✨ WAN2.2 — Text to video — Simple Workflow A clean, all-in-one WAN text-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI. 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...
✨ WAN2.2 — Text to video — Simple Workflow
A clean, all-in-one WAN text-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
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-Image 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:
👉 ComfyUI-UmeAiRT-Toolkit
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_i2v_high_noise_14B_fp8_scaled.safetensors and wan2.2_i2v_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_i2v_high_noise_14B_QX.gguf and wan2.2_i2v_low_noise_14B_QX.gguf
In models/unet
Quant CLIP: umt5-xxl-encoder-QX.gguf
in models/clip
For lightx2V version
lightx2V LoRA : Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16.safetensors and Wan2.2-Lightning_T2V-A14B-4steps-lora_LOW_fp16.safetensors
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
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
✨ WAN2.2 — Text to video — Simple Workflow A clean, all-in-one WAN text-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI. Only 12 nodes . No spaghetti wires. Just load your model, write your prompt, and hit generate. ⚠️ IMPORTANT — Nodes…
✨ WAN2.2 — Text to video — Simple Workflow
A clean, all-in-one WAN text-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
Only 12 nodes . No spaghetti wires. Just load your model, write your prompt, and hit generate.
⚠️ IMPORTANT —…
