Hi, sorry to bother you, colab exit with this error:
/content
Cloning into 'Wonder3D-hf'...
remote: Enumerating objects: 174, done.
remote: Counting objects: 100% (174/174), done.
remote: Compressing objects: 100% (110/110), done.
remote: Total 174 (delta 61), reused 174 (delta 61), pack-reused 0
Receiving objects: 100% (174/174), 4.94 MiB | 22.58 MiB/s, done.
Resolving deltas: 100% (61/61), done.
Downloading ckpts/random_states_0.pkl (22 KB)
Error downloading object: ckpts/random_states_0.pkl (0b2bff2): Smudge error: Error downloading ckpts/random_states_0.pkl (0b2bff2cafd1c4c3f242e8ea15db5d00b5d7beb3774a43fba414a673ccbfa4a4): [0b2bff2cafd1c4c3f242e8ea15db5d00b5d7beb3774a43fba414a673ccbfa4a4] Object does not exist on the server: [404] Object does not exist on the server
Errors logged to /content/Wonder3D-hf/.git/lfs/logs/20240223T111320.161739467.log
Use git lfs logs last to view the log.
error: external filter 'git-lfs filter-process' failed
fatal: ckpts/random_states_0.pkl: smudge filter lfs failed
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry with 'git restore --source=HEAD :/'
/content/Wonder3D-hf
The following additional packages will be installed:
libaria2-0 libc-ares2
The following NEW packages will be installed:
aria2 libaria2-0 libc-ares2
0 upgraded, 3 newly installed, 0 to remove and 35 not upgraded.
Need to get 1,513 kB of archives.
After this operation, 5,441 kB of additional disk space will be used.
Selecting previously unselected package libc-ares2:amd64.
(Reading database ... 121749 files and directories currently installed.)
Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.2_amd64.deb ...
Unpacking libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ...
Selecting previously unselected package libaria2-0:amd64.
Preparing to unpack .../libaria2-0_1.36.0-1_amd64.deb ...
Unpacking libaria2-0:amd64 (1.36.0-1) ...
Selecting previously unselected package aria2.
Preparing to unpack .../aria2_1.36.0-1_amd64.deb ...
Unpacking aria2 (1.36.0-1) ...
Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ...
Setting up libaria2-0:amd64 (1.36.0-1) ...
Setting up aria2 (1.36.0-1) ...
Processing triggers for man-db (2.10.2-1) ...
Processing triggers for libc-bin (2.35-0ubuntu3.4) ...
/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link
Status Legend:
(OK):download completed.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.3/88.3 kB 1.5 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 11.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 105.0/105.0 MB 8.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.0/280.0 kB 30.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.9/16.9 MB 47.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.4/8.4 MB 58.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 92.1/92.1 kB 10.7 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 307.9/307.9 kB 32.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.6/75.6 kB 9.6 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.0/139.0 kB 16.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.8/7.8 MB 72.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/60.8 kB 7.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 129.9/129.9 kB 16.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.8/6.8 MB 64.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 6.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 195.4/195.4 kB 21.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.8/4.8 MB 70.6 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.0/83.0 kB 10.6 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.7/62.7 kB 8.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.8/77.8 kB 9.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 8.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 71.5/71.5 kB 9.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.0/46.0 kB 5.8 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 86.8/86.8 kB 10.9 MB/s eta 0:00:00
Building wheel for fire (setup.py) ... done
Building wheel for ffmpy (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 kB 1.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.5/79.5 kB 1.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.0/117.0 kB 6.7 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Building wheel for antlr4-python3-runtime (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 211.8/211.8 MB 6.0 MB/s eta 0:00:00
2024-02-23 11:15:47.922674: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-02-23 11:15:47.922732: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-02-23 11:15:47.924105: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-02-23 11:15:49.130217: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
image_encoder/config.json: 100% 703/703 [00:00<00:00, 3.17MB/s]
pytorch_model.bin: 100% 1.22G/1.22G [00:07<00:00, 169MB/s]
/usr/local/lib/python3.10/dist-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.get(instance, owner)()
(…)ature_extractor/preprocessor_config.json: 100% 518/518 [00:00<00:00, 2.76MB/s]
vae/config.json: 100% 595/595 [00:00<00:00, 3.34MB/s]
diffusion_pytorch_model.bin: 100% 335M/335M [00:01<00:00, 170MB/s]
scheduler/scheduler_config.json: 100% 308/308 [00:00<00:00, 1.83MB/s]
You have disabled the safety checker for <class 'mvdiffusion.pipelines.pipeline_mvdiffusion_image.MVDiffusionImagePipeline'> 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 https://github.com/huggingface/diffusers/pull/254 .
