update

app.py

@@ -38,7 +38,7 @@ download_model()
 def viewcrafter_demo(opts):
     css = """#input_img {max-width: 1024px !important} #output_vid {max-width: 1024px; max-height:576px} #random_button {max-width: 100px !important}"""
     image2video = ViewCrafter(opts, gradio = True)
-    image2video.run_gradio = spaces.GPU(image2video.run_gradio, duration=120)
+    image2video.run_gradio = spaces.GPU(image2video.run_gradio, duration=800)
     with gr.Blocks(analytics_enabled=False, css=css) as viewcrafter_iface:
         gr.Markdown("<div align='center'> <h1> ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis </span> </h1> \
                       <h2 style='font-weight: 450; font-size: 1rem; margin: 0rem'>\

viewcrafter.py

@@ -66,11 +66,11 @@ class ViewCrafter:
         
         color_mask = torch.ones(col.shape).to(device)
 
-        point_cloud_mask = Pointclouds(points=[pts],features=[color_mask]).extend(views)
+        # point_cloud_mask = Pointclouds(points=[pts],features=[color_mask]).extend(views)
         point_cloud = Pointclouds(points=[pts], features=[col]).extend(views)
         images = renderer(point_cloud)
-        view_masks = renderer(point_cloud_mask)
-        return images, view_masks
+        # view_masks = renderer(point_cloud_mask)
+        return images, None
     
     def run_render(self, pcd, imgs,masks, H, W, camera_traj,num_views,use_cpu=False):
         if use_cpu: