Without further ado, here are some cool images I drew with DALL-E 2! I hope if you needed some inspiration for prompts, you will be able to copy the ones you like the most and tune them to your own needs. However, I won’t try to predict the capabilities or effects future models will have, I’ll leave that to more experienced people on twitter. I hear stable diffusion, which is roughly equivalent in performance to DALL-E 2, already runs on 5GB of VRAM, and even though that is still above my budget (I think my GPU has 4GB), I find it extremely impressive. With that said, in general I found DALL-E 2 to be eerily effective, a lot better than I would have predicted a neural network to be even a year ago, and I really can’t imagine what we will have in 2 or 3 years, available for free download and consumer use. Given how much better DALL-E 2 is, you won’t need to do that much prompt engineering as in previous models, so this is why my guide is a lot simpler this time around. This was not possible 6 months ago and I was not expecting it to happen so quick. In fact DALL-E 2 gave me satisfying images for all prompts except one on the first try, though they not always fit the description well if it is complex enough (more on that later). I expect this will be less necessary as models get cheaper and better. One thing I do is trying many prompts out on Craiyon or other free models first, and then sending the ones that perform better (to my taste) to DALL-E 2, as I had a limited budget in comparison. I also played around a lot with style cues, usually keeping the ones that yielded the most endearing pictures. The hat goes in the head, these are two characters and each has its own adjectives, blue sphere over green cube, etc.īecause of that, many of my first experiments were about composing scenes with several modifiers and seeing how the model handled each piece of the input. The first thing that surprised me with this new model is how, unlike older ones like DALL-E mini, it generally understands prepositions and simple scene composition. Otherwise in the worst case scenario, you may get a red panda behind a helmet that covers its furry face and nobody will know its secret! For instance if you want a red panda knight, instead of red panda knight you may want to write “A digital illustration of a red panda wearing a knight armor, with sword”. Generally, remember to describe the thing you want as specifically as you can. A digital illustration of X, 4k, detailed, trending in artstation,.Low-poly render of X high resolution, 4k.However given how good DALL-E 2 is at photorealism, I did try my hand at some photograph prompts.Īs a summary, here are some of the prompt templates that have yielded the best results for me: Personally, I like asking these models for fantasy illustrations, landscapes and that kind of stuff, as I find that area less explored than, say, hyper realistic renders or popular media characters. Prompting the model and seeing what it comes up with is almost addictive, and creates this beautiful dopamine feedback loop that just keeps you glued to your keyboard until you’ve spent all your credits. To anyone on the fence about trying DALL-E 2, I can genuinely recommend it. I’ve tried multiple different prompts, style cues, etc., and I’ll keep adding the ones that generate the coolest images there. I won’t go into how text-to-image models work here, and for how to write prompts for DALL-E I recommend you see my prompt guide for AI art (or my StableDiffusion prompt guide, where I also keep adding new ‘tried and tested’ prompts as I discover them. OpenAI’s Dall-E 2 became available in beta a month ago, and as a big fan of generative text-to-image models I instantly joined the waitlist.Īfter a little less than a month, the email arrived and I was notified I was finally allowed to use DALL-E 2! OpenAI gave me 50 free credits, with a monthly refill of 15 more from September onwards. DALL-E 2 Art: Experiments with Prompts or How I Got My New Wallpaper
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