Nvidia's Pixel Diffusion: Fast 4K Image Upscaling

Summary

Nvidia has released Pixel Diffusion, a new open-source model capable of generating high-resolution images with remarkable speed and efficiency. This technology allows users to upscale images to four K resolution in under five seconds, a significant improvement over existing methods. Pixel Diffusion operates by performing denoising directly in pixel space, bypassing traditional latent space decoding. When compared to leading upscalers like Seed VR two, Pixel Diffusion demonstrates superior consistency, detail, and sharpness, producing more faithful textures and fewer artifacts. Its lightweight nature also contributes to its speed, outperforming Seed VR two by up to five point nine times in upscaling latency. The model can be installed and run locally for free using Comfy UI, a popular platform for open-source AI generators. Users can choose from various workflows, including upscaling existing images to four K, or generating images with other advanced models like Z image or Flux two before upscaling. The installation process involves downloading specific models and workflows, and updating Comfy UI to its latest version is crucial for compatibility. While a text-to-image workflow is also available, its one K resolution output is considered less impressive than other state-of-the-art generators.