Sign In

Long videos with full control - Wan 2.2 I2V (SVI 2 Pro). Individual LoRa, multiple reference images and more

Updated: Feb 9, 2026

toolwan 2.2svi 2.0 pro

Download

1 variant available

Archive Other

35.81 KB

Verified:

Type

Workflows

Stats

1,314

Reviews

Published

Feb 9, 2026

Base Model

Wan Video 2.2 I2V-A14B

Hash

AutoV2
B87D589E94
default creator card background decoration
vamorand's Avatar

vamorand

This workflow focused on ease of use and powerful features for creating segmented videos.

Features:

  • Create unlimited videos beyond Wan 2.2 capabilities, thanks to SVI 2.0 pro

  • Save/load generated videos in raw format to continue further generation. Start from where you're ended, or even use different base model for the rest of the video. No quality degradation. Presumably saves RAM on very long videos

  • Add individual LoRa for each new video segment

  • Chose different reference images for each video segment. It can introduce model to hidden assets/characters, that aren't visible on the start image. No LoRa required!

  • Precisely control every video segment: prompt, length, seed. Check for perfect stitch with previous generation only, no need to search through entire video

  • Upscale and interpolate final result

Based on kijai's SVI 2.0 workflow:

https://github.com/user-attachments/files/24359648/wan22_SVI_Pro_native_example_KJ.json

New custom nodes were made for saving latents of a video (Save Wan Video Latent) and loading from "output" folder (Load Wan Video Latent).
If you can't install them with comfy manager, you can get them manually:

https://github.com/heresyCoder/ComfyUI-WanVideo-LatentIO

Version 2.0

New features:

  • Refined design. Much less visual clutter

  • Now saving the last image of a section. For better navigation between outputs

  • Greatly reduced excessive video encoding for unchanged segments

  • Added fast action buttons for easier activation/deactivation of groups

Others:

  • Fixed flow order: previews now showing immediately after generation

Frieren with a mimic example was made using multiple input images. You can find them in the image gallery of v2.0