GPT Image 1.5 | OpenAI Text to Image Generator Online

About this model

GPT Image 1.5 is a strong fit for text-to-image and image-to-image work when you need readable in-image text, targeted edits without rebuilding the whole scene, multiple references, and flexible cost control through quality levels.

When is this model useful?

GPT Image 1.5 is the better choice when you want one model for both creation and editing, and when it matters to balance quick draft speed, more polished delivery quality, and predictable billing inside the AISVIT workflow.

Best fit tasks

Text-to-image generation for banners, posters, presentations, infographics, product scenes, social visuals, and UI mockups.
Image-to-image edits when you need to change background, style, lighting, in-image text, individual objects, or fine scene details without fully redrawing the whole image.
Visuals where readable text matters, such as covers, slides, packaging, posters, menus, promo banners, and layout-driven marketing assets.
Multi-reference work for compositing, style transfer, product mockups, and localization of existing creatives into another language.
Budget-sensitive workflows where low is useful for fast ideation, medium for balanced output, and high for more presentation-ready final images.

Main advantages

It keeps scene structure well and is stronger than many image models when the output includes readable text, infographics, or layout-like compositions.
It supports both text-to-image and image-to-image, so one model can cover ideation, controlled edits, remixing, and targeted revisions.
It gives clear quality control through low, medium, high, and auto, which helps teams move from draft to final without switching models.
It supports multiple input images, multiple outputs per run, and PNG, JPEG, or WEBP export.
It can return transparent-background images, which is useful for stickers, simple product cutouts, icons, and graphic elements.

Limitations to know

It creates still images, not video, animation, or editable layered design files.
In AISVIT, this model currently supports 1:1, 3:2, and 2:3 only, so extra-wide or story-style canvases are better handled by other models or tools.
Even with stronger text rendering, spelling, tiny typography, and exact layout details may still need proofreading and a few iterations.
Transparent background output works best with PNG or WEBP and usually benefits from medium or high quality. Low is better suited to quick drafts.
This integration does not expose a layer-based editor or mask workflow, so precise local changes still need to be described through prompts and references.

How to use this model

The practical workflow is simple: give the model a short, concrete request in plain language first, then turn on only the settings that materially improve the result or the budget tradeoff.

Simple workflow

Write the prompt in plain language: what should be in the frame, the style, lighting, composition, materials, mood, and any exact words that must appear if the image includes text.
If the image needs readable text, keep the wording short, place it in quotation marks, and mention the asset type, for example poster, package front, infographic, banner, slide, or mockup.
Choose the aspect ratio for the use case. 1:1 works for square posts, 3:2 is useful for most horizontal creatives, and 2:3 fits vertical posters and covers.
For editing, upload one or more input images and say directly what should change and what must stay the same. If a face, logo, or product silhouette should be preserved, state that explicitly.
Choose Quality. Low is good for quick drafts and testing, Medium is a balanced default, High is better for more polished final visuals, and in AISVIT Auto reserves the same credit level as High.

Supported inputs

Required: a text prompt.
Optional: one or more input images for image-to-image editing, style transfer, compositing, or reference-based revision.
The safest upload formats in AISVIT are JPG, PNG, and WEBP.
In AISVIT, this model does not expose a separate mask editor or inpainting brush, so local edits should be described directly in the prompt.

What you get

From 1 to 10 generated images depending on the Number of images setting.
PNG, JPEG, or WEBP output.
Supported frame shapes: 1:1, 3:2, and 2:3.
Optional transparent background when Background = transparent and the output format is PNG or WEBP.