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
Hi @Dr. Furkan Gözükara, I noticed in the WAN 2.1 14B Image-to-Video 720P specifications - it shows "Number of Persistent Parameters In Dit (VRAM)" as 0 for 24GB cards. Is this correct, or possibly an error? I'm asking because I'm observing my VRAM being fully utilized despite the parameter count showing as 0.
I've scanned this thread but I am getting an error when running V23 of the model downloader:
Enter your choices (comma or dash separated, e.g., 1,3,5 or 1-3-5): 4 Created or verified directory: SwarmUI\Models Created or verified directory: SwarmUI\Models\vae Created or verified directory: SwarmUI\Models\diffusion_models Created or verified directory: SwarmUI\Models\Stable-Diffusion Created or verified directory: SwarmUI\Models\clip Created or verified directory: SwarmUI\Models\yolov8 Created or verified directory: SwarmUI\Models\style_models Created or verified directory: SwarmUI\Models\Lora Created or verified directory: SwarmUI\Models\upscale_models Traceback (most recent call last): File "C:\Projects\SwarmUI\Download_Models.py", line 328, in <module> download_models(selected_options) File "C:\Projects\SwarmUI\Download_Models.py", line 66, in download_models snapshot_download( File "C:\Users\john\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils_deprecation.py", line 101, in inner_f return f(args, **kwargs) File "C:\Users\john\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils_validators.py", line 124, in _inner_fn return fn(args, **kwargs) TypeError: snapshot_download() got an unexpected keyword argument 'local_dir'
@Dr. Furkan Gözükara can you help me in figuring out the right data set for the person lora to get full body features right like you have done with your 250 images i want to know about the data set and the prompts you set for it in flux
I am manually installing Flux Schnell, and I've tried to watch as many of the videos and read the patreon posts to sed if anything you've covered would run on my hardware or not. I know some of the video models say "less than X VRAM" but are there any that could actually run on 8GB VRAM?
@Dr. Furkan Gözükara Have you done any Flux Lora tests on multi GPU ie 2 A100? I am looking to find a good number of steps and learning rate. It's limited to only 10 images. no more or less for training.
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It's not so much about the speed as the increasing the quality. I and reduce overfitting. If you were limited to only 10 images to train a loRA. What would you set the learning rate and number of steps?
right now we are at 4-e5 and 1600 steps. But this is on one a40 GPU.