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

Published:
2025-08-27 18:00:57
Imported:
2026-06
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Downloads

  • Workflows.zip

Missing 2 full-res photos, 1 file.

Content

🚨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

Rule of thumb: pick the same quant for HighNoise + LowNoise. Start conservative (Q4/Q5) and step up if you’ve got headroom.

Download these add-ons

Text 2 Video Lroa (Lightning x2v, 4-step)

Image 2 Video Lora (Lightning x2v, 4-step)

VAE

Text Encoder (UMT5-XXL)

LoRa's used:

Golden by T2Video:

https://civitai.com/models/1671285/retro-90s-anime-golden-boy-style-lora-wan-22-14b

WAN2.2_Spatial Magic—空间魔法:

https://civitai.com/models/1867349/wan22spatial-magic

Files

Previews only

WAN Video 2.2 is here—This Uncensored Model is a game changer. 🚀

In this tutorial, I’ll show you how to unlock the full power of WAN’s latest upgrade: stunning higher-quality videos, smarter lighting and camera control, full LoRA support, and yes—it’s still 100% uncensored. You’ll learn how to: ✅ Generate videos from text prompts and images ✅ Supercharge your results with LoRAs ✅ Extend video length without breaking consistency ✅ Optimize performance for your GPU By the end, you’ll have everything set up in ComfyUI, ready to create cinematic, mind-blowing AI videos right from your local machine. Oh, and I’ve got bonus tips on frame interpolation and extending videos even further. 👉 Don’t forget to grab my ready-to-use workflows and VRAM guide on Patreon—everything neatly mapped out so you can focus on creating, not troubleshooting. This is the future of local AI video generation. Let’s dive in. 🎥✨ 📅 Book Your Personal 1-on-1 Session: 👉 Schedule Here: https://koalendar.com/e/1hr-1-on-1-stable-diffusion 🎁 Free Goodies & Essential Resources: • 🎯 Ultimate Beginner's Guide: https://www.patreon.com/posts/sneak-peek-alert-90799508 • 🛠️ Free Workflow Guide: https://www.patreon.com/posts/get-your-free-99183367 • 🎨 My Exclusive Style Collection: https://www.patreon.com/posts/my-collection-of-87325880 • 🚀 Support & Get Exclusive Content: 👉 Join Patreon Community: https://patreon.com/AIKnowledgeCentral 🎬 Popular Playlists: • 🤖 Invoke AI: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ • ⚡ Flux: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ • 🛠️ Forge: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ • 🎨 ComfyUI: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ • 🖥️ Automatic 1111: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ • 📌 AI Tools: Watch Here: https://www.youtube.com/watch?v=70HTvc-4gek&list=PL8HbYkSF5f9Ggts03f7ttPzFJyFiHgqoJ 🌎Civitai: https://civitai.com/user/AIknowlege2go 🔗 Resources Mentioned: ComfyUI https://www.comfy.org/ Chapters 00:00 Intro 00:35 Install 01:37 Text 2 Video 08:57 Image 2 Video 13:42 Bonus – Longer Videos

Comments

AI Knowledge Central
>>190679871

Wan 2.2 does not need a clip vision model. The model doesn't have an image cross attention layer. If you provide clip embeds via the clip vision model in the workflow, they are simply ignored as there's nothing to process them in the model.

Nick Klimek

I'm having a hard time. When I load your workflow, the 2 gguf loaders in the top left, when I click the play triangle button, it says undefined, now I know you said that means they aren't in the correct folder, but I downloaded both the high and low, example "Wan2.2-T2V-A14B-LowNoise-Q5_K_M.gguf" and placed them both in the diffusion models folder. I have an nvidia 4070 graphics card, if that makes a difference. Thanks for all you do! Also, do any GGUF files go in to the folder "unet"? On the github, I believe it instructs me to put them in the 'unet' folder, but in your video it seems he doesn't talk about any files that should be in "unet'. You say to put them in "diffusion models" right?

Shelby Black

How do I keep the videos from getting darker as we extend them?

AI Knowledge Central
>>195413663

There is LongCat in ComfyUI for Videos that should be able to do even longer videos. I haven't tested it yet. So I can't say if its good or not.