Update app.py

app.py

@@ -6,13 +6,13 @@ import logging
 from diffusers import DiffusionPipeline
 import subprocess
 
-os.environ["CUDA_HOME"] = "/usr/local/cuda"
-CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
-CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
-subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
-subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
-subprocess.call([CUDA_TOOLKIT_FILE, "--toolkit"])
-os.environ["CUDA_HOME"] = "/usr/local/cuda"
+# os.environ["CUDA_HOME"] = "/usr/local/cuda"
+# CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
+# CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
+# subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
+# subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
+# subprocess.call([CUDA_TOOLKIT_FILE, "--toolkit"])
+# os.environ["CUDA_HOME"] = "/usr/local/cuda"
 
 pipe = DiffusionPipeline.from_pretrained("azaneko/HiDream-I1-Fast-nf4")