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Delighted to announce the public open source release of #StableDiffusion!
Please see our release post and retweet! stability.ai/blog/stable-di…
Proud of everyone involved in releasing this tech that is the first of a series of models to activate the creative potential of humanity
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Google and Microsoft are going all in with generative AI as core to their future.
There is no “we are still early” here, trillion dollar companies are shifting their whole strategy and focus.
I can’t ever recall a technology and strategy shift as fast and meaningful as this.
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Open offer to anyone @OpenAI who actually wants to work on Open AI:
We will match your salary, benefits etc but you can work on any open source AI projects you like, ours or others.
Collaborate, be open and prioritise good outcomes over self interest:
openai.com/blog/introduci… twitter.com/jjvincent/stat…
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The other aspect of this is we can also now adjust facial expressions using AI in media we create and pretty much live as well.
Think about that.. twitter.com/rowancheung/st…
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Stories about how chatGPT will kill Google are a bit silly.
Google have the best full stack LLM team and infra with custom chips (PaLM, LaMBDA, Chinchilla, MUM, TPUs etc)
Nobody can bet them on innovation, cost or go to market.
Institutional inertia is only limiting factor.
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Some raw output from #StableDiffusion2
Like actually try it folks, it's only going to get better from here, each of these was generated in a couple of seconds.
We will release some optimised settings soon. 🚀✨
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On AI ethics & governance
Most powerful AI created by an org that has rejected its founding principles of transparency, openness, and collaboration
They say it could:
i) be an existential threat to humanity
ii) destroy our current society
Controlled by one unelected person 👍🏾 twitter.com/futurism/statu…
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So, open source #ChatGPT? 🤔
I have some thoughts 💭
But first what does everyone else think 🧐 👇
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Going to be big advances (again) in AI in the coming weeks from text to image etc.
Folk dismissing this as a toy/wondering what use should dig in and realise this augments communication, understanding & a whole lot more that is core to value creation.
Exponentials are crazy.
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GPT4 was a feat of engineering by a great team
Here is the (all highly skilled) team breakdown:
1. Pretraining: 83
2. Long context: 12
3. Vision: 57
4. RL & alignment: 128
5. Evaluation & analysis: 147
6. Deployment: 86
343 unique folk in total (some did more than one area)
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Distilled #StableDiffusion2
> 20x speed up, convergence in 1-4 steps
We already reduced time to gen 50 steps from 5.6s to 0.9s working with @nvidia
Paper drops shortly, will link, model soon
Will be presented @neurips by @chenlin_meng & @robrombach
Interesting eh 🙃 twitter.com/EMostaque/stat…
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Twitter R&D costs being 50% more than @DeepMind is really quite the puzzle. twitter.com/ppgosavi/statu…
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Stable diffusion XL #SDXL is in testing with our partners & dreamstudio.ai, getting data to refine it before open source release.
It is a 2.3 billion parameter variant (original 900m) with a range of improvements that will feed into Stable Diffusion 3
🚀 ✨
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With distilled stable diffusion, chatGPT (which is awesome, great job by @OpenAI team 👏) and other stuff hitting soon we are almost at real time human-level generation of media and content.
How will this impact folk reading this tweet?
I’m surprised how few grok what’s coming
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Happy to announce the release of new state of the art open CLIP models to drive image classification and generation forward
@OpenAI’s release of the smaller CLIP models catalysed AI image gen as @advadnoun, @RiversHaveWings combined it with gen models 1/
laion.ai/blog/large-ope…
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Not your weights not your brain 🧠 twitter.com/DrJimFan/statu…
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@KennethCassel We actually used 256 A100s for this per the model card, 150k hours in total so at market price $600k
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Folk saying open source AI is unsafe are idiots.
Better/essential for:
1. Interpretability 👀
2. Auditability 📝
3. Private data 🕵️
4. Regulated data ⚖️
5. Academia, reproducibility 📚
6. Optimisation ⏩
7. Security, less bugs 🔐
8. Alignment 😊
9. Liberty, no panopticon🗽
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The intelligent internet.
Personalised generative search models for everyone that compress knowledge.
Image, audio, text & more.
Distributed & dynamic - a protocol for the next generation.
This is how we build the foundation to activate human potential @StabilityAI
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The 32k token window version of GPT-4 will be a bit of a shock to many in programming.
It's like 20k words of instruction..
You can chain lots of them together too to check their outputs at.. not much cost.
Big danger to SaaS and more.
Will only improve from here. twitter.com/mckaywrigley/s…
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Some user notes on V2! 🧵
V2 prompts different and will take a while for folk to get used to.
V2 is trained on two models, a generator model and a image-to-text model (CLIP).
V1 used the CLIP-L14 model open sourced by @OpenAI which was great, but nobody knew what was in it 1/ twitter.com/StabilityAI/st…
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Software was eating the World.
Generative AI will eat Software.
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趣味でCEOをやっている者だ twitter.com/hst_tvasahi/st…