{"id":3315,"date":"2024-11-26T09:37:12","date_gmt":"2024-11-26T09:37:12","guid":{"rendered":"https:\/\/www.batteriesfast.co.uk\/blogs\/?p=3315"},"modified":"2024-11-26T09:37:13","modified_gmt":"2024-11-26T09:37:13","slug":"openai-dall-e-3-review-generative-ai-for-creating-fantastical-and-fun-illustrations","status":"publish","type":"post","link":"https:\/\/www.batteriesfast.co.uk\/blogs\/archives\/3315","title":{"rendered":"OpenAI Dall-E 3 review: Generative AI for creating fantastical and fun illustrations"},"content":{"rendered":"\n

One of the earliest text-to-image tools, it\u2019s the best we\u2019ve tested. With Dall-E, OpenAI<\/strong> blazed the trail for generative AI<\/strong> that converts text prompts to images. The competition is stiffer now, but version 3 of the service still holds up.<\/p>\n\n\n\n

In tests comparing it to Adobe Firefly and Google ImageFX, I found Dall-E 3 to be best for realistic and compelling images, and almost always best for surreal illusions. It\u2019s a bit slow, but it\u2019s most likely to give you good, usable results on the first try, especially if you\u2019re looking for fun, not floppy AI<\/strong> illusions.<\/p>\n\n\n\n

Dall-E is also best at encouraging you to go wild and explore what\u2019s possible. I believe designers, artists, programmers, and others have the ability to turn their visions into reality, but I\u2019m not that skilled. So for me, Dall-E is a wonder.<\/p>\n\n\n\n

OpenAI says it may use data submitted to Dall-E 3 to improve the model\u2019s performance, that it shares content with a select group of \u201ctrusted service providers,\u201d and that it doesn\u2019t sell data or share content with third parties for marketing purposes. You can also submit a privacy request to have OpenAI stop using your data for training or delete your account. For more information, see OpenAI’s general privacy FAQ and main privacy policy.<\/p>\n\n\n\n

Here are my further findings about Dall-E 3.<\/p>\n\n\n\n

How CNET tests AI<\/strong> image generators<\/p>\n\n\n\n

CNET takes a practical approach to reviewing AI image generators. Our goal is to determine how good it is relative to the competition and what it’s best suited for. To do this, we give the AI \u200b\u200bprompts based on real-world use cases, such as rendering in a specific style, combining elements into a single image, and handling long descriptions. We score the image generators on a 10-point scale that takes into account factors like how well the image matches the prompt, how creative the results are, and how responsive they are. Check out How We Test AI to learn more.<\/p>\n\n\n\n

How good is the image? How well does it match the prompt?<\/p>\n\n\n\n

ChatGPT is the best text-to-image AI<\/strong>tool I’ve tried, producing useful, interesting, and believable results. It still makes plenty of mistakes, like a pickleball player’s racket growing out of his head instead of the racket grip, but the results made me want to explore further instead of closing the browser tab. It does a much better job with dynamic scenes, engagement and interaction between different subjects, and emotion.<\/p>\n\n\n\n

ChatGPT is a big part of Dall-E. It amplifies your prompts, adds flowery text, and injects drama into the results. It also fosters a conversational style of use: You can request images, then request adjustments without resubmitting the entire query<\/p>\n\n\n\n

This helps Dall-E 3 outperform competitors, including Adobe’s Firefly and Google’s ImageFX, in transforming your prompts into what you want and assembling multiple elements correctly<\/p>\n\n\n\n

The AI-generated images show<\/p>\n\n\n\n

Very engaging. Dall-E 3 produces vivid, compelling images over and over again. Even with the issues, I often enjoyed them. They sometimes made me laugh and observe the details.<\/p>\n\n\n\n

Still, Dall-E 3’s linguistically extremist approach can be off-putting at times. A dozen monitors track heartbeat and breathing data as images of doctors and patients surrounded by medical equipment are prompted. One of the computers has a keyboard with about 100 keys.<\/p>\n\n\n\n

AI-generated<\/strong> retro TV image with a wall full of retro TV shows<\/p>\n\n\n\n

Dall-E 3 produced this image of a wall full of retro TV sets and retro TV shows.<\/p>\n\n\n\n

You can ask for the image to be set to widescreen, portrait, or landscape, and the AI \u200b\u200bwill do it. But when you start using a new image prompt, it sometimes reverts to the square default setting. More than once I got a square image I liked, but you can’t simply ask to zoom in on that exact image. (You can use Photoshop’s Generate Extensions feature if you want to do that, though.)<\/p>\n\n\n\n

How quickly do the images arrive?<\/p>\n\n\n\n

I guess there’s always a benefit to waiting. The Dall-E 3 usually takes 20 or 30 seconds to take a picture. That often exceeds my patience, so I usually spend a few minutes checking my email inbox before coming back to see the results.<\/p>\n\n\n\n

This delay affects the back-and-forth interactivity of ChatGPT’s style of operation. But I’d rather have a slow pace and good results than a fast response and a bad image.<\/p>\n\n\n\n

GenerativeAI <\/strong>pushes computing technology to its limits. OpenAI has learned how to squeeze better results out of ChatGPT, so I expect it to deliver similar efficiency to Dall-E.<\/p>\n\n\n\n

Conclusion<\/p>\n\n\n\n

Dall-E 3 is an impressive tool that can inject some creative fun into your life and do useful image creation work. Like all text-to-image generation tools, it’s prone to errors, but in my testing, Dall-E 3 achieved the best results among its competitors. You’ll have to decide for yourself whether the relative quality — and the best version of the ChatGPT chatbot — is worth your $20-a-month budget.<\/p>\n\n\n\n

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One of the earliest text-to-image tools, it\u2019s the best we\u2019ve tested. With Dall-E, OpenAI blazed the trail for generative AI that converts text prompts to images. The competition is stiffer now, but version 3 of the service still holds up. 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