README.md
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license: apache-2.0
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---
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license: apache-2.0
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---
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tags:
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- wan
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- wan2.2
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- wan image 2 video
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---
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# WAN 2.2 β Image to Video Model
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This model is designed for generating short video sequences from still images using WAN 2.2 diffusion.
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It is compatible with **ComfyUI** workflows and supports LoRA fine-tuning for custom movements or character behaviors.
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---
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## π Requirements
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To run this model, you will need:
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1. **ComfyUI**
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A modular, node-based UI for building diffusion pipelines.
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2. **Diffusion Models β WAN 2.2**
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Core model for image-to-video generation.
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3. **LoRAs (Low-Rank Adaptations)**
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For custom motion and pose fine-tuning.
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4. **Text Encoders**
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Required for prompt conditioning and text-to-motion integration.
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5. **VAE (Variational Autoencoder)**
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For decoding latent video representations into pixel space.
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---
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## π LoRA Details
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### 1. SeductiveTurns
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- **Demo:** [SeductiveTurns on Hugging Face](https://huggingface.co/rstudioModel/SeductiveTurns)
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- **Tags:**
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- a girl is doing the turning pose
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- she is turning a half circle and then walks away
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---
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### 2. SeductiveTurns2
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- **Demo:** [SeductiveTurns2 on Hugging Face](https://huggingface.co/rstudioModel/SeductiveTurns2)
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- **Tags:**
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- (to be defined β describe motion/pose here)
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---
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## π Usage
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This model can be loaded in **ComfyUI** with WAN 2.2 diffusion backbone and paired with the listed LoRAs for specialized motion effects.
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