CivArchive
    WAN 2.2 AIO Rapid β€” All-in-One T2V + I2V (4–12GB VRAM / GGUF) - v1.0
    Preview 126584903

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

    πŸ“¦ 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 β‰  checkpoints β†’ always goes in diffusion_models

    • Use GGUF only for low VRAM setups

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

    Description

    Workflows
    Wan Video 14B i2v 720p

    Details

    Downloads
    33
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/6/2026
    Updated
    4/6/2026
    Deleted
    -

    Files

    wan22AIORapidAllInOneT2VI2V_v10.zip

    Mirrors