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The_frizzy1/WAN2.2 14B GGUF (I2V,T2V) Low-Vram Workflow

Name: WAN2.2 14B GGUF (I2V,T2V) Low-Vram Workflow
Author: The_frizzy1

Coming Soon Infinite talk MMaudio Lastframefirstframe Ultimate Version Supported Workflows Wan2.2 T2V (Text‑to‑Video) 14B Wan2.2 I2V (Image‑to‑Video) 14B Wan2.2 TI2V‑5B (Hybrid Text/Image‑to‑Video) (old version) Nodes Used (Install via ComfyUI Manager or links below) 🔗 WanVideoWrapper 🔗 KJNodes Model Downloads + VAE *these are conversions from the original models to run on less VRAM. 🔗 WAN2.2 14B T2V 🔗 WAN2.2 14B I2V All these GGUF conversions are done at the moment by: https://huggingface.co/city96 https://huggingface.co/bullerwins https://huggingface.co/QuantStack *If you cant find the m

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Author / organization	The_frizzy1
Downloads	4.4K (as reported by Civitai)
Likes	73
Task	text-to-image
Created	9 April 2026
Last updated at source	—

text-to-imageworkflowswan video 2.2 i2v-a14brtx3050lowvrambeginnerggufwanlaptopcomfyuiconceptwan2.2loraworkflow4gbvramt2vimg2vidtext2videoi2vbeginnerfriendlywan2.1

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