 Würstchen v2 comes to Diffusers After the initial paper release, we have improved numerous things in the architecture, training and sampling, making Würstchen competitive to current state-of-the-art models in many ways. We are excited to release this new version together with Diffusers. Here is a list of the improvements. Higher resolution (1024x1024 up to 2048x2048) Faster inference Multi Aspect Resolution Sampling Better quality We are releasing 3 checkpoints for the text-conditional image generation model (Stage C). Those are: v2-base v2-aesthetic (default) v2-interpolated (50% interpolation between v2-base and v2-aesthetic) We recommend using v2-interpolated, as it has a nice touch of both photorealism and aesthetics. Use v2-base for finetunings as it does not have a style bias and use v2-aesthetic for very artistic generations.