DALL·E 3 is the culmination of several research advancements, both from within and outside of OpenAI. Compared to its predecessor, DALL·E 3 generates images that are not only more visually striking but also crisper in detail. DALL·E 3 can reliably render intricate details, including text, hands, and faces. Additionally, it is particularly good in responding to extensive, detailed prompts, and it can support both landscape and portrait aspect ratios. These capabilities were achieved by training a state-of-the art image captioner to generate better textual descriptions for the images that we trained our models on. DALL·E 3 was then trained on these improved captions, resulting in a model which heeds much more attention to the user-supplied captions. You can read more about this process in our research paper⁠(opens in a new window).

We use a multi-tiered safety system to limit DALL·E 3’s ability to generate potentially harmful imagery, including violent, adult or hateful content. Safety checks run over user prompts and the resulting imagery before it is surfaced to users. We also worked with early users and expert red-teamers to identify and address gaps in coverage for our safety systems which emerged with new model capabilities. For example, the feedback helped us identify edge cases for graphic content generation, such as sexual imagery, and stress test the model's ability to generate convincingly misleading images.

As part of the work done to prepare DALL·E 3 for deployment, we’ve also taken steps to limit the model’s likelihood of generating content in the style of living artists, images of public figures, and to improve demographic representation across generated images. To read more about the work done to prepare DALL·E 3 for wide deployment, see the DALL·E 3 system card.⁠

User feedback will help make sure we continue to improve. ChatGPT users can share feedback with our research team by using the flag icon to inform us of unsafe outputs or outputs that don’t accurately reflect the prompt you gave to ChatGPT. Listening to a diverse and broad community of users and having real-world understanding is critical to developing and deploying AI responsibly and is core to our mission.