# Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT # except for the third-party components listed below. # Hunyuan 3D does not impose any additional limitations beyond what is outlined # in the repsective licenses of these third-party components. # Users must comply with all terms and conditions of original licenses of these third-party # components and must ensure that the usage of the third party components adheres to # all relevant laws and regulations. # For avoidance of doubts, Hunyuan 3D means the large language models and # their software and algorithms, including trained model weights, parameters (including # optimizer states), machine-learning model code, inference-enabling code, training-enabling code, # fine-tuning enabling code and other elements of the foregoing made publicly available # by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT. 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