DALL-E Chess in Jungle and Dunes
imgur.com
imgur.com
Just generating images is barely doing the tools justice though - you can create entire mini movies with it, like SALT (a 70s sci-fi adventure happening on Twitter): https://twitter.com/SALT_VERSE/status/1536799731774537733
DALL-E's inpainting feature is incredibly powerful to generate very large scenes: https://twitter.com/fabianstelzer/status/1545752145273802752
Hard to believe that we're only beginning to scratch the surface here...
To the best of my understanding, DALL-E offers limited control and cannot be compared to a brush with paint, a photocamera, a virtual canvas for curves for illustration, a coding console.
Why? Because the weight of the user, its "importance", its "impact", is limited with that tool. (A commissioner is not an artist. A photographer may be.)
As HN member Moe wrote, «Bad analogies are like Vietnam».
a reading of dreamtigers by jorge luis borges
images created using @openaidalle. sequencing and morphing in #python with credit to András Jankovics morphing library [github.com/jankovicsandras/autoimagemorph]. featuring borderlands granular synth (artist template: @kingbritt), other desert cities delay by audio.damage , #rymdigare reverb, mixed in #kymaticaaum.
headphones recommended, awards eligible
(text here: thefloatinglibrary.com/2008/09/02/dreamtigers/ )
1) the amount of human curation is huge. For every 1 good image shared there are dozen of utter crap not shared
2) Dalle fails in some very systemic ways that make it completely unsuitable for vast swathes of image generation (for instance the "N kittens problem" . Dalle is amazing at generating a picture of 1 kitten. Dalle is dreadful a generating a picture of 8 kittens and that is totally fundamental to how it works, not a bug that can be worked out with time.) Also basically anything that requires recognisable detail in the background, Dalle falls flat.
3) prompt parsing is simultaneously hit and miss as well as laughably primitive. This is the "without" problem. Ask for a picture without some feature and there is a good chance you will get that thing in the picture.
Do we know if regulators are looking into Copilot and DALL-E? To which extent do we want computer doing what human do? I mean.. Art? Feels like bad taste to me.
Your competitors (researchers, companies, or countries - depending on granularity) certainly won't.
It's a good thing.
So, when you move human involvement up to a higher layer of abstraction, it’s possible that the economics of the whole effort will be fundamentally transformed. Meaning, if these systems displace human artists, copyright itself may cease to be a motivator of economic activity—removing a significant incentive for the production of new art.
Also, keep in mind that:
(1) there are likely to be many fewer human custodians of systems like this who sustain themselves economically than there are artists who currently sustain themselves by producing new art; and
(2) these systems are only as good as the artistic inputs that are fed to them, and is very unlikely that the contributing artists gave their consent or were compensated for their involvement in any way.
And regarding point 2: do you think human artists are as good as they are without already having seen lots of great artworks produced by others? Human artists don't create art from an empty vacuum of nothingness either.
Art benefits humanity not only because we consume it, but also because we produce it.
Making art is part of what makes us human.
No doubt that AI-driven tools can be leveraged by artists to create interesting things, in the same way that visual artists have used tools like Photoshop.
But there is something much more profound happening with DALL-E, etc. As I mentioned above, these AI systems simultaneously depend on human artists to populate its training corpus, while making it much less likely that these artists will be able to make a living producing art.
Even if other artists working higher-up in the value chain benefit from these systems, you are likely to see fewer professional illustrators and visual artists because these systems exists.
Something will be lost. We can hope that what we gain in return will be of equal value.
"Widely used" seems to negate your point here, no? I would expect a machine to use widely used techniques, rather than ones specific to individual artists. I don't know about you, but I've never seen DALL-E replicate an art style that isn't popular enough to be common knowledge.
> Some of them are even above the average quality and that's scary too.
Is your suggestion to make systems like DALL-E worse? Or to forbid the creation of systems that exceed a certain measurable performance?
Which is unfortunate, because they already arent that valuable (save for the top ~1%). But it's not a good reason to oppose DALL-E.
Close but not exactly. How do they feel about it?
At some point if we all feel bad, well this is very bad.
Maybe we should ban DALL-E for the same reasons we ban hard drugs: for the health of the community.
Many of us will become redundant thanks to automation in the next few decades. That's just how it is.
