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
Good morning! I have a question regarding training with Dreambooth. I used the same dataset of 180 pictures of myself and trained using sd_1.5 and Deliberate as the base, with the same parameters. However, for each case, I generated the class dataset (photo of man) with its corresponding model. The results are as follows: when using the model trained with SD1.5, my face doesn't come out very well. When using the model trained with Deliberate, my face still doesn't come out very well. However, when I do the following checkpoint merge, the result is really good: (Primary: Deliberate, Secondary: Custom_SD1.5, Tertiary: SD_1.5, Add Difference, M=0.5).
In other words, I add the difference between my model trained with SD_1.5 and the original 1.5 model to the model I want to use as a base (Deliberate), and this is much better than fine-tuning the Deliberate model with my dataset. Does anyone have any idea why this is happening?
D:\SD\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
By the way, for all my tests I followed your guide 'RunPod Fix For DreamBooth & xFormers - How To Use Automatic1111 Web UI Stable Diffusion on RunPod', however, when the model is being trained, an Out of Memory error occurs when generating the sample. I tried the A4500 (20GB) and the GTX 3090 (24 GB), but the error still persisted (even though the training only used 18.1 GB of VRAM with both cards). In order to train, I had to set the 'Save previews frequency' field to 0.
Any idea how to fix this error that occurs when using LDSR? : URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:997)>
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
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