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Added support for WAN 2.2 model

This PR introduces support for the WAN 2.2 model and refactors the existing pipeline to dynamically handle multiple model versions.

New Model Support (WAN 2.2)

The configuration for the WAN 2.2 model are added:

base_wan_27b.yml: New configuration file for the WAN 2.2 (27B) model.

Refactoring for Multi-Model Support

To allow the system to select between WAN 2.1 and 2.2, several core files were modified:

generate_wan.py: calls the correct pipeline (WAN 2.1 / WAN 2.2) depending on the model_name parameter in config files.
wan_utils.py: Updated all transformer loading functions to include a subfolder parameter.
base_wan_14b.yml: Added the model_name parameter to conform to the new configuration standard.
wan_pipeline.py: The processing pipeline which supports both WAN 2.1 and WAN 2.2 by using separate base classes
wan_checkpointer.py: Handles checkpoint loading/saving for both WAN 2.1 and WAN 2.2.
wan_checkpointer_test.py: Tests for WAN 2.1 and WAN 2.2 checkpointer

We tested the above pipeline for both WAN 2.1 and WAN 2.2 and the benchmarking numbers can be found here: https://docs.google.com/spreadsheets/d/1GJqOoTUikAqLWedQG0Qu4YQbdQ5IeveHMqnOgi3d1tY/edit?pli=1&resourcekey=0-ywo0BVMZ-W1Vf7kCJhekXQ&gid=1962169097#gid=1962169097

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Can you also make sure Wan2.1 training and inference still runs without issues before this PR goes into main?

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Can you also make sure Wan2.1 training and inference still runs without issues before this PR goes into main?

sample logs:
WAN 2.1: https://paste.googleplex.com/6392513959165952
WAN 2.2: https://paste.googleplex.com/4651918836236288

@prishajain1 prishajain1 requested a review from entrpn November 12, 2025 03:56
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2 participants