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Update app.py
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app.py
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@@ -12,7 +12,7 @@ pipe.enable_model_cpu_offload()
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pipe.to("cuda")
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pipe_xl = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_XL", torch_dtype=torch.float16, revision="refs/pr/17")
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pipe_xl.vae.enable_slicing()
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pipe_xl.scheduler = DPMSolverMultistepScheduler.from_config(
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pipe_xl.enable_model_cpu_offload()
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pipe_xl.to("cpu")
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@@ -25,7 +25,7 @@ def infer(prompt):
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print(video_path)
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video = [Image.fromarray(frame).resize((1024, 576)) for frame in video_frames]
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del pipe
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#pipe_xl.to("cuda")
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video_frames = pipe_xl(prompt, video=video, strength=0.6).frames
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video_path = export_to_video(video_frames, output_video_path="xl_result.mp4")
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pipe.to("cuda")
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pipe_xl = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_XL", torch_dtype=torch.float16, revision="refs/pr/17")
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pipe_xl.vae.enable_slicing()
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pipe_xl.scheduler = DPMSolverMultistepScheduler.from_config(pipe_xl.scheduler.config)
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pipe_xl.enable_model_cpu_offload()
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pipe_xl.to("cpu")
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print(video_path)
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video = [Image.fromarray(frame).resize((1024, 576)) for frame in video_frames]
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#del pipe
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#pipe_xl.to("cuda")
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video_frames = pipe_xl(prompt, video=video, strength=0.6).frames
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video_path = export_to_video(video_frames, output_video_path="xl_result.mp4")
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