dels", weight_name="ip-adapter_sdxl.bin")

generator = torch.Generator(device="cpu").manual_seed(33)
image = pipeline(
    prompt="best quality, high quality", 
    ip_adapter_image=image,
    negative_prompt="monochrome, lowres, bad anatomy, worst quality, low quality", 
    num_inference_steps=25,
    generator=generator,
).images[0]
image.save("sdxl_t2i.png")  input image  adapted image You can use the IP-Adapter face model to apply specific