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Wan 2.1 Ultra Advanced Gradio APP for - Works as low as 4GB VRAM - 1-Click Installers for Windows, RunPod, Massed Compute - Batch Processing - T2V - I2V - V2V (Patreon)

Published:
2025-02-26 00:59:29
Edited:
2025-02-27 22:38:37
Imported:
2026-06

Content

Installer and APP : https://www.patreon.com/posts/123105403

Full step by step tutorial published : https://youtu.be/hnAhveNy-8s

Download from here : https://www.patreon.com/posts/123105403

I have been working 14 hours today to make this APP before sleeping for you guys :)

We have all the features of Wan 2.1 model

Text to Video 1.3B (as low as 3.5 GB VRAM) - Really fast - 480x832px or 832x480px

Video to Video 1.3B (as low as 3.5 GB VRAM) - Really fast - 480x832px or 832x480px

Text to Video 14B (as low as 17 GB VRAM) - still may work at below VRAM but slower - 720x1280px or 1280x720px

Image to Video 14B (as low as 17 GB VRAM) - still may work at below VRAM but slower - 720x1280px or 1280x720px

When you analyze the above and below images

First video is animated from the input image with following prompt

A hooded wraith stands motionless in a torrential downpour, lightning cracking across the stormy sky behind it. Its face is an impenetrable void of darkness beneath the tattered hood. Rain cascades down its ragged, flowing cloak, which appears to disintegrate into wisps of shadow at the edges. The mysterious figure holds an enormous sword of pure energy, crackling with electric blue lightning that pulses and flows through the blade like liquid electricity. The weapon drags slightly on the wet ground, sending ripples of power across the puddles forming at the figure's feet. Three glowing blue gems embedded in its chest pulse in rhythm with the storm's lightning strikes, each flash illuminating the decaying, ancient fabric of its attire. The rain intensifies around the figure, droplets seemingly slowing as they near the dark entity, while forks of lightning repeatedly illuminate its imposing silhouette. The atmosphere grows heavier with each passing moment as the wraith slowly raises its crackling blade, the blue energy intensifying and casting eerie shadows across the ruined landscape.

The cat video is purely 1.3B model generation via below prompt

A cute cat walking gracefully on a lush green grass field, its tail swaying gently as it moves. Close-up, moving camera following the cat's steps.

 

 

 

Files

Comments

Arcadius

Thanks mate, your a legend!

BecauseReasons

Traceback (most recent call last): File "C:\Users\xxxx\Deep\WAN\Wan2.1\App.py", line 13, in import wan File "C:\Users\xxxx\Deep\WAN\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "C:\Users\xxxx\Deep\WAN\Wan2.1\wan\modules\__init__.py", line 3, in from .t5 import T5Decoder, T5Encoder, T5EncoderModel, T5Model File "C:\Users\xxxx\Deep\WAN\Wan2.1\wan\modules\t5.py", line 472, in class T5EncoderModel: File "C:\Users\xxxx\Deep\WAN\Wan2.1\wan\modules\t5.py", line 478, in T5EncoderModel device=torch.cuda.current_device(), File "C:\Users\xxxx\Deep\WAN\Wan2.1\venv\lib\site-packages\torch\cuda\__init__.py", line 940, in current_device _lazy_init() File "C:\Users\xxxx\Deep\WAN\Wan2.1\venv\lib\site-packages\torch\cuda\__init__.py", line 319, in _lazy_init torch._C._cuda_init() RuntimeError: No CUDA GPUs are available My Cuda is installed and found. Torch installed properly... Not sure why the error.

Han Vu

How well does this work on the RTX 5090? Is there a higher resolution model that takes advantage of the 32gb of vram?

LO!

Also curious if this is 5090 ready. Does this require the hotly awaited Torch update?

hacbachvotinh

Great job, you are a hero to the community.

hacbachvotinh

set REM at this line like this: REM SET CUDA_VISIBLE_DEVICES=0 - this is used to set certain CUDA device visible only used

Draxel

This model is good. Certainly not fast though.

cool1

On the "text to video" option pressing the cancel button doesn't seem to have an effect other than showing "cancel button pressed", it continues increasing the percentage and and step count after it shows "cancel button pressed."

cool1

Okay thanks. I thought that since it was updating other things (like step count) it might have been able to but if not that's okay. It's just that the full res 14B one was saying was going to take hours to complete just a few seconds clip on my 3090 (maybe for about a 10 sec clip though I'm not sure). Which is much longer than Cosmos at about the same resolution. Though he 1.3 B one is a lot faster but lower res.

Adam Lucas

As much as I appreciate your work ethic. Please don't overdo it. Would hate to see you get burned out. :)

mastermk

Hi. Sometimes after a generation it gives me this error: ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\python310\lib\asyncio\proactor_events.py", line 162, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] Connessione in corso interrotta forzatamente dall'host remoto ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\python310\lib\asyncio\proactor_events.py", line 162, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] Connessione in corso interrotta forzatamente dall'host remoto