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clone https://github.com/Roblox/cube" + ] + }, + { + "cell_type": "code", + "source": [ + "%cd /content/cube" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ENHjlVjDyAx5", + "outputId": "5a868d2a-59f6-455d-9d47-ec12b11bec99" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/cube\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!huggingface-cli download Roblox/cube3d-v0.1 --local-dir ./model_weights" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "6W4RbGhByEE5", + "outputId": "62734f6f-9064-43c1-e6ab-bb745dfac8b6" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\rFetching 6 files: 0% 0/6 [00:00=1.20 in /usr/local/lib/python3.11/dist-packages (from trimesh) (2.0.2)\n", + "Collecting antlr4-python3-runtime==4.9.* (from omegaconf)\n", + " Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m117.0/117.0 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Requirement already satisfied: PyYAML>=5.1.0 in /usr/local/lib/python3.11/dist-packages (from omegaconf) (6.0.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.18.0)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.26.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.29.3)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (24.2)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6)\n", + "Requirement already satisfied: requests in 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\u001b[32m127.4/127.4 MB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hBuilding wheels for collected packages: antlr4-python3-runtime\n", + " Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144555 sha256=49a1caff39bdb240ad5e4506dbaa73d98efd4085d8f5e9fdf3a8ef2f9786b911\n", + " Stored in directory: /root/.cache/pip/wheels/1a/97/32/461f837398029ad76911109f07047fde1d7b661a147c7c56d1\n", + "Successfully built antlr4-python3-runtime\n", + "Installing collected packages: antlr4-python3-runtime, warp-lang, trimesh, omegaconf\n", + "Successfully installed antlr4-python3-runtime-4.9.3 omegaconf-2.3.0 trimesh-4.6.5 warp-lang-1.6.2\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "pydevd_plugins" + ] + }, + "id": "a01de8989f3f4b47bc63c981631c89c3" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "%cd /content/cube" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Sm8Eu0t4y9Ls", + "outputId": "0eb36d15-9713-4432-95c6-6e9e64f88224" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/cube\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Create Inference Engine" + ], + "metadata": { + "id": "qg65EFHp0aiz" + } + }, + { + "cell_type": "code", + "source": [ + "from cube3d.inference.engine import Engine\n", + "import torch\n", + "# load ckpt\n", + "config_path = \"cube3d/configs/open_model.yaml\"\n", + "gpt_ckpt_path = \"model_weights/shape_gpt.safetensors\"\n", + "shape_ckpt_path = \"model_weights/shape_tokenizer.safetensors\"\n", + "engine = Engine(\n", + " config_path,\n", + " gpt_ckpt_path,\n", + " shape_ckpt_path,\n", + " device=torch.device(\"cuda\"),\n", + ")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 368, + "referenced_widgets": [ + "c94473c48d6f46d1882aa3a0a6c76842", + "d825b222efc04b76ba3fc80d26978b22", + "4141fad6cea3489abba17a568026f4a6", + "7b1c150524a24aaebb0f2f985939edc9", + "a88535250d3b49ef9d39ad7f94faa67e", + "fa8b6792d432433194b0494c523748fa", + "4bca5118a6894271a8d452f91d779e4d", + "f421eb4e19ef47fbb728487eee19a899", + "8587bb43a25e427890e51b371b37977c", + "ee73abd9d00d4160819d46ac6289ae7b", + "405c4ecec41f4f5b824e31d822a3d3a1", + "f28440704168450e8d7f8898355d4b37", + "dbd91d03c00d4b0aaa7490898ba5c4bf", + "79a2de46e1b147ce899e85008e110799", + "df3179415020435e8fedadc6a3357237", + "ad8b0cc37f2148a498b2098b6a6de9ea", + "6bf4535b6fbf449294e20cab7cef8b03", + "014b5433035b49c2873362e8248d6e96", + "c021e91153624b4ea42e54958e4a4f58", + "2314f83ab01946eb8a29fa2069628d31", + "1ac26a027f0e45eb8b03e9e953f53f71", + "0b1efd80a021434abe22ae00547ebf45", + 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