✨ WAN2.1 — Video extension — Simple Workflow

A clean, all-in-one WAN video extension 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-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:

👉 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)

Recommendation :
>24 gb Vram: base or Q8_0
16 gb Vram: Q5_K_S
<12 gb Vram: Q4_K_S

For base version
VACE Model: wan2.1_vace_14B_fp8_e4m3fn.safetensors or wan2.1_vace_1.3B_fp16.safetensors
In models/diffusion_models

CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip

For GGUF version
VACE Quant Model: Wan2.1-VACE-14B-QX_0.gguf
In models/diffusion_models

Quant CLIP: umt5-xxl-encoder-QX.gguf
in models/clip

VAE: wan_2.1_vae.safetensors
in models/vae

ANY upscale model (depreciated):

Realistic : RealESRGAN_x4plus.pth
Anime : RealESRGAN_x4plus_anime_6B.pth

in models/upscale_models

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