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
Does anyone know the best way to train the model to merge two persons? I have datasets of two different persons and want to create a unique mix. What would be the best way?
"I'm training on 4090D with 500 images. The speed is 4.4s/it (using Rank_3_18950MB_9_05_Second_IT). When I'm training on A800 (80 GB VRAM), the speed is 3.3s/it (using Rank_1_29500MB_8_85_Second_IT). I think the speed difference is abnormal. What could be causing this?"
For training styles, how important is it to have the training images in 1024x. It's a bit more difficult to get those in uniform resolution vs training a subject.
I know you've provided scripts/tools to id faces and crop etc, is there something similar that will just expand the canvas of an image to make it square?
Shouldn't larger VRAM bring more speed? The A800 (using Rank 1) has more than 3 times the VRAM of the 4090D, but the speed is barely increased. Why is this? Is it because I haven't adjusted the batch_size?