. As text and image encoder it uses CLIP model and diffusion image prior (mapping) between latent spaces of CLIP modalities. This approach increases the visual performance of the model and unveils new horizons in blending images and text-guided image manipulation. The original codebase can be found at ai-forever/Kandinsky-2. Check out the Kandinsky Community organization on the Hub for the official model checkpoints for tasks like text-to-image