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OpenAI’s new AI image generator pushes the limits in detail and prompt fidelity (arstechnica.com)

submitted 1 year ago by Voyager@psychedelia.ink to c/technology@lemmy.world

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On Wednesday, OpenAI announced DALL-E 3, the latest version of its AI image synthesis model that features full integration with ChatGPT. DALL-E 3 renders images by closely following complex descriptions and handling in-image text generation (such as labels and signs), which challenged earlier models. Currently in research preview, it will be available to ChatGPT Plus and Enterprise customers in early October.

Like its predecessor, DALLE-3 is a text-to-image generator that creates novel images based on written descriptions called prompts. Although OpenAI released no technical details about DALL-E 3, the AI model at the heart of previous versions of DALL-E was trained on millions of images created by human artists and photographers, some of them licensed from stock websites like Shutterstock. It's likely DALL-E 3 follows this same formula, but with new training techniques and more computational training time.

Judging by the samples provided by OpenAI on its promotional blog, DALL-E 3 appears to be a radically more capable image synthesis model than anything else available in terms of following prompts. While OpenAI's examples have been cherry-picked for their effectiveness, they appear to follow the prompt instructions faithfully and convincingly render objects with minimal deformations. Compared to DALL-E 2, OpenAI says that DALL-E 3 refines small details like hands more effectively, creating engaging images by default with "no hacks or prompt engineering required."

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[–] lloram239@feddit.de 2 points 1 year ago* (last edited 1 year ago) (1 children)

Seems to be about 50/50, quite a few good looking hands, but still plenty of crocked fingers with some prompts. I think they might need training on video or 3D models, the structure of hands is probably difficult to figure out just from 2D images.

[–] AlmightySnoo@lemmy.world 1 points 1 year ago

Yup that's the thing with most of generative AI models, they have no implicit 3D modelling of the world. So depending on perspective, a real 2D image may give the impression that there are 2 or 3 fingers only but the model doesn't know that that's just because of perspective.