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README.md
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## Model Architecture
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Ruyi-Mini-7B is an advanced image-to-video model with about 7.1 billion parameters. The model architecture is modified from [EasyAnimate V4 model](https://github.com/aigc-apps/EasyAnimate), whose transformer module is inherited from [HunyuanDiT](https://github.com/Tencent/HunyuanDiT). It comprises three key components:
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1. Casual VAE Module: Handles video compression and decompression. It reduces spatial resolution to 1/8 and temporal resolution to 1/4, with each latent pixel is represented in 16
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2. Diffusion Transformer Module: Generates compressed video data using 3D full attention, with:
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- 2D Normalized-RoPE for spatial dimensions;
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- Sin-cos position embedding for temporal dimensions;
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## Model Architecture
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Ruyi-Mini-7B is an advanced image-to-video model with about 7.1 billion parameters. The model architecture is modified from [EasyAnimate V4 model](https://github.com/aigc-apps/EasyAnimate), whose transformer module is inherited from [HunyuanDiT](https://github.com/Tencent/HunyuanDiT). It comprises three key components:
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1. Casual VAE Module: Handles video compression and decompression. It reduces spatial resolution to 1/8 and temporal resolution to 1/4, with each latent pixel is represented in 16 float numbers after compression.
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2. Diffusion Transformer Module: Generates compressed video data using 3D full attention, with:
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- 2D Normalized-RoPE for spatial dimensions;
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- Sin-cos position embedding for temporal dimensions;
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