Leaderboard

I've been playing around with an A.I. Imaging software called Stable Diffusion. It's written in Python but that's not the part that interests me... There are a number of web browser user Interfaces for the Stable diffusion back-end. Forge, Automatic 1111, Comfy UI - to name a couple - but the last one, comfy UI, is graphical UI. The ComfyUI block diagram can be saved as JSON or within a PNG image. That's great. The problem is you cannot nest block diagrams. Therefore you end up with a complete spaghetti diagram and a level of complexity that is difficult to resolve. You end up with the ComfyUI equivalent of: The way we resolve the spaghetti problem is by encapsulating nodes in sub VI's to hide the complexity (composition). So. I was thinking that LabVIEW would be a better interface where VI's would be the equivalent of the ComfyUI nodes and the LabVIEW nodes would generate the JSON. Where LabVIEW would be an improvement, however, would be that we can create sub VI's and nest nodes whereas ComfyUI cannot! Further more, perhaps we may have a proper use case for express VI's instead of just being "noob nodes". Might be an interesting avenue to explore to bring LabVIEW to a wider audience and a new technology.

The comfyUI nodes are described by JSON in files called "Workflows" so we could import them and use scripting to create nodes. That's if we want parity. But we could support nesting which ComfUI wouldn't understand. The WebUI's are just interfaces to create REST requests which we can easily do already. I'm just trying to find a proper API specification or something that enables me to know the JSON format for the various requests. Like most of these things, there are just thousands of Github "apps" all doing something different because they use different plugins. Modern programmers can do wonderful things but it's all built on tribal knowledge which you are expected to reverse engineer. The only proper API documentation I have found so far is for the Web Services which isn't what I want - I'm running it locally.