{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "gpuType": "T4" }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "oy1PNAUSm0WA", "outputId": "3a104ee2-c442-4c3f-c3bf-7db703f99621" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Sat Sep 12 12:35:32 2026 \n", "+-----------------------------------------------------------------------------------------+\n", "| NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 |\n", "+-----------------------------------------+------------------------+----------------------+\n", "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", "| | | MIG M. |\n", "|=========================================+========================+======================|\n", "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", "| N/A 49C P8 12W / 70W | 0MiB / 15360MiB | 0% Default |\n", "| | | N/A |\n", "+-----------------------------------------+------------------------+----------------------+\n", "\n", "+-----------------------------------------------------------------------------------------+\n", "| Processes: |\n", "| GPU GI CI PID Type Process name GPU Memory |\n", "| ID ID Usage |\n", "|=========================================================================================|\n", "| No running processes found |\n", "+-----------------------------------------------------------------------------------------+\n" ] } ], "source": [ "!nvidia-smi\n" ] }, { "cell_type": "code", "source": [ "!apt-get update -qq && apt-get install -y -qq ffmpeg git wget\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HAOq2ZKRnblo", "outputId": "7efabf4f-5f7d-4fc6-a805-67f24d0878d5" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "W: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.\n", "W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://r2u.stat.illinois.edu/ubuntu noble InRelease' does not seem to provide it (sources.list entry misspelt?)\n" ] } ] }, { "cell_type": "code", "source": [ "%cd /content\n", "!rm -rf SadTalker\n", "!git clone https://github.com/OpenTalker/SadTalker.git\n", "%cd /content/SadTalker\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "WD9_M3O8nirT", "outputId": "ac2b034e-8aca-44f5-a253-eddf517fcc3f" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content\n", "Cloning into 'SadTalker'...\n", "remote: Enumerating objects: 1605, done.\u001b[K\n", "remote: Total 1605 (delta 0), reused 0 (delta 0), pack-reused 1605 (from 1)\u001b[K\n", "Receiving objects: 100% (1605/1605), 92.27 MiB | 17.52 MiB/s, done.\n", "Resolving deltas: 100% (804/804), done.\n", "/content/SadTalker\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install -q torch torchvision torchaudio\n" ], "metadata": { "id": "tVwLpc2Pnqh-" }, "execution_count": 4, "outputs": [] }, { "cell_type": "code", "source": [ "!pip install -q -r requirements.txt\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "uyL3bLXtnu_1", "outputId": "ab52e9c5-2ec7-417d-bc03-b9d56621d297" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.7/10.7 MB\u001b[0m \u001b[31m24.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n", " \n", " \u001b[31m×\u001b[0m \u001b[32mGetting requirements to build wheel\u001b[0m did not run successfully.\n", " \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n", " \u001b[31m╰─>\u001b[0m See above for output.\n", " \n", " \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25herror\n", "\u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n", "\n", "\u001b[31m×\u001b[0m \u001b[32mGetting requirements to build wheel\u001b[0m did not run successfully.\n", "\u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n", "\u001b[31m╰─>\u001b[0m See above for output.\n", "\n", "\u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install -q \"gradio==3.41.2\" TTS==0.13.3\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "o8335seen7m1", "outputId": "bac02c60-46da-4478-c1a2-be5e2dca81cb" }, "execution_count": 7, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[31mERROR: Ignored the following versions that require a different python version: 0.0.10.2 Requires-Python >=3.6.0, <3.9; 0.0.10.3 Requires-Python >=3.6.0, <3.9; 0.0.11 Requires-Python >=3.6.0, <3.9; 0.0.12 Requires-Python >=3.6.0, <3.9; 0.0.13.1 Requires-Python >=3.6.0, <3.9; 0.0.13.2 Requires-Python >=3.6.0, <3.9; 0.0.14.1 Requires-Python >=3.6.0, <3.9; 0.0.15 Requires-Python >=3.6.0, <3.9; 0.0.15.1 Requires-Python >=3.6.0, <3.9; 0.0.9 Requires-Python >=3.6.0, <3.9; 0.0.9.1 Requires-Python >=3.6.0, <3.9; 0.0.9.2 Requires-Python >=3.6.0, <3.9; 0.0.9a10 Requires-Python >=3.6.0, <3.9; 0.0.9a9 Requires-Python >=3.6.0, <3.9; 0.1.0 Requires-Python >=3.6.0, <3.10; 0.1.1 Requires-Python >=3.6.0, <3.10; 0.1.2 Requires-Python >=3.6.0, <3.10; 0.1.3 Requires-Python >=3.6.0, <3.10; 0.10.0 Requires-Python >=3.7.0, <3.11; 0.10.1 Requires-Python >=3.7.0, <3.11; 0.10.2 Requires-Python >=3.7.0, <3.11; 0.11.0 Requires-Python >=3.7.0, <3.11; 0.11.1 Requires-Python >=3.7.0, <3.11; 0.12.0 Requires-Python >=3.7.0, <3.11; 0.13.0 Requires-Python >=3.7.0, <3.11; 0.13.1 Requires-Python >=3.7.0, <3.11; 0.13.2 Requires-Python >=3.7.0, <3.11; 0.13.3 Requires-Python >=3.7.0, <3.11; 0.14.0 Requires-Python >=3.7.0, <3.11; 0.14.2 Requires-Python >=3.7.0, <3.11; 0.14.3 Requires-Python >=3.7.0, <3.11; 0.15.0 Requires-Python >=3.9.0, <3.12; 0.15.1 Requires-Python >=3.9.0, <3.12; 0.15.2 Requires-Python >=3.9.0, <3.12; 0.15.4 Requires-Python >=3.9.0, <3.12; 0.15.5 Requires-Python >=3.9.0, <3.12; 0.15.6 Requires-Python >=3.9.0, <3.12; 0.16.0 Requires-Python >=3.9.0, <3.12; 0.16.1 Requires-Python >=3.9.0, <3.12; 0.16.3 Requires-Python >=3.9.0, <3.12; 0.16.4 Requires-Python >=3.9.0, <3.12; 0.16.5 Requires-Python >=3.9.0, <3.12; 0.16.6 Requires-Python >=3.9.0, <3.12; 0.17.0 Requires-Python >=3.9.0, <3.12; 0.17.1 Requires-Python >=3.9.0, <3.12; 0.17.2 Requires-Python >=3.9.0, <3.12; 0.17.4 Requires-Python >=3.9.0, <3.12; 0.17.5 Requires-Python >=3.9.0, <3.12; 0.17.6 Requires-Python >=3.9.0, <3.12; 0.17.7 Requires-Python >=3.9.0, <3.12; 0.17.8 Requires-Python >=3.9.0, <3.12; 0.17.9 Requires-Python >=3.9.0, <3.12; 0.18.0 Requires-Python >=3.9.0, <3.12; 0.18.1 Requires-Python >=3.9.0, <3.12; 0.18.2 Requires-Python >=3.9.0, <3.12; 0.19.0 Requires-Python >=3.9.0, <3.12; 0.19.1 Requires-Python >=3.9.0, <3.12; 0.2.0 Requires-Python >=3.6.0, <3.10; 0.2.1 Requires-Python >=3.6.0, <3.10; 0.2.2 Requires-Python >=3.6.0, <3.10; 0.20.0 Requires-Python >=3.9.0, <3.12; 0.20.1 Requires-Python >=3.9.0, <3.12; 0.20.2 Requires-Python >=3.9.0, <3.12; 0.20.3 Requires-Python >=3.9.0, <3.12; 0.20.4 Requires-Python >=3.9.0, <3.12; 0.20.5 Requires-Python >=3.9.0, <3.12; 0.20.6 Requires-Python >=3.9.0, <3.12; 0.21.0 Requires-Python >=3.9.0, <3.12; 0.21.1 Requires-Python >=3.9.0, <3.12; 0.21.2 Requires-Python >=3.9.0, <3.12; 0.21.3 Requires-Python >=3.9.0, <3.12; 0.22.0 Requires-Python >=3.9.0, <3.12; 0.3.0 Requires-Python >=3.6.0, <3.10; 0.3.1 Requires-Python >=3.6.0, <3.10; 0.4.0 Requires-Python >=3.6.0, <3.10; 0.4.1 Requires-Python >=3.6.0, <3.10; 0.4.2 Requires-Python >=3.6.0, <3.10; 0.5.0 Requires-Python >=3.6.0, <3.10; 0.6.0 Requires-Python >=3.6.0, <3.10; 0.6.1 Requires-Python >=3.6.0, <3.10; 0.6.2 Requires-Python >=3.6.0, <3.10; 0.7.0 Requires-Python >=3.7.0, <3.11; 0.7.1 Requires-Python >=3.7.0, <3.11; 0.8.0 Requires-Python >=3.7.0, <3.11; 0.9.0 Requires-Python >=3.7.0, <3.11\u001b[0m\u001b[31m\n", "\u001b[0m\u001b[31mERROR: Could not find a version that satisfies the requirement TTS==0.13.3 (from versions: none)\u001b[0m\u001b[31m\n", "\u001b[0m\u001b[31mERROR: No matching distribution found for TTS==0.13.3\u001b[0m\u001b[31m\n", "\u001b[0m" ] } ] }, { "cell_type": "code", "source": [ "!sed -i 's/from torchvision.transforms.functional_tensor import rgb_to_grayscale/from torchvision.transforms.functional import rgb_to_grayscale/' /usr/local/lib/python3.*/dist-packages/basicsr/data/degradations.py || true\n", "print(\"Dependencies installed and BasicSR patch applied successfully!\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Q6bXFQ4noALk", "outputId": "e5ec3e05-61f3-4266-efce-3f2f8d2cc55c" }, "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "sed: can't read /usr/local/lib/python3.*/dist-packages/basicsr/data/degradations.py: No such file or directory\n", "Dependencies installed and BasicSR patch applied successfully!\n" ] } ] }, { "cell_type": "code", "source": [ "%cd /content/SadTalker" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "xDoVpXKdoHIq", "outputId": "ccd0de32-933c-4276-c331-f77710d707a5" }, "execution_count": 9, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/SadTalker\n" ] } ] }, { "cell_type": "code", "source": [ "!bash scripts/download_models.sh\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_ZZ9V4dxoInp", "outputId": "8591938d-9be1-4201-bde7-db256aa15fae" }, "execution_count": 10, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "--2026-09-12 12:38:47-- https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar\n", "Resolving github.com (github.com)... 