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
sorry for this question was tired from attempts Now done x2 upscale photos, much better results, thank you! Try today 20-80 epochs, decided add 40 epochss to compare. Very good results
First, LOVE YOU ! Second, I have been refreshing Massed Compute for GPU for another training besides 5090 training that now I am going to use. So many people using A6000 at the moment!
@Furkan Gözükara SECourses U know, I am not really that knowledgeable in this area like most of you here. I normally just use the EXACT config and steps you showed in your YouTube.
1 thing about how good your tutorials are is that they are so clear that it is dumb-proof. To be honest, I got zero clue what is going on with all the names in the SWAMUI and Koyha. U have made it very clear.
@Furkan Gözükara SECourses Please kindly or u tell me which parameter I need to change, it turns out to be 440,000 steps for me to use 48GB config. (I guess something wrong with the parameter) Thanks
I'm facing a challenge with DreamBooth training and sourcing high-quality images for training. While web scraping tools are a potential solution, they often retrieve compressed or resized images, which reduces the quality needed for optimal training results.
Does anyone have suggestions or alternative to obtain large amounts of high-resolution images without compression?
Thanks, Dr. Furkan! I appreciate the suggestion. The web scraper I’m currently developing is designed to handle this task manually, but before I dive into a long weekend of coding, I’d like to explore whether there’s an API for Pexels or if anyone has alternative suggestions. Since this is my first time developing an app, I’m open to insights that could help streamline the process. Let me know if you have any recommendations!
Hi guys I have been having some issues with the fine tuning of flux.
I have been trying to fine tune a car with 39 images and I am having poor results with the configuration 48GB_GPU_28200MB_6.3_second_it_Tier_1.json and with 145 epochs.
The car looks good but not that good and also the main problem I have been having is that whenever i just divert the prompt from "a picture of a sks car" then the model just reproduces a random car.
Also in the training data i don't have any prompt for my 39 images. Do you think the problem might stand there?
Hi all, I'm following the youtube video to train Lora using kohya ss in kaggle. I'm getting this error when run code the launch gui. ERROR: Exception in ASGI application. Is anyone able to find a fix to this issue? Please let me know if I'm asking in the wrong channel.