CivArchive
    Wan2.2 Fun Inpaint Video (GGUF) 4 Steps - v1.0

    🖌️ Wan2.2 14B Fun Inpaint Video - GGUF Workflow for Video Editing

    Seamlessly edit and transform videos with AI-powered inpainting using the efficient Wan2.2 GGUF models!

    ✨ Key Features:

    Video Inpainting: Edit specific areas while preserving context

    Start/End Frame Control: Define exact transformation points

    GGUF Memory Efficiency: Q8_0 quantization for lower VRAM usage

    Dual-Model System: High/Low noise for professional results

    4-Step LoRA Speed: LightX2V distilled LoRAs for rapid generation

    Flexible Resolution: 480x480 default, easily adjustable

    🔧 Technical Specs:

    • Model: Wan2.2-Fun-A14B-InP (High/Low Noise variants)

    • Quantization: Q8_0 GGUF format

    • LoRA: LightX2V 4-step distilled (High: 5.6, Low: 2.0 strength)

    • Frames: 81 frames at 16fps

    • Sampling: 6 steps total (4 high + 2 low noise)

    💡 Perfect For:

    • Object replacement in videos

    • Background changes

    • Character transformations

    • Seamless video editing

    • Creative video modifications

    📋 What You Need:

    • Start image (what to change from)

    • End image (what to change to)

    • Wan2.2 GGUF models

    • ComfyUI setup

    Experience the future of video editing with AI precision and creative control!

    #Wan22 #VideoInpainting #GGUF #ComfyUI #VideoEditing #AI

    Description

    Workflows
    Wan Video 2.2 I2V-A14B

    Details

    Downloads
    179
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/10/2025
    Updated
    9/28/2025
    Deleted
    -

    Files

    wan22FunInpaintVideo_v10.zip

    Mirrors

    CivitAI (1 mirrors)