Stability.ai sent a take down request to Runway ML's SD v1.5 citing IP Leak
huggingface.co
huggingface.co
> Cris here - the CEO and Co-founder of Runway. Since our founding in 2018, we’ve been on a mission to empower anyone to create the impossible. So, we’re excited to share this newest version of Stable Diffusion so that we can continue delivering on our mission.
> This version of Stable Diffusion is a continuation of the original High-Resolution Image Synthesis with Latent Diffusion Models work that we created and published (now more commonly referred to as Stable Diffusion). Stable Diffusion is an AI model developed by Patrick Esser from Runway and Robin Rombach from LMU Munich. The research and code behind Stable Diffusion was open-sourced last year. The model was released under the CreativeML Open RAIL M License.
> We confirm there has been no breach of IP as flagged and we thank Stability AI for the compute donation to retrain the original model.
https://huggingface.co/runwayml/stable-diffusion-v1-5/discus...
Edit: According to Discord messages from Emad Mostaque (founder of Stability AI) they have taken back the takedown request and seems this is the official release of the Stable Diffusion model version 1.5.
1.5 was apparently held back by Stability for weeks. Runway finally decided to just release it.
Stability requested a take down, and here you see the Runway CEO telling Stability in no uncertain terms "this ours to release, we created it, it's under an OS license, you don't hold any IP rights here; all you did was provide compute"
If anything this is a pretty stern rebuke of Stability and a sign of considerable disagreement between the two parties.
RunwayML are an official partner of Stability AI. Stability has been delaying the release of their 1.5 model for several weeks now, citing unspecified "legal concerns".
RunwayML has seemingly gone ahead and released it themselves anyway, forcing Stability to file a takedown request for leaking their IP.
In the aftermath of the AUTOMATIC1111 debacle last week, this doesn't reflect well on Stability's comms. Things seem a lot less open since investors got on board...
This is the summary that should be read, the top post by ttopE.
> Stable Diffusion is an open source program
It's not a program, it's a model. It is also not open source, its license is "Creative ML OpenRAIL-M" which is "open-source like" or "permissive", but it does limit the usage of the model.
> has seen many variations, or forks, on the original code, all typically hosted on github, a code sharing platform. The most popular and arguably the most complex of these forks is automatic1111s fork
Automatic1111 is not maintaining a fork of the model/software but is providing a UI that uses the model rather. It was started from scratch from a user on 4chan and was taken by automatic1111 and put on GitHub, where they further continued working on the codebase. I think automatic1111 is the only SD UI that also has public codebase but is not licensed under a permissive license (automatic1111 retains the copyright to themselves)
These are things I know for sure are not true/misnomers. Which makes statements that I'm not 100% sure about, like:
> someone on 4chan used an exploit on github to extract the unique model of Stable Diffusion that NovelAI had developed and just released on their service
less likely to also be true. Also, if there was a 0day for GitHub, don't you think someone would have used it for something more interesting than leaking a image diffusion model and some associated code? It probably would also have been all over the news + announcements from GitHub, but I personally haven't come across any of them. But maybe I just missed it.
Overall, I'd take everything you read about all this drama with a pinch of salt, there is a lot of misunderstandings and misinformation about the whole thing, and that many people who "summarize" the whole thing seems to not be actual developers don't help either.
The link at the end of the post by ttopE was mangled. It should have linked to [1] which links directly to the actual apology: [2]
1: https://www.reddit.com/r/StableDiffusion/comments/y34h2a/ema...
2: https://github.com/AUTOMATIC1111/stable-diffusion-webui/disc...
1: https://www.reddit.com/r/StableDiffusion/comments/y34h2a/ema...
It’s hopeless deciding who to believe when everyone involved is choosing to be economical with the truth.
The first few releases of model and code have been done by Compvis, and this one by RunwayML. More than permitted by the license, this seems to have been released by the actual developers.
I've seen speculation that it has been released this way to provide distance between Stability.AI from eventual future litigations, but it feels more like an internal ultimatum deadline.
