
Give every photo one job
A reference with no stated role gets blended in vaguely. "Image 1 is the person, image 2 is the jacket, image 3 is the room" turns three photos into three instructions.
Combine up to five photos into one image. As a multiple reference image generator, it needs you to say what each photo is for: this person, that jacket, this room, that colour mood.
An AI image combiner and multiple reference image generator: upload up to five photos, say what each is for, and get one picture. People, products, style.
Upload at least one reference image before generating.
All four accept more than one reference photo. They differ in how many they weigh at once and in how closely they hold a face or a product, so run the same brief through two of them.

OpenAI latest image model. Sharper instruction following, cleaner in-image text, up to 4K.

Photorealistic detail with tight prompt control. Accepts up to 8 reference images.

Highest quality Google model. Supports up to 4K resolution.

Strong typography and poster layouts. Handles dense in-image text at 1K and 2K.
More references only help when each one has a job. The first four points are about giving them jobs, the last three are about the limits you will run into.

A reference with no stated role gets blended in vaguely. "Image 1 is the person, image 2 is the jacket, image 3 is the room" turns three photos into three instructions.

There is no role selector, so the prompt is the only place the roles live. Say "image 1", "image 2" in upload order, and keep that order in your head when you re-run.

A reference that already contains three people and a busy street gives the model three things to guess between. Crop to the one thing you want used before you upload.

Add "keep the face exactly" or "same label, same proportions" for the reference that carries identity. The other references can be looser; that one needs the explicit clause.

You can attach up to five photos per generation here. If a brief needs more, merge two related references first, for example a sheet with the jacket front and back, then use the sheet as one image.

Two photos with different lighting, scale, or angle will not both win. Pick one to set the light and say so, or the result splits the difference and looks like neither.

The model draws the whole frame from your references, it does not cut and paste. Identity and design carry over, fine details like small print and exact patterns can drift, so check them before you publish.

Both take references on this page, up to five photos. The practical difference is the ceiling: a 1K Standard run is 15 credits on both GPT Image 2.5 and FLUX 2 Pro, but FLUX 2 Pro tops out at 2K and GPT Image 2.5 goes to 4K. Draft on either to settle the references and wording, then re-run the keeper on GPT Image 2.5 if you need the larger file.

Most multi-reference runs are one of three things: putting a person in a new outfit or scene while the face holds, placing a real product into a lifestyle setting taken from a mood photo, and carrying one visual style, such as a colour grade or illustration look, across a set of different subjects.
Same generator, pointed at a narrower job.
How to choose, order, and describe reference photos, with worked prompts.
The cheaper way to draft a multi-reference brief, from 15 credits at 1K, before you commit a keeper elsewhere.
When there is one photo and one change, and everything else should stay put.
The general reference-image workspace, for edits that do not need several photos.
Upgrade for larger monthly credits, faster generation, and commercial-ready output.
For regular creators and light production use
Generate 50–125 images / month
Upgrade to ProFor high-volume image generation workflows
Generate 120–300 images / month
Upgrade to UltimateBuy credits once and use them whenever you need. Purchased credits never expire.
Never expires
Generate 60–150 images
Practical details for this generator page.
Use the prompt panel above with the same account, credits, and history workflow.