AI Image Editor/Combiner

The AI Image Editor allows you to edit and transform images using reference inputs, models, and optional prompts. It supports both combined editing and batch processing workflows.

Written By Arina

Last updated About 4 hours ago

What It Does

This tool generates new images based on uploaded references and a selected model.

It allows you to:

  • edit or transform existing images

  • combine multiple references into one result

  • apply LoRA-based styles

  • generate consistent variations across images

Result examples:

Interface Overview

Images

Upload one or more images to use as references.

  • Up to 100 images per run

  • Images can be used together or processed separately (Batch Mode)

Model

Select the model that will generate the result.

Available models:

  • General (4K, ON filters)
    Highest quality model, best for final images

  • Nano Banana 2 (2K, ON filters)
    Clean, brand-safe and photorealistic results

  • Qwen Image 2.0 / Pro (2K, ON filters)
    Balanced models for structured and consistent editing

  • WAN 2.7 / Pro (ON filters)
    More flexible models for varied and expressive results

  • Seedream 5 (4K, ON filters)
    High-quality image editing with enhanced realism and detail preservation

Prompt (optional)

Describe the result you want to generate.

The prompt helps control:

  • appearance

  • style

  • composition

Batch Mode

When enabled, each uploaded image is processed separately.

  • Each image becomes its own task

  • The same prompt is applied independently

  • Images do not influence each other

Use Batch Mode when:

  • you want consistent edits across multiple images

  • you don’t want images to be combined

Additional Settings

Aspect Ratio β€” sets the width-to-height ratio of the output (e.g., 1:1, 3:4, 9:16)

Resize (W / H) β€” manually controls image resolution in pixels

Number of Images β€” defines how many variations to generate (up to 10)

Sequential Generation (available in General model) β€” generates a consistent series of images with the same characters, style, and environment

Generate

Starts the generation process.

  • Credit cost is shown before generation

  • Cost depends on model and number of images

Highlights

Highlights

Upload up to 100 input images per run
Supports multiple models for different use cases (General, Nano Banana 2, Qwen, WAN, Seedream)
Allows combining multiple references or processing them separately (Batch Mode)
Seamless integration with Upscale, Video, and Carousel tools

Pro Tips

  • Always add a clear face image to preserve identity

  • Include a full-body photo for better pose and proportion accuracy

  • Use Batch Mode when applying the same edit to multiple images independently

  • Use Sequential Generation when you need consistent characters and scenes across variations

  • You can mix images from different sources β€” the model will adapt lighting and composition

  • For composition diversity, send results to the Carousel Generator

  • For complex edits, apply changes step by step
    (e.g. first adjust pose, then modify clothing in a separate generation)

FAQ

What is the difference between Batch Mode and Sequential Generation?

  • Batch Mode processes each image separately using the same prompt

  • Sequential Generation creates a consistent sequence of images with shared characters and style

Can I change clothes or background only?
Yes. Describe the change clearly in the prompt (e.g. β€œchange outfit to a black dress, keep face and pose”).
You can also upload a reference image β€” the model will use it during generation.

Will the editor preserve facial identity?
Yes, especially when:

  • a clear face image is provided

  • extreme or conflicting prompts are avoided

Is this tool suitable for product or brand visuals?
Yes. For clean, brand-safe visuals, use Nano Banana 2 and keep prompts simple and descriptive.

Why didn’t I get the expected result?
This may happen if:

  • the prompt is unclear or too complex

  • the selected model is not suitable for this type of request

Try simplifying or adjusting your prompt, or switching to a different model.
If the issue persists, contact support for assistance.