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v1.0/README.md

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+---
+language:
+- en
+tags:
+- art
+---
+
+# Wan2.2-Fun-A14B-InP-low-noise-MPS
+
+**Creator**: [BBS_revenger](https://civitai.com/user/BBS_revenger)
+**Type**: LORA
+**Base Model**: Wan Video 2.2 T2V-A14B
+**Version**: v1.0
+**Trigger Words**: `N/A`
+
+**Civitai Model ID**: 1953737
+**Civitai Version ID**: 2211200
+
+**Stats (at time of fetch for this version)**:
+*   Downloads: 30
+*   Rating: 0 (0 ratings)
+*   Favorites: N/A
+
+---
+
+## 📄 Description (Parent Model)
+
+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 MPS 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 4,500 steps.
+
+## Civitai Links
+
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/1953737?modelVersionId=2211200)**
+*   [View Full Model Page →](https://civitai.com/models/1953737)
+*   [View Creator Profile →](https://civitai.com/user/BBS_revenger)
+
+---
+
+## File Information
+
+*   **Filename**: `Wan2.2-Fun-A14B-InP-low-noise-MPS.safetensors`
+*   **Size**: 818.69 MB
+*   **Hash (AutoV2)**: `0E6AC56C89`
+*   **Hash (SHA256)**: `0E6AC56C89068386B002B18AB4542207E2C0C431F3C4AC367AE64FECE85DD680`