Traceback (most recent call last):
File "/content/Wonder3D-hf/gradio_app.py", line 345, in
fire.Fire(run_demo)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, kwargs)
File "/content/Wonder3D-hf/gradio_app.py", line 281, in run_demo
input_image = gr.Image(type='pil', image_mode='RGBA', height=320, label='Input image', tool=None)
File "/usr/local/lib/python3.10/dist-packages/gradio/component_meta.py", line 159, in wrapper
return fn(self, kwargs)
TypeError: Image.init() got an unexpected keyword argument 'tool'
Hi, sorry to bother you, colab exit with this error:
/content Cloning into 'Wonder3D-hf'... remote: Enumerating objects: 174, done. remote: Counting objects: 100% (174/174), done. remote: Compressing objects: 100% (110/110), done. remote: Total 174 (delta 61), reused 174 (delta 61), pack-reused 0 Receiving objects: 100% (174/174), 4.94 MiB | 22.58 MiB/s, done. Resolving deltas: 100% (61/61), done. Downloading ckpts/random_states_0.pkl (22 KB) Error downloading object: ckpts/random_states_0.pkl (0b2bff2): Smudge error: Error downloading ckpts/random_states_0.pkl (0b2bff2cafd1c4c3f242e8ea15db5d00b5d7beb3774a43fba414a673ccbfa4a4): [0b2bff2cafd1c4c3f242e8ea15db5d00b5d7beb3774a43fba414a673ccbfa4a4] Object does not exist on the server: [404] Object does not exist on the server
Errors logged to /content/Wonder3D-hf/.git/lfs/logs/20240223T111320.161739467.log Use
git lfs logs lastto view the log. error: external filter 'git-lfs filter-process' failed fatal: ckpts/random_states_0.pkl: smudge filter lfs failed warning: Clone succeeded, but checkout failed. You can inspect what was checked out with 'git status' and retry with 'git restore --source=HEAD :/'/content/Wonder3D-hf The following additional packages will be installed: libaria2-0 libc-ares2 The following NEW packages will be installed: aria2 libaria2-0 libc-ares2 0 upgraded, 3 newly installed, 0 to remove and 35 not upgraded. Need to get 1,513 kB of archives. After this operation, 5,441 kB of additional disk space will be used. Selecting previously unselected package libc-ares2:amd64. (Reading database ... 121749 files and directories currently installed.) Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.2_amd64.deb ... Unpacking libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ... Selecting previously unselected package libaria2-0:amd64. Preparing to unpack .../libaria2-0_1.36.0-1_amd64.deb ... Unpacking libaria2-0:amd64 (1.36.0-1) ... Selecting previously unselected package aria2. Preparing to unpack .../aria2_1.36.0-1_amd64.deb ... Unpacking aria2 (1.36.0-1) ... Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ... Setting up libaria2-0:amd64 (1.36.0-1) ... Setting up aria2 (1.36.0-1) ... Processing triggers for man-db (2.10.2-1) ... Processing triggers for libc-bin (2.35-0ubuntu3.4) ... /sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link
/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link
Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= e9c51a|OK | 2.5MiB/s|/content/Wonder3D-hf/ckpts/random_states_0.pkl
Status Legend: (OK):download completed.
Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= d830e2|OK | 77KiB/s|/content/Wonder3D-hf/ckpts/scaler.pt
Status Legend: (OK):download completed.
Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= 55726d|OK | 86KiB/s|/content/Wonder3D-hf/ckpts/scheduler.bin
Status Legend: (OK):download completed.
Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= 64c66f|OK | 151MiB/s|/content/Wonder3D-hf/ckpts/unet/diffusion_pytorch_model.bin
Status Legend: (OK):download completed.
Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= 144b53|OK | 240MiB/s|/content/Wonder3D-hf/sam_pt/sam_vit_h_4b8939.pth
Status Legend: (OK):download completed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.3/88.3 kB 1.5 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 11.1 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 105.0/105.0 MB 8.8 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.0/280.0 kB 30.2 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.9/16.9 MB 47.5 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.4/8.4 MB 58.3 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 92.1/92.1 kB 10.7 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 307.9/307.9 kB 32.3 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.6/75.6 kB 9.6 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.0/139.0 kB 16.1 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.8/7.8 MB 72.2 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/60.8 kB 7.8 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 129.9/129.9 kB 16.0 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.8/6.8 MB 64.1 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.0/53.0 kB 6.8 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 195.4/195.4 kB 21.8 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.8/4.8 MB 70.6 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.0/83.0 kB 10.6 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.7/62.7 kB 8.0 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.8/77.8 kB 9.9 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 8.1 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 71.5/71.5 kB 9.1 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.0/46.0 kB 5.8 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 86.8/86.8 kB 10.9 MB/s eta 0:00:00 Building wheel for fire (setup.py) ... done Building wheel for ffmpy (setup.py) ... done ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 kB 1.0 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.5/79.5 kB 1.9 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.0/117.0 kB 6.7 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done Building wheel for antlr4-python3-runtime (setup.py) ... done ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 211.8/211.8 MB 6.0 MB/s eta 0:00:00 2024-02-23 11:15:47.922674: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2024-02-23 11:15:47.922732: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 2024-02-23 11:15:47.924105: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2024-02-23 11:15:49.130217: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT image_encoder/config.json: 100% 703/703 [00:00<00:00, 3.17MB/s] pytorch_model.bin: 100% 1.22G/1.22G [00:07<00:00, 169MB/s] /usr/local/lib/python3.10/dist-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.get(instance, owner)() (…)ature_extractor/preprocessor_config.json: 100% 518/518 [00:00<00:00, 2.76MB/s] vae/config.json: 100% 595/595 [00:00<00:00, 3.34MB/s] diffusion_pytorch_model.bin: 100% 335M/335M [00:01<00:00, 170MB/s] scheduler/scheduler_config.json: 100% 308/308 [00:00<00:00, 1.83MB/s] You have disabled the safety checker for <class 'mvdiffusion.pipelines.pipeline_mvdiffusion_image.MVDiffusionImagePipeline'> by passing
fire.Fire(run_demo)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, kwargs)
File "/content/Wonder3D-hf/gradio_app.py", line 281, in run_demo
input_image = gr.Image(type='pil', image_mode='RGBA', height=320, label='Input image', tool=None)
File "/usr/local/lib/python3.10/dist-packages/gradio/component_meta.py", line 159, in wrapper
return fn(self, kwargs)
TypeError: Image.init() got an unexpected keyword argument 'tool'
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 https://github.com/huggingface/diffusers/pull/254 . Traceback (most recent call last): File "/content/Wonder3D-hf/gradio_app.py", line 345, inHope you can help