Are you still troubled by unclear photos? A brand new image super-resolution tool called InvSR has emerged, allowing images to be instantly transformed into clear and sharp ones with minimal processing steps. The strength of this tool lies in its utilization of the rich prior knowledge embedded in large pre-trained diffusion models, achieving efficient and high-quality image resolution enhancement. The core technology of InvSR is its innovative partial noise prediction strategy. It cleverly constructs the intermediate state of the diffusion model as the starting point for the sampling process and employs a deep noise.

Recently, a new image super-resolution model called AuraSR has garnered widespread attention in the artificial intelligence community. Developed by Fal AI, this model is based on Adobe's latest GigaGAN paper and utilizes Generative Adversarial Network (GAN) technology to significantly enhance image resolution in a very short time.

AuraSR, a colossal upsampling model with 600 million parameters, is derived from the GigaGAN paper and is now fully open-sourced. The strength of this model lies in its ability to enlarge images by four times while supplementing details that may be lost during the magnification process. Moreover, this is not all it can do; it can even perform multiple magnifications on images, enriching the details further.