Wan 2.2 Long Video Tutorial | Multipart Workflow + GGUF for Low VRAM
🌟 Wan 2.2 Long Video Workflow Explained! 🌟
In this video, I demonstrate a complete Wan 2.2 workflow for creating long, consistent videos, including support for GGUF models on low-VRAM systems.
Instead of generating one long clip, I break the video into multiple 5-second segments and reuse selected frames from the previous clip to maintain character, lighting, and environment consistency in the next generation.
Using this method, I successfully created a 40-second continuous video with stable motion and identity — even on low-VRAM GPUs.
🔧 What This Tutorial Covers:
Wan 2.2 multipart long video workflow
Generating videos in 5-second segments
Frame reuse technique for visual consistency
Using GGUF models for low-VRAM systems
💻 Hardware Used:
i5 14400F, 64GB RAM, RTX 4060 TI 16GB
#Wan22 #AIVideo #comfyui #ImageToVideo
🚀 Resources & links mentioned in this video:
Workflow:
https://drive.google.com/drive/folder...
Images and prompts are shared in the Discord, say connected in discord group.
/ discord
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