171–180 of 474 posts
Still can't make sprite sheets :(
The key is making them one frame at a time, rather than asking for the whole sheet. Adherence frame-to-frame with a reference image is really good, so just prompt with the previous + direction. I finally got Nano Banana to make fairly decent fluid animations that way.
The "composite party photo", while impressive, shows that still the miniscule details are being lost, like the teeth structure of the guy in the middle or the fact that the guy on the left is holding the cup with three fingers. Wondering why they chose this edit for the showcase.
Still can't make sprite sheets :(
You can get semi-decent sprite work out of GenAI models, but you still have to put in some manual work (scale normalization, palette reduction, grid alignments, etc). It's definitely not "out-of-the-box" yet. https://mordenstar.com/other/hobbes-animation
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The sheer waste that accompanies image and video genAI is actually terrifying. I challenge OpenAI to put a "your carbon footprint" field next to each generation. If you have nothing to hide, more information is surely better, right?
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I wish I could do it better. There seems to be a lot of variability. This episode of radiolab on the topic is fascinating: https://radiolab.org/podcast/aphantasia/transcript?utm_sourc...
The apple scale: https://www.reddit.com/r/HelloInternet/comments/f0wuej/are_y...
Omg, I love how the first examples just show how easy you can fake things. Fake being at a party with your friends. Didn't make your bed, no problem, just fake it. The sad part is my mother would love "remixing" my old child photos of me.
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I think @conradludgate was alluding to that we have so much of AI slop these days. But I see your point too. I too like to generate cute and funny images and share it with my friends and family. But this being done at scale can lead to overall degradation of the online experience.
plus the energy cost - https://www.technologyreview.com/2023/12/01/1084189/making-a... >Generating 1,000 images with a powerful AI model, such as Stable Diffusion XL, is responsible for roughly as much carbon dioxide as driving the equivalent of 4.1 miles in an average gasoline-powered car. In contrast, the least carbon-intensive text generation model they examined was responsible for as much CO2 as driving 0.0006 mi…
For context that means a days worth of image generation emits about the same amount of carbon dioxide as a single transatlantic flight (New York to London). There are approximately 1500 transatlantic flights per day.
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Okay, but firstly golf is probably the most useless sport ever and secondly there is more than one AI datacenter. Yes, some people have fun, but most of the "fun" nowadays is just endless mindless consumption.
How people derive fun is different from person to person.
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The sheer waste that accompanies image and video genAI is actually terrifying. I challenge OpenAI to put a "your carbon footprint" field next to each generation. If you have nothing to hide, more information is surely better, right?