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 considering fine-tuning Stable Diffusion with 80k clothing images, featuring 5k unique products. I plan to assign a unique token for each apparel item. Is this approach suitable for training? I'm using the EveryDream2 trainer.
yeah planning to use multi gpus. I have unique ids for each product so planning to put some random alphabets that is not in the clip vocabulary. I have tried this with 500 products and I got decent results. my concern will the model remember all the tokens when I scale it to 5000