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Running
on
L40S
Upload app_hg.py with huggingface_hub
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app_hg.py
CHANGED
@@ -35,6 +35,24 @@ from einops import rearrange
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import pandas as pd
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from huggingface_hub import snapshot_download
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from infer import seed_everything, save_gif
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from infer import Text2Image, Removebg, Image2Views, Views2Mesh, GifRenderer
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from third_party.check import check_bake_available
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@@ -94,15 +112,7 @@ except Exception as err:
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print(err)
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print("import baking related files fail, running without baking")
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BAKE_AVAILEBLE = False
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from glob import glob
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print(glob("/usr/local/cuda/*"))
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print(torch.cuda.is_available())
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print(os.environ.get('CUDA_HOME', None))
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os.environ['CUDA_HOME'] = '/usr/local/cuda'
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# Optionally, update PATH and LD_LIBRARY_PATH if needed
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os.environ['PATH'] = os.environ['CUDA_HOME'] + '/bin:' + os.environ['PATH']
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os.environ['LD_LIBRARY_PATH'] = os.environ['CUDA_HOME'] + '/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
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################################################################
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# initial setting
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import pandas as pd
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from huggingface_hub import snapshot_download
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import sys
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import subprocess
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from glob import glob
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@spaces.GPU
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def check_env():
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print(glob("/usr/local/cuda/*"))
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print(torch.cuda.is_available())
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print(os.environ.get('CUDA_HOME', None))
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os.environ['CUDA_HOME'] = '/usr/local/cuda'
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# Optionally, update PATH and LD_LIBRARY_PATH if needed
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os.environ['PATH'] = os.environ['CUDA_HOME'] + '/bin:' + os.environ['PATH']
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os.environ['LD_LIBRARY_PATH'] = os.environ['CUDA_HOME'] + '/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
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subprocess.check_call([sys.executable, "-m", "pip", "install", "git+https://github.com/NVlabs/nvdiffrast.git"])
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import nvdiffrast
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check_env()
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from infer import seed_everything, save_gif
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from infer import Text2Image, Removebg, Image2Views, Views2Mesh, GifRenderer
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from third_party.check import check_bake_available
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print(err)
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print("import baking related files fail, running without baking")
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BAKE_AVAILEBLE = False
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################################################################
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# initial setting
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