you can save video as 8fps and 4x interpolate and get 10 second 32 fps 😄
you can save video as 8fps and 4x interpolate and get 10 second 32 fps 
Fhaha testing now
Mthat sounds so good. i think you have done quite good research on image generation, its time for videos now...and thanks for sharing all this research.
Fyou are welcome
F10 seconds 30 fps
FF
Xhey @Dr. Furkan Gözükara im trying to open up swarmui after a few months of not opening it and im getting this error any idea how i can fix it
SSorry if obvious, is the WAN V12 app compatible with 5090 / Blackwell?
ZAre we going to be able to use other wan models outside of what is in the download file?
Hwith the supir one click installer how come for batch processing, it ran out 3 images, now its eating up gpu/cpu because of llava and wont process the rest of them, 3 worked fine for some reason really quickly now its dragging.
Fyes it is compatiable
Fsorry that i hadnt pushed update now pushed
Fyep
Fi dont know
Fi plan to add lora support
Zi just see merged wan models on civitai, so just curious if we would be able to use those
EIs multi resolution training adviseable in Kohya? I see there's an "enable_buckets" setting - does it improve quality?
KHi @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 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.
PI'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'
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'
PI resolved my issue. I opened the python file and manually ran the pip installs at the top and it seems to be downloading
Fguys i got a baby boy today so i may reply later today hopefully
Fyes hopefully i will add lora asap
Fyes it uses more therefore 0
Fand still uses your entire vram
Fyou can try fp8
Fyes i was gonna tell this
Flibrary version issue
Fi am glad you solved
PCongratulations!
Fthanks
Fi got to be afk again
B@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
Bcongratulations
PI have an older RTX 2070 super, 8GB VRAM
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?
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?
J@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.
A
Ainstalling swarm from patreon, is this normal dr?
TAvast :kek:
People still use it in this decade?
People still use it in this decade?
Tlast time I heard of it was like, 2006
Fthanks
Fyes
Fright dataset is having a lot of mix of shots
Ffull body shot
Fclose shot
Fhalf body shot
Fdifferent clothing and backgrounds help too
Fwell i did test for a client for 5 min training
Fif you want faster you need to increase batch size + learning rate