Model Information

Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 1
Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 2
Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 3
Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 4
Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 5
Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram - Image 6

Description

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

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/city96/ComfyUI-GGUF

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

https://github.com/BlenderNeko/ComfyUI_TiledKSampler

only models

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

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.

Now to the results:

Generation for 53 frames at 480x848 plus an upscaller to 1080p at 25 steps took 5.32 hours

yes it takes forever and forever however it does not give you a oom error thats good enough for me.

Notes:

If you want to do just text use a hunyuan empty latent video I liked these custom nodes for that

I also like there sampler as you can use it aswell with custom gguf nodes.

Wan 2.1 Low vram Comfy UI Workflow (GGUF) 4gb Vram

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Model Details

Type
Generic Asset
Subtype
Workflows
Created
Updated
June 11, 2026

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