Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
@Dr. Furkan Gözükara which model is better for fine tuning with only 130 pics of a single person adn the dataset doesn't have much variations . Is SDXL+Dreambooth a good combo or FluxDev+Drreambooth a good combo.I want the best realistic photos
@Dr. Furkan Gözükara I mean can the fine tuning give good output,I want only single output I want retouched images only after outpit so if the output is not accurate sometimes,I can just use SUPR to upscale
im watching a video for sdxl lora training rn where my boy says everything is for free, but the SDXL configs are behind a pay wall. can i find them here? https://www.youtube.com/watch?v=0t5l6CP9eBg
In this tutorial, I am going to show you how to install OneTrainer from scratch on your computer and do a Stable Diffusion SDXL (Full Fine-Tuning 10.3 GB VRAM) and SD 1.5 (Full Fine-Tuning 7GB VRAM) based models training on your computer and also do the same training on a very cheap cloud machine from MassedCompute if you don't have such compute...
I’m also curious about number of images. I have 59 in my dataset. I noticed in the video you did 15 images x 200 epochs = 3000 steps.
I went ahead and did 59 x 100 epochs = 5900 steps and will look extra carefully at the models around epoch 5, I kinda just wanted the slack of the other epochs in case it’s under trained by then. thoughts on this? how many epochs would you go with? seems like with my hardware I’ll hit epoch 100/100 in 4-5 hrs