Guides

    GPT Image 2 Text to Image: lock this still before you buy motion (4K, 4cr)

    GPT Image 2 Text to Image is the stills row. Animate after approval. Do not generate the pack inside the video model.

    Versely Team5 min read

    GPT Image 2 Text to Image is the stills row. Animate after approval. Do not generate the pack inside the video model.

    GPT Image 2 Text to Image is OpenAI's high-fidelity image generate with strong prompt adherence, up to 4K. Category is text-to-image only. Four credits is the catalog call. audio is null. There is no duration. requires_image is false because this row is the picture, not a motion pass hung off one.

    Four credits is the argument, not the clip

    A video model will invent a bottle. It will invent a slightly different bottle on the next take. That is identity debugging at motion prices. GPT Image 2 Text to Image is where you find out whether the label, the glass, and the light are the ones you meant, at image prices, at 4K if the plate needs it.

    The catalog description is the brief: high-fidelity, strong prompt adherence, 4K rendering. Write the subject, the setting, the light, and the crop. Do not write camera moves this row cannot execute. Pan, dolly, and "then she turns" belong on a video row after someone can point at a frame and say that one.

    The text to image tool is the Versely door. OpenAI's other rows share the bill. This page is only the stills generate.

    Approval is a JPEG, not a vibe

    A still is not locked because you generated one. It is locked when the things that would force a regen are decided: the SKU, the face, the type on the pack, the ratio you will actually publish. Show that file. Then spend video credits on motion.

    Quality settings on the row are 1K, 2K, and 4K. max_output_resolution is 4K. If the next step is image-to-video, generate the still at the resolution the video row will honour, not at a thumbnail you plan to "fix in the animate." Grain you invent at 1K becomes motion artefact at second two.

    Aspect on this model is a long enum: auto, 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 2:1, 1:2, 3:1, 1:3, 21:9, 9:21, 5:4, 4:5. Pick the ratio of the cut. Describing "vertical" in the prompt while leaving aspect on auto is how you get a 1:1 hero you then crop into a 9:16 hole.

    Prompt adherence is the reason this row exists

    OpenAI's copy on the model is strong prompt adherence. Use that. Name the object. Name the type on the object. Name what must not appear. Do not bury the SKU under style adjectives and hope the model "gets the vibe." Vibe is how you approve a pretty wrong still.

    This row is not an editor. There is no image-to-image category here. If the still is almost right and you only need the cap colour changed, that is a different catalog row — an edit-image model — not another GPT Image 2 roll that re-samples the room. Rerolling a high-fidelity generate to fix one object is how prompt adherence gets blamed for a routing error.

    Lock the still before you spend on motion is the production rule. Best AI image generator is the ranked stills list. Four credits, 4K, text-to-image, no audio, no duration: that is GPT Image 2 Text to Image.

    The pack does not live in Seedance

    Do not prompt a video model for twelve pack angles because "it can do images in the video." You will pay for physics you did not need and you will not get a sheet. Make the stills on this row. Register the approved ones with reusable characters and products. Then pick image-to-video or reference-to-video for the motion those stills earned.

    If the brief is type-heavy — a poster, a label, a slide — this is still a stills job. Motion will smear lettering you have not locked. Get the words right in 4K first.

    FAQ

    Can I animate inside GPT Image 2 Text to Image?

    No. Content type is image. There is no duration and no audio. Lock the still here, then open an image-to-video or text-to-video row for motion.

    Why 4K if I am posting 1080p?

    Because the still may become a first frame, a thumbnail, and a print crop. max_output_resolution is 4K; the quality enum includes 1K and 2K if you truly only need those. Do not buy 4K as a superstition. Do not skip it if the plate will be cropped.

    Does this model edit an existing photo?

    Not on this slug. Categories are text-to-image only. requires_image is false. An edit is a different row. This page is generate-from-text until a still exists.

    What do 4 credits buy?

    One catalog generate on this row: a still, up to 4K, billed at 4 credits. It does not buy a video, a soundtrack, or a pack of angles inside one call. Approve the frame, then spend motion credits on purpose.