Open-source alternatives to Airflow Operator

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

This repository serves as a curated collection of software packages for Kubernetes application deployment and package management. Its primary purpose is to provide a standardized set of predefined application configurations to ensure consistent software installations across different clusters. The project focuses on maintaining version compatibility and providing a reliable source of verified packages. This allows for a standardized cluster setup by simplifying the installation and versioning of software on a container orchestration platform.

This project provides a containerized environment for deploying Apache Airflow, enabling the orchestration of complex data pipelines and automated task scheduling. By packaging the orchestration platform into portable images, it ensures consistent execution across diverse infrastructure setups and simplifies the management of runtime dependencies. The platform facilitates distributed task execution by decoupling the scheduler from the execution layer, allowing for horizontal scaling of processing power across multiple worker nodes. It supports dynamic configuration through environment variabl

This project is a containerized deployment for running Stable Diffusion web interfaces. It provides a portable runtime for generative AI that manages dependencies and hardware acceleration to enable text-to-image generation and image-to-image transformations via a browser-based interface. The system uses hardware-specific image tags to support both GPU-accelerated synthesis and CPU-only execution. It ensures environment isolation across different operating systems while utilizing bind-mount data persistence to keep heavy model weights and generated outputs on the host machine. The deployment