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  - wan2.2
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  ---
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  # LongLive2.0 5B Checkpoints
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  This repository hosts temporary LongLive2.0 5B checkpoints for inference with
@@ -91,12 +95,14 @@ If the LoRA checkpoint is not used, remove the `adapter` section and leave
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  ## Prompt Folder
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- `data.data_path` can be either:
 
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  - a `.txt` file, where each line is one single-shot prompt; or
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  - a directory of multi-shot prompt folders.
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- Example multi-shot prompt folder:
 
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  ```text
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  inference_prompts/
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  shot_durations.txt
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  ```
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  Each JSON file contains:
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  ```json
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  - `inference.multi_shot_rope_offset` controls the multi-shot RoPE offset.
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  - For NVFP4 inference, use the separate NVFP4 config and setup instructions in
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  the LongLive2.0 documentation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - wan2.2
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  ---
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/wileewang/LongLive2.0/release-clean-merge/assets/longlive2/logo.png" alt="LongLive2.0 logo" width="100%">
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+ </p>
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+
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  # LongLive2.0 5B Checkpoints
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  This repository hosts temporary LongLive2.0 5B checkpoints for inference with
 
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  ## Prompt Folder
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+ `data.data_path` is passed to `MultiTextConcatDataset` in `inference.py`. It can
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+ be either:
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  - a `.txt` file, where each line is one single-shot prompt; or
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  - a directory of multi-shot prompt folders.
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+ For a directory input, the code supports both of the following layouts. The
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+ direct caption-root layout is the simplest:
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  ```text
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  inference_prompts/
 
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  shot_durations.txt
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  ```
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+ It also supports a dataset root with an outer `caption/` folder:
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+
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+ ```text
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+ inference_prompts/
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+ caption/
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+ robot_lab_demo/
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+ 0.json
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+ 1.json
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+ 2.json
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+ shot_durations.txt
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+ ```
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+
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  Each JSON file contains:
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  ```json
 
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  - `inference.multi_shot_rope_offset` controls the multi-shot RoPE offset.
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  - For NVFP4 inference, use the separate NVFP4 config and setup instructions in
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  the LongLive2.0 documentation.
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+
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+ ## Citation
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+
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+ Citation will be updated after the paper is released.
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+
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+ ```bibtex
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+ @article{longlive2,
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+ title = {LongLive2.0: An NVFP4 Parallel Infrastructure for Long Video Generation},
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+ author = {TODO},
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+ journal = {TODO},
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+ year = {2026}
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+ }
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+ ```