Ok perfect brother thank you
Ok perfect brother thank you
Dthat should help you with IPa, reactor is really for the deepface part
Dmy pleasure, don't forget to ping to show the result ;p
MrealvisXL 2.0 and juggernautXL_v7 - both excellent at human figure and details, no experience with generating other type of art.
Fonly fp16 vs bf16 differs
Fbetween different gpus
Fyes 1 gb is good
Fyou need to start as half precision
Fhello welcome
Fit must be due to you are failing to kill automatically started SD web ui instance
Fyes 1024x1024 for sdxl
Fif you do sd 1.5 training
Fthey need to be 512x512 depending base model you use
D@Dr. Furkan Gözükara any idea why my latents are caching so slow on koyahss dreambooth? i have 4090
Dim gonna restart env just in case
Fsuper slow
Fi think it is a bug of nvidia driver
Dim going to resintall whole koya env lets see
SWouldn't whatever is happening effect every process I try and run? If you can run
Clip_Interrogator.pydoes anyone have any tips for further training on kaggle after uploading to hugging face? I have a model I am training but I will run out of qouta before it finishes, the 83% checkpout should save before my qouta runs out though. If I set the initial training for 100 steps, and save at 83% how do I re-upload it to train it the remaining 17% for the next checkpoint?
Fyou know full precision uses almost double of half
Fyes give it as a base model
Mhey i've been trying to train a model in dreambooth. but this always ends up happening
Hsorry which field do I need to amend to upload as a base model? is it these? is it one or both? Then I just need to amend the training steps as appropriate?
Fyou should use my colab
FYouTubeSECourses
Our Discord : https://discord.gg/HbqgGaZVmr. How to do free Stable Diffusion DreamBooth training on Google Colab for free. 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
Playlist of Stable Diffusion Tutorials, Automatic1111 and Goo...
https://www.patreon.com/SECoursesPlaylist of Stable Diffusion Tutorials, Automatic1111 and Goo...
Fyes download it onto kaggle
Fthen give its path
Fyou need to do that
Flike we give path on runpod
FYouTubeSECourses
If you don't have a GPU, or have a strong GPU, or you are using Mac and your computer not supporting Stable Diffusion training, SDXL training, then this is the tutorial you are looking for. In this tutorial, we will use a cheap cloud GPU service provider RunPod to use both Stable Diffusion Web UI Automatic1111 and Stable Diffusion trainer Kohya ...
SYes, of course.
I guess I'm confused because in your video https://youtu.be/PNA9p94JmtY?t=380 at 6:20 you state that the Gradio application ran with
I guess I'm confused because in your video https://youtu.be/PNA9p94JmtY?t=380 at 6:20 you state that the Gradio application ran with
Clip_Interrogator.pyYouTubeSECourses
Download scripts from here 
https://www.patreon.com/posts/sota-very-best-90744385
Full length Twitter video here
https://twitter.com/GozukaraFurkan/status/1712665890259447831
SOTA (The Very Best) Image Captioning Models Script For Stable Diffusion And More
1 Click install and use SOTA image captioning models on your computer. Supports 8 ...
https://www.patreon.com/posts/sota-very-best-90744385
Full length Twitter video here
https://twitter.com/GozukaraFurkan/status/1712665890259447831
SOTA (The Very Best) Image Captioning Models Script For Stable Diffusion And More
1 Click install and use SOTA image captioning models on your computer. Supports 8 ...
Flet me test on my system right now
Fi am doing a fresh install
Fyou are trying run_Clip_Interrogator.bat right?
SCorrect
Fthen you selected these 2?
F
SYes
Fbefore the app
F
MI've been trying to install the requirements, but I#m already failing at this step
Fwhile app running
F
F@Sarcasticest it is using 17 GB or lesser
Fuse my colab
Mthe one thats linked in the video?
Fyes
Mokay will try thank you very much
SSo it captioned the image quickly?
Could there be something wrong with the model I have? I'm not sure where to start.
With the default models in your video I get same or better VRAM usage. So there is something specific happening to this one.
Could there be something wrong with the model I have? I'm not sure where to start.
With the default models in your video I get same or better VRAM usage. So there is something specific happening to this one.
