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| # ast template | ||
| ast_index_file.py | ||
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| { | ||
| "nbformat": 4, | ||
| "nbformat_minor": 0, | ||
| "metadata": { | ||
| "colab": { | ||
| "private_outputs": true, | ||
| "provenance": [], | ||
| "machine_shape": "hm", | ||
| "name": "facechain-demo.ipynb" | ||
| }, | ||
| "kernelspec": { | ||
| "name": "python3", | ||
| "display_name": "Python 3" | ||
| } | ||
| }, | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "Requirements:\n", | ||
| "- GPU Mem Usage: 19G\n", | ||
| "- Disk Usage: About 50G" | ||
| ], | ||
| "metadata": { | ||
| "id": "AzOycrSUkK-0" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "## Get facechain source code from GitHub" | ||
| ], | ||
| "metadata": { | ||
| "id": "8yQEWTkekIx9" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "!GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/modelscope/facechain.git --depth 1" | ||
| ], | ||
| "metadata": { | ||
| "id": "WK_uDw0NkHTP" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "## Installation requirements\n", | ||
| "- Note that you can ignore warning on dependencies conflicts at the end\n", | ||
| "- You may use conda virtual env to avoid warning info." | ||
| ], | ||
| "metadata": { | ||
| "id": "jUWWSGDG1ZGK" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "!pip3 install -r facechain/requirements.txt" | ||
| ], | ||
| "metadata": { | ||
| "id": "QrwRDBipxKZw" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "## Check environment informaiton" | ||
| ], | ||
| "metadata": { | ||
| "id": "0miaB1nC2VrA" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "!nvidia-smi\n", | ||
| "!pip3 show torch\n", | ||
| "\n", | ||
| "# Note that this setup is verified on (cuda 12.0, torch2.0.1+cu118, Nvidia-A100 40G)" | ||
| ], | ||
| "metadata": { | ||
| "id": "uvNE0kRxyI4q" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [], | ||
| "metadata": { | ||
| "id": "klba298h2bbu" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "## Installing mmcv-full\n", | ||
| "- Several of the underlying models depend on mmcv-full, which could be tricky to install since it is environment-dependent, you may refer to [mmcv's official documentation](https://mmcv.readthedocs.io/zh_CN/latest/get_started/installation.html) for more details..\n", | ||
| "- A prebuilt package is provided here for convenience, and was verified on (cuda 12.0, torch2.0.1+cu118, Nvidia-A100 40G)\n", | ||
| "- If the prebuilt package does not work on your env setup, please use the alternative installation as suggested by [mmcv's official documentation](https://mmcv.readthedocs.io/zh_CN/latest/get_started/)" | ||
| ], | ||
| "metadata": { | ||
| "id": "ciSxxSzI4l_u" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "# use prebuilt mmcv-full package provided by ModelScope (verified on cuda 12.0, torch2.0.1+cu118, Nvidia-A100 40G)\n", | ||
| "!pip3 install https://modelscope.oss-cn-beijing.aliyuncs.com/packages/mmcv/mmcv_full-1.7.0-cp310-cp310-linux_x86_64.whl\n", | ||
| "\n", | ||
| "\n", | ||
| "# alternative manual installtation. note that it may take 30+ mins for building dependencies.\n", | ||
| "# !pip3 install -U openmim\n", | ||
| "# !mim install mmcv-full==1.7.0\n" | ||
| ], | ||
| "metadata": { | ||
| "id": "t2lciBXyyuzA" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "source": [ | ||
| "## Start facechain WebUI service" | ||
| ], | ||
| "metadata": { | ||
| "id": "OxDgRY8H4vta" | ||
| } | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "import os\n", | ||
| "os.chdir('/path/to/facechain') # Note: replace with your facechain root\n", | ||
| "print(os.getcwd())\n", | ||
| "\n", | ||
| "# Click on the gradio URL to start building your FaceChain digital-twin!\n", | ||
| "!python3 app.py" | ||
| ], | ||
| "metadata": { | ||
| "id": "NW5o0iiezTCg" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [], | ||
| "metadata": { | ||
| "id": "Ghuyu_0Gx5XN" | ||
| }, | ||
| "execution_count": null, | ||
| "outputs": [] | ||
| } | ||
| ] | ||
| } |
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