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
OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 4.00 GiB total capacity; 3.33 GiB already allocated; 0 bytes free; 3.40 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
Our Discord : https://discord.gg/HbqgGaZVmr. How to use custom, different, .safetensors and SD 2.1 on Automatic1111 Web UI. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on https://www.patreon.com/SECourses
Playlist of Stable Diffusion Tutorials, Automatic1111 and Go...
Our Discord : https://discord.gg/HbqgGaZVmr. In this video, You will learn how to use new amazing Stable Diffusion technology #ControlNet in Automatic1111 Web UI. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on https://www.patreon.com/SECourses
Hello all, Disclaimer - This is not related to SD directly - lemme know if this is out of place, ty
I thought maybee the community here could enlighten me on a more efficient/effective alternative since the logic that seems to prevail here appears sound and down to tact's.
I use NVcleaninstall to get the latest updates on my GPU, I was wondering if any1 knows of an open source driver update utility app to get all of my hardware up to date, that works similarly to NVcleaninstall (it gets down to strictly downloading the necessary driver without all the adds and bloating features and whatnot).
Hello, I've been trying out training, and struggled for hours with the VRAM/RAM capacity. I finally found a balance but now i'm presented with this, and i have no idea what to do. I've tried watching video guides but nothing seems to give me an answer, please help: " File "C:\ai\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 506, in train_embedding scaler.step(optimizer) File "C:\ai\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\amp\grad_scaler.py", line 339, in step assert len(optimizer_state["found_inf_per_device"]) > 0, "No inf checks were recorded for this optimizer." AssertionError: No inf checks were recorded for this optimizer. "
Hello, I am trying to train a model with a face using the SD webui + Dreambooth. I have followed the recommendations in your video (8Gb LORA Training -Fix Cuda...) and installed Cuda 11.6 , torch 1.13 and xformers 0.0.14 dev
I have also used all the recommended settings
when I run the training , the samples generated are empty black rectangles. what could I be doing wrong? I get no errors