I recommend using the 6.0.1 image. 8.0.1 still seems buggy, Jupyter Lab doesn't work properly with
I recommend using the 6.0.1 image. 8.0.1 still seems buggy, Jupyter Lab doesn't work properly with the 8.0.1 image.
GHow do we find that? What is the template called?
A8.0.1 fixed a lot of bugs with 8.0.0 but still seems buggy.
GI'm using the one called "RunPod Stable Diffusion v1.5+v2"
Aimage name:
templae id:
runpod/stable-diffusion:web-automatic-6.0.1templae id:
runpod-stableAThat should still be 6.0.1 and not 8.0.1.
AIt was 8.0.0 but they rolled it back because it was too confusing.
GIt is "runpod/stable-diffusion:web-automatic-6.0.1" and I still get that error...
GThere is not even an option to use 8.0 from what I see
Athe commands work with that image, last I checked
AYeah you don't wanna use that one yet.
ADid you activate your venv before installing torch?
GNo. That's not mentioned in the video
AIf you type
which python3 what does it say?G/workspace/venv/bin/python3
AThen its already activated
GAnd now SD is loading for some random reason 
GVery odd. First time I ever saw that 'not matching' error come up.
AYeah I've never seen it
PIn your opinion, what was the parameters in controlnet to achieve this result ? https://www.reddit.com/r/StableDiffusion/comments/13vp8sz/yes_my_4_year_old_sons_original_drawing_has_its/
Would like to try it on children drawings too !
Would like to try it on children drawings too !
reddit
1,451 votes and 160 comments so far on Reddit
Fhello. are you using latest automatic1111? this was fixed
Fyou should do pip uninstall torch torchvision torchaudio then reinstall
Fjust scribble and prompt may work
AThey resolved it by updating to the latest version 
ASo far in my limited testing I am seeing better results using
Adan Dadaptation than Lion optimizer, but the dev branch of Dreambooth requires way too much VRAM.Finteresting i wonder what caused the spike
AApparently not tested with Linux 
Arrow — Today at 10:42 PM
I haven't ran this with linux, so I don't really know. You'd probably have to search the web for the issue and tinker around. A quick thing you could try is disabling torch dynamo at the top of dreambooth/train_dreambooth.py:inner_loop
https://pytorch.org/docs/stable/_dynamo.html#torch._dynamo.disable
Arrow — Today at 10:42 PM
I haven't ran this with linux, so I don't really know. You'd probably have to search the web for the issue and tinker around. A quick thing you could try is disabling torch dynamo at the top of dreambooth/train_dreambooth.py:inner_loop
https://pytorch.org/docs/stable/_dynamo.html#torch._dynamo.disable
ZI've gotten it to create the images and upscale, but at the end ffmpeg does it's split, i get an error
unrecognized option 'crf' .
unrecognized option 'crf' .
message.txt2.72KB
Fi use davinci resolve
Fto reconstruct
Ffree edition
Zi'll see if i can install that on manjaro
Zso is it safe to say that the built in reconstruction using the gpu option is broken at this point?
Fgpu working for windows
Fon colab working as well
Zyeah idk why it won't reconstruct it on mine, followed all the reports that I can see, unfortunately they closed the discussion group
Zyou know me, i'll figure it out, will just take some time
Fyep you are really good
F@Dr. Furkan Gözükara did you change the tutorial for face swap?
Fwhere is the -f and -o parameters?
For they were never there?
Fthat is for google colab
For if you run without gui
Fnow works with gpu too
Foh right!
Fi got it from colab not the github tutorial
Fi can't get cudnn to work on runpod
Fit is much faster with gpu?
FGitHub
Regardless if you guys have pulled the model for any which reason, it's probably best to verify the hashes below so that people don't download anything malicious? Below is the version I dis...
Flet me do test
Fgpu : Processing time: 21.62 seconds
