o_image_emb,
...     height=768,
...     width=768,
...     num_inference_steps=100,
...     strength=0.2,
... ).images

>>> image[0].save("red_frog.png")  KandinskyImg2ImgCombinedPipeline  class diffusers.KandinskyImg2ImgCombinedPipeline  < source > ( text_encoder: MultilingualCLIP tokenizer: XLMRobertaTokenizer unet: UNet2DConditionModel scheduler: Union movq: VQModel prior_prior: PriorTransformer prior_image_encoder: CLIPVisionModelWithProje