e(prompt, image=image, strength=0.75, num_inference_steps=25, generator=generator).images[0]  encode_prompt  < source > ( prompt do_classifier_free_guidance = True num_images_per_prompt = 1 device = None negative_prompt = None prompt_embeds: Optional = None negative_prompt_embeds: Optional = None _cut_context = False attention_mask: Optional = None negative_attention_mask: Optional = None  )   Parameters   prompt (str or List[str], optional) —
