In today's increasingly digital age, enhancing video quality has become more important than ever. With the help of VSGAN, a repository dedicated to super resolution models and video frame interpolation, we aim to achieve the fastest inference possible while maintaining high-quality results. Before diving into this guide, it's essential to
Introduction: Artificial intelligence is transforming the world of digital art, and we at RunPod.io are excited to introduce the latest AI masterpiece, Kandinsky 2.1! This powerful model inherits the best practices from Dall-E 2 and Latent Diffusion while introducing innovative ideas to push the boundaries of AI-generated art.
Describing poses in a text prompt, other than the most basic notation, can often feel like an exercise in frustration. "Sitting in an office chair" isn't too hard to work with, but when it comes to accurately describing things like raising arms in certain directions and proportions, leg positioning, and
TheLastBen recently updated our fast stable diffusion template with the offset noise functionality in dreambooth! To turn it on, start up the template and connect to the jupyter link. Then just flip the Offset_Noise variable to "True" and increase your total steps by 10-20% - that's it! Apparently this
Have you ever wanted to create your own serverless AUTOMATIC1111 endpoint with a custom model that can scale up and down? Now you can do so without much hassle by following this guide! Pre-requisites A computer (local or cloud) with the following: * docker installed * git installed * a relatively fast upload
Image generation has evolved tremendously over the last couple of years. Generative Adversarial Networks have emerged as state-of-the-art in the field of image generation, the latest iteration of which is StyleGAN3. What is StyleGAN3? GAN is an acronym for "generative adversarial network" – a machine learning framework where two neural networks