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app.py

@@ -10,6 +10,16 @@ import sys
 from loguru import logger
 current_path = os.path.dirname(os.path.abspath(__file__))
 
+# try:
+#     import diff_gaussian_rasterization  # noqa: F401
+# except ImportError:
+#     @spaces.GPU
+#     def install_diff_gaussian_rasterization():
+#         os.system("pip install ./extensions/RaDe-GS/submodules/diff-gaussian-rasterization")
+#     install_diff_gaussian_rasterization()
+
+
+
 MAX_SEED = np.iinfo(np.int32).max
 TMP_DIR = os.path.join(current_path, 'out')
 os.makedirs(TMP_DIR, exist_ok=True)
@@ -50,6 +60,7 @@ txt_commands = "PYTHONPATH=./ bash scripts/infer.sh src/infer_gsdiff_pas.py  con
 # process function
 @spaces.GPU
 def process(input_image, prompt='a_high_quality_3D_asset', prompt_neg='poor_quality', input_elevation=20, guidance_scale=2., input_seed=0):
+    # fail to install RaDe-GS 
     # subprocess.run("cd extensions/RaDe-GS/submodules && pip3 install diff-gaussian-rasterization", shell=True)
     # subprocess.run("cd extensions/RaDe-GS/submodules/diff-gaussian-rasterization && python3 setup.py bdist_wheel ", shell=True)
 
@@ -124,8 +135,7 @@ with block:
             
             # elevation
             input_elevation = gr.Slider(label="elevation", minimum=-90, maximum=90, step=1, value=10)
-            # # inference steps
-            # input_num_steps = gr.Slider(label="inference steps", minimum=1, maximum=100, step=1, value=30)
+
             # random seed
             input_seed = gr.Slider(label="random seed", minimum=0, maximum=100000, step=1, value=0)
             # gen button
@@ -151,8 +161,7 @@ with block:
         ],
         inputs=[input_image],
         outputs=[output_image, output_video, output_file],
-        fn=lambda x: process(input_image=x),
-        # cache_examples=True,
+        fn=lambda x: process(input_image=x,input_elevation=input_elevation,),
         run_on_click=True,
         label='Image-to-3D Examples'
     )
@@ -166,8 +175,7 @@ with block:
         inputs=[input_text],
         outputs=[output_image, output_video, output_file],
         fn=lambda x: process(input_image=None, prompt=x),
-        cache_examples=True,
-        # run_on_click=True,
+        run_on_click=True,
         label='Text-to-3D Examples'
     )
     

src/infer_gsdiff_pas.py

@@ -610,9 +610,9 @@ def main():
                         save_gif = "gif" in args.output_video_type
 
                         if fancy_video:
-                            render_azimuths = np.arange(0., 720., 4)
+                            render_azimuths = np.arange(0., 720., 40)
                         else:
-                            render_azimuths = np.arange(0., 360., 2)
+                            render_azimuths = np.arange(0., 360., 10)
 
                         C2W = []
                         for i in range(len(render_azimuths)):