Models/Collections/Best Multi-Image Editing

Best Multi-Image Editing

Editing models that take more than one input image and combine them coherently. Useful for placing a product into a scene, merging a subject with a background, or holding a character consistent across a new composition.

Models

Premium image generation and editing with precise control across iterative edits

$5.00/ 1M tokensText input tokens
Run

Fast, high-quality image generation and editing for everyday creative production

$5.00/ 1M tokensText input tokens
Run

Image generation and editing model with strong prompt fidelity, text rendering, and layout-aware control

$5.00/ 1M tokensText input tokens
Run

Flagship image model for controlled editing, multi-reference generation, and layer-aware visual workflows

$0.04815/ image1.5K
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Agentic image generation and editing with multi-reference composition, clean text rendering, and precise local edits

$0.01/ image
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Text-to-image generation and multi-image editing built for drift-free iteration

$0.008/ imageVery low
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Premium image generation with enhanced composition stability and precise prompt comprehension

$0.075/ image
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Unified image generation and editing with avatar customization, color control, and multilingual text rendering

$0.03/ image
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Seedream 4.5 high fidelity multi reference text to image model

$0.04/ image
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High control AI image model for consistent characters

$0.028/ image
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Native 4K image generation and editing with precise multi-reference control

$0.041/ image0.75K
Run

Sharper graphic composition and subject consistency, with multi-reference input and live search grounding

$1.50/ 1M tokensInput tokens
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Fast, cost-efficient image generation and multi-reference editing with layer decomposition

$0.01926/ image
Run

Open-weight alternatives

Black Forest Labs

FLUX 3 Image Klein

by Black Forest Labs

Distilled open-weights model for fast image generation and editing

$0.003 / image · 512×512 · steps 16
Black Forest Labs

FLUX 3 Image Klein Base

by Black Forest Labs

Undistilled open-weights foundation for fine-tuning and customization

$0.0089 / image · 512×512 · steps 50
K

Krea 2 Turbo

by krea

Fast open-source Krea image model for low-cost text-to-image generation and LoRA-friendly workflows

$0.015 / image
K

Krea 2 Raw

by krea

Base 12B Krea 2 checkpoint for finetuning, post-training, and open-weight text-to-image workflows

$0.015 / image

Model guides

GPT-Image-2.5 Sunburst

Precision editing

How to use GPT-Image-2.5 Sunburst for detailed and repeated edits: what the longer generation time buys, and when to reach for it instead of Flare.

Read the guide →GPT-Image-2.5 Flare

Prompting

How to prompt GPT-Image-2.5 Flare: writing a brief it can plan a layout from, pinning counts and positions, and choosing a size from its custom dimension envelope.

Read the guide →GPT-Image-2.5 Flare

Quality levels

How to set rendering effort on GPT-Image-2.5 Flare with settings.quality: what each level changes, what it costs, and which subjects are worth the top of the ladder.

Read the guide →GPT-Image-2.5 Flare

Editing images

How to edit an image with GPT-Image-2.5 Flare: one source, one written instruction, and the composition, lighting and detail the model holds while it changes what you named.

Read the guide →GPT-Image-2.5 Flare

Subject consistency

How to keep one product or character recognisable across new scenes with GPT-Image-2.5 Flare: how many reference images to send, and how to say what each one is for.

Read the guide →GPT-Image-2.5 Flare

Masked editing

How to confine an edit to a painted region with GPT-Image-2.5 Flare: what white and black mean, and why the mask is guidance rather than a hard boundary.

Read the guide →GPT-Image-2.5 Flare

Iterative editing

How to run a chain of edits with GPT-Image-2.5 Flare: feeding each result back as the next source, what accumulates across passes, and when to restate instead of chain.

Read the guide →GPT-Image-2.5 Flare

Transparent backgrounds

How to generate cut-out assets with GPT-Image-2.5 Flare: settings.background, the output format it forces, and prompting for edges that survive compositing.

Read the guide →GPT Image 2

Prompting

How to write prompts for GPT Image 2 across the cases the model handles unusually well: photorealism, accurate text, world-knowledge composition, and multi-image editing workflows.

Read the guide →Seedream 5.0 Pro

Prompting

How to prompt Seedream 5.0 Pro for text-to-image, reference-guided editing, and multi-image fusion in commercial workflows: campaign posters, product variants, and editorial still-life.

