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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.
— Dare Obasanjo (@Carnage4Life) August 13, 2022
Question is if or when we’ll see laws herehttps://t.co/GpxtNnPMZP
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". 🤷♂️
— Bojan Tunguz (@tunguz) August 13, 2022
A startup wants to democratize the tech behind DALL-E 2, consequences be damned https://t.co/MhowRbO37l via @techcrunch
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.
— Dare Obasanjo (@Carnage4Life) August 13, 2022
Question is if or when we’ll see laws herehttps://t.co/GpxtNnPMZP
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.
— Emad (@EMostaque) August 10, 2022
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 🫣
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
— apolinário from multimodal ai art (@multimodalart) August 10, 2022
For the transformation this models will bring to human creativity it is fundamental that this tech is open #StableDiffusion https://t.co/QcFsTuEKyH
⚠️ #stablediffusion is OPEN SOURCE ⚠️https://t.co/6jl7Y5B3x1
— dadabots (@dadabots) August 11, 2022
Code, Model, everything!
Open source ftw, obliterating proprietary code like a brightly shining sun vaporizing everything in its path. pic.twitter.com/GLXcAHwt42
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