I wanted a very particular, well defined scene:
- A pig and a donkey play poker at the poker table. - The pig is using a computer while playing and we can see the screen of the pig. - The pig must look like a pig - The donkey must look like a donkey - The cards and chips must look like chips and cards
The dall-e simply can't deliver. Nothing is even remotely close to what I want. The best things I came up with after dozens of attempts (I bought extra credits) is something like this: https://i.gyazo.com/4bec0651b78f29a45c291a7f48f468e4.jpg
Kinda there, but the pig doesn't look like a pig or a donkey doesn't look like a donkey, or it's not a pig that has a computer and the cards and chips never look like cards and chips.
So in short - nobody is losing their jobs yet I think.
If the pig or donkey doesn't look right, you could erase just that part of the image using the same prompt to get a different look.
For example, to create the image you want, I would:
1. Start with the basic prompt: "a pig and donkey playing poker"
2. Generate random variations of my favourite image from that to see how far I can get from that.
3. Edit as necessary with the same prompt to get the right look for the pig/donkey.
4. Erase a section of the image next to the pig and use a prompt like "pig using a laptop" to get DALL-E to generate a laptop in that position.
I maybe want to shift my claim. I am not sure that it's impossible to create this particular image but that it's almost certainly cheaper to hire someone to draw the exact image I have in mind.
I think there is also a new proffesion comming: a DALL-E prompter job.
Exactly, except we call this job "Artist" or "Programmer".
Whenever something like this comes along and people decry that it will "replace artists" or "replace programmers"... someone needs to generate the inputs to get what they want. Nothing helps solve the "But I know what I mean" problem. Either it's not good enough to do "general purpose" tasks, or it is, but it needs coaxing and someone who understands interacting with the systems well enough to get the desired output.
As a programmer I love that when I type [i*i for i in range(10)] I can predict the output and that the output will always be the same. I get frustrated if the same action produces unexpected and non-reproducible results.
Good Dall-e prompter is more like a guide who can navigate through the unknowns. He knows how to use seemingly meaningless words to manipulate the beast. I think it's some form of art and at the same time like being a technician of a complex machinery or wild animal trainer.
Chances are that someone with prompt engineering experience could get it to produce the desired output with some more poking and prodding.
It'll certainly raise the lower-end bar for custom illustrations/stock footage.
1. Get close via prompt debugging to what you want (effectively where you are now)
2. Run an image generation pipeline that creates 10,000 images or an infinite stream
3. Run each image through an 'image to text' step for vector similarity filtering
4. Take images that have very similar 'image to text' similarity scores to the original prompt and present to the user.
Once we can run models of this quality locally, it can even be a job that runs overnight and you wake up in the morning to a set of results to look at.
It’s the equivalent of the technological enslavement of most humans who will be told that their inputs used in the AÍ “have no value” while the AÍ aggregates it all.
I suggest that you aim for the day in which critics «cannot differentiate it from a human art piece».
(We already have plenty of contexts in which the layman can be fooled. Think e.g. of "populism" in political discourse.)
"Painting/Digital Art/3D Render] of [Animals/Foxes/Monkeys] playing Chess in [Jungle/Dune/Desert]"
Some inputs were specific: "Capaybara vs Groundhog Chess match" or "Llama vs Panda/Red Panda in chess match"
I almost used all the credits OpenAI gave me for DALL-E. This set consists of about 50-60% of all the images I generated.
The argument that users can now generate professional grade art by bypassing artists entirely feels so strange. I have access to Dall-E. To generate images without artifacts, you have to do one of these: a) Do a lot of cherry-picking which can be expensive. b) Prompt should be about an abstract concept which can "tolerate" any number of artifacts. c) Prompt should be about a common/generic concept that you have already seen a lot of times on the internet.
I think the biggest use case of Dall-E will be in removing creative block for artists.
It's not super hard to imagine a noticeably improved version of Dall-E being a serious threat to professional artists, though. It's a question of how hard it will be to make some linear improvements to Dall-E.
As a side note, I created an image in MidJourney from a prompt, which got a fairly pretty image that had some serious facial asymmetry problems, then uploaded the image to Dall-E and erased half the face, letting Dall-E fill it back in with a much more symmetrical look, and that kinda felt like the future. Using various AI models as tools for the things they do best.
Suddenly, people who don't have the skills to do that can start doing it and once you pick an output I totally see how you can improve on it manually.
If you can come up with the key frames with descriptions of the same style, a neat little program can interpolate them and produce a generative movie!
(obviously ignoring the potential to conjure things you cannot photograph...)
I'm not going to be getting rid of my Sony A7riv anytime soon, but this certainly would discourage me from trying to increase my library at Getty