Unity Technologies

company

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unity

community implementing Inference Engine here and the documentation here.

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Reason: \nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 559, in load_state_dict\n if f.read(7) == \"version\":\n File \"/usr/local/lib/python3.10/codecs.py\", line 322, in decode\n (result, consumed) = self._buffer_decode(data, self.errors, final)\nUnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/user/app/app.py\", line 20, in \n safety_checker = StableDiffusionSafetyChecker.from_pretrained(safety_model_id)\n File \"/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 288, in _wrapper\n return func(*args, **kwargs)\n File \"/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 5176, in from_pretrained\n ) = cls._load_pretrained_model(\n File \"/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 5442, in _load_pretrained_model\n load_state_dict(checkpoint_files[0], map_location=\"meta\", weights_only=weights_only).keys()\n File \"/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py\", line 571, in load_state_dict\n raise OSError(\nOSError: Unable to load weights from pytorch checkpoint file for '/home/user/.cache/huggingface/hub/models--CompVis--stable-diffusion-safety-checker/snapshots/cb41f3a270d63d454d385fc2e4f571c487c253c5/pytorch_model.bin' at '/home/user/.cache/huggingface/hub/models--CompVis--stable-diffusion-safety-checker/snapshots/cb41f3a270d63d454d385fc2e4f571c487c253c5/pytorch_model.bin'. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.\n\n\rmodel.safetensors: 0%| | 0.00/1.22G [00:00

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Fusing AI into games to do new and awesome things.

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Official Unity Technologies space for models and more. We provide validated models that we know import and run well in the Inference framework. They are pre-converted to our .sentis format, which can be directly imported into the Unity Editor.

We encourage you to validate your own models and post them with the "Unity-inference-engine" library tag. When you post with the Unity Inference Engine library tag, it's useful to include a C# script sample or linked repo of working code. You can find a great community implementing Inference Engine here and the documentation here.