Wan2.1 Fun Reward LoRAs Introduction We explore the Reward Backpropagation technique 1 2 to optimized the generated videos by Wan2.1 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. Name Base Model Reward Model Hugging Face Description Wan2.1 Fun 1.3B InP HPS2.1.safetensors Wan2.1 Fun 1.3B InP HPS v2.1 🤗Link Official HPS v2.1 reward LoRA ( rank=128 and network alpha=64 ) for Wan2.1 Fun 1.3B InP. It is trained with a batch size of 8 for 5,000 steps. Wan2.1 Fun 1.3B InP MPS.safetensors Wan2.1 Fun 1.3B InP MPS 🤗Link Official MPS reward LoRA ( rank=128 and network alpha=64 ) for Wan2.1 Fun 1.3B InP. It is trained with a batch size of 8 for 7,500 steps. Wan2.1 Fun 14B InP HPS2.1.safetensors Wan2.1 Fun 14B InP HPS v2.1 🤗Link Official HPS v2.1 reward LoRA ( rank=128 and network alpha=64 ) for Wan2.1 Fun 14B InP. It is trained with a batch size of 32 for 3,000 steps. Wan2.1 Fun 14B InP MPS.safetensors Wan2.1 Fun 14B InP MPS 🤗Link Official MPS…
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