Transfer from huggingface

https://huggingface.co/alibaba-pai/Wan2.2-Fun-Reward-LoRAs/tree/main

sample of workflow: https://www.runninghub.ai/post/1966777795378655234

Introduction

We explore the Reward Backpropagation technique 1 2 to optimized the generated videos by Wan2.2-Fun for better alignment with human preferences. We provide the following pre-trained models (i.e. LoRAs) along with the training script. You can use these LoRAs to enhance the corresponding base model as a plug-in or train your own reward LoRA.

For more details, please refer to our GitHub repo.

Official HPS v2.1 reward LoRA (rank=128 and network_alpha=??) for Wan2.2-Fun-A14B-InP (low noise). It is trained with a batch size of 8 for 2,700 steps.