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Browse files- README.md +1 -1
- hg_app.py +1 -1
- hg_app_bak.py +11 -22
README.md
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@@ -5,7 +5,7 @@ colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version: 4.44.1
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app_file:
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pinned: false
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short_description: Text-to-3D and Image-to-3D Generation
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---
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colorTo: red
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sdk: gradio
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sdk_version: 4.44.1
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app_file: hg_app_bak.py
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pinned: false
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short_description: Text-to-3D and Image-to-3D Generation
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---
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hg_app.py
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# pip install gradio==4.44.1
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if
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import os
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import spaces
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import subprocess
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# pip install gradio==4.44.1
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if False:
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import os
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import spaces
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import subprocess
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hg_app_bak.py
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import os
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import spaces
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import subprocess
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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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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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install_cuda_toolkit()
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os.system("cd /home/user/app/hy3dgen/texgen/differentiable_renderer/ && bash compile_mesh_painter.sh")
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else:
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class spaces:
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class GPU:
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def __init__(self, duration=60):
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return txt_list
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def gen_save_folder(max_size=
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os.makedirs(SAVE_DIR, exist_ok=True)
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exists = set(int(_) for _ in os.listdir(SAVE_DIR) if not _.startswith("."))
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cur_id = min(set(range(max_size)) - exists) if len(exists) < max_size else -1
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face_reduce_worker = FaceReducer()
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demo = build_app()
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demo.queue().launch()
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import os
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import spaces
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import subprocess
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import sys
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import shlex
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print("cd /home/user/app/hy3dgen/texgen/differentiable_renderer/ && bash compile_mesh_painter.sh")
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os.system("cd /home/user/app/hy3dgen/texgen/differentiable_renderer/ && bash compile_mesh_painter.sh")
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print('install custom')
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subprocess.run(shlex.split("pip install custom_rasterizer-0.1-cp310-cp310-linux_x86_64.whl"), check=True)
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IP = "0.0.0.0"
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PORT = 7860
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else:
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IP = "0.0.0.0"
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PORT = 8080
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class spaces:
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class GPU:
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def __init__(self, duration=60):
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return txt_list
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def gen_save_folder(max_size=6000):
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os.makedirs(SAVE_DIR, exist_ok=True)
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exists = set(int(_) for _ in os.listdir(SAVE_DIR) if not _.startswith("."))
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cur_id = min(set(range(max_size)) - exists) if len(exists) < max_size else -1
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face_reduce_worker = FaceReducer()
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demo = build_app()
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demo.queue().launch(server_name=IP,server_port=PORT)
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