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Is there a way to have current AI tools maintain consistency when generating multiple images of a specific creature or object? For example, if there are images of 'Dr. Venom' they need to look similar, or if there are images of the same space ship.
Earlier quoted context omitted.
Yes, right now you have 3 options: - dreambooth, ~15-20 minutes finetuning but generally generates high quality and diverse outputs if trained properly, - textual inversion, you essentially find a new "word" in the embedding space that describes the object/person, this can generate good results, but generally less effective than dreambooth, - LORA finetuning[1], similar to dreambooth, but you're essentially finetunin…
> Is there a way to have current AI tools maintain consistency when generating multiple images of a specific creature or object? ...but, all of these can't maintain consistency. All they can do is generate the same 'concept'. For example, 'pictures of batman' will always generate pictures that are recognizably batman. However, good luck generating comic cells; there is nothing (that I'm aware of) that will let you ge…
what i mean is, assuming this technology moves forward, and GPUs continue increasing VRAM as they have, and enough people are interested in doing extremely detailed tagging with small shapes, the sorts of issues you're talking about will go away over time. Or, alternatively, someone or a group could develop a way to scan hundreds of outputs and collate them according to similarity, allowing a human to use batches that are similar enough to do something like short comics or whatever. As it stands, when i do txt2img or img2img i will run off 20-40 images. I'm also wondering how much seed fiddling could be done - when i first got "Anything v3.0" every image was some person sitting at a dining table near a window with food in front of them, dozens in a row. I have no idea how it happened, but there was enough global cohesion between images i thought it was trained on just that for the first hour or so.
Each of the below images is a set of 4 images (i think generally called a grid in SD), so each image is a set of 4 "2 panel comic strips" - they aren't really intended to flow between the grid squares, but you'll notice that the clothing, hairstyles, etc between strips matches, even if they don't match between individual images. My personal favorite - and the one i used for something online, is the top left set in the first .png https://i.imgur.com/BWek3YI.png https://i.imgur.com/LHchsj5.png
P.S. if anyone knows what the source art could possibly be, let me know?
It's a decent writeup on the process of trying to generate specific images using text prompts, I guess, with the conclusion that it's really hard, and in some cases basically impossible (hence the lack of the three forehead eyes).
Is there a way to have current AI tools maintain consistency when generating multiple images of a specific creature or object? For example, if there are images of 'Dr. Venom' they need to look similar, or if there are images of the same space ship.
Honestly, really disappointing, especially since the author forces you to watch the video to see the final image - which looks nothing like the shoulder-spiked, triple-forehead-eye'd villain of the game. Spoiler, the generated image is just a threatening looking green dude with two different coloured eyes. It's a decent writeup on the process of trying to generate specific images using text prompts, I guess, with the…
At last we have the tech to do a cinematic, photorealistic version of Zero Wing! For great justice!!!
Honestly, really disappointing, especially since the author forces you to watch the video to see the final image - which looks nothing like the shoulder-spiked, triple-forehead-eye'd villain of the game. Spoiler, the generated image is just a threatening looking green dude with two different coloured eyes. It's a decent writeup on the process of trying to generate specific images using text prompts, I guess, with the…
In contrast, I’ve been using chatGPT multiple times daily
