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
so inpainting is the only way? how does it work in base flux compared to lora? because in base flux you can specify 2 embedded base celebrities, ie. john wick and taylor swift playing in a concert together.
thank you i understand. So for now, there is no way for me to train me and my friends and create pictures together, even with unique words in a checkpoint? could i train them all at once into a new checkpoint or would it bleed? ie. 1_k3v man, 1_fr1endone, 1_fr1endtwo (ie each friend is a concept)?
Thank you for all of your help and community contribution, I'm at a university in Canada, and we're looking at upgrading our old Tesla T4 servers in our engineering dept, so we can do more AI research. we're a bit behind.
The image is a high-resolution photograph featuring a woman with a stern expression, likely in her mid-30s, standing in a dimly lit, industrial setting. She has shoulder-length, straight blonde hair with a slight wave, and her skin has a light, natural complexion with a touch of blush on her cheeks. Her eyebrows are arched, and her lips are slightly pursed, conveying a look of determination or frustration. She is wearing a bright blue zip-up jacket, which is unzipped to reveal a hint of a purple top underneath. The jacket appears to be made of a smooth, synthetic material with a slightly shiny texture.
@Furkan Gözükara SECourses have you tested the 6GB and 8GB configs for DreamBooth Flux training? For some reason i can't get it working on my 2080 super 8GB ram. I've tried both 6 and 8GB. Both crash as it starts the first step. Either out of memory or another error. I have no trouble on 3090. Also on the same PC with 2080 super, i can run fluxgym with same settings and it works.. But its not using DB method. "RuntimeError: CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with
@Furkan Gözükara SECourses I'm on that page atm. I ask because the hours are much longer then expected. To confirm the 48gb config should be 40 repeats and 200 epochs? (48GB_GPU_28200MB_6.4_second_it_Tier_1)