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Update README.md

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@@ -149,6 +149,7 @@ DASH_API_KEY=your_key torchrun --nproc_per_node=8 generate.py --task i2v-A14B --
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  > The process of prompt extension can be referenced [here](#2-using-prompt-extention).
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  - Running with Diffusers
 
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  ```py
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  import torch
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  import numpy as np
@@ -190,7 +191,11 @@ output = pipe(
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  export_to_video(output, "i2v_output.mp4", fps=16)
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  ```
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-
 
 
 
 
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  ## Computational Efficiency on Different GPUs
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  > The process of prompt extension can be referenced [here](#2-using-prompt-extention).
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  - Running with Diffusers
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+
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  ```py
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  import torch
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  import numpy as np
 
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  export_to_video(output, "i2v_output.mp4", fps=16)
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  ```
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+ > 💡**Note**:This model requires features that are currently available only in the main branch of diffusers. The latest stable release on PyPI does not yet include these updates.
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+ > To use this model, please install the library from source:
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+ > ```
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+ > pip install git+https://github.com/huggingface/diffusers
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+ > ```
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  ## Computational Efficiency on Different GPUs
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