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[F glutil.cpp:332] eglGetDisplay() failed #119

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XinyuanUPC opened this issue Nov 26, 2024 · 2 comments
Open

[F glutil.cpp:332] eglGetDisplay() failed #119

XinyuanUPC opened this issue Nov 26, 2024 · 2 comments

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@XinyuanUPC
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The complete error message is as follows:
Warning:
Unable to load the following plugins:

    libio_e57.so: libio_e57.so does not seem to be a Qt Plugin.

Cannot load library /data2/xxx/.conda/envs/unique3d/lib/python3.11/site-packages/pymeshlab/lib/plugins/libio_e57.so: (/lib/x86_64-linux-gnu/libp11-kit.so.0: undefined symbol: ffi_type_pointer, version LIBFFI_BASE_7.0)

Warning! extra parameter in cli is not verified, may cause erros.
Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 273.77it/s]
You have disabled the safety checker for <class 'custum_3d_diffusion.custum_pipeline.unifield_pipeline_img2mvimg.StableDiffusionImage2MVCustomPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at huggingface/diffusers#254 .
Warning! extra parameter in cli is not verified, may cause erros.
An error occurred while trying to fetch lambdalabs/sd-image-variations-diffusers: lambdalabs/sd-image-variations-diffusers does not appear to have a file named diffusion_pytorch_model.safetensors.
Defaulting to unsafe serialization. Pass allow_pickle=False to raise an error instead.
An error occurred while trying to fetch lambdalabs/sd-image-variations-diffusers: lambdalabs/sd-image-variations-diffusers does not appear to have a file named diffusion_pytorch_model.safetensors.
Defaulting to unsafe serialization. Pass allow_pickle=False to raise an error instead.
An error occurred while trying to fetch lambdalabs/sd-image-variations-diffusers: lambdalabs/sd-image-variations-diffusers does not appear to have a file named diffusion_pytorch_model.safetensors.
Defaulting to unsafe serialization. Pass allow_pickle=False to raise an error instead.
Loading pipeline components...: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1282.43it/s]
You have disabled the safety checker for <class 'custum_3d_diffusion.custum_pipeline.unifield_pipeline_img2img.StableDiffusionImageCustomPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at huggingface/diffusers#254 .
/home/xxx/.conda/envs/unique3d/lib/python3.11/site-packages/torch/utils/cpp_extension.py:1967: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
warnings.warn(
[F glutil.cpp:332] eglGetDisplay() failed
Aborted (core dumped)

Has anyone encountered this situation? Is there a solution available?

@XinyuanUPC
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I have fixed the above error. Firstly, I gave up using HF to load the model and instead downloaded it directly into my model directory; Secondly, I also included the statement "self_ Change 'glctx=dr.MasterizeGLContext (output. db=False, device=device)' to 'self'_ Glctx=dr.MasterizeCudaContext (device=device) ". The latter is the key to solving the above error.

@XinyuanUPC
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Corresponding modifications also need to be made in 'mesh_deconstruction/render. py'.

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