20.205.243.166\n", "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: 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(release-assets.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n", "Connecting to release-assets.githubusercontent.com (release-assets.githubusercontent.com)|185.199.108.133|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 85331193 (81M) [application/octet-stream]\n", "Saving to: ‘./gfpgan/weights/parsing_parsenet.pth’\n", "\n", "./gfpgan/weights/pa 100%[===================>] 81.38M 359MB/s in 0.2s \n", "\n", "2026-09-12 12:39:26 (359 MB/s) - ‘./gfpgan/weights/parsing_parsenet.pth’ saved [85331193/85331193]\n", "\n" ] } ] }, { "cell_type": "code", "source": [ "%cd /content/SadTalker\n", "!python app_sadtalker.py --share\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pzwUt_PsoZJP", "outputId": "9615f2e4-010d-4d6f-d74f-360bdc1f21a8" }, "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/SadTalker\n", "Traceback (most recent call last):\n", " File \u001b[35m\"/content/SadTalker/app_sadtalker.py\"\u001b[0m, line \u001b[35m3\u001b[0m, in \u001b[35m\u001b[0m\n", " from src.gradio_demo import SadTalker\n", " File \u001b[35m\"/content/SadTalker/src/gradio_demo.py\"\u001b[0m, line \u001b[35m3\u001b[0m, in \u001b[35m\u001b[0m\n", " from src.utils.preprocess import CropAndExtract\n", " File \u001b[35m\"/content/SadTalker/src/utils/preprocess.py\"\u001b[0m, line \u001b[35m9\u001b[0m, in \u001b[35m\u001b[0m\n", " from src.face3d.util.preprocess import align_img\n", " File \u001b[35m\"/content/SadTalker/src/face3d/util/preprocess.py\"\u001b[0m, line \u001b[35m12\u001b[0m, in \u001b[35m\u001b[0m\n", " warnings.filterwarnings(\"ignore\", category=\u001b[1;31mnp.VisibleDeprecationWarning\u001b[0m)\n", " \u001b[1;31m^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\n", " File \u001b[35m\"/usr/local/lib/python3.13/dist-packages/numpy/__init__.py\"\u001b[0m, line \u001b[35m414\u001b[0m, in \u001b[35m__getattr__\u001b[0m\n", " raise AttributeError(\"module {!r} has no attribute \"\n", " \"{!r}\".format(__name__, attr))\n", "\u001b[1;35mAttributeError\u001b[0m: \u001b[35mmodule 'numpy' has no attribute 'VisibleDeprecationWarning'\u001b[0m\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install virtualenv\n", "!virtualenv sadtalk_env --clear" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MU5IQ0SSoiao", "outputId": "ed986079-3515-422f-f6c1-400b25e99a33" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting virtualenv\n", " Downloading virtualenv-21.7.9-py3-none-any.whl.metadata (3.5 kB)\n", "Collecting distlib<1,>=0.3.7 (from virtualenv)\n", " Downloading distlib-0.4.3-py2.py3-none-any.whl.metadata (5.3 kB)\n", "Requirement already satisfied: filelock<4,>=3.24.2 in /usr/local/lib/python3.13/dist-packages (from virtualenv) (3.32.5)\n", "Requirement already satisfied: platformdirs<5,>=3.9.1 in /usr/local/lib/python3.13/dist-packages (from virtualenv) (4.11.7)\n", "Collecting python-discovery>=1.6 (from virtualenv)\n", " Downloading python_discovery-1.6.0-py3-none-any.whl.metadata (5.1 kB)\n", "Downloading virtualenv-21.7.9-py3-none-any.whl (5.3 MB)\n", "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/5.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m194.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m110.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading distlib-0.4.3-py2.py3-none-any.whl (470 kB)\n", "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/470.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K 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torchvision==0.15.2 torchaudio==2.0.2 \\\n", "facexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\n", "opencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\n", "safetensors pydub librosa" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "lWTzzDVRpNUQ", "outputId": "dde63c14-8059-4a85-8400-424864ff3150" }, "execution_count": 15, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting numpy==1.23.5\n", " Downloading numpy-1.23.5.tar.gz (10.7 MB)\n", " ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.7/10.7 MB 106.0 MB/s 0:00:00\n", " Installing