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support wan-flf2v
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@@ -211,6 +211,8 @@ class WanVideoPipeline(BasePipeline):
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if end_image is not None:
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end_image = self.preprocess_image(end_image.resize((width, height))).to(self.device)
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vae_input = torch.concat([image.transpose(0,1), torch.zeros(3, num_frames-2, height, width).to(image.device), end_image.transpose(0,1)],dim=1)
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if self.dit.has_image_pos_emb:
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clip_context = torch.concat([clip_context, self.image_encoder.encode_image([end_image])], dim=1)
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msk[:, -1:] = 1
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else:
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vae_input = torch.concat([image.transpose(0, 1), torch.zeros(3, num_frames-1, height, width).to(image.device)], dim=1)
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