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IMAGE EDITINGAPI MODEL COMPARISON

Choose AI Image Editing Models by Inputs and Controls

Explore 19 public image editing models across Google, OpenAI, Black Forest Labs, ByteDance, Alibaba and Grok. Compare reference limits, masks and output controls, then open the matching editing API.

Multi-image.Combine references

Compare 15 models for multiple source images, from reference-guided edits to masks and region controls. Limits below refer to the documented SeeAPI route unless another provider is named.

FLUX 3 Klein

Edit ordered references with preset sizes or custom output dimensions.

Up to 10 inputsCustom dimensions

The image-edit endpoint accepts up to ten references and can return one to four images. Custom width and height range from 256 to 4096 pixels, with an aspect-ratio constraint.

Before • Coffee-table edit
After • FLUX 3 Klein, Seedream6 showcase
Before • Add an accessory
After • FLUX 3 Klein, Seedream6 showcase

Custom dimensions override preset size controls. Charges depend on output size and image count.

Qwen Image 2.1

Combine ordered references or supply a mask for local changes.

Up to 10 inputsMask editing

Use up to ten references, with 1K or 2K output and PNG, WebP or JPEG formats. The guide recommends no more than four references when fidelity is the priority.

Before • Annotated local-edit reference, Qwen
After • Local changes, Qwen Image 2.1
Before • Product reference, Qwen
After • New product setting, Qwen Image 2.1

A mask cannot be combined with transparent output. Transparent backgrounds require PNG or WebP.

Seedream 5.0 Pro

Use the Pro variant for controlled edits across multiple references.

Up to 10 inputs1K–2K

Supply up to ten JPEG, PNG or WebP images. Basic quality produces 1K output and high produces 2K. Prompts accept 3–5000 characters.

Before • Change the cap material
After • Seedream 5.0 Pro, SceneOS example

Each reference is limited to 30 MB and 4.19 million pixels. Account access requirements apply.

Seedream 5.0 Lite

Transform references with defined output quality tiers.

Up to 14 inputs2K–4K

Basic, high and ultra map to 2K, 3K and 4K. Supply JPEG, PNG or WebP files up to 30 MB each.

PNG or JPEG output
Color transfer from a reference • Official Seedream 5.0 Lite
Lighting changes • Official Seedream 5.0 Lite comparison
Focus adjustment • Official Seedream 5.0 Lite comparison

Prompts must be 3–3000 characters. Choose an explicit supported aspect ratio; auto is not listed.

Nano Banana 2.1

Combine visual references with a choice of output resolutions.

Up to 10 inputs1K–4K

Explain each reference’s role in the order supplied. JPEG, PNG and WebP inputs are supported, up to 30 MB per file.

PNG or JPEG output

Higher resolutions use more credits; check labels, faces and product geometry after editing.

Nano Banana 2

Combine up to 14 references with configurable output resolution.

Up to 14 inputs1K–4K

The SeeAPI editing endpoint accepts JPEG, PNG and WebP inputs up to 30 MB each, with 1K, 2K or 4K output.

Provider-specific fields and output costs differ; check the selected route.

Nano Banana Pro

Compare the Pro variant for reference-guided edits with PNG or JPEG output.

Up to 8 inputs1K–4K

Use up to eight source images and select the output aspect ratio, resolution and format.

This model has a higher access requirement in the public catalog; check account eligibility.

GPT Images 2.5 Sunburst

Compare provider-specific editing, mask and output controls.

Up to 16 inputsMasks via fal

The default SeeAPI route accepts up to 16 references and returns one image at 1K, 2K or 4K. The fal route adds mask, quality and native multi-output controls.

Mask and multi-output settings belong to the fal route; do not send them to the default SeeAPI route.

GPT Images 2.5 Flare

Use multiple source images with optional mask-based editing on fal.

Up to 16 inputsMasks via fal

The default SeeAPI route supports up to 16 source images and one 1K–4K result. Select fal for its documented mask, quality, format and multi-output controls.

