sd-webui-bayesian-merger
sd-webui-bayesian-merger | carpet_localisation | |
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4 | 2 | |
118 | 3 | |
- | - | |
8.3 | 0.0 | |
4 months ago | over 2 years ago | |
Python | Jupyter Notebook | |
MIT License | OSI Approved |
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sd-webui-bayesian-merger
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Questions regarding SDXL architecture
As context, for a while now I've been looking into improving current automated model merging methods(and some other stuff, gonna present something nice in a few months when I get to finishing it). It's practically a 26 dimensional stochastic black box optimization problem and that was kind of fine so far (shoutout to https://github.com/s1dlx/sd-webui-bayesian-merger and all the work people put there, especially the author).
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Ask HN: Most interesting tech you built for just yourself?
I’ve implemented a Bayesian optimizer for stable diffusion model merging [0]. This is because I do not have patience and/or time to try all different block combinations by hand. It started as a personal thing but now multiple people are working on it and a small community was born.
[0] https://github.com/s1dlx/sd-webui-bayesian-merger
- Automatic Bayesian Block Merger for SD-webui
carpet_localisation
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Ask HN: Most interesting tech you built for just yourself?
I made a robot location tracking system specifically for use on the carpet at my office.
The carpet was an arrangement of 4 particular colors tiled in squares, so I manually made a carpet map (a few hours in excel!), wrote a carpet color classifier to run from under-robot camera data, then integrated with a particle filter for location tracking. Write up is here:
https://github.com/tim-fan/carpet_localisation/wiki/Carpet-L...
I wrote it only ever expecting usage in this particular office, but if anyone has a similar carpet and a robot that needs localizing, please reach out!
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Ask HN: What Are You Working On?
ROS package with gazebo simulation : https://github.com/tim-fan/carpet_localisation_ros
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