image   🤗 Diffusers also provides an end-to-end API with the KandinskyCombinedPipeline and KandinskyV22CombinedPipeline, meaning you don’t have to separately load the prior and text-to-image pipeline. The combined pipeline automatically loads both the prior model and the decoder. You can still set different values for the prior pipeline with the prior_guidance_scale and prior_num_inference_steps parameters if you want. Use the AutoPipelineForText2Image to automatically call the combined pipelines under the hood: Kandinsky 2.1 Kandinsky 2.2    Copied from diffusers import AutoPipelineForText2Image