CivArchive
    Wan2.2 First-Last Frame to Video (GGUF) 4 Steps - v1.0

    🎬 Wan2.2 14B First-Last Frame to Video - GGUF Optimized Workflow

    Transform your images into stunning videos using the powerful Wan2.2 14B model with efficient GGUF quantization! This workflow specializes in creating smooth transitions between start and end frames.

    ✨ Key Features:

    • Memory Efficient: Uses GGUF Q8_0 quantized models for optimal VRAM usage

    • Dual-Stage Processing: High noise + Low noise models for superior quality

    • 4-Step LoRA Integration: Lightning-fast generation with LightX2V LoRAs

    • Flexible Resolution: Default 480x480, easily customizable

    • Frame Control: 81 frames at 16fps for smooth motion

    🔧 Technical Specs:

    • Model: Wan2.2-I2V-A14B (High/Low Noise variants)

    • Quantization: Q8_0 GGUF format

    • LoRA: 4-step distilled for speed

    • Sampler: Euler with simple scheduler

    • CFG: Optimized for video generation

    📋 Requirements:

    • ComfyUI with GGUF support

    • Models from QuantStack collection

    • LoRAs from Kijai/WanVideo_comfy

    Perfect for creating cinematic transitions, morphing effects, and smooth video interpolations!

    #Wan22 #GGUF #ComfyUI #VideoGeneration #AI

    Description

    Workflows
    Wan Video 2.2 I2V-A14B

    Details

    Downloads
    144
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/10/2025
    Updated
    9/28/2025
    Deleted
    -

    Files

    wan22FirstLastFrameTo_v10.zip

    Mirrors