field-kit layout or diagram, then verify every word, leader line, object count, and implied fact before it enters a deck or article.

Change the environment without changing the product — Use a controlled edit brief to move the same object from dry daylight to a rainy evening while protecting geometry, color, hardware, and camera angle.Google

Change the environment without changing the product

Use a controlled edit brief to move the same object from dry daylight to a rainy evening while protecting geometry, color, hardware, and camera angle.

Carry one reference subject across placements — Compare the same object in studio, outdoor, wet-weather, and urban scenes to find where silhouette, material, or small features begin to drift.Google

Carry one reference subject across placements

Compare the same object in studio, outdoor, wet-weather, and urban scenes to find where silhouette, material, or small features begin to drift.

Examples show creative directions, not guaranteed outputs. Reference fidelity, text accuracy, factual content, latency, credit cost, and fine detail vary with the source images and selected settings. Review every asset before publishing.

Practical workflow

Give every reference one job

A smaller, well-labeled reference set is easier to direct and easier to review than an unstructured pile of inspiration.

  1. 01

    Separate fixed details from creative direction

    List the subject details that cannot move, then assign other references to location, lighting, palette, styling, or layout.

  2. 02

    Choose the final placement before resolution

    Set aspect ratio and 1K, 2K, or 4K output for the actual use. Higher resolution costs more in the current workspace, so prove the direction before finishing large.

  3. 03

    Compare against every source at full size

    Inspect text, geometry, people, products, lighting, joins, repeated objects, and the final crop. Refine one structural problem at a time.

Nano Banana Pro workflow questions

Image inputs, output choices, and review points in the current Toono AI integration.

Related products

Compare another image model or move into a guided App

Use the open AI Image Generator for model choice, compare GPT Image 2 for a different production workflow, or try Nano Banana 2 when you want the related Google image route.

AI Image Generator — Create product visuals, editorial images, illustrations, and concepts from prompts or supported reference inputs.
Image Studio

AI Image Generator

Create product visuals, editorial images, illustrations, and concepts from prompts or supported reference inputs.

View product page
GPT Image 2 — Create text-led layouts, detailed product visuals, structured graphics, and reference-based image edits.
OpenAI

GPT Image 2

Create text-led layouts, detailed product visuals, structured graphics, and reference-based image edits.

View product page
Nano Banana 2 — Create and revise everyday campaign images with reference-led editing, short text, and 1K–4K output.
Google

Nano Banana 2

Create and revise everyday campaign images with reference-led editing, short text, and 1K–4K output.

View product page

Production brief ready

Build the first direction from a labeled reference set

Open Nano Banana Pro, assign one purpose to each source, protect the non-negotiable details, and generate a small set you can inspect against the same brief.

Create with Nano Banana Pro

Open image generation with this model selected