See a live demo of many of the features demoed in this document.
See a live demo of many of the features demoed in this document.
Shade has an array of features oriented towards studio users, acting as a full drop-in asset management and search solution. This document provides more details for the features shown in the shade studio demo video.
Shade can be run self hosted and entirely offline. Offline hosting includes access to all search features including the AI/ML models. Some features are not available offline such as:
We provide three ways to install the Shade engine on your local infrastructure. The first is a native single-instance installer, the second is a single Docker container, and the third is a full load balanced Kubernetes cluster. These differ primarily in scalability, portability, and setup time.
Running natively on some host machine
Shade can be deployed as a single docker container. This allows deployments to be highly portable, however this can come with the downside that operating searches and indexing at scale can become slow. If this option becomes slow, a Kubernetes setup option is also provided.
Running a load-balanced Kubernetes cluster