Update app.py
Browse files
app.py
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@@ -29,79 +29,44 @@ class App:
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def musepose_demo(self):
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with gr.Blocks() as demo:
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btn_align_pose.click(fn=self.pose_alignment_infer.align_pose,
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inputs=[vid_dance_input, img_pose_input, nb_detect_resolution, nb_image_resolution,
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nb_align_frame, nb_max_frame],
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outputs=[vid_dance_output, vid_dance_output_demo])
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with gr.TabItem('2: MusePose Inference'):
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with gr.Row():
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with gr.Column(scale=3):
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img_musepose_input = gr.Image(label="Input Image", type="filepath", scale=5)
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vid_pose_input = gr.Video(label="Input Aligned Pose Video", max_length=10, scale=5)
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with gr.Column(scale=3):
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vid_output = gr.Video(label="MusePose Output", scale=5)
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vid_output_demo = gr.Video(label="MusePose Output Demo", scale=5)
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with gr.Column(scale=3):
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with gr.Column():
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weight_dtype = gr.Dropdown(label="Compute Type", choices=["fp16", "fp32"], value="fp16")
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nb_width = gr.Number(label="Width", value=512, precision=0)
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nb_height = gr.Number(label="Height", value=512, precision=0)
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nb_video_frame_length = gr.Number(label="Video Frame Length", value=300, precision=0)
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nb_video_slice_frame_length = gr.Number(label="Video Slice Frame Number", value=48, precision=0)
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nb_video_slice_overlap_frame_number = gr.Number(label="Video Slice Overlap Frame Number", value=4, precision=0)
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nb_cfg = gr.Number(label="CFG (Classifier Free Guidance)", value=3.5, precision=0)
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nb_seed = gr.Number(label="Seed", value=99, precision=0)
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nb_steps = gr.Number(label="DDIM Sampling Steps", value=20, precision=0)
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nb_fps = gr.Number(label="FPS (Frames Per Second)", value=-1, precision=0, info="Set to '-1' to use same FPS with pose's")
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nb_skip = gr.Number(label="SKIP (Frame Sample Rate = SKIP+1)", value=1, precision=0)
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with gr.Row():
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btn_generate = gr.Button("GENERATE", variant="primary")
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btn_generate.click(fn=self.musepose_infer.infer_musepose,
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inputs=[img_musepose_input, vid_pose_input, weight_dtype, nb_width, nb_height,
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nb_video_frame_length, nb_video_slice_frame_length,
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nb_video_slice_overlap_frame_number, nb_cfg, nb_seed, nb_steps, nb_fps,
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nb_skip],
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outputs=[vid_output, vid_output_demo])
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vid_dance_output.change(fn=self.on_step1_complete,
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inputs=[img_pose_input, vid_dance_output],
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outputs=[img_musepose_input, vid_pose_input])
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return demo
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@staticmethod
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def header():
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header = gr.HTML(
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def musepose_demo(self):
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with gr.Blocks() as demo:
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self.header()
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# 첫 번째 단계: Pose Alignment
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img_pose_input = gr.Image(label="Input Image", type="filepath", scale=5)
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vid_dance_input = gr.Video(label="Input Dance Video", max_length=10, scale=5)
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vid_dance_output = gr.Video(label="Aligned Pose Output", scale=5, interactive=False)
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vid_dance_output_demo = gr.Video(label="Aligned Pose Output Demo", scale=5)
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# 두 번째 단계: MusePose Inference
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img_musepose_input = gr.Image(label="Input Image", type="filepath", scale=5)
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vid_pose_input = gr.Video(label="Input Aligned Pose Video", max_length=10, scale=5)
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vid_output = gr.Video(label="MusePose Output", scale=5)
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vid_output_demo = gr.Video(label="MusePose Output Demo", scale=5)
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btn_align_pose = gr.Button("ALIGN POSE", variant="primary")
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btn_generate = gr.Button("GENERATE", variant="primary")
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btn_align_pose.click(
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fn=self.pose_alignment_infer.align_pose,
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inputs=[vid_dance_input, img_pose_input],
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outputs=[vid_dance_output, vid_dance_output_demo]
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)
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btn_generate.click(
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fn=self.musepose_infer.infer_musepose,
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inputs=[img_musepose_input, vid_pose_input],
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outputs=[vid_output, vid_output_demo]
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)
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vid_dance_output.change(
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fn=self.on_step1_complete,
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inputs=[img_pose_input, vid_dance_output],
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outputs=[img_musepose_input, vid_pose_input]
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)
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return demo
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@staticmethod
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def header():
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header = gr.HTML(
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