you cna stop training and download checkpoints
you cna stop training and download checkpoints
Fbefore going to sleep
DSet alarm, just woke up, it's 3am now.. Downloaded all loras. Tom will do xyz of all loras, and see which is good.
Will give dreambooth training one more try. Have only 10 hours of gpu time.
Once again thanks a lot @Dr. Furkan Gözükara .thanks for replying for each of our messages..
Will give dreambooth training one more try. Have only 10 hours of gpu time.
Once again thanks a lot @Dr. Furkan Gözükara .thanks for replying for each of our messages..
DGn guys
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=40)
DI learned something about using ControlNet with SDXL. Not every option in ControlNet has an SDXL model. I suspect that is why some say that ControlNet is only partially compatible with SDXL.
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=16)
Faccurate
Fyou need to have XL in the name of the selected model
Fclass images datasets updated : https://civitai.com/articles/2285/massive-4k-resolution-woman-and-man-class-ground-truth-stable-diffusion-regularization-images-dataset
Download link > https://www.patreon.com/posts/87700469 The best ever released Stable Diffusion classification / regularization images dataset ju...
ZWhat's the best way to upscale human photos to get the best detail?
DJust need a clarification, if we stop training midway, can we continue again?
Also how can we prevent installing from the start for each notebook we create on kaggle or any platform?
In case we can preserve the setup, we can simply go and change, say, the training images, and simply hit train.. Last time on runpod, it was consuming space, so I was loosing money.
I
Also how can we prevent installing from the start for each notebook we create on kaggle or any platform?
In case we can preserve the setup, we can simply go and change, say, the training images, and simply hit train.. Last time on runpod, it was consuming space, so I was loosing money.
I
DFor those who get Automatic1111 stuck in cmd , here is the solution : https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/2452
TLDR : Just go to properties of CMD and uncheck "Quick Edit Mode"
TLDR : Just go to properties of CMD and uncheck "Quick Edit Mode"
GitHub
No error when this happen In Windows, i noticed some recently version have this problem, when i set hundred to thousand batch count, it just stucked random at batch xx (sometime at batch 2, sometim...
FOpenModelDB
OpenModelDB is a community driven database of AI Upscaling models. We aim to provide a better way to find and compare models than existing sources.
Fyou can continue by starting a new training from last checkpoint as a base model
Fi always mention this in tutorials hit enter if you see cmd stuck 
Fi got huge results with llava
Fwhen training a style
Djust did a massive x/y/z plot with various models :
- Some lora`s are bad independent of which epoch it is (higher)
- Even starting Epochs are good sometimes .
- Each models(from civitai) produce different face with different Lora/epoch.
Dwhere should we use the checkpoint ? ok , dont want to go into that , may be it will be useful for someone.. , dont want to waste your time.
I and many would love if you can do a detailed explanation on Automatic1111 , because i feel there is loads of potential / tinkering to be done on it.. and also on absolute necessary extension , for eg adetailer ,
I and many would love if you can do a detailed explanation on Automatic1111 , because i feel there is loads of potential / tinkering to be done on it.. and also on absolute necessary extension , for eg adetailer ,
Fyou know we give sdxl 1.0 base
Fin the kohya gui
Fyou give your last checkpoint there
Doh ok. so we can just upload as dataset and link it in the code.
Fyou can give checkpoint path
Dyes.. understood !!
I am very keen on trying dreambooth..
I am very keen on trying dreambooth..
Done question , how can we save the current state of setup ? in kaggle ?
Fso many things to make tutorial of
Fyou save checkpoint and use it
Fnot state
DNo i meant , the notebook setup
Fyes on there
Fgive checkpoint file path
Flike
F/kaggle/working/mycheckpoint.safetensors
For in temp that one
Dtill kohya setup , it takes around 30-40 min , if something bad happens , the session is terminated or jupyter is off , all setup is lost
Di meant " !bash gui.sh --headless" till this line in code
Disnt this when we start using hte gui of kohya
Dis there a way to save till this state , the notebook ?
Dso that we dont want to wait everytime 30-40 min to install from first ?
Dalso can i turn on gpu before training ?
Dor is it needed while installing hte requiremnts to properly config ?
Dstarted the first cell now
Ddont want ot screenshot your notebook codes
Dfor first step itself it will take 15 min i guess.. i thought , if at all we can save the state of notebook at a specific point , it will easy for us to open it again and do necessary changes and start from where we left
Dended
Droughly 12 min
DDsolid 15 min till we reach gui
Dagain caching latent at 31:35 min , this too will fail i think , may be i will reduce few images from training ?
Donly 5 min to finish caching 