Docker Diffusers Api

Docker Diffusers Api (kiri.art) provides a containerized solution for running Stable Diffusion and other diffusion models locally via a REST API. It wraps Hugging Face Diffusers, enabling users to deploy multiple models, pipelines, and schedulers with minimal setup. The project is ideal for developers, AI enthusiasts, and organizations that need private, scalable image generation without relying on external cloud services. The tool comes with pre-built Docker images, a straightforward API for text-to-image, image-to-image, inpainting, and more. It supports popular models like Stable Diffusion 1.5, SDXL, and others available on Hugging Face. Users can also customize pipelines and schedulers to balance speed and quality. What sets it apart is the focus on self-hosting and API-first design. Unlike consumer apps, it offers full control over hardware, model selection, and integration into larger software stacks. It's open-source and free, with paid options for managed hosting or priority support. The target audience includes developers building AI apps, researchers experimenting with diffusion models, and teams needing a private generation pipeline. It excludes non-technical users looking for a turnkey interface—this is a backend tool requiring Docker and API familiarity.