Simple Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram + 16gb ram

-This uses the new Teacache and Sage attn Patch from Kijay I am gettig about 40-50% speed increase for my renders.

Inatallation Guide Video: Please show some love :)

Results:

https://civitai.com/articles/14445/laptop-video-generation-results-wan21-4gb-vram

-Controller Coming soon

This is a workflow i made in comfy ui it can run

1. Wan2.1 T2V

2. Wan2.1 I2V

On just a RTX3050 Laptop edition 4gb Vram + 16gb ram

I am a beginner but here is what I did:

Used the GGUF custom nodes and models

Nodes: (or use comfyui manager to install custom nodes)

https://github.com/calcuis/gguf

https://github.com/kijai/ComfyUI-WanVideoWrapper

https://github.com/FlyingFireCo/tiled_ksampler

https://github.com/kijai/ComfyUI-KJNodes

https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

https://github.com/rgthree/rgthree-comfy

Only for controller or Stack Lora Loader

only models

Models:https://huggingface.co/calcuis/wan-gguf

I recommend using the Q_5_K_M versions its fast but stil accurate from my testing.

I am still getting usuable results with Q_2_K

The new 1,3b models for text to video are great and fast!

install the vae,clip,clip vision,Text encoder from here

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files

You should also use tools like Xformer,sageatten,triton or settings to speed it up a bit.

Specs:

It uses Tiled Ksampler tiled vae decoder everything tiled and about 480p quality but then using an upscaller i can get a pretty good result.