e=torch.float16
... ).to("cuda")


>>> cond_subject = "dog"
>>> tgt_subject = "dog"
>>> text_prompt_input = "swimming underwater"

>>> cond_image = load_image(
...     "https://huggingface.co/datasets/ayushtues/blipdiffusion_images/resolve/main/dog.jpg"
... )
>>> guidance_scale = 7.5
>>> num_inference_steps = 25
>>> negative_prompt = "over-exposure, under-exposure, saturated, duplicate, out of frame, lowres, cropped, worst quality, low quality,