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Stable Attribution

stableattribution.com

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Re: Stable Attribution

#211
post #35

I gave it a photo I had Stable Diffusion 1.4 generate from the prompt "avatar for saurik". If you dig through the CLIP database, you will find that the model was trained on a ridiculously large number of copies of my Twitter profile photo due to it being included when people screenshot popular tweets I've posted (which, notably, also means that it is rather low resolution). https://www.stableattribution.com/?image=e8…

relevant: https://rom1504.github.io/clip-retrieval/ https://github.com/rom1504/clip-retrieval Ironically, the stableattribution.com authors didn't give any attribution or credit to clip-retrieval and its developer

They don’t need to, as clip-retrieval is licensed under the MIT license.

Re: Stable Attribution

#212
From the beginning of using Stable Diffusion in local and cloud instances, I’ve been promoting SD to generate objects I know nobody has ever drawn before. “Airplane by Tesla”, “Taylor Swift flying in the clouds”, “Little girl riding on an ira descent unicorn and chasing butterflies in the clouds”, “Turkey as a Judge” etc. I highly encourage everyone to try doing that. The results are absolutely atrocious in the beginning and it takes many many runs short and long, with seeds guiding the model to get closer and closer to what I ask. It took a long time to get one instance of SD to make the invention look plausible, and then trying on a new model copy/instance takes the results back to crap. That makes me suspect your guidance trains the instance you are using and your prompts and feedback create the work substantially. The model truly generates novel content based on input of the generator and it takes effort to replicate a work it was trained on, likely by using multiple keywords the original was captioned with in many places. So you can get replicas if you try, but you can also draw replicas with brushes if you have enough skill as well. To reiterate: try to generate content you know nobody has ever drawn before (and google to verify it is truly original) and see how much effort it takes to get an actually good result. Now sub-trained models can be steered in different directions, so it’s possible that Midjourney or a heavily sub-trained cloud instance overfit to the originals, so this is not universal, but every copy of the model is likely different and molded by the prompts and feedback it’s been given.

Re: Stable Attribution

#213

Earlier quoted context omitted.

I don't get the assumption that there should be. The machine was trained on publicly available hard that was already free. Why do people think they need to be compensated for something they put up online for free? They don't have the right to not allow people to learn from it, that's just never been a part of copyright.

It is expected of any professional artist to have an online portfolio if they are serious about generating work. Scraping my portfolio that I put out because I want to generate revenue is a shitty thing to do. Also 'trained' is a complete misnomer. AI is fed images made by humans, labelled and tagged by humans, categorized by styles defined by humans, then plotted, copied, traced by a program written by humans. Along…

> Also 'trained' is a complete misnomer.

This here shows that you are speaking without understanding what you are speaking about.

AI is absolutely trained. It's a process that is quite literally inspired by the way we understood neurons to work in the 1970s.

AI start with a big batch of random numbers. There's a big fancy scientific method used to adjust those numbers in order to cause the system to learn to do some task.

The process creates genuine and novel understanding of the problem space at hand. AI trained to do something simple, like add two numbers, will have a real solution to add two numbers in them once you have finished training them.

With bigger problems, similar understanding certainly exists and in some cases has been proven to exist. However, once you get to the difficult problems with billions of parameters, it's very difficult for us to check that because if we could we would have just written it without needing to use an AI in the first place.

There are lots of researchers who do lots of study and effort to ensure that AI are actually producing real outputs and have genuine understanding of the problems face they are working in. Do not insist that AI has no understanding if you have not taken the time to learn about those techniques.

Stable diffusion has genuine understanding of different images and how to produce them within it. It is not a simple system that reproduces would already exists. It is not a collage tool. It is not incapable of producing novel outputs.

Diffusion models are perfectly capable of producing any image that can possibly exist. It is only a matter of time before someone invents a new style that hasn't been seen before, and someone else is able to find a combination of descriptive words that causes stable diffusion to produce that output.

Or that someone produces a novel combination of words, chucks it into stable diffusion (or some other AI model), and produces a new style of art.

