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
File "D:\kohya_ss\sd-scripts\flux_train_network.py", line 514, in <module> trainer.train(args) File "D:\kohya_ss\sd-scripts\train_network.py", line 441, in train self.post_process_network(args, accelerator, network, text_encoders, unet) File "D:\kohya_ss\sd-scripts\flux_train_network.py", line 168, in post_process_network raise ValueError( ValueError: T5XXL is trained, so cache_text_encoder_outputs cannot be used / T5XXL学習時はcache_text_encoder_outputsは使用できません
INFO [Dataset 0] train_util.py:2326 INFO caching latents with caching strategy. train_util.py:984 INFO checking cache validity... train_util.py:994 100%|██████████████████████████████████████████████████████████████████████████████████████████| 14/14 [00:00<?, ?it/s] INFO caching latents... train_util.py:1038 0%| | 0/14 [00:00<?, ?it/s]18:14:23-407701 INFO Training has ended.
Guys I installed SwarmUI today to try and test Flux Lora, but the Unet folder was not in my models folder. I added it and ran the model download script. But I only see one model. Also when generating with the Lora I get an error
Hi @Dr. Furkan Gözükara , After i generated lora of product images with flux, its gving amazing results. Thanks a lot for great explainer video, this is promising to solve my long term problems on realistic product images,
How can i Dictate swarm not to change the size and color of trained product image while generating the final images.?
@Dr. Furkan Gözükara Using the Rank5 and the latest Torch 2.5, I'm trying to train, it gets here and then just seems to not be doing the training. Also even though it says it uses less memory, my GPU is still using 23.37g out of 24.