hy3dgen/texgen/utils/imagesuper_utils.py

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import torch
from diffusers import StableDiffusionUpscalePipeline

class Image_Super_Net():
    def __init__(self, config):
        self.up_pipeline_x4 = StableDiffusionUpscalePipeline.from_pretrained(
                        'stabilityai/stable-diffusion-x4-upscaler',
                        torch_dtype=torch.float16,
                    ).to(config.device)
        self.up_pipeline_x4.set_progress_bar_config(disable=True)

    def __call__(self, image, prompt=''):
        with torch.no_grad():
            upscaled_image = self.up_pipeline_x4(
                prompt=[prompt],
                image=image,
                num_inference_steps=5,
            ).images[0]

        return upscaled_image