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WAN 2.2 AIO Rapid — All-in-One T2V + I2V (4–12GB VRAM / GGUF)

Updated: Apr 6, 2026

conceptwanaiolow-vramggufi2v

Type

Workflows

Stats

52

0

Reviews

Published

Apr 6, 2026

Base Model

Wan Video 14B i2v 720p

Hash

AutoV2
12B431CF3C

Here check out my toturial on running this if youre stuck:

📦 Download & Setup

1. Main Model (Standard VRAM: 6–12GB)

Download from:
https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne

File:

  • wan2.2-rapid-mega-aio-nsfw-v12.2.safetensors

Install:

ComfyUI/models/checkpoints/

2. Low VRAM Option (4GB)

If you're running 4GB VRAM, use GGUF instead:

Download from:
https://huggingface.co/befox/WAN2.2-14B-Rapid-AllInOne-GGUF

Notes:

  • Same model, quantized (GGUF) for low VRAM

  • Use with the low VRAM workflow

Install:

ComfyUI/models/diffusion_models/

3. Required Extra Files (ONLY FOR GGUF)

Download from:
https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged

You need:

  • Text Encoder (scaled)

  • WAN 2.1 vae


4. Custom Node (I2V / First–Last Frame)

Required for image-to-video + first/last frame

Download:
https://huggingface.co/The-frizzy1/Custom-Advanced-VACE-Node/tree/main

Install:

  1. Download ZIP

  2. Extract

  3. Place folder in:

ComfyUI/custom_nodes/
  1. Restart ComfyUI


⚠️ Notes

  • GGUF ≠ checkpoints → always goes in diffusion_models

  • Use GGUF only for low VRAM setups

  • If something breaks, you're likely missing the repackaged dependencies