【WAN2.1】FUN VIDEO CONTROL

✨ WAN2.1 — 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:

1. Open ComfyUI

2. Go to Settings (⚙️ icon, bottom-left)

3. Find "Use Nodes V2 (Vue)" and toggle it ON

4. Refresh the page

5. 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
FUN Model : wan2.1-fun-14B-control.safetensors or wan2.1_fun_control_1.3B_bf16.safetensors
In models/diffusion_models

For GGUF version
FUN Quant Model : wan2.1-fun-14b-control-QX.gguf
In models/diffusion_models

CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip

CLIP-VISION: clip_vision_h.safetensors
in models/clip_vision

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