A step-by-step guide to high-speed video upscaling using VSGAN and TensorRT on Runpod, including model conversion, engine building, and efficient deployment with SSH and Tmux.

Learn how to launch and use the Kohya_ss template on Runpod, from pod setup to desktop login and installing the Kohya_ss GUI using terminal commands.

Kandinsky 2.1 combines CLIP and diffusion models to generate high-resolution, AI-driven artwork up to 1024×1024 pixels—available now on Runpod via API.

Learn how to deploy Basaran, an open-source text generation API, on Runpod using a prebuilt template. Customize the model via environment variables and interact through the web UI or API.

Learn how to deploy Stable Diffusion quickly on Runpod using the fast template, including GPU selection, configuration options, and inference steps. This guide walks you through launching your pod, accessing the WebUI, and generating your first images.

This tutorial walks you through using the Kohya_ss template on RunPod for desktop CUDA-based tasks, including installation, model compatibility, and performance tips.