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> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / about 2 months ago
I run the Jenkins controller in Kubernetes. Helm chart for the deploy, persistent volume for the home dir, a sidecar that injects JCasC config from a ConfigMap. Upgrading Jenkins is just bumping a chart version. Rolling back is rolling back a chart version. Plugin lists are values in a Helm values.yaml file, version-pinned, and reviewed in a pull request like any other change. - Source: dev.to / 3 months ago
Does this scenario sound familiar? It's what happened with containerization before Kubernetes. Kubernetes came along and said: Here's the standard. MCP is doing the same thing for AI tooling. - Source: dev.to / 3 months ago
Building your own runtime layer is the right call in a narrow set of scenarios. The open-source ecosystem has matured enough that deep platform engineering teams can stand up their own orchestration layer on top of the official Model Context Protocol Python or TypeScript SDKs. The SDKs implement the MCP specification over JSON-RPC 2.0 and support both stdio for local process communication and Streamable HTTP for... - Source: dev.to / 3 months ago
Amazon Elastic Kubernetes Service (EKS) is a fully managed service from Amazon Web Services (AWS) that makes it easy to run Kubernetes on AWS without needing to install, operate, or maintain your own Kubernetes control plane. It automates cluster management, security, and scaling, supporting applications on both Amazon EC2 and AWS Fargate. - Source: dev.to / 3 months ago
The process of structuring text that can be interpreted and understood by a generative AI model is called Prompt Engineering. This can apply to text-only models such as Llama2 and image generation models such as Stable Diffusion. Often, the key to generating an appropriate piece of text or an accurate image comes down to how the prompt is engineered. - Source: dev.to / over 2 years ago
The images created by AI Image Generators like Midjourney or Stable Diffusion are quite impressive. In the last few days, I have been testing with Stable Diffusion's AI Image Generator (text-to-image) to create a futurebucket logo. For me as a beginner, I am quite satisfied with the results. Please let me know which one you prefer. Source: almost 3 years ago
Hey guys, I used to use this stable diffusion UI a lot (https://stablediffusionweb.com/). It used to be much simpler though, a single line for a prompt and would generate 4 images in usually 10 second. Source: almost 3 years ago
I got acquainted with stablediffusionweb.com and the Playground option it had back in May 2023 and made some good use of it from there to mid-July or so. Got busy, hadn't used it until late August, now I come back and see the Playground is a different thing entirely now that it's "Stable Diffusion XL 1.5" or something. Not only does it now only output 1 image as opposed to 4 images, it takes 8 times longer and the... Source: almost 3 years ago
The web site I did try, including https://stablediffusionweb.com/ or Artroom do not have all the option and flexibility I see in automatic 1111, explacially for fine tuning and manually guide further elaboration. Source: about 3 years ago
Rancher - Open Source Platform for Running a Private Container Service
Midjourney - Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.
Helm.sh - The Kubernetes Package Manager
DALL-E - Creating images from text, from Open AI
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Craiyon - AI model drawing images from any prompt.