Provider inputs and billing differ. Choose the provider before selecting editing parameters.

Nano Banana 2 Lite

A Lite-family option for prompt-based edits using multiple references.

Up to 10 inputsReference editing

Supply up to ten reachable JPEG, PNG or WebP URLs, with a maximum of 30 MB per source image.

Do not carry resolution settings over from other Nano Banana variants; follow this endpoint's schema.

Nano Banana

Include the original Nano Banana in reference-based editing comparisons.

Up to 10 inputsReference editing

The editing endpoint accepts up to ten JPEG, PNG or WebP image URLs, up to 30 MB each, plus a text instruction.

Compare against newer variants with the same source images; model-family membership does not imply identical controls.

Wan 2.7 Image

Edit references with optional bounding boxes and sequential output.

Up to 9 inputsRegion controls

Use up to nine references and up to two bounding boxes per source image. The editing API offers 1K or 2K resolution, sequential generation and palette controls.

Bounding boxes must align with the input array. Color palettes are not applied when sequential generation is enabled.

GPT Image 2

Edit multiple images with explicit background options.

Up to 14 inputsBackground control

Choose automatic, opaque or transparent backgrounds. On Replicate, transparent output requires PNG or WebP.

SeeAPI background controls require 1K. Resolution and aspect-ratio combinations vary by provider.

GPT-4o Image

Keep GPT-4o Image available for existing reference-editing workflows.

Up to 4 inputsAspect ratio

The current input schema accepts up to four source images. Output aspect ratios are 1:1, 3:2 and 2:3.

Use the schema maximum of four inputs; do not assume the higher reference limits of GPT Image 2 or 2.5.

Seedream 4.0

Compare Seedream 4.0 for multi-reference edits and resolution controls.

Up to 10 inputs1K–4K

Use up to ten JPEG, PNG or WebP reference images, up to 30 MB each. Select 1K, 2K or 4K output and an optional seed.

Supported aspect ratios and controls differ from Seedream 5.0 variants.

Single-image.Edit one source

Compare four models whose editing endpoints start from one source image.

FLUX Kontext Pro

Make focused edits with optional prompt enhancement.

One source imagePrompt upsampling

Describe the change and the details to preserve. Compare prompt upsampling on and off using the same source.

Provider-specific output formats

Auto aspect ratio is documented for Replicate; SeeAPI uses explicit ratios.

Flux Kontext Max

Compare the Max variant for a focused source-image transformation.

One source imageSingle-image editing

Supply exactly one reference image and an editing instruction of up to 2,000 characters. Review the selected provider's aspect-ratio and format options.

When automatic translation is disabled, the SeeAPI guide requires an English prompt.

Qwen Image Edit

Tune an edit with guidance and inference-step controls.

One source imageGuidance controls

The SeeAPI provider offers negative prompts, 2–49 inference steps, guidance scale 1–20 and a seed.

Endpoint: image-edit
Before • Add a sign
After • Qwen Image Edit, official example
Before • Remove unwanted details
After • Qwen Image Edit, official example

Controls vary by provider. A fixed seed does not guarantee identical results.

Grok Imagine

Transform one source image with a text editing instruction.

One source imageSingle output

The image-to-image endpoint accepts exactly one JPEG, PNG or WebP image up to 10 MB and returns one image per request.

This editing endpoint does not accept the multiple-reference inputs supported by the models above.

How to choose an AI image editing model

Match the API to the task, then compare outputs on your own representative images.

Start with your inputs and required controls. For masks, compare Qwen Image 2.1 and the fal routes for GPT Images 2.5 Sunburst or Flare. For regional bounding boxes, inspect Wan 2.7 Image. For custom dimensions and multiple outputs, inspect FLUX 3 Klein. For reference-based transformations, compare Nano Banana, GPT Image and Seedream variants using the same source images.

From reference to finished image

Bring your next image edit into focus

Choose a model for your source images and editing controls. Open its API guide, or explore image editing models before you build.

19 public image editing models
Single and multiple image inputs
Model-specific API guides