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
Positive prompts have a token limit, after which the accuracy decreases. Is there such a limitation for negative prompts?
When typing a certain "critical mass" at which the accuracy of the request decreases, are positive and negative tokens considered together, or separately?
@Furkan Gözükara SECourses I followed your tutorial to install ControlNet (https://www.youtube.com/watch?v=YJebdQ30UZQ). When I get to the step where I run python gradio_scribble2image.py for the first time, an error message is returned:
RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 4.00 GiB total capacity; 3.19 GiB already allocated; 1.40 MiB free; 3.25 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Do you know what I'm supposed to do to fix this error ? thks a lot !
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hey @Furkan Gözükara SECourses I'm trying to use your regularization images for kohya, but everytime i do, it says 0 reg images during training, although it says 640 train images with repeating
I just realised, that I installed Kohya_ss choosing Torch 2.0, and you mentioned in the video that CuDNN is not necessary with Torch 2.0. So that installing it is not necessary. So case closed. Good thing I watch your LoRA video to catch that detail. Thanks again