Categories: Image

All in one WAN 2.2 model merges: 4-steps, 1 CFG, 1 model speeeeed (both T2V and I2V)

I made up some WAN 2.2 merges with the following goals:

  • WAN 2.2 features (including “high” and “low” models)
  • 1 model
  • Simplicity by including VAE and CLIP
  • Accelerators to allow 4-step, 1 CFG sampling
  • WAN 2.1 lora compatibility

… and I think I got something working kinda nicely.

Basically, the models include the “high” and “low” WAN 2.2 models for the first and middle blocks, then WAN 2.1 output blocks. I layer in Lightx2v and PUSA loras for distillation/speed, which allows for 1 CFG @ 4 steps.

Highly recommend sa_solver and beta scheduler. You can use the native “load checkpoint” node.

If you’ve got the hardware, I’m sure you are better off running both big models, but for speed and simplicity… this is at least what I was looking for!

submitted by /u/phr00t_
[link] [comments]

AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
Tags: ai images

Recent Posts

Viggle Remake is a beast

https://huggingface.co/Viggle/Viggle-Remake For this video I used their included MCP. However, it's currently set up to…

8 hours ago

Floating-Point Precision and Its Effects to Model Inference

Overview This post is divided into five parts; they are: • How Floating-Point Numbers Work…

8 hours ago

The Fridge-Hacking Spree Is an Internet-of-Things Wake-Up Call

Escalating hacks affecting blood labs and grocery stores show the very real risks to critical…

9 hours ago

Changing a character across an ~hour long TV episode

I've been working on a repeatable process to do character swaps (& other types of…

1 day ago

DiffusionGemma: Hands-On with Google’s Text Model That Writes All at Once

In this article, you will learn what DiffusionGemma is, how its diffusion-based text generation differs…

1 day ago

Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20

Sponsored Content       From November 5 to November 20, 2026 (starting at 8:00…

1 day ago