which tutorial you following?
which tutorial you following?
Fsadly i dont know
Fjust published a great article
FReddit
Explore this post and more from the StableDiffusion community
RBut it doesn't work when I change the image folder
F@Julián MANGOincode.com they are not ai
Fonly face slightly changed
Falso not approritate for our channel
Fi dont have tutorial for that
Fif you dont have a gpu and cant pay runpod
Fwe have free kaggle sdxl
FYouTubeSECourses
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...RI will try this one.
SThank you so much for the clarification 
JHas anyone been able to generate images of people where there are texts that are not in disordered letters?
JIf yes, may you show me?
J
Fyou can try inpaint with controlnet
JI tried, it doesn’t works, I need someone who made it work perfectly
JIt puts the logo on the whole image, not on the girl tshirt
J
JNot sure how tell to stable diffusion to put the logo on the tshirt
BThank you Furkan
Fyou can check out these 2 videos
Fthey can give you idea
FYouTubeSECourses
Discord : https://bit.ly/SECoursesDiscord. How to use #ControlNet to generate cinematic text arts and logos 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 #StableDiffusion Tutorials, #Automatic1111 and Google ...
https://www.patreon.com/SECoursesPlaylist of #StableDiffusion Tutorials, #Automatic1111 and Google ...
FYouTubeSECourses
I show how to install Automatic1111 Web UI & ControlNet extension installation from scratch in this video. Moreover I show how to make amazing QR codes and inpainting and out painting of ControlNet which are very similar to Photoshop generative fill and Midjourney zoom out. Furthermore, I explain and show what are Canny, Depth, Normal, OpenPose...
Fif you guys give a hand (thumbs up) i would appreicate : https://www.reddit.com/r/StableDiffusion/comments/18qu332/ground_truth_regularization_images_effect_during/
Reddit
Explore this post and more from the StableDiffusion community
Fmy biggest training
F28 hours on rtx 4090
F
DActually, my concern is, that my GPU and CPU is more capable of what it's currently using while training, and the training should take more load from the resources I have...but it's not taking enough load from the GPU. That's what I'm assuming, cause, when it takes full power, it should work faster for training, and cpu/gpu temperature, go higher than 65-70. But at this point it only at 40-45 (40 CPU & 45 GPU). which indicates the fact that it can take more load, but for some settings, it's not taking the load it can eventually be capable of taking. I'm attaching the settings I'm currently using. Can I increase or decrease any parameter, to train faster and let the settings take more of my computing power so that I can train faster??
This is the settings/parameters I'm using currently while training a object/product.
40 is CPU and 43 is GPU temperature when I run the training.
This is the settings/parameters I'm using currently while training a object/product.
40 is CPU and 43 is GPU temperature when I run the training.
DAdditional info, this is how much time it is showing after i run the training, just using 39 images, nothing more. Isn't it should be faster, with a 4080 GPU (16gb) and intel core i9 cpu??
RDoes anyone used this one with sdxl?
https://github.com/huggingface/diffusers/blob/main/examples/community/regional_prompting_stable_diffusion.py
https://github.com/huggingface/diffusers/blob/main/examples/community/regional_prompting_stable_diffusion.py
GitHub
Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - huggingface/diffusers
Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - huggingface/diffusers
Mjust curious if anyone prefers training loras on comfyUI (https://github.com/johnman3032/simple-lora-dreambooth-trainer/) or is kohya still the better choice / whats the difference?
GitHub
A collection of simple training GUIs for SD1.5 and SDXL. - GitHub - johnman3032/simple-lora-dreambooth-trainer: A collection of simple training GUIs for SD1.5 and SDXL.
MHi guys good morning! I was just trying to train a girl on kaggle (with koyha ss), and was wondering how many steps were needed for 30 photos. What is the perfect number for you?
MPS: keep in mind that on Koyha there are 2 GPUs
Fye the trainer of sdxl or sd is not fully optimized
Fyou have shared vram problem
Fit is using shared vram thus many times slower like 10x 20x more
Fi know but didnt try yet
Fi would use kohya. even kohya fixing bugs at today
Fit takes huge time for such program to mature
Fi usually go with 4000 5000 steps and take checkpoint
Fwhen reg images are also used
Fso you should 2000-2500
Fsince batch size will be 2x
MOk, done. Thank you!
D30 images with 100 repeats and regularisation images repeat 1. Max steps 6000 then how much save_every_n_steps="" is good for best quality checkpoints
DIs there any solution to this!! i got it, that it's running slower.
