 load_image("./conditioning_image_1.png")
prompt = "pale golden rod circle with old lace background"

generator = torch.manual_seed(0)
image = pipeline(
    prompt, image=control_image, generator=generator
).images[0]
image.save("./output.png")  Next steps Congratulations on training a T2I-Adapter model! 🎉 To learn more: Read the Efficient Controllable Generation for SDXL with T2I-Adapters blog post to learn more details about the experimental 