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app_hg.py

@@ -39,24 +39,32 @@ import sys
 import subprocess
 from glob import glob
 
-def install_cuda_toolkit():
-    # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
-    CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
-    CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
-    subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
-    subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
-    subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
-
-    os.environ["CUDA_HOME"] = "/usr/local/cuda"
-    os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
-    os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
-        os.environ["CUDA_HOME"],
-        "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
-    )
-    # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
-    os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
+# def install_cuda_toolkit():
+#     # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
+#     CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
+#     CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
+#     subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
+#     subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
+#     subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
+
+#     os.environ["CUDA_HOME"] = "/usr/local/cuda"
+#     os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
+#     os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
+#         os.environ["CUDA_HOME"],
+#         "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
+#     )
+#     # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
+#     os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
+        
+# install_cuda_toolkit()
+
+def install_requirements():
+    # Install the packages listed in requirements.txt
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "git+https://github.com/NVlabs/nvdiffrast"])
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "git+https://github.com/facebookresearch/pytorch3d@stable"])
+    
+install_requirements()
 
-install_cuda_toolkit()
 
 
 from infer import seed_everything, save_gif
@@ -189,7 +197,7 @@ if BAKE_AVAILEBLE:
 
 
 ### functional modules    
-@spaces.GPU
+@spaces.GPU(duration=140)
 def stage_0_t2i(text, image, seed, step):
     os.makedirs('./outputs/app_output', exist_ok=True)
     exists = set(int(_) for _ in os.listdir('./outputs/app_output') if not _.startswith("."))
@@ -222,7 +230,7 @@ def stage_1_xbg(image, save_folder, force_remove):
     rgba.save(dst)
     return dst
 
-@spaces.GPU
+@spaces.GPU(duration=110)
 def stage_2_i2v(image, seed, step, save_folder):
     if isinstance(image, str):
         image = Image.open(image)
@@ -260,7 +268,7 @@ def stage_3_v23(
     obj_dst = save_folder + '/mesh_vertex_colors.obj' # gradio just only can show vertex shading
     return obj_dst, glb_dst
 
-@spaces.GPU
+@spaces.GPU(duration=40)
 def stage_3p_baking(save_folder, color, bake):
     if color == "texture" and bake:
         obj_dst = worker_baker(save_folder)
@@ -269,7 +277,7 @@ def stage_3p_baking(save_folder, color, bake):
     else:
         return None
     
-@spaces.GPU
+@spaces.GPU(duration=20)
 def stage_4_gif(save_folder, color, bake, render):
     if not render: return None
     if os.path.exists(save_folder + '/view_1/bake/mesh.obj'):