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

Updated: Sep 10, 2025

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video_wan2_2_14B_flf2v_gguf.zip

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Published

Sep 10, 2025

Base Model

Wan Video 2.2 I2V-A14B

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AutoV2
8BF11F58FD
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242

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License:

Apache 2.0

🎬 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