I send the wrong photo sry, it's not working with xl controlnet models
I send the wrong photo sry, it's not working with xl controlnet models
9 Replies
Yes, I'm running a 4090 at the moment. I'm just wondering which version of Dreambooth I should use in terms of the ones listed here https://github.com/d8ahazard/sd_dreambooth_extension/tags , because it seems like the version I got from the "extensions" tab is just not working properly, or I have something set very wrong & nothing is fixing it for some reason.
I mentioned before, when I first watched your original Tutorial on training LoRA through Dreambooth, my Dreambooth looked the same as yours & everything was decent enough, but then my SD broke when I was trying to get TensorRT working the first time, so I had to reinstall it from scratch, and since then, my Dreambooth looks very different from the one in the tutorial, so I'm not sure if I'm missing a setting, have something wrong, or what the issue is.
I've tried training the same face off as many as 60 & as few as 25 images, with quite a few different settings ranges (I've literally tried to train this face 10 times now lol), and it keeps coming up as barely any different than if I put the person's name in with no LoRA loaded, in terms of how they look, on a given Checkpoint.
I've tried training the same face off as many as 60 & as few as 25 images, with quite a few different settings ranges (I've literally tried to train this face 10 times now lol), and it keeps coming up as barely any different than if I put the person's name in with no LoRA loaded, in terms of how they look, on a given Checkpoint.
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Tags · d8ahazard/sd_dreambooth_extension
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depending on how hot you're getting, and what GPU we're talking about, it should be fine. I cranked my 4090 at one point when rendering batches of 4x4, and it was actually getting warm enough to thermally throttle the clocks slightly, but that was with a +150 core or so offset, with the voltage maxed & the power slider maxed, and that's on an air cooled card in a well ventilated case, the GPU Hotspot in HWInfo was showing 87.6C 😄 it was kinda warm in here since it's winter, but yeah. If you're not overclocking and you have a well ventilated case, I would say don't worry about it.
You can also try Undervolting, because rendering in SD uses VRAM more than the Core, so undervolting/downclocking your core a bit will actually save a lot of heat by lowering your power draw. I've been running my 4090 @ 2600MHz core with 900mV & the difference in render time between that & stock is less than 3 seconds on a 16-image batch - but that runs literally 10C cooler on the core & draws ~120W less power while rendering. Quoted the wrong post but that was in reference to you asking about liquid cooling your GPU.
You can also try Undervolting, because rendering in SD uses VRAM more than the Core, so undervolting/downclocking your core a bit will actually save a lot of heat by lowering your power draw. I've been running my 4090 @ 2600MHz core with 900mV & the difference in render time between that & stock is less than 3 seconds on a 16-image batch - but that runs literally 10C cooler on the core & draws ~120W less power while rendering. Quoted the wrong post but that was in reference to you asking about liquid cooling your GPU.
I have used the CN py from patreon to update:
python CND_runpod.py
still having issues
this is my extension tab:
It failed again : https://pastebin.com/0h7sSbKa
for time being will train new image batch with lora. Last time there were too many repeating images which made lora inherit certain aspect of dress/color into it and was making output with repative features of the images
just run cell again
load and hit again
it will cache the remaining images
what(): [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=3, OpType=ALLREDUCE, Timeout(ms)=1800000) ran for 1802130 milliseconds before timing out.
caching taking too long thus failing
or reduce repeating count
like half it and double the epoch
hi you need to show cmd output
did you kill previous instance and started yourself?
For 4090 definitely do SDXL DreamBooth with our config from here on Kohya
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24GB_TextEncoder.json