Upload app_hg.py with huggingface_hub

app_hg.py

@@ -34,68 +34,67 @@ from PIL import Image
 from einops import rearrange
 import pandas as pd
 
-# import sys
-# import spaces
-# import subprocess
-# from huggingface_hub import snapshot_download
-
-# 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"
+import sys
+import spaces
+import subprocess
+from huggingface_hub import snapshot_download
+
+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_requirements():
-#     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"])
-
+def install_requirements():
+    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"])
     
-# def download_models():
-#     os.makedirs("weights", exist_ok=True)
-#     os.makedirs("weights/hunyuanDiT", exist_ok=True)
-#     os.makedirs("third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt", exist_ok=True)
-#     try:
-#         snapshot_download(
-#             repo_id="tencent/Hunyuan3D-1",
-#             local_dir="./weights",
-#             resume_download=True
-#         )
-#         print("Successfully downloaded Hunyuan3D-1 model")
-#     except Exception as e:
-#         print(f"Error downloading Hunyuan3D-1: {e}")
-#     try:
-#         snapshot_download(
-#             repo_id="Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled",
-#             local_dir="./weights/hunyuanDiT",
-#             resume_download=True
-#         )
-#         print("Successfully downloaded HunyuanDiT model")
-#     except Exception as e:
-#         print(f"Error downloading HunyuanDiT: {e}")
-#     try:
-#         snapshot_download(
-#             repo_id="naver/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
-#             local_dir="./third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
-#             resume_download=True
-#         )
-#         print("Successfully downloaded DUSt3R model")
-#     except Exception as e:
-#         print(f"Error downloading DUSt3R: {e}")
+def download_models():
+    os.makedirs("weights", exist_ok=True)
+    os.makedirs("weights/hunyuanDiT", exist_ok=True)
+    os.makedirs("third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt", exist_ok=True)
+    try:
+        snapshot_download(
+            repo_id="tencent/Hunyuan3D-1",
+            local_dir="./weights",
+            resume_download=True
+        )
+        print("Successfully downloaded Hunyuan3D-1 model")
+    except Exception as e:
+        print(f"Error downloading Hunyuan3D-1: {e}")
+    try:
+        snapshot_download(
+            repo_id="Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled",
+            local_dir="./weights/hunyuanDiT",
+            resume_download=True
+        )
+        print("Successfully downloaded HunyuanDiT model")
+    except Exception as e:
+        print(f"Error downloading HunyuanDiT: {e}")
+    try:
+        snapshot_download(
+            repo_id="naver/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
+            local_dir="./third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
+            resume_download=True
+        )
+        print("Successfully downloaded DUSt3R model")
+    except Exception as e:
+        print(f"Error downloading DUSt3R: {e}")
         
-# # install_cuda_toolkit()
-# install_requirements()
-# download_models() ### download weights !!!! 
+# install_cuda_toolkit()
+install_requirements()
+download_models() ### download weights !!!! 
 
 from infer import seed_everything, save_gif
 from infer import Text2Image, Removebg, Image2Views, Views2Mesh, GifRenderer