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docs/source/en/optimization/para_attn.md
@@ -29,7 +29,7 @@ However, it is hard to decide when to reuse the cache to ensure quality generate
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This achieves a 2x speedup on FLUX.1-dev and HunyuanVideo inference with very good quality.
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<figure>
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- <img src="https://huggingface.co/datasets/chengzeyi/documentation-images/resolve/main/diffusers/para-attn/ada-cache.png" alt="Cache in Diffusion Transformer" />
+ <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/para-attn/ada-cache.png" alt="Cache in Diffusion Transformer" />
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<figcaption>How AdaCache works, First Block Cache is a variant of it</figcaption>
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</figure>
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