It could be both. A company it is not necessarily a monolithic entity.
https://huggingface.co/spaces/CompVis/stable-diffusion-licen...
edit: never mind, jumped the gun and thought it was an official release but it turns out I was just confused.
Note that it is not the stabilityai repo.
Lots of people have memorized lyrics to copyrighted songs but no one is suing them for the memorization. They are only suing when the memorizer is trying to make money off of the song without permission of the copyright holder. The burden of proof is on the copyright holder to prove that the builder of the model was intending to distribute IP that they did not own.
People need to realize that IP enforcement is a very leaky sieve at best, and that the very concept of intellectual property is an affront to the nature of information and ideas, particularly in a digital realm where bits are free to be copied at will
The sooner we come to this realization, and those that stand to profit from IP enforcement bullshit take their monetization elsewhere, the better off we will be as a species.
If you're not familiar with the process, you can read about it here: https://medium.com/the-courtroom/the-art-of-clearing-a-sampl...
Nobody has ever given me any crap for the blatant sampling I do from old movies and video games, though I am a nobody and they are always a small (if focal) part of a much larger and original work
But if a song (yours or other people's songs on Beatport/Bandcamp/Spotify) becomes popular enough and it has samples you haven't cleared, expect your door to be knocked on by some of the right holders who are gonna ask you to pay up.
There are plenty of cases of unknown people making songs that become popular overnight and then get stuck in long litigations regarding sample usage. Obviously they're not gonna go after music makers who barely have any listeners.
From a high level both things consist of putting copyrighted bits in a digital blender, producing a mixture unlike the originals but which, if you prod it the right way, can be induced to reproduce some parts of the (copyrighted) input. I'm not sure calling it AI makes it (legally) different. What is the argument here - that previous schemes just didn't blend the bits enough?
If on the other hand you copy the first, middle, and last byte of a Steven King book and share those three bytes with someone you would win a copyright lawsuit, because those three bytes are not unique enough to be copyrighted.
Granted everything I know about copyright law I learned in a few audio tapes in my car, but I think the question I have is not, can you sue AI for absorbing information, but is AI unique enough that you couldn't find byte strings or patterns that match source material too closely.
See the recent twitter thread on CSParse for example: https://twitter.com/docsparse/status/1581461734665367554
https://danieljeffries.substack.com/p/why-the-future-of-open...
This is absurd. We don't hold off on releasing other open source code or datasets that could be used to break the law or hurt people, except where they are subject to export controls (cryptography).
I can sympathize with people worried about the danger of photorealistic AI-generated images of individuals, but (1) stable diffusion is not that good: it is quite common to see extra fingers or limbs that blur together. (2) When image generation does become good enough to be dangerous, society will adapt by holding people less responsible for images they appear in.
This is quite simply no longer the case. Yes, a naive use of the toolset will output bad quality images but experienced users can get images of this quality reliably now: https://imgur.com/a/W7D7Djh (possibly nsfw: realistic vampire woman with clothes drenched in blood).
It would be easy for someone to instead generate illegal content of that quality.
This does not mean that I believe future release should be blocked because of this fast however. Someone can use ready available FaceApp filters to create illegal content and the application is still on the app stores, any skilled person can use Photoshop to stitch together illegal content and Adobe has yet to close down, the list goes on.
Tell me where you're sourcing all those pictures and videos from, along with the license for each.
>- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).
Ironic isn't it? How people who licensed their software forbidding its use for stopping illegal activity are accused of breaking the law.
Laws and courts take their sweet time to venture into novel fields which is good when it comes to technology.
I wouldn't be surprised if it'll end up classified as a derived work in the end with some sort of royalty payment towards registered right holders (managed by some sort of collection society)
It'll probably be different depending on your legislation.
Has someone yet trained a model on music?
https://torrentfreak.com/images/USTR-2022-RIAA.pdf https://torrentfreak.com/riaa-flags-artificial-intelligence-...