WAN 2.2 On Any GPU (4–32 GB): Exactly What To Download + Where It Goes

DESCRIPTION

🚨UPDATE 29 OCT 2025🚨 - The latest update of ComfyUI broke the cg-Everywhere nodes I am using in most of my newer workflows. I have got your back: https://www.patreon.com/posts/emergency-wan-2-142314304

Hey friends! 💛
I’ve put together a dead-simple guide so you can get Wan 2.2 (A14B, GGUF) running without guesswork. You’ll need two models (HighNoise + LowNoise), a Text Interpreter (UMT5-XXL), and a VAE. Grab everything here:

💻Software:
ComfyUI | Generate video, images, 3D, audio with AI

🏎️ Sage Attention Install Guide:
https://youtu.be/q4jhieMwNkU
Sage Attention One Click installer for my Patrons:🎁
https://www.patreon.com/posts/edit-31-08-2025-135625892

👉 Repo:

Text 2 Video
https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main

Image 2 Video

https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main

What to download (match to your GPU VRAM)

4 GB: 14B isn’t realistic. Use the 5B variant instead.

https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/tree/main

8 GB: Q3_K_S or Q3_K_M for both HighNoise + LowNoise. Keep the Text Interpreter on CPU.
12 GB: Q4_K_S (or Q4_1) for both. Text Interpreter Q5_K_M (CPU or GPU if you’ve got room). VAE can be the smaller one if you’re tight.
16 GB: Q5_K_S (or Q5_0 / Q5_1) for both. Text Interpreter Q5_K_M on GPU, Wan 2.2 VAE recommended.
24 GB: Q6_K for both. Interpreter on GPU, Wan 2.2 VAE.
32 GB: Q8_0 for both. Interpreter on GPU, Wan 2.2 VAE Or go for the Fp8 version from Kjai