GPT Image 2.5
GPT Image 2.5 is the image model to use when a later video depends on the image holding identity and layout.
When to use it
Pick it when you are making the image a video will be built on: a portrait, character sheet, first frame, or identity-preserving edit.
Best for
- portraits and character sheets that a video has to keep
- the first frame of a clip
- product in hand
- edits that must not lose the face
Avoid for
- bulk throwaway drafts where GPT Image 2.5 Flare is faster
Modes
- text-to-image
- image-edit
Prompt notes
Describe the subject, age, framing, light, and what the hands do.
Use layout instructions such as four poses on a plain background or headroom for a caption.
Pass the result to generate_video as first_frame or in refs, depending on whether you need to animate the still or keep the person across clips.
Related use cases
FAQ
What should I use GPT Image 2.5 for?
Use it for portraits, character sheets, first frames, product-in-hand images, and edits where identity matters.
Can I use its output in video generation?
Yes. Use the image as first_frame to animate it or as a reference to keep the person or product consistent.
When should I avoid it?
Use GPT Image 2.5 Flare for faster draft batches when the final series does not depend on a single identity-hold image.
What do you sell?
First video free, no card