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@@ -140,7 +140,7 @@ class LightningModelForDataProcess(pl.LightningModule):
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if "first_frame" in batch:
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first_frame = Image.fromarray(batch["first_frame"][0].cpu().numpy())
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_, _, num_frames, height, width = video.shape
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image_emb = self.pipe.encode_image(first_frame, num_frames, height, width)
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image_emb = self.pipe.encode_image(first_frame, None, num_frames, height, width)
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else:
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image_emb = {}
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data = {"latents": latents, "prompt_emb": prompt_emb, "image_emb": image_emb}
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