221–230 of 488 posts
Are there any standards/frameworks emerging on how to write texts/prompts?
I'm not really sure I know how to use these tools. I tried the following prompt: "elon musk giving donald trump a massage using pizza sauce instead of oil, in a majestic room filled with flowers and golden toilets" ...and the result was a crappy AI-generated picture of not-quite donald trump holding a terrible rendering of a pizza, and some hands sticking out of random places. There were some red flowers in the pictu…
It's only good at prompts that ask it to do a non-photorealistic artistic style. All the photorealistic attempts are bad.
I wish people would stop exaggerating or making statements without some insight behind them.
I've seen hundreds, if not thousands of photorealistic result that range from acceptable to remarkably good.
One example it took seconds to find:
https://lexica.art/prompt/3fbc30ee-ca0f-42f6-8ea5-6890d469ab...
Regarding the ethics. Thought experiment: I look at a copyrighted image, get inspiration, and then draw a new image (which is not the same as the copyrighted image). Is that ethical? But if I do this millions of times, after looking at millions of copyrighted images, is it still ethical (as long as I don't recreated copyrighted images)? Tough questions!
In my opinion it’s just a technical side of ethics, which has much less value than the main side: what it does to an author. If they suffer from these copies (morally, financially, spiritually, etc) without a way to offset it, then it is not ethical.
So since automated driving will result in financial suffering to those working in trucking and Uber and whatnot, automating driving is not ethical?
I'm not really sure I know how to use these tools. I tried the following prompt: "elon musk giving donald trump a massage using pizza sauce instead of oil, in a majestic room filled with flowers and golden toilets" ...and the result was a crappy AI-generated picture of not-quite donald trump holding a terrible rendering of a pizza, and some hands sticking out of random places. There were some red flowers in the pictu…
> [...] It takes a while to get a feel for what prompts work and how to phrase things. I suggest browsing https://lexica.art/ and using some prompts from there as a template.
> Stable Diffusion has been trained on millions of copyrighted images scraped from the web. My brain has been trained on even more copyrighted material. Every book I read, every tv show I watch, the toys I played with as a child. It's hard to imagine that I could come up with anything that is not inspired by copyrighted work.
1: you cannot produce thousands of detailed pictures in a day, this program can. The argument gets pretty clear if you transpose it to other objects, ie why is it fair to ride a bicycle in the sidewalk but not drive a car?
2: copyright laws. You may not see a picture and imitate it. How do you know this AI didn't just imitate one of the million pictures it saw? And if you distribute it and the author wants to sue, who should it sue? The author of the AI or the person who prompted it?
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Surely the best people to create new art from models like this would be artists themselves? Wouldn't this create more jobs for artists? It's just a different tool
That depends on how easy it is to use the new tools. Getting higher level languages and various libraries/frameworks didn't make coders obsolete, because there was still tons of work to do at a "higher level" that required algorithmic/engineering-style thinking. Yes, previously difficult tasks got a lot easier, but that just meant that even more ambitious projects could be tackled, and that was useful. In contrast, i…
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For every tool, a better output will always be created by people who specialize in a craft. Just as photoshop revolutionized photography, to this day you can tell the difference easily between and bad 'shops. In video games upon release everyone is bad and its an even playing field. But as people practice and gain experience they improve their usage, refine their approaches. You eventually see metas develop and best…
Yes, but art school just turned into a one-semester course.
SD is limited to only digital art first of all, so let's not get too over-excited and hyped around this tool just yet.
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Pretty much any ethical discussion about race is suppressed on HN because this is a “Silicon Valley neo rationalist” site Liam Kofi Bright outlines this with the Represser archetype in his new essay “White Psychodrama”
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Have we seen similar behavior in the usage of older GPT-3 based tools, for example in copywriting or using Copilot? How's the story there?
There's one huge difference between Copilot and stuff like this. Art that's 98% correct is awesome. Code that's 98% correct is completely useless. I think Copilot is going to live off hype for a while then tank and be looked back on as a failed experiment. Whereas I think that this kind of AI will eventually get to a point where it's extremely useful and could change up certain industries (game assets, marketing mate…
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They absolutely do. What they don’t do is mechanistically clone compressed mathematical representations of input data. The human part of the creative process could very well be a distinguishing feature, legally.
It will be hard to tell whether an image was created by a “human creative process” or AI. Will the same image be legal if a human made it but not if it was created by Stable Diffusion? How will someone even know, short of a legal discovery process?