> For the complete documentation index, see [llms.txt](https://docs.pletor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pletor.ai/models/image-models/previous-generation-image-models/gpt-image-1.5.md).

# GPT Image 1.5

## Overview

Evolution of [GPT Image 1](/models/image-models/previous-generation-image-models/gpt-image-1.md).

Key Updates:

* **Improved text rendering:** Handles denser and smaller text with better legibility.
* **Better image editing:** Change specific elements without regenerating the entire scene.
* **Identity preservation:** Maintains facial likeness and composition across edits.
* **Affordable quality:** Low quality mode delivers decent results at minimal cost (1 credit per generation).
* **Much faster than GPT Image 1:** Up to 4x faster generations.

### Ideal use cases

* **Rapid iterations**: Quick concept exploration using Low quality mode before committing to finals.
* **Text-heavy graphics**: Infographics, banners, and visuals requiring legible typography.
* **Image editing and asset variations**: Product variants, seasonal updates, localization without starting from scratch.
* **Style transfers and try-ons**: Clothing changes, filters, or hairstyle tests while maintaining subject consistency.

### Weaknesses

* With the highest quality parameters, it is worse than [Nano Banana Pro](/models/image-models/nano-banana-+-pro.md) and [Seedream 4.5](/models/image-models/seedream-4.5.md) (for a similar cost).
* Limited aspect ratios (only 3 options vs. 10+ on other models).
* 3 reference images maximum.
* Yellow tint tendency, images can have a warm color cast by default. Pletor provides a dedicated parameter to remove this effect from generated visuals.
* Commercial aesthetic bias: outputs feel polished, less authentic for UGC-style content.

***

## How to use effectively

**For fast iterations:** Set quality to "Low" when exploring concepts. You'll get results in seconds at minimal cost, and the output quality is often sufficient for client reviews or internal alignment.

**For text-heavy designs:** Put exact copy in "quotes" and describe the typography style. Be specific: "Bold sans-serif, centered, high contrast" helps ensure legibility. Set quality to "High" for dense layouts.

**For precise edits:** Make one change at a time rather than rewriting entire prompts. Reference multiple input images by number: "Apply the style from image 1 to the subject in image 2."

**For consistent characters:** Always upload reference images when you need identity preservation across multiple generations. The model excels at maintaining facial likeness when given a clear reference.