   image_embeds=image_emb,
...     negative_image_embeds=zero_image_emb,
...     height=768,
...     width=768,
...     num_inference_steps=150,
... ).images[0]

>>> image.save("starry_cat.png")  KandinskyPipeline  class diffusers.KandinskyPipeline  < source > ( text_encoder: MultilingualCLIP tokenizer: XLMRobertaTokenizer unet: UNet2DConditionModel scheduler: Union movq: VQModel  )   Parameters   text_encoder (MultilingualCLIP) —
Frozen text-e