> Art is made with physical motor skills, time and effort. AI is a human made program that uses human made imagery, classified by more humans to generate a shopping list written by another human who want art that requires no effort of aquiring the physical skill needed to make the art. With no physical product, there is no AI art

This is simply not true. Art is incredibly cultural, vaguely defined, and often involves little to no work at all. If someone prompts an AI, gets a result, and sticks it to a wall, calling it art, it is probably able to be considered art.

> If you want to physically copy my art, go for it, I will applaud your skill, but taking my art and shoving it in a program

In short, it appears that you are threatened by the existence of AI and the copyright argument is not actually about copyright, it's about ensuring that the competition does not exist, and that people did not have access to these tools that might make artists less valuable.

Re: Stable Attribution

#214

basically an advert for chroma, the vector db company, since this is essentially running a semantic similarity search. wouldn't be surprised if they're running something like clip-interrogator or just clip itself and then an approximate vector similarity search over the database of image, vector pairs in their dataset.

The company is not a vector db company (it's unclear what Chroma is going from their Twitter other than "data engines for every machine learning system in the world"), otherwise attacking one of the best developments for vectors would be a weird business move.

https://twitter.com/atroyn/status/1594809321606770690

Re: Stable Attribution

#216

This is a great website, but not in the way the authors intended. Based on some of the examples they explicitly provided, it is clear to me Stable Diffusion creates novel art. Here's a random example https://www.stableattribution.com/?image=a2666aee-0a1a-411b-... I will admit this is a nice tool for verifying the creations of SD aren't pure copies, so I think it will be useful for a time. But as AI-generated images s…

Here's another example: https://www.stableattribution.com/?image=1ecefeff-cc12-46e5-...

Re: Stable Attribution

#217
post #46

This is a great website, but not in the way the authors intended. Based on some of the examples they explicitly provided, it is clear to me Stable Diffusion creates novel art. Here's a random example https://www.stableattribution.com/?image=a2666aee-0a1a-411b-... I will admit this is a nice tool for verifying the creations of SD aren't pure copies, so I think it will be useful for a time. But as AI-generated images s…

The discussion over novelty is useless, all these legal structures like copyrights patents royalties and licenses are about creating business structures to allow artist or inventors be compensated. They were already imperfect in it and now suddenly a new technology drags their work into the wilderness with no stuctures for compensation. The images created by the AI are indeed novel but they feed on the work of people…

> How is the artist supposed to be compensated for spending years of developing that style/method?

By claiming that style and all future works that look like it, barring humans and AI from ever drawing anything else that has a similar style. Copyright used to cover just the expression, now we want it to cover all possible expressions of a style.

Re: Stable Attribution

#218
post #211

Earlier quoted context omitted.

relevant: https://rom1504.github.io/clip-retrieval/ https://github.com/rom1504/clip-retrieval Ironically, the stableattribution.com authors didn't give any attribution or credit to clip-retrieval and its developer

They don’t need to, as clip-retrieval is licensed under the MIT license.

[deleted]

Re: Stable Attribution

#219
post #35

I gave it a photo I had Stable Diffusion 1.4 generate from the prompt "avatar for saurik". If you dig through the CLIP database, you will find that the model was trained on a ridiculously large number of copies of my Twitter profile photo due to it being included when people screenshot popular tweets I've posted (which, notably, also means that it is rather low resolution). https://www.stableattribution.com/?image=e8…

Are you the guy who made Cydia for jailbroken iPhones all those years ago? Had no idea you were on HN!

Yes, the one and only Saurik!

Re: Stable Attribution

#220
post #111

Earlier quoted context omitted.

We automate people's jobs, not taking their intellectual properties and build machines that can churn endless versions of it. The people put out of work by computers no longer work and they were paid in full for the work they did, unlike the people who developed intellectual property on their own dime hoping to be compensated later only to find out that their work was copied and distributed by the computer people.

Automated jobs do the physical work. Here the computer is redistributing the physical work made by the artists, however much diluted. AI cannot make art on its own, it needs to be fed physical art and then be told what it is and what to do with it. It is not automation, it is simply a data manipulating tool.

to me it's less about the process and jobs lost and more about some feeling loss related to the excitement about removing expression and experience from a domain for honestly very little real benefit

continuing to transform things which in part centered around exploration, discovery and experimentation into something cold and kind of dumb

like we will make some interesting things but it's the general trend of modern society that upsets people everything just getting easier/worse faster

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