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Nano Banana 2 preview after
Nano Banana 2 preview before
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Image to Image

Image to image AI generator

Upload a source or reference image, describe what should stay and what should change, then generate a new image with supported image models. Use this page for reference-led edits, source preservation, style transfer, background changes, and object refinements.

Reference image inputSource preservationStyle and background editsModel switching
Workflow
Image to image

Start from an uploaded image instead of a blank text prompt.

Control
Preserve + change

Separate the source details to keep from the edits the model should apply.

Models
Image models

Begin with Nano Banana 2, then switch to GPT Images 2 or Seedream 5 Lite when the job needs a different behavior.

Controlled image-to-image editing

Built for high-intent image-to-image searches where the uploaded source matters: preserve a subject, keep a product recognizable, test a new visual direction, or revise a scene without starting over.

Reference-led generation

Use one or more uploaded images as the visual anchor for the generated result.

Source preservation prompts

Tell the model which details must stay consistent, such as product shape, subject identity, pose, layout, color, or texture.

Style and background changes

Change lighting, mood, material, room, surface, or campaign style while keeping the source image as the guide.

Object refinements

Add, remove, or adjust small visual details when the source image needs a targeted revision.

Model recommendations

Use Nano Banana 2 for reference consistency, GPT Images 2 for strong general editing, and Seedream 5 Lite for efficient variations.

Use the right workflow

Choose image-to-image when the source must guide the output; use text-to-image when there is no source image, or background remover when the task is only cutout cleanup.

Image to image AI generator use cases

Use image-to-image when the reference image is the brief: products, backgrounds, styles, objects, and existing visuals that need a controlled second version.

Preserve product details

Generate cleaner product visuals from a source image while keeping recognizable shape, materials, proportions, and identifying details.

Upload the product

Use the original product photo as the reference image.

State what stays

Preserve shape, material, edges, texture, controls, and important identifying details.

Refine the result

Compare the generated image with the source before using it in listings or ads.

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Preserve product details before
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Replace the scene

Keep the subject from the uploaded image and generate a new background, surface, room, lighting setup, or campaign setting.

Anchor the subject

Use the source image to define subject shape, scale, pose, and edges.

Prompt the background

Describe the new setting, surface, lighting, and visual purpose.

Check the composite

Review shadows, contact edges, reflections, and overall scene fit.

Replace the scene after
Replace the scene before
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Restyle an existing visual

Keep the composition or subject from the source while testing a new editorial style, color palette, lighting direction, or campaign mood.

Upload the source

Start with a photo, mockup, sketch, screenshot, or existing content image.

Set style boundaries

Explain the desired style and list details that should not drift.

Compare options

Switch models or revise the prompt when the output needs a different balance of preservation and change.

Restyle an existing visual after
Restyle an existing visual before
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How to use image to image AI generation

01

Upload a reference image

Add the image that should guide subject, layout, product identity, pose, style, or composition.

02

Describe keep and change rules

Write a prompt that separates preserved source details from the background, style, lighting, object, or scene changes you want.

03

Generate with the selected model

Use the default model first or switch to another supported image model, then submit, compare, and refine.

Image to Image AI Generator FAQ

What is an image to image AI generator?

It is an AI image workflow where an uploaded image guides the generated result. The prompt tells the model what to preserve from the source and what to change.

Can I preserve the source image while changing the style?

Yes. Use the source image as the anchor and write preservation instructions for subject identity, product details, pose, composition, colors, or other important features.

Can I change the background with image-to-image?

Yes. Describe the new background, lighting, surface, and scene while asking the model to keep the subject shape and key source details consistent.

Which models work well for image-to-image editing?

Start with Nano Banana 2 for reference consistency, try GPT Images 2 for general prompt-led editing, and use Seedream 5 Lite when you want faster variation testing.

When should I not use image-to-image?

Use text-to-image when you do not have a useful source image. Use background remover when the task is only removing a background, and use upscaling when the goal is resolution or sharpness.

Generate from a reference image

Upload a source image, describe preservation and edit instructions, then generate a controlled image-to-image result with the selected image model.

Reference image InputKeep + change Prompt