Karlo

YandexART is a diffusion neural network by Yandex designed for image and video creation. This new neural network ranks as a global leader among generative models in terms of image generation quality. Integrated into Yandex services like Yandex Business and Shedevrum, it generates images and videos using the cascade diffusion method—initially creating images based on requests and progressively enhancing their resolution while infusing them with intricate details. The updated version of this neural network is already operational within the Shedevrum application, enhancing user experiences. YandexART fueling Shedevrum boasts an immense scale, with 5 billion parameters, and underwent training on an extensive dataset comprising 330 million pairs of images and corresponding text descriptions. Through the fusion of a refined dataset, a proprietary text encoder, and reinforcement learning, Shedevrum consistently delivers high-calibre content.

Pixray is an image generation system. It combines previous ideas including Perception Engines that uses image augmentation and iteratively optimizes images against an ensemble of classifiers. CLIP-guided GAN imagery from Ryan Murdoch and Katherine Crowson as well as modifications such as CLIPDraw from Kevin Frans. Useful ways of navigating latent space from Sampling Generative Networks. Use pixray to generate an image from a text prompt. Predictions run on Nvidia T4 GPU hardware. Predictions typically complete within 7 minutes. The predicted time for this model varies significantly based on the inputs. pixray is also a python library and command-line utility. You can use Replicate for free, but after a bit, you'll be asked to enter your credit card. You pay by the second for the predictions you run. The price per second varies based on the hardware the model is run on. Different models run on different hardware.