RT @TomLikesRobots: These prompts also work really well with brown skin. Beautiful detail. #stablediffusion2 #aiart https://t.co/SErBj095f2

RT @TomLikesRobots: Yes, you need to work for it with #StableDiffusion2 but you can get an incredible level of detail.
This is a raw output…

RT @EMostaque: Some raw output from #StableDiffusion2

Like actually try it folks, it’s only going to get better from here, each of these w…

RT @DevDminGod: Faces are really clean with SD2

768×768 – no upscaling – no face restoration

#StableDiffusion2 #stablediffusion https://t…

DiffusionDB is the first large-scale dataset containing 14 million #StableDiffusion images and their text prompts and hyperparameters.

https://t.co/O2f4TZkVE1

RT @masslevel: Made with #stablediffusion #StableDiffusion2

Thanks to @EMostaque, his team at @StabilityAI and the SD community for inspi…

RT @pharmapsychotic: #stablediffusion2 uses the OpenCLIP ViT-H model trained on the LAION dataset so it knows different things than the Ope…

👀 https://t.co/PiLzsy9Izc

#stablediffusion is just three months old. Three. Yet, the criticism is ferocious.
If the same people would analyze and criticize with the same ardor the v1 of software released 3 months after its GA, no product would survive.

RT @minimaxir: It’s appearing that the key to use Stable Diffusion 2.0 will be that you will actually have to use negative prompts, as they…