✨ WAN2.2 — Fun control — Simple Workflow
A clean, all-in-one WAN fun control workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
It allows you to use a video to create a sequence that ends at the beginning of the source video, thereby creating a loop.
Only 12 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.
⚠️ IMPORTANT — Nodes 2.0 Required
This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.
How to activate Nodes 2.0:
Open ComfyUI
Go to Settings (⚙️ icon, bottom-left)
Find "Use Nodes V2 (Vue)" and toggle it ON
Refresh the page
Load the workflow
If you prefer the classic interface, check out my Legacy version of this workflow instead (link).
🎯 Features
Text-to-video generation
Automatic download of models in auto version
Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality
Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing
3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.
📦 Custom Node Required
Only one custom node to install:
Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer.
The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.
📂 Files you need (in manual version)
For base version
I2V Model : wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors and wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
In models/diffusion_models
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
For GGUF version
I2V Quant Model : Wan2.2-Fun-A14B-Control_HighNoise-QX.gguf and Wan2.2-Fun-A14B-Control_LowNoise-QX.gguf
In models/unet
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
For speed version
lightning LoRA : Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors and Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors
For AIO version
I2V FAST AIO Model : wan2.2-i2v-rapid-aio.safetensors
In models/checkpoint
VAE: wan_2.1_vae.safetensors
in models/vae
ANY upscale model:
Realistic : RealESRGAN_x4plus.pth
Anime : RealESRGAN_x4plus_anime_6B.pth
in models/upscale_models
Description
base version
FAQ
Comments (12)
Where there be a version where we can add more loras?
is this 2.1 or 2.2? small little mistake in title i think
anyways your workflows are always apreciated
Yes a little mistake, it's WAN2.2 version
What it do tho don't u needa upload an example O.o
UmeAiRT Ahhhh so this is a "V2V" workflow! Wasn't super obvious at first
How do I know which version to download? The 16 GB one or the 24 GB one?
is there a solution to this?
Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[2, 48, 13, 128, 96] to have 36 channels, but got 48 channels instead
I have the same error. Did you solve this problem?
MagCache nodes not working after an update. Was working fine before the update. Re-installing the nodes doesn't help, still say's "This workflow uses custom nodes you haven't installed yet". Anyone have a solution for this?

