Average Model Cost: $0.0026
Number of Runs: 14,558
Models by this creator
The sdxl-gta-v model is a machine learning model that has been trained on artwork from the video game Grand Theft Auto V (GTA V). It is based on the SDXL (Self Distillation and Cross Learning) architecture and has been fine-tuned specifically for GTA V art. The model is designed to generate high-quality images based on input images from the game.
The stable-diffusion-depth2img model is a machine learning model that can create variations of an image while preserving shape and depth. It uses a stable diffusion process to gradually transform an input image into different variants, allowing users to explore different possibilities without sacrificing the original structure and depth of the image. This model is useful for tasks such as image editing and generation, as it enables the creation of visually appealing and coherent variations of an image.