Had a new visitor to the garden yesterday. He came over to get attention every few minutes and otherwise just sat and chilled nearby while I touched plants. #catstr
John Dee
npub1lcez...w464
Started a new compost pile a few days ago...
Rather than mixing everything on a tarp first, the ingredients went into the bin in single-bucket layers. Every few buckets I added a handful of cottonseed meal and cheap cat food for high nitrogen. It seems to be heating up nicely.
The first turn showed the inside was a little dry, which I think was indicated by the temperature dropping rapidly right before turning. Getting the moisture level right is harder when it's not mixed on a tarp first.
#compost #soilfoodweb #permies #permaculture
Rather than mixing everything on a tarp first, the ingredients went into the bin in single-bucket layers. Every few buckets I added a handful of cottonseed meal and cheap cat food for high nitrogen. It seems to be heating up nicely.
The first turn showed the inside was a little dry, which I think was indicated by the temperature dropping rapidly right before turning. Getting the moisture level right is harder when it's not mixed on a tarp first.
#compost #soilfoodweb #permies #permaculture
I had about 50 buckets that needed a thorough cleaning with the pressure washer. So I repurposed my saw buck to hold them.
Slight downward angle lets it drain while washing. The saw buck is made from an old salvaged wood ladder. The rung on the back holds the bucket so it doesn't fly away from the pressure washer.
#permies #permaculture
Slight downward angle lets it drain while washing. The saw buck is made from an old salvaged wood ladder. The rung on the back holds the bucket so it doesn't fly away from the pressure washer.
#permies #permaculture
I made a Grafana dashboard to monitor soil moisture throughout my garden:
The measurements are not consistent across sensors, so I've been watching what happens after watering (the spikes) and estimating field capacity for each sensor (the green dashed line).
#grafana #homeassistant #permaculture #grownostr
The measurements are not consistent across sensors, so I've been watching what happens after watering (the spikes) and estimating field capacity for each sensor (the green dashed line).
#grafana #homeassistant #permaculture #grownostr
#aiart #stablediffusion #animatediff
It's a bright sunny day, so I took a look at the illuminance numbers on the sensors again.
Lots of variance in the raw numbers. Giving each one a scale factor based on its largest reading seems to calibrate them fairly well. Sensor 2 is less accurate now at lower levels, but these will be outside so it's not too important to get accurate numbers for lower light levels.
#grafana #homeassistant #grownostr
Lots of variance in the raw numbers. Giving each one a scale factor based on its largest reading seems to calibrate them fairly well. Sensor 2 is less accurate now at lower levels, but these will be outside so it's not too important to get accurate numbers for lower light levels.
#grafana #homeassistant #grownostr
With only a few hours of data, I can see that sensor 2 is definitely giving invalid luminance numbers.
The variance in the other sensors is high, but they follow the same pattern and might be fine with a manual offset. Since it was cloudy today, none of them hit the upper limit of measurement. In previous testing with sensor 1, the limit was 100,000 lux.
Next, I made it rain.
The large spike shows the senors are correctly detecting a change in moisture. Despite being right next to each other, they show very different percentages, as much as 20%. Seeing the moisture level drop off quickly seems like a sign of good drainage, at least down to 3 inches.
It may be worth trying to calibrate the sensors in water. At the very least these give an idea of the relative moisture changing over time.
#homeassistant #grownostr
The variance in the other sensors is high, but they follow the same pattern and might be fine with a manual offset. Since it was cloudy today, none of them hit the upper limit of measurement. In previous testing with sensor 1, the limit was 100,000 lux.
Next, I made it rain.
The large spike shows the senors are correctly detecting a change in moisture. Despite being right next to each other, they show very different percentages, as much as 20%. Seeing the moisture level drop off quickly seems like a sign of good drainage, at least down to 3 inches.
It may be worth trying to calibrate the sensors in water. At the very least these give an idea of the relative moisture changing over time.
#homeassistant #grownostr
#zapathon
#zapathon
Dropping some science on the garden today.
I've been testing a pair of these plant sensors for the last few weeks and decided they were useful enough to get more. During testing I found that sensor 2 showed odd readings for light level. Placed right next to each other, when the light level was below 10k both sensors showed approximately the same value, but above 10k sensor 2 was off by a factor of about 2.75. It still followed the same pattern, so it seems like a calibration error.
