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    【WAN2.1】Video extension - v2.0
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    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:

    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

    Description

    What's new? :

    • New interface,

    • New upscaler,

    • New model optimisation,

    • New LoRA loader.

    FAQ

    Comments (6)

    terrosaurxApr 12, 2025
    CivitAI

    I import a 32 FPS vid that was interpolated from 16 FPS, and always end up with 64 FPS - the 'new' half of the video plays at twice the speed. Any help adjusting this? I tried the force_rate as well as various interpolation setups but it's always the same.

    UmeAiRT
    Author
    Apr 12, 2025

    Why you dont use the base 16 fps video and interpolate after?

    terrosaurxApr 12, 2025

    @UmeAiRT Oh, so just make all "parts" of the video not interpolated and then interpolate everything on last extension attempt?
    Edit: I mean, if I want to have a short vid made out of 4 2-second long parts, I should turn on interpolation only on the last Extension, so whole thing is interpolated?

    UmeAiRT
    Author
    Apr 12, 2025· 1 reaction

    @terrosaurx Yes ^^ the interpolation is done on the new merged video, regardless of the number of merges that were made before

    terrosaurxApr 12, 2025· 1 reaction

    @UmeAiRT Now that makes a lot of sense, initially I thought only the added part is being interpolated. Thanks for help! Your workflows are incredible <3

    TenzanApr 17, 2025
    CivitAI

    Thanks for all these resources

    The OG result includes the full video, but IN and UP only include the new portion. Can you change it to make IN and UP include the full video? Otherwise each extra process not in one workflow seems to make the video darker and causes mismatch.

    Workflows
    Wan Video

    Details

    Downloads
    590
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/12/2025
    Updated
    7/11/2026
    Deleted
    -

    Files

    WAN21VideoExtension_v20.zip

    Mirrors

    CivitAI (1 mirrors)