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Update app.py
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app.py
CHANGED
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@@ -36,7 +36,6 @@ logger = logging.getLogger(__name__)
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_predictor = None
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task_type = TaskType.I2V # Default task type.
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-
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@spaces.GPU(duration=90)
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def init_predictor():
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global _predictor
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@@ -93,7 +92,7 @@ def generate_video(prompt, seed, image=None):
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assert image is not None, "Please input an image for I2V task."
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kwargs["image"] = Image.open(image)
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elif task_type == TaskType.T2V:
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pass
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else:
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raise ValueError(f"Invalid task_type: {task_type}")
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@@ -104,13 +103,13 @@ def generate_video(prompt, seed, image=None):
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# --- Convert to NumPy, move to CPU, scale, and change dtype ---
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output = (output.cpu().numpy() * 255).astype(np.uint8)
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save_dir = f"./result/{task_type.name}"
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os.makedirs(save_dir, exist_ok=True)
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video_out_file = f"{save_dir}/{prompt[:100].replace('/','')}_{seed}.mp4"
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print(f"generate video, local path: {video_out_file}")
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export_to_video(output, video_out_file, fps=24)
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return video_out_file, kwargs
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@@ -143,7 +142,6 @@ if __name__ == "__main__":
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task_type = TaskType.T2V
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elif args.task_type == "i2v":
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task_type = TaskType.I2V
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# No else, default is already set.
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demo = create_gradio_interface()
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demo.queue().launch()
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_predictor = None
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task_type = TaskType.I2V # Default task type.
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@spaces.GPU(duration=90)
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def init_predictor():
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global _predictor
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assert image is not None, "Please input an image for I2V task."
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kwargs["image"] = Image.open(image)
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elif task_type == TaskType.T2V:
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pass
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else:
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raise ValueError(f"Invalid task_type: {task_type}")
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# --- Convert to NumPy, move to CPU, scale, and change dtype ---
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output = (output.cpu().numpy() * 255).astype(np.uint8)
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output = output.transpose(0, 2, 3, 4, 1) #Correct transpose.
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save_dir = f"./result/{task_type.name}"
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os.makedirs(save_dir, exist_ok=True)
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video_out_file = f"{save_dir}/{prompt[:100].replace('/','')}_{seed}.mp4"
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print(f"generate video, local path: {video_out_file}")
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export_to_video(output, video_out_file, fps=24)
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return video_out_file, kwargs
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task_type = TaskType.T2V
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elif args.task_type == "i2v":
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task_type = TaskType.I2V
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demo = create_gradio_interface()
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demo.queue().launch()
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