Improved image generation with ChatGPT

Intro Recently, ChatGPT's image generation capabilities have seen significant technical upgrades, especially with the integration of DALL·E 3 and the introduction of inpainting/editing features. Here's a breakdown of what's changed: Overview of technical improvements 1. DALL·E 3 Integration Higher fidelity and realism: DALL·E 3 produces more accurate, coherent, and photorealistic images compared to earlier versions. Better understanding of prompts: It now handles complex, nuanced instructions with improved consistency, generating visuals that closely match detailed descriptions. 2. Image Editing (Inpainting) On-canvas editing: You can now modify parts of an existing image by providing new instructions (e.g., “make the sky darker” or “replace the cat with a dog”). Consistency: Edited images maintain the original style, lighting, and layout much better than before. 3. Prompt-to-Image Transparency Unlike older models, the prompt used to generate the image is now hidden in the UI but still processed with higher semantic understanding under the hood. Some experiments I ran some tests on certain topics I had problems with in the past. Find some results below. Better realism To test the improvements of higher quality and more realism, I tried the following prompt Create a photorealistic image of an international astronaut on Mars wearing a giant inflatable duck as a belt. Result Iteration With the old model, iterating an image often led to different images. With the new update it works way better. First image prompt Create an cartoon image of a cat sitting of a bench in the park reading newspaper. Result Second prompt to modify previous generated image Replace the cat with a dog Result Texts In the past, images which contain text, often failed for me. This has been improved, too. Prompt Create the word "aheadware" in a cloudscape with illuminated light. Result Transparency When creating logos, icons etc. it is useful, when the created PNG has a transparent background. This was not possible so far. This is now possible which opens lots of new possibilities IMHO. Prompt Create an image with transparent background with a stickman scratiching its head. Result Summary These improvements enable more precise and realistic visual outputs, making it easier to bring complex concepts to life. Key strengths include Support for transparent backgrounds, ideal for professional use in design and web development. Significantly improved text rendering within images, allowing for clearer and more consistent typography. The ability to iterate on images, modifying elements while preserving the overall style and composition. Conclusion The new capabilities are outstanding and unlock a wide range of professional applications — from design mockups and marketing assets to UI components — all created seamlessly through natural language prompts. What are your thoughts and experiments with the latest version of image generation. Drop in the comments.

Apr 3, 2025 - 17:52

Intro

Recently, ChatGPT's image generation capabilities have seen significant technical upgrades, especially with the integration of DALL·E 3 and the introduction of inpainting/editing features. Here's a breakdown of what's changed:

Overview of technical improvements

1. DALL·E 3 Integration
Higher fidelity and realism: DALL·E 3 produces more accurate, coherent, and photorealistic images compared to earlier versions.

Better understanding of prompts: It now handles complex, nuanced instructions with improved consistency, generating visuals that closely match detailed descriptions.

2. Image Editing (Inpainting)
On-canvas editing: You can now modify parts of an existing image by providing new instructions (e.g., “make the sky darker” or “replace the cat with a dog”).

Consistency: Edited images maintain the original style, lighting, and layout much better than before.

3. Prompt-to-Image Transparency
Unlike older models, the prompt used to generate the image is now hidden in the UI but still processed with higher semantic understanding under the hood.

Some experiments

I ran some tests on certain topics I had problems with in the past. Find some results below.

Better realism

To test the improvements of higher quality and more realism, I tried the following prompt

Create a photorealistic image of an international astronaut on Mars wearing a giant inflatable duck as a belt.

Result

Iteration

With the old model, iterating an image often led to different images. With the new update it works way better.

First image prompt

Create an cartoon image of a cat sitting of a bench in the park reading newspaper.

Result

Second prompt to modify previous generated image

Replace the cat with a dog

Result

Texts

In the past, images which contain text, often failed for me. This has been improved, too.

Prompt

Create the word "aheadware" in a cloudscape with illuminated light.

Result

Transparency

When creating logos, icons etc. it is useful, when the created PNG has a transparent background. This was not possible so far. This is now possible which opens lots of new possibilities IMHO.

Prompt

Create an image with transparent background with a stickman scratiching its head.

Result

Summary

These improvements enable more precise and realistic visual outputs, making it easier to bring complex concepts to life.

Key strengths include

Support for transparent backgrounds, ideal for professional use in design and web development.
Significantly improved text rendering within images, allowing for clearer and more consistent typography.
The ability to iterate on images, modifying elements while preserving the overall style and composition.

Conclusion

The new capabilities are outstanding and unlock a wide range of professional applications — from design mockups and marketing assets to UI components — all created seamlessly through natural language prompts.

What are your thoughts and experiments with the latest version of image generation. Drop in the comments.