LPX55 commited on
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7dd6058
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1 Parent(s): cfe77c3

Update app.py

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Files changed (1) hide show
  1. app.py +72 -3
app.py CHANGED
@@ -4,7 +4,76 @@ import torch
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  import logging
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  from diffusers import DiffusionPipeline
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- pipe = DiffusionPipeline.from_pretrained("azaneko/HiDream-I1-Fast-nf4")
 
 
 
 
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- prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
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- image = pipe(prompt).images[0]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import logging
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  from diffusers import DiffusionPipeline
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+ def _get_output(cmd):
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+ try:
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+ return subprocess.check_output(cmd).decode("utf-8")
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+ except Exception as ex:
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+ logging.exception(ex)
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+ return None
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+
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+ def install_cuda_toolkit():
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+ # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
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+ CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
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+ CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
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+ subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
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+ subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
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+ subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
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+
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+ os.environ["CUDA_HOME"] = "/usr/local/cuda"
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+ os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
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+ os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
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+ os.environ["CUDA_HOME"],
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+ "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
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+ )
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+ # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
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+ os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
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+
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+ def setup_runtime_env():
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+ logging.info("Python Version: %s" % _get_output(["python", "--version"]))
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+ logging.info("CUDA Version: %s" % _get_output(["nvcc", "--version"]))
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+ logging.info("GCC Version: %s" % _get_output(["gcc", "--version"]))
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+ logging.info("CUDA is available: %s" % torch.cuda.is_available())
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+ logging.info("CUDA Device Capability: %s" % (torch.cuda.get_device_capability(),))
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+
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+ # Install Pre-compiled CUDA extensions (Fallback to this solution on 12/31/24)
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+ # Ref: https://huggingface.co/spaces/zero-gpu-explorers/README/discussions/110
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+ ext_dir = os.path.join(os.path.dirname(__file__), "wheels")
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+ for e in os.listdir(ext_dir):
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+ logging.info("Installing Extensions from %s" % e)
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+ subprocess.call(
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+ ["pip", "install", os.path.join(ext_dir, e)], stderr=subprocess.STDOUT
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+ )
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+ # Compile CUDA extensions
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+ # Update on 12/31/24: No module named 'torch'. But it is installed and listed by `pip list`
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+ # ext_dir = os.path.join(os.path.dirname(__file__), "citydreamer", "extensions")
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+ # for e in os.listdir(ext_dir):
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+ # if os.path.isdir(os.path.join(ext_dir, e)):
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+ # subprocess.call(["pip", "install", "."], cwd=os.path.join(ext_dir, e))
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+
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+ logging.info("Installed Python Packages: %s" % _get_output(["pip", "list"]))
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+
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+
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+
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+ if __name__ == "__main__":
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+ logging.basicConfig(
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+ format="[%(levelname)s] %(asctime)s %(message)s", level=logging.INFO
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+ )
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+ logging.info("Environment Variables: %s" % os.environ)
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+ if _get_output(["nvcc", "--version"]) is None:
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+ logging.info("Installing CUDA toolkit...")
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+ install_cuda_toolkit()
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+ else:
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+ logging.info("Detected CUDA: %s" % _get_output(["nvcc", "--version"]))
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+
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+ logging.info("Installing CUDA extensions...")
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+ setup_runtime_env()
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+
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+ logging.info("Starting the main application...")
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+ main(os.getenv("DEBUG") == "1")
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+
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+
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+ # pipe = DiffusionPipeline.from_pretrained("azaneko/HiDream-I1-Fast-nf4")
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+
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+ # prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
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+ # image = pipe(prompt).images[0]