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bugfix
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@@ -422,7 +422,7 @@ class QwenImageDiT(torch.nn.Module):
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img_shapes = [(latents.shape[0], latents.shape[2]//2, latents.shape[3]//2)]
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txt_seq_lens = prompt_emb_mask.sum(dim=1).tolist()
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image = rearrange(latents, "B C (H P) (W Q) -> B (H W) (P Q C)", H=height//16, W=width//16, P=2, Q=2)
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image = rearrange(latents, "B C (H P) (W Q) -> B (H W) (C P Q)", H=height//16, W=width//16, P=2, Q=2)
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image = self.img_in(image)
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text = self.txt_in(self.txt_norm(prompt_emb))
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@@ -441,7 +441,7 @@ class QwenImageDiT(torch.nn.Module):
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image = self.norm_out(image, conditioning)
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image = self.proj_out(image)
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latents = rearrange(image, "B (H W) (P Q C) -> B C (H P) (W Q)", H=height//16, W=width//16, P=2, Q=2)
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latents = rearrange(image, "B (H W) (C P Q) -> B C (H P) (W Q)", H=height//16, W=width//16, P=2, Q=2)
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return image
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@staticmethod
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