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Show HN: Offline sketch to image geneartor in a whiteboard

drawing.pics

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Re: Show HN: Offline sketch to image geneartor in a whiteboard

#11
post #5

Unfortunately, the model download keeps failing for me. That being said, it looks promising and I love how simple the setup looks.

Sorry for that, could you please provide screenshots or description in here: https://drawingpics.canny.io/feedback So that I can investigate the issue

Re: Show HN: Offline sketch to image geneartor in a whiteboard

#18
post #8
post #7

I here a lot of people really like Stable Diffusion for Krita ( https://github.com/Acly/krita-ai-diffusion ). It's pretty easy to set up, powerful, local, and totally free.

Krita is a great drawing app, but the Krita SD plugin is not easy to set up. I think DrawingPics installation is more friendly, I wrote a blog about it https://docs.drawing.pics/index/getting-started/drawingpics-...

To setup the Krita SD plugin, literally all you have to do is download it and import it into Krita. It installs the backend all by itself.

Re: Show HN: Offline sketch to image geneartor in a whiteboard

#19

> The easiest way is to run a Python HTTP server, but the memory usage is too high. We need a more lightweight solution, so I used xmlrpc for memory efficiency Doesn't XML-RPC operate over HTTP?

It does, but I used Flask previously for comparison, so I came to that conclusion.

Re: Show HN: Offline sketch to image geneartor in a whiteboard

#20
post #18
post #8

Earlier quoted context omitted.

Krita is a great drawing app, but the Krita SD plugin is not easy to set up. I think DrawingPics installation is more friendly, I wrote a blog about it https://docs.drawing.pics/index/getting-started/drawingpics-...

To setup the Krita SD plugin, literally all you have to do is download it and import it into Krita. It installs the backend all by itself.

Hi, I found the Krita SD plugin docs here: https://www.interstice.cloud/plugin

It seems it needs Docker to be installed? It might consume more power than running in a local Python environment.

By the way, the plugin is great.

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