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
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Get more from SECourses: Tutorials, Guides, Resources, Training, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözükara on Patreon
actually there is a transparent concept in Forge with layer diffusion, but it is a layer calculation by generation, working great but impossible to import that kind of technique in a lora (for now)
Hi all, a total noob to training here and just have experience with Automatic1111 on RunPod. Any advice on the best training option for realistic people using RunPod? Dreambooth, Kohya, OneTrainer etc?
@Furkan Gözükara SECourses after running OneTrainer for ~6 hours, I was finally excited to see the results of my DreamBooth training. But when I try to load the model in A1111 WebUI, I'm getting this error:
changing setting sd_model_checkpoint to elwq_v0_1.safetensors [a5db6c23b6]: NotImplementedErrorTraceback (most recent call last): ... File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply module._apply(fn) [Previous line repeated 3 more times] File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 833, in _apply param_applied = fn(param) File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1158, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)NotImplementedError: Cannot copy out of meta tensor; no data!
changing setting sd_model_checkpoint to elwq_v0_1.safetensors [a5db6c23b6]: NotImplementedErrorTraceback (most recent call last): ... File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply module._apply(fn) [Previous line repeated 3 more times] File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 833, in _apply param_applied = fn(param) File "C:\sd\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1158, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)NotImplementedError: Cannot copy out of meta tensor; no data!
I've trained using the slow preset, 100 epochs. Only change I've made (apart from folder locations) is to enable xformers. What am I doing wrong?