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Wan 2.2 GGUF Workflow FTL (first to last image) with Upscale

33

518

19

Updated: Sep 23, 2025

toolftlwanwan2.2

Type

Workflows

Stats

393

0

Reviews

Published

Sep 1, 2025

Base Model

Wan Video 2.2 I2V-A14B

Training

Steps: 4

Hash

AutoV2
8FB30219CF
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logos011's Avatar

logos011

This uses many of the same nodes as my image to video (I2V) workflow - and is also designed for lower VRAM GPUs (I use a 12 GB, though I know it also works on an 8 GB with the Q3 GGUF files for Wan 2.2).

General performance sits around ~4-5 minutes for 5-6 seconds of video at 480p (480 x 832). This includes the upscale (2x) to 960 x 1664. Also of note, I tend to save the "raw" 16 frames per second more often than the RIFE + 32 frames per second final save. This is because I like to merge videos - and it is easier to use non-interpolated videos for easier frame management, then add interpolation back in after the fact.

One note that I find is that, likely due to the lower quants, using lighting descriptions is touchy - it can cause pretty substantial lighting fluctuation, especially when running more than 81 (5s) or 97 (6s) frames. One day I'll have enough extra cash to upgrade my PC to support larger faster RAM (not even just VRAM) and I'll get the bigger non-quant models. A guy can dream ...