quick question , on runpod with the models that are with the stable-diffusion is it still needed to
quick question , on runpod with the models that are with the stable-diffusion is it still needed to upload the 1.5v pruned model?
G
Fi prefer that for training
Fthat one better
Fuse wget downloads very quickly
Gwhere can I get the link?
Gthank you very much
GGoing to attempt to use RunPod to train my images again and to a style as well
Fwatch my videos to save your time
Fnasıl yeni thumbnail ler
FYouTube
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Fya milleti görüyorum 1 video 100k izleniyor 200k
Fyeni başlamışlar
Fbir türlü tutturamadım :d
Gthis is actually really really cool
GIt's a bit weird on the face but overall I think the local training worked
Fnice you are learning it
Fguys please upvote : https://www.reddit.com/r/StableDiffusion/comments/11wke2p/ultimate_guide_for_teaching_a_style_get/
reddit
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GSo now that I trained it on my face (redoing it with better settings in RunPod) how do I go about adding hero costumes, better backgrounds etc ?
Gdo I need to train it on that as well ?
Fthey are already in the model you need prompt
Fbut if you want a style you can teach it
Falso you can inject your face into custom models
GI need to learn how to prompt then
FYouTubeSECourses - Software Engineering Courses
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https://www.patreo...Gbest up to date video for the X/Y/Z picking
FI think check this one
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P@Furkan Gözükara SECourses You can increase the resolution of the inpaint to get even better face for farther away shots
FWell I dint see much difference of that
FAlso takes time 
PThis is true
Panother trick is to also inpaint multiple times, starting from low denoise to slightly higher
FSecond tricks sounds nice I should try
Palso higher resolution makes a difference for finer details like the eyes but not the rest
FIf only I had a faster card
Pthis is why I use runpod or vast.ai 
GIt's been stuck on 25% for a while now
G
Gnot sure if it crashed or not
Gwhat can I do to check how far it was?
Jhas anyone encountered this error for lora training
JFile "/home/ubuntu/SD/stable-diffusion-webui/venv/lib/python3.8/site-packages/safetensors/torch.py", line 98, in load_file
with safe_open(filename, framework="pt", device=device) as f:
Exception: Error while deserializing header: InvalidHeaderDeserialization
with safe_open(filename, framework="pt", device=device) as f:
Exception: Error while deserializing header: InvalidHeaderDeserialization
JThis is to load a lora trained on the Kohya script
Fyes gradio may freeze. check status of cmd window
Fno idea atm
GI don't see ankything in rudPod
Fcheck models folder
Fthe training could have been finished
Fyou can calculate the latest epoch from step count
