The quality of the image really depends on the quality of the prompt, and a LOT of cherry picking. I find that big sleep is also a better model than the one li

The quality of the image really depends on the quality of the prompt, and a LOT of cherry picking. I find that big sleep is also a better model than the one linked here (deep daze), generally. I’ve generated several hundred images myself and found a few real treasures. Here’s a few of my personal favourites: “A painting of a murder in the style of Monet” [0] “A photo of fellas in Paris” [1] “A painting of Thanos wearing the Infinity Gauntlet in the style of Rembrandt” [2] I definitely agree that in the general case the examples are underwhelming, but I believe there is a lot of potential here. Personally I’m super excited to unlock the potential of human-guided, AI-assisted creative tooling. Some Colab notebooks let you active explore the latent space of a model to direct the results where you want them to go. As the generate-adjust feedback loop gets tighter we’re gonna see some crazy things. [0]: https://www.reddit.com/r/MediaSynthesis/comments/l4hbkl/texttoimage_for_text_a_painting_of_a_murder_in/ https://www.reddit.com/r/MediaSynthesis/comments/l4hbkl/text... [1]: https://www.reddit.com/r/MediaSynthesis/comments/l4eg64/texttoimage_for_text_a_photo_of_fellas_in_paris/ https://www.reddit.com/r/MediaSynthesis/comments/l4eg64/text... [2]: https://www.reddit.com/r/deepdream/comments/l4hq22/texttoimage_for_text_a_painting_of_thanos_wearing/ https://www.reddit.com/r/deepdream/comments/l4hq22/texttoima...