GPT Image 2.5: Enhanced Precision and Speed

It solves the problem of fixed positions for objects and people, which was pointed out in the previous version, ensuring stability in image tasks where the same object or person appears repeatedly.

These improvements help users obtain desired images faster and more accurately. In particular, it contributes to maintaining consistency and increasing work efficiency even when fine adjustments are needed.

This resolves issues with position or size changes that occurred in the existing GPT Image 2 version, reducing user inconvenience.

This consistency feature greatly enhances the efficiency of editing continuous images, such as cartoons or characters, especially when creating videos. Since elements appearing across multiple frames do not need to change position each time, it reduces post-production effort.

For example, consistent results can be obtained even in complex scenes like multi-city text and cube rotation. This demonstrates that the AI can understand and reproduce the spatial relationships of elements within an image more accurately.

GPT Image 2.5 is divided into two models, 'Sunburst' and 'Flare,' which can be selected according to their intended use. The Sunburst model specializes in advanced image generation, providing fine details and high-quality results.

On the other hand, the Flare model focuses on speed optimization, maintaining the same quality as the existing GPT Image 2 while doubling the image generation speed, making it efficient when fast work is required.

Skin texture, wrinkles, and even hair waves are expressed almost identically to real photos.

In particular, it is possible to realistically reproduce the characteristics of a person by reflecting even subtle skin troubles such as acne.

GPT Image 2.5 is equipped with the ability to restore black-and-white photos to color and naturally express out-of-focus (depth of field) effects. It applies colors while preserving the original photo's atmosphere and precisely distinguishes the perspective between the subject and background to apply the out-of-focus effect.

In a test composing personal photos with other images using GPT Image 2.5, an attempt was made to superimpose a specific person's profile picture onto another person's wedding photo data. The method involved extracting the faces of two individuals and placing them in a new situation.

However, in the composite results, the original person's features were not completely naturally integrated, and an unnaturalness in facial expressions occurred. In particular, skin tone, expression, and lighting did not blend with the surrounding environment, giving an artificial impression.

This indicates that while AI is excellent at generating new person images, it still requires correction work when compositing a specific person's face into existing images.