Transfer from huggingface
https://huggingface.co/alibaba-pai/Wan2.2-Fun-Reward-LoRAs/tree/main
sample of workflow: https://www.runninghub.ai/post/1966777795378655234
This is one file from a LoRA set, which needs to be used in combination with other LoRAs. It is recommended to refer to the example workflow before downloading and using it.
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=64) for Wan2.2-Fun-A14B-InP (low noise). It is trained with a batch size of 8 for 2,700 steps.
Description
Details
Files
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Mirrors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Mirrors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors