Auto-Photoshop-StableDiffusion-Plugin VS gradio

Btw, there's already an open source way to do this

https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiff...

Also, if your only goal is to generate images, don't bother with Unreal Engine. Blender + Photoshop + a UI for Stable Diffusion are all you need. And talking about Photoshop, I absolutely recommend the Auto Photoshop SD plugin. It is the most complete implementation of SD in Photoshop, but it is in active development and, unfortunately, the documentation is lacking, but as of version 1.2.5 everything works fine, you just need to be persistent enough to make it work via trial and error.

😁 Personally, I hope that Auto-Photoshop-StableDiffusion-Plugin make this available in their plug very soon ... 😋

I didn't try this but there is a plugin for PS: https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

Heres my whole delema lol - Github

No worries let me know if you have any trouble. For the photoshop integration its pretty simple just 1 click installer and then set up the relevant stuff.

Check out https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin if you didn't already.

gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)

There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.

It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.

What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

Repo : https://github.com/gradio-app/gradio

There's TensorFlow.js for running machine learning on JavaScript, but personally, I'd prefer using the Python Gradio package, which is designed for creating UIs for machine learning inference demos.

I found an issue on gradio github but looks like it's closed so I am not sure if it's still a common issue or only I am facing it due to certain settings/absence of a fix. ( https://github.com/gradio-app/gradio/issues/3060 )

I disagree hard with this – for instance I've recently needed to dig into the code for the Gradio library, and when PRs are like https://github.com/gradio-app/gradio/pull/3300 (and the merge commit's message is what it is) it's hard to understand why some decisions have been made when doing `git annotate` later on.

Gradio for a ui that your commanderGPT can visit and use

gradio is documented, it doesn't seem very complex, it would be something like moving this block under the other one. i think it's ui_extra_networks.py, the file you are looking to edit. (if you do it make a copy to restore when you go to update)

Gradio did have an issue for a while where your URL was guessable, so unless you had a password it was pretty easy to find, but as far as I know they've increased the complexity so much that it's no longer an issue.