Very proud to have been part of the team to release Stable Diffusion. This is an epic model and it will be open-source. Looking forward to seeing what the world does with it. #stabilityAI #stablediffusion https://t.co/ighz4HxMvh

— nin (@nin_artificial) August 11, 2022

DALL•E choosing to mangle human faces was never a solution but instead pointed out the problem. We are now in the land of on-demand deep fake generation. The genie is out of the bottle and isn’t going back in.

Question is if or when we’ll see laws herehttps://t.co/GpxtNnPMZP

— Dare Obasanjo (@Carnage4Life) August 13, 2022

This #startup is setting a DALL-E 2-like #AI free, consequences be damnedhttps://t.co/C7vd02xZ4e#AIEthics #MachineLearning #Python #DeepLearning #LUNC#100DaysOfCode #Fintech #LunaClassic #Insurtech #Finserv

— Dr. Robin Kiera (@stratorob) August 14, 2022

Meh, I remember when releasing GPT-2 was deemed "too dangerous". 🤷‍♂️

A startup wants to democratize the tech behind DALL-E 2, consequences be damned https://t.co/MhowRbO37l via @techcrunch

— Bojan Tunguz (@tunguz) August 13, 2022

DALL•E choosing to mangle human faces was never a solution but instead pointed out the problem. We are now in the land of on-demand deep fake generation. The genie is out of the bottle and isn’t going back in.

Question is if or when we’ll see laws herehttps://t.co/GpxtNnPMZP

— Dare Obasanjo (@Carnage4Life) August 13, 2022

This startup is setting a DALL-E 2-like AI free, consequences be damned https://t.co/vKzxjFrodv @TechCrunch #AI #MachineLearning #Robots #BigData #Analytics #DeepLearning #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DALLE2 #DigitalTransformation #DataScience pic.twitter.com/Rcq8QLvCPd

— Marcus Borba (@marcusborba) August 13, 2022

Right one more time.

Happy to announce the release of #StableDiffusion for researchers. Public release soon.

GitHub here: https://t.co/OX7KoUT711

Blogpost (correct link) here: https://t.co/fJfhZbCrw7

More on @StabilityAI later when I figure out how to use the internet 🫣

— Emad (@EMostaque) August 10, 2022

Stable DiffusionはVRAM10GB未満の消費者向けGPUで512x512の画像を”数秒で”生成できるらしい。これがマジならすごいよ　　https://t.co/MRHz1sCDzz

— 海行プログラム (@kaigyoPG) August 11, 2022

Stable Diffusion launch announcement — https://t.co/oQgmRdo0UU "Stable diffusion runs on under 10 GB of VRAM on consumer GPUs, generating images at 512x512 pixels in a few seconds. " https://t.co/JACnD3JyhP

— Doron Adler (@Norod78) August 10, 2022

So exciting to have the best text-to-image models being released fully open - and necessary

For the transformation this models will bring to human creativity it is fundamental that this tech is open #StableDiffusion https://t.co/QcFsTuEKyH

— apolinário from multimodal ai art (@multimodalart) August 10, 2022

⚠️ #stablediffusion is OPEN SOURCE ⚠️https://t.co/6jl7Y5B3x1
Code, Model, everything!

Open source ftw, obliterating proprietary code like a brightly shining sun vaporizing everything in its path. pic.twitter.com/GLXcAHwt42

— dadabots (@dadabots) August 11, 2022