Update app.py

app.py

@@ -6,42 +6,15 @@ import logging
 from diffusers import DiffusionPipeline
 import subprocess
 
-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"
-
-if __name__ == "__main__":
-    logging.basicConfig(
-        format="[%(levelname)s] %(asctime)s %(message)s", level=logging.INFO
-    )
-    logging.info("Environment Variables: %s" % os.environ)
-    if _get_output(["nvcc", "--version"]) is None:
-        logging.info("Installing CUDA toolkit...")
-        install_cuda_toolkit()
-    else:
-        logging.info("Detected CUDA: %s" % _get_output(["nvcc", "--version"]))
-
-    # logging.info("Installing CUDA extensions...")
-    # setup_runtime_env()
-
-    logging.info("Starting the main application...")
-    # main(os.getenv("DEBUG") == "1")
-
-
-# pipe = DiffusionPipeline.from_pretrained("azaneko/HiDream-I1-Fast-nf4")
-
-# prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
-# image = pipe(prompt).images[0]
+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")
+
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image = pipe(prompt).images[0]