es
image = refiner(
    prompt=prompt,
    image=image,
    mask_image=mask_image,
    num_inference_steps=num_inference_steps,
    denoising_start=high_noise_frac,
).images[0]
make_image_grid([init_image, mask_image, image.resize((512, 512))], rows=1, cols=3) This ensemble of expert denoisers method works well for all available schedulers!  Base to refiner model SDXL gets a boost in image quality by using the refiner model to add additional hi