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
I'm not affiliated in any way, shape or form with Vast.ai, but they have great and friendly support (Massed has this, RunPod doesn't) and there's this Arizona datacenter that has a bunch of fine machines running for very little money. Good Internet speed, as well…
Hello @Furkan Gözükara SECourses, I just signed up for your patreon and downloaded these configs in the Best_Configs_v3.zip, a few questions 1) Are these configs for flux dreambooth? 2) What do the naming conventions mean for the different parts of the file name? 3) Which quality is better between 1 and 2? 4) Have you done a tutorial on Flux Dreambooth yet? 5) I guess it says to message you for a Patreon role. Thank you!
for Flux lora, when captioning a dataset, should I mention their defined characteristics? so if the subject is famously tall/pale skinned/muscular/whatever should those traits be mentioned or purposefully left out?
My impression when training for a specific person (ohwx, class woman) is that your top config has super-low effective learning rate. I generated samples with the same prompt and seed, and I can barely distinguish them between step 1000 and step 11,000. Is that something you noticed too? Should I not have kept the seed fixed?
i tried your script with multi-gpu and got an error "use_libuv was requested but PyTorch was build without libuv support" are you familiar with this or how to correct it?