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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.
Model source
Source description
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
Sources
1 sourceModel artifacts
1 artifactWan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors
safetensors · 819 MB · SHA-256 e64ba8988172…ca9d · Civitai
DownloadSource excerpts
1 excerptSource context: 426 downloads · Type LORA · Base model Wan Video 14B t2v
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.