Read the guide →Seedream 5.0 Pro

Multilingual text rendering

How to prompt Seedream 5.0 Pro for accurate in-image text across 15 native languages, from French posters with accented characters to Arabic, Thai, Korean, and Japanese scripts.

Read the guide →Muse Image

Prompting

How to prompt Muse Image: writing a brief it can plan a layout from, setting the thinking level, picking one of the eight size pairs, and working without a seed.

Read the guide →Muse Image

Editing images

How to edit an image with Muse Image: passing one source image, targeting a region in words, removing objects, restoring old photos, and refining a result across passes.

Read the guide →Muse Image

Rendering exact text

How to render exact, legible copy inside an image with Muse Image: quoting the literal string, keeping it short, directing the type, and landing multi-element layouts.

Read the guide →Muse Image

Composing with multiple reference images

How to build one image out of up to ten reference images with Muse Image: giving each reference a job in the prompt, and letting the references set the output shape.

Read the guide →Muse Image

Grounding images with web and image search

How to ground Muse Image in real facts and real references with settings.webSearch and settings.imageSearch, and when to switch the lookups off.

Read the guide →Muse Image

Building infographics and charts

How to build data-accurate charts and infographics with Muse Image: what settings.shell does, how to write your figures into the prompt, and when to switch it off.

Read the guide →Ideogram 4.5

Prompting

How to write prompts for Ideogram 4.5: the order of a good prompt, space for copy, Magic Prompt, the 1K and 2K sizes and the quality tiers.

Read the guide →Ideogram 4.5

Text and design

How to use Ideogram 4.5 for designs where the words have to be right: quoting exact copy, type hierarchy, placement, dense layouts, non-Latin scripts and brand palettes.

Read the guide →Ideogram 4.5

Editing with reference images

How to edit an image with Ideogram 4.5 and up to four reference images: numbering the inputs, taking one attribute from each, choosing the output size and adding a mask.

Read the guide →Ideogram 4.5

Pose control

How to repose a model photo with Ideogram 4.5 using a pose skeleton reference and joint angles in the prompt, from one raised arm to a full lookbook from a single shot.

Read the guide →Seedream 4.5

Prompting for layered, high-resolution scenes

How to write prompts for Seedream 4.5, from short interpretive prompts to layered scene descriptions, with legible text rendering at 2K to 4K.

Read the guide →FLUX 3 Image

Prompting

How to prompt FLUX 3 Image for text-to-image: the five-part prompt structure, the detail that prompt expansion cannot invent for you, camera direction, and output size.

Read the guide →FLUX 3 Image

Rendering text

How to render readable text with FLUX 3 Image: quoting the exact string, directing the typography, building a text hierarchy, and editing copy inside an existing image.

Read the guide →FLUX 3 Image

Editing images

How to edit an image with FLUX 3 Image from a single reference: scoping the instruction, swapping materials and light, removing objects, reframing, and chaining edits.

Read the guide →FLUX 3 Image

Multi-reference composition

How to combine up to ten reference images with FLUX 3 Image: assigning a role to each one, holding a face or a product across scenes, and borrowing a look.

Read the guide →FLUX 3 Image

Bounding boxes

How to place and edit elements by region with FLUX 3 Image: the 0 to 1000 grid, composing a layout from scratch, moving a marked element, and removing one.

Read the guide →Nano Banana 2.1

Prompting

How to write prompts for Nano Banana 2.1: briefs with counts and positions, layered descriptions, a system prompt for a house style, thinking levels, and sizes.

Read the guide →Nano Banana 2.1

Text and layouts

How to get exact copy and structured layouts from Nano Banana 2.1: quoting strings, setting a type hierarchy, building infographics, and translating a design.

Read the guide →Nano Banana 2.1

Editing images

How to edit an image with Nano Banana 2.1: one reference and a written instruction, keep lists, removals and additions, numbered changes, and chained edits.

Read the guide →Nano Banana 2.1

Composing from multiple reference images

How to combine up to 14 reference images with Nano Banana 2.1: giving each image a role, following a layout sketch, borrowing a style, and reading a video.

Read the guide →Nano Banana 2.1

Subject consistency

How to keep one product or character identical across a series with Nano Banana 2.1: one reference into new scenes, extra views, and illustrated characters.

Read the guide →Nano Banana 2.1

Grounding with web and image search

How to ground Nano Banana 2.1 in live facts and real appearances with settings.webSearch and settings.imageSearch, and when to leave both lookups off.

Read the guide →