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Wan2.2 Fun Inpaint Video (GGUF) 4 Steps

11

179

4

Updated: Sep 10, 2025

base model

Type

Workflows

Stats

179

0

Reviews

Published

Sep 10, 2025

Base Model

Wan Video 2.2 I2V-A14B

Hash

AutoV2
9DA1331878
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zardozai

🖌️ 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