I got 6 more sensors and placed them all next to each other. Now I'm giving the sensors a chance to stabilize and accumulate data. We'll see how consistent the readings are before putting them in their final locations.
#permies #permaculture #gardenstr #grownostr
I've been testing a pair of these plant sensors for the last few weeks and decided they were useful enough to get more. During testing I found that sensor 2 showed odd readings for light level. Placed right next to each other, when the light level was below 10k both sensors showed approximately the same value, but above 10k sensor 2 was off by a factor of about 2.75. It still followed the same pattern, so it seems like a calibration error.
I got 6 more sensors and placed them all next to each other. Now I'm giving the sensors a chance to stabilize and accumulate data. We'll see how consistent the readings are before putting them in their final locations.
#permies #permaculture #gardenstr #grownostr
The AnimatedDiff extension for Automatic1111 needs some work, but the results are promising. See replies for more examples.
(right-click loop and fullscreen for the best effect)
Here's what I learned from testing:
* You need enough VRAM to render all the frames at once, in a single batch.
* 16 frames at 512x512 uses 8.9 GB, 512x768 uses 11.2 GB for me.
* Use the 1.4 motion module. 1.5 almost always has watermarks, and often very little motion.
* Crank the CFG up to 10-25, otherwise the images are faded and lack detail. This seems like a bug in the extension because the original implementation works at normal CFG.
* Going over 75 tokens will change the image halfway through because of the way A1111 handles long prompts, so keep it less than 75.
* Face restore seems less stable between frames, try turning it off.
* Dynamic prompts should be removed, or they'll change for each frame (which might be neat if done intentionally).
* The motion modules were trained on 16 images. You can do more or less but don't expect good results. Using 24 frames often has too much change between frames but can still produce good results. 8 frames is good enough for an image to look "alive" but not long enough to show much motion.
* Remember to edit ui-config.json after running the plugin to set your defaults. Search for "animatediff" and set the motion module and output formats.
AnimateDiff combines well with One Button Prompt, but be careful not to go over 75 tokens. Try turning down the complexity to 3 or 4.
#stablediffusion #aiart #animatediff #grownostr
(right-click loop and fullscreen for the best effect)
Here's what I learned from testing:
* You need enough VRAM to render all the frames at once, in a single batch.
* 16 frames at 512x512 uses 8.9 GB, 512x768 uses 11.2 GB for me.
* Use the 1.4 motion module. 1.5 almost always has watermarks, and often very little motion.
* Crank the CFG up to 10-25, otherwise the images are faded and lack detail. This seems like a bug in the extension because the original implementation works at normal CFG.
* Going over 75 tokens will change the image halfway through because of the way A1111 handles long prompts, so keep it less than 75.
* Face restore seems less stable between frames, try turning it off.
* Dynamic prompts should be removed, or they'll change for each frame (which might be neat if done intentionally).
* The motion modules were trained on 16 images. You can do more or less but don't expect good results. Using 24 frames often has too much change between frames but can still produce good results. 8 frames is good enough for an image to look "alive" but not long enough to show much motion.
* Remember to edit ui-config.json after running the plugin to set your defaults. Search for "animatediff" and set the motion module and output formats.
AnimateDiff combines well with One Button Prompt, but be careful not to go over 75 tokens. Try turning down the complexity to 3 or 4.
#stablediffusion #aiart #animatediff #grownostr
First harvest of serviceberries (amelanchier alnifolia) from a tree I planted two years ago.
#permies #permaculture
#permies #permaculture
It might helpful, or at least interesting, to know how a stable diffusion checkpoint was trained. I grabbed this script from reddit and packaged it up for easier use. It compares two checkpoints and shows the tokens with the largest difference between them. These are likely to be the words used more frequently during fine tuning.
https://github.com/zappityzap/tokenator
Easily pulled this dandelion out of my garden bed. I think my soil is improving.
#soilfoodweb #permies #permaculture #gardenstr
#soilfoodweb #permies #permaculture #gardenstr
I didn't intend to delete the post of the beautiful garlic, oops. To make up for it, here's a beautiful red dragonfly I met in the garden today. It was so busy chowing down on something it caught that it didn't mind me sticking a camera in its face.
get weird. stay weird. nostr.
#stablediffusion
#stablediffusion