Upload 3 files

app.py

@@ -127,7 +127,7 @@ class App:
     def launch(self):
         demo = self.musepose_demo()
         demo.queue().launch(
-            share=self.args.share
+            share=True
         )
 
 

musepose_inference.py

@@ -21,7 +21,7 @@ from musepose.utils.util import get_fps, read_frames, save_videos_grid
 from downloading_weights import download_models
 
 # ZeroGPU
-import spaces
+#import spaces
 
 
 class MusePoseInference:
@@ -51,7 +51,7 @@ class MusePoseInference:
         if not os.path.exists(self.output_dir):
             os.makedirs(self.output_dir)
 
-    @spaces.GPU(duration=180)
+    #@spaces.GPU(duration=180)
     def infer_musepose(
         self,
         ref_image_path: str,
@@ -191,7 +191,7 @@ class MusePoseInference:
         )
         return output_path, output_path_demo
 
-    @spaces.GPU(duration=120)
+    #@spaces.GPU(duration=120)
     def init_model(self,
                    weight_dtype: torch.dtype,
                    infer_config: DictConfig

pose_align.py

@@ -13,7 +13,7 @@ from pose.script.util import size_calculate, warpAffine_kps
 from downloading_weights import download_models
 
 # ZeroGPU
-import spaces
+#import spaces
 
 
 '''
@@ -40,7 +40,7 @@ class PoseAlignmentInference:
         if not os.path.exists(self.output_dir):
             os.makedirs(self.output_dir)
 
-    @spaces.GPU(duration=120)
+    #@spaces.GPU(duration=120)
     def align_pose(
         self,
         vidfn: str,
@@ -312,7 +312,7 @@ class PoseAlignmentInference:
         print('pose align done')
         return outfn_align_pose_video, outfn
 
-    @spaces.GPU(duration=120)
+    #@spaces.GPU(duration=120)
     def init_model(self):
         if self.detector is None:
             device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')