you mean existing picture?
you mean existing picture?
Fjupyter notebooks are harder 
Fdisable caching caching Text Encoder outputs
JNo I typed wrong , I mean, how can I adjust the details of the enhanced image to make it sharper? Without losing details Refers to my face shape used for training
MI liked the hires fix better. For the face trained loras, it definitely worked better with the hires fix than with adetailer. I tried the other adetailer models, but most of the time they made the original result worse. True, I just turned it on by default, not trying to get a better result, but I would think it would work fine by default. But I'll check later to see if I really need a pilot test.
Fi dont know
EYou know I forgot all about hiresfix since I switched to SDXL. Gonna try that too.
S@Dr. Furkan Gözükara hi, I trying to do a training in dreamboth using runpod when I try to put the path of the source directory like "/workspace/768x1024" where my images to be trained is supposed to be I and the click on preprocess
I have an error
---
Error completing request
files = listfiles(src)
File "/workspace/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 30, in listfiles
return os.listdir(dirname)
FileNotFoundError: [Errno 2] No such file or directory: '/workspace/768x1024'
---
I have an error
---
Error completing request
files = listfiles(src)
File "/workspace/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 30, in listfiles
return os.listdir(dirname)
FileNotFoundError: [Errno 2] No such file or directory: '/workspace/768x1024'
---
Acreate illusion diffusion images and animate, https://medium.com/@andysingal/unleash-your-imagination-crafting-mesmerizing-illusions-with-illusion-diffusion-net-f9b80e245243
DSDXL quality is insane
Mhow did you do that ? i want to know 
kohya SS with SDLX lora training ?
kohya SS with SDLX lora training ?
Si'm still pretty happy with 1.5
Mwhen you train , it's better to use sd1.5 or SD 2.1
Fshow screenshot of your workspace please
F100%
Fsuper cool
Fsd 2.1 useless dont waste time
DMy googling is failing me: should I use the "Game Ready" or "Studio" NVidia driver?
DI'm currently using the Studio Driver (I work a lot with DaVinci Resolve, so that made most sense to me at the time).
DI'm having some system stability issues with loads of crashes, so I'm going through all options with reinstalling Windows last.
SHi @Dr. Furkan Gözükara I follow your runpod tutorial for creating portrait photo images training model of a data set of a woman and the output start to create naked pictures half body there is any way to avoid that?
S@Stefanoid9343 negative prompts, using models that do not have nudity, and i think there might be something in settings tab that helps as well.
SAnyone have advice on best upscaling techniques?
DI'm no expert, but I was spending a few hours the other night researching and experimenting with upscaling. I found this Reddit post that is really good: https://www.reddit.com/r/StableDiffusion/comments/y2mrc2/the_definitive_comparison_to_upscalers/
Reddit
Explore this post and more from the StableDiffusion community
DMy favourite is still ESRGAN_4x, but I'm still trying new ones.
EHi, could someone plz point me to the right resources for incorporating two safetensors into sd 1.5 or sdxl? Is it possible to use one that's completely different from the other (one that tells the model what my dog looks like & the other that is a pixel art theme)
KVery useful & interesting thank you very much. How is your flexibility test going? CivitAI also use batch 2 to train their Lora so I guess batch 2 could be a sweet spot.
Vsdxl is terrible on some notebooks
Sshould I add negative prompts before start the training? also I’m getting double persons and half bodies instead of portrait shots. I’m training 768x1024 maybe is better use 1024x1024?
KHi guys how do you save Prompt as a text file with ComfyUI please?
I found this node of pythongosssss but I'm not a coder so I don't know how to change the "$output/*/.txt" to save the txt file into /workspace/ComfyUI/output/ComfyUI_00471.txt (next to the ComfyUI_00471.png so I can download both of them. I'm using Runpod)
https://github.com/pythongosssss/ComfyUI-Custom-Scripts
I found this node of pythongosssss but I'm not a coder so I don't know how to change the "$output/*/.txt" to save the txt file into /workspace/ComfyUI/output/ComfyUI_00471.txt (next to the ComfyUI_00471.png so I can download both of them. I'm using Runpod)
https://github.com/pythongosssss/ComfyUI-Custom-Scripts
MAnyone knows how to get kohya recognize the --train_text_encoder command?
Edo we have a config file or something to help us use kohya to train dreambooth on SD1.5 models?
Vanyone uses invoke ai, too?
Vwhy it seems that each prompt can produce only 1 image at one time
FInitializing bucket counter!
Steps: 1%| | 10/1100 [01:38<1:59:03, 6.55s/it, inst_loss=0.0501, loss=0.0501, lr=0.0001, prior_loss=0, vram=6.8] guys is this a normal ? I started use brand new stable diffusion v1.6. If you got advice how can i increase this speed please share me. Sorry for my bed england
Steps: 1%| | 10/1100 [01:38<1:59:03, 6.55s/it, inst_loss=0.0501, loss=0.0501, lr=0.0001, prior_loss=0, vram=6.8] guys is this a normal ? I started use brand new stable diffusion v1.6. If you got advice how can i increase this speed please share me. Sorry for my bed england
Fi got rtx 4070 8gb r7 7840 hs cpu
S@Stefanoid9343 from my experience the double the double people thing really depends on the model you are using to train with because if it was trained in 512 or you are much more likely to get double people if you go higher than 768 and it's still not always perfect if it was a 768 training. a lot of the newer really good models i have downloaded have specified that you need to specify outfits or you are more likely to get nsfw results. your best bet if you don't want any chance of nude images is to find a model that doesn't produce nsfw images i think. but i am no expert.
Ldoes anyone know what is this error?
L@Dr. Furkan Gözükara I am using 150 training steps per image and have 30 images in my dataset. I am not using any classification images. Do you have any advice why does my train model look different from my dataset?
L
Swhat tokens are you using?
Sif you just gave it a standard name the model could already have some info on that for example if you are using "olivia" vs something like "ohwx"
L
Si don't even put woman in my instance prompt personally
Snot sure if that matters but @Dr. Furkan Gözükara usually suggest class images when he does it that way or when he trains in general
Li will try to train another one without the word woman
Lhow many class images do i need for 30images in dataset?
Sthat should be plenty from my experience
Si've done some with 20 and others with 200
Sover training and bad quality have usually been my only issues with not using class images, it's pretty much always looked like my dataset