Showing 3 open source projects for "stable-diffusion"

View related business solutions
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • Error to trace to log to deploy. One click. No SSH. Icon
    Error to trace to log to deploy. One click. No SSH.

    Catch the cause before the pager goes off.

    AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
    Free 30 days.
  • 1
    KubeSphere

    KubeSphere

    The container platform tailored for Kubernetes multi-cloud, datacenter

    ...It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich platform, which includes most common functionalities needed for enterprise Kubernetes strategy, see Feature List for details. KubeSphere Lite provides you with free, stable, and out-of-the-box managed cluster service. After registration and login, you can easily create a K8s cluster with KubeSphere installed in only 5 seconds and experience feature-rich KubeSphere.
    Downloads: 11 This Week
    Last Update:
    See Project
  • 2
    LOG HOUSE

    LOG HOUSE

    Ready to use log management solution for Kubernetes storing data

    ...Data structure might change during alpha releases, so please be careful when updating (all relevant information is published in corresponding release notes). The data structure will become stable in the beta version.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    lmctfy

    lmctfy

    lmctfy is the open source version of Google’s container stack

    ...Although it has since been archived in favor of the broader ecosystem, the code remains a reference for how to map kernel primitives to service-oriented container management. Its design encouraged explicit ownership of resources and stable container identities, which simplified monitoring and policy enforcement. Engineers studying container history use it to understand early patterns that informed today’s runtimes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next