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【WAN2.1】Video loop

Updated: Jul 6, 2026

toolwanwan2.1loopcomfyui

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VIDEO to LOOP 1.0.zip

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Workflows

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Published

Jul 10, 2025

Base Model

Wan Video 14B i2v 480p

Hash

AutoV2
A4A573D1CA
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Likes - 11707

11.7K

Downloads - 347557

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Comfy Workflow Badge

License:

Apache 2.0
video loop.png

WAN2.1 — Video loop — Simple Workflow

A clean, all-in-one WAN video loop 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
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):

in models/upscale_models