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Update app.py
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app.py
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@@ -87,7 +87,7 @@ def infer(prompt, video_path, condition, video_length, is_long_video):
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text_encoder = CLIPTextModel.from_pretrained(sd_path, subfolder="text_encoder").to(dtype=torch.float16)
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vae = AutoencoderKL.from_pretrained(sd_path, subfolder="vae").to(dtype=torch.float16)
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unet = UNet3DConditionModel.from_pretrained_2d(sd_path, subfolder="unet").to(dtype=torch.float16)
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controlnet = ControlNetModel3D.from_pretrained_2d(controlnet_dict[
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interpolater = IFNet(ckpt_path=inter_path).to(dtype=torch.float16)
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scheduler=DDIMScheduler.from_pretrained(sd_path, subfolder="scheduler")
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text_encoder = CLIPTextModel.from_pretrained(sd_path, subfolder="text_encoder").to(dtype=torch.float16)
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vae = AutoencoderKL.from_pretrained(sd_path, subfolder="vae").to(dtype=torch.float16)
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unet = UNet3DConditionModel.from_pretrained_2d(sd_path, subfolder="unet").to(dtype=torch.float16)
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controlnet = ControlNetModel3D.from_pretrained_2d(controlnet_dict[condition]).to(dtype=torch.float16)
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interpolater = IFNet(ckpt_path=inter_path).to(dtype=torch.float16)
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scheduler=DDIMScheduler.from_pretrained(sd_path, subfolder="scheduler")
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