Could you check the DM as I don't wanna flood the main chat, since no one using colab 🤣
Could you check the DM as I don't wanna flood the main chat, since no one using colab 
Boh and I've meaning to ask this. During dreambooth epic video, you used a classification folder with 2400 images of man, but then in the concepts tab you put "50 class images per instance image" and that generates a set number of class images again, why is that?
Dnew optimizers: adamw (replaces adam), dadaptation sgd, dadaptation adamw, dadaptation adagrad
Dand ddpm noise scheduler added
Fno it wont generate again unless you need more than 2400
Fi didnt notice much difference of it
Fhaha animated dwayne johnson
Fwhat you think
Boh nice, another content creator NerdyRodent, he's been using something similar for a while now, but not sure if that also has the custom head movementsor not. Whats your method called?
FSpline Motion Model. i plan a tutorial for this
Fthe problem is resolution is not great
Fmaybe i can use ultrasharp upscaler to upscale
Bseems like it, it'll be good for like a floating head for your videos
BHave you tried the TRAIN IMAGIC ONLY optiomn in dreambooth extension?
Bbut, I uploaded 1700 reg images for 13 instance images and the slider at 100 but it generated another 400 and something more class images. Is it because i set the number of sample to generate at ''2''?
Fmaybe it wasnt able to read all your class images
Fbecause this doenst make sense
Boh yes! that could be it. right.
Zin stable diffusion, is there a good extension or method to basically overlay one image on top of another image?
GDoes anyone know if there’s a fast way to install a trained model into Jupiter? It’s currently estimated to take hours for me to load it in. Just wondering if there’s a faster way?
Frunpodctl
Fcheck chapters
FYouTubeSECourses - Software Engineering Courses
Sign up RunPod: https://bit.ly/RunPodIO. Our Discord : https://discord.gg/HbqgGaZVmr. This is the Grand Master tutorial for running Stable Diffusion via Web UI on RunPod cloud services. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 
https://www.patreon.com/SECourses...
https://www.patreon.com/SECourses...GThank you. Am checking now and after you download CTL you install a model via a url. If I’m trying to upload a model from my desktop, do I simply upload it straight into models without using the terminal? And it will automatically upload through CTL?
M@Furkan Gözükara SECourses , i have a question, i was training a model in dreambooth using v1-5-pruned.ckpt as source checkpoint. after 150 epochs i stopped it and wanted to test it out, so i clicked on generate ckpt file, it gives me a savetensors file. when i use that model in the text2img it is only able to create the thing i trained, it is not combined with v1-5-pruned.ckpt anymore, is that right?
MMhow can I fix this
Mor do i need to use checkpoint merger afterwards?
JCheck out: https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/master/modules/hypernetworks/ui.py see if that's the fix you are looking for.
Fyes you can use runpodctl on your pc as in your pod
Fnot anymore ckpt. saved as safetensors
Fyes you cant train with lowvram
Fyour options are cloud
Frunpod or google colab for example
Fyou dont need
Ftextual inversion dont work with lowvram i tested :d
Fhyper networks i didnt though
Fbut probably wont be as well
Fgenerating base avatar for animation tutorial
F
Mso how would i fix it that after the training i am not able to genereate for example an apple, is it overtrained?
Fi didnt understand your question?
Falso use checkpoint comparison which i explain
Fin my many videos
Myess i did that, but all my checkpoints arent able to generate anything else than what it was trained on. but i did use v1-5-pruned ad base model in the training
Mso thats why i am questioning if i should merge the model or did i do something wrong earlier?
DMy stable diffusion model doesnt produce any images anymore