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@@ -6,6 +6,7 @@ This model is fine-tuning from PixArt, enabling one-step inference to perform te
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  We wanna highlight that the YOSO-PixArt was originally trained on 512 resolution. However we found that we can construct a YOSO that enables generating samples with 1024 resolution by merging with PixArt-1024 (Eq(15) in the paper) as follows:
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  ![Construction](construction.jpg)
 
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  ## usage
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  ```python
 
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  We wanna highlight that the YOSO-PixArt was originally trained on 512 resolution. However we found that we can construct a YOSO that enables generating samples with 1024 resolution by merging with PixArt-1024 (Eq(15) in the paper) as follows:
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  ![Construction](construction.jpg)
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+ The impressive performance indicates the robust generalization ability of our YOSO.
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  ## usage
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  ```python