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src/diffusers/hooks/first_block_cache.py

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@@ -197,8 +197,8 @@ def apply_first_block_cache(module: torch.nn.Module, config: FirstBlockCacheConf
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Cache](https://github.com/chengzeyi/ParaAttention/blob/4de137c5b96416489f06e43e19f2c14a772e28fd/README.md#first-block-cache-our-dynamic-caching)
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to a given module.
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First Block Cache builds on the ideas of [TeaCache](https://huggingface.co/papers/2411.19108). It is much simpler to implement generically for a wide range
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of models and has been integrated first for experimental purposes.
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First Block Cache builds on the ideas of [TeaCache](https://huggingface.co/papers/2411.19108). It is much simpler
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to implement generically for a wide range of models and has been integrated first for experimental purposes.
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Args:
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module (`torch.nn.Module`):

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