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update structure.md
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@ -5,39 +5,48 @@ Open-Sora
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├── README.md
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├── assets
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│ ├── images -> images used for image-conditioned generation
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│ ├── demo -> images used for demo
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│ ├── texts -> prompts used for text-conditioned generation
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│ └── readme -> images used in README
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├── configs -> Configs for training & inference
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├── docker -> dockerfile for Open-Sora
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├── docs
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│ ├── acceleration.md -> Report on acceleration & speed benchmark
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│ ├── command.md -> Commands for training & inference
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│ ├── commands.md -> Commands for training & inference
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│ ├── datasets.md -> Datasets used in this project
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| ├── data_pipeline.md -> Data pipeline documents
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| ├── data_processing.md -> Data pipeline documents
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| ├── installation.md -> Data pipeline documents
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│ ├── structure.md -> This file
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│ ├── config.md -> Configs meaning
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│ ├── config.md -> Configs for training and inference
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│ ├── report_01.md -> Report for Open-Sora 1.0
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│ ├── report_02.md -> Report for Open-Sora 1.1
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│ ├── report_03.md -> Report for Open-Sora 1.2
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│ ├── vae.md -> our VAE report
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│ └── zh_CN -> Chinese version of the above
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├── eval -> Evaluation scripts
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│ ├── README.md -> Evaluation documentation
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| ├── sample.sh -> script for quickly launching inference on predefined prompts
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| ├── human_eval -> for human eval
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| ├── launch.sh -> script for launching 8 cards sampling
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| ├── loss -> eval loss
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| ├── sample.sh -> script for quickly launching inference on predefined prompts
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| ├── vae -> for vae eval
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| ├── vbench -> for VBench evaluation
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│ └── vbench_i2v -> for VBench i2v evaluation
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├── gradio -> Gradio demo related code
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├── notebooks -> Jupyter notebooks for generating commands to run
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├── scripts
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│ ├── train.py -> diffusion training script
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│ ├── train_vae.py -> vae training script
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│ ├── inference.py -> diffusion inference script
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│ ├── inference-long.py -> inference script supporting more advanced features
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│ ├── inference_vae.py -> vae inference script
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│ └── misc -> misc scripts, including batch size search
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├── opensora
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│ ├── __init__.py
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│ ├── registry.py -> Registry helper
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│ ├── acceleration -> Acceleration related code
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│ ├── dataset -> Dataset related code
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│ ├── datasets -> Dataset related code
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│ ├── models
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│ │ ├── dit -> DiT
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│ │ ├── layers -> Common layers
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│ │ ├── vae -> VAE as image encoder
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│ │ ├── text_encoder -> Text encoder
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