build dependencies: started\n", " Installing build dependencies: finished with status 'done'\n", " Getting requirements to build wheel: started\n", " Getting requirements to build wheel: finished with status 'done'\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "ERROR: Exception:\n", "Traceback (most recent call last):\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/cli/base_command.py\", line 109, in _run_wrapper\n", " status = _inner_run()\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/cli/base_command.py\", line 102, in _inner_run\n", " return self.run(options, args)\n", " ~~~~~~~~^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/cli/req_command.py\", line 106, in wrapper\n", " return func(self, options, args)\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/commands/install.py\", line 478, in run\n", " requirement_set = resolver.resolve(\n", " reqs, check_supported_wheels=not options.target_dir\n", " )\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/resolver.py\", line 103, in resolve\n", " result = self._result = resolver.resolve(\n", " ~~~~~~~~~~~~~~~~^\n", " collected.requirements, max_rounds=limit_how_complex_resolution_can_be\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py\", line 601, in resolve\n", " state = resolution.resolve(requirements, max_rounds=max_rounds)\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py\", line 434, in resolve\n", " self._add_to_criteria(self.state.criteria, r, parent=None)\n", " ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py\", line 150, in _add_to_criteria\n", " if not criterion.candidates:\n", " ^^^^^^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/resolvelib/structs.py\", line 194, in __bool__\n", " return bool(self._sequence)\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py\", line 165, in __bool__\n", " self._bool = any(self)\n", " ~~~^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py\", line 149, in \n", " return (c for c in iterator if id(c) not in self._incompatible_ids)\n", " ^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py\", line 39, in _iter_built\n", " candidate = func()\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/factory.py\", line 181, in _make_candidate_from_link\n", " base: BaseCandidate | None = self._make_base_candidate_from_link(\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n", " link, template, name, version\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/factory.py\", line 227, in _make_base_candidate_from_link\n", " self._link_candidate_cache[link] = LinkCandidate(\n", " ~~~~~~~~~~~~~^\n", " link,\n", " ^^^^^\n", " ...<3 lines>...\n", " version=version,\n", " ^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/candidates.py\", line 325, in __init__\n", " super().__init__(\n", " ~~~~~~~~~~~~~~~~^\n", " link=link,\n", " ^^^^^^^^^^\n", " ...<4 lines>...\n", " version=version,\n", " ^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/candidates.py\", line 167, in __init__\n", " self.dist = self._prepare()\n", " ~~~~~~~~~~~~~^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/candidates.py\", line 245, in _prepare\n", " dist = self._prepare_distribution()\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/resolution/resolvelib/candidates.py\", line 336, in _prepare_distribution\n", " return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/operations/prepare.py\", line 664, in prepare_linked_requirement\n", " return self._prepare_linked_requirement(req, parallel_builds)\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/operations/prepare.py\", line 783, in _prepare_linked_requirement\n", " dist = _get_prepared_distribution(\n", " req,\n", " ...<4 lines>...\n", " self.allow_editables,\n", " )\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/operations/prepare.py\", line 82, in _get_prepared_distribution\n", " abstract_dist.prepare_distribution_metadata(\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n", " build_env_installer, build_isolation, check_build_deps, allow_editables\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/distributions/sdist.py\", line 63, in prepare_distribution_metadata\n", " self._install_build_reqs(\n", " ~~~~~~~~~~~~~~~~~~~~~~~~^\n", " build_env_installer, build_isolation, allow_editables=allow_editables\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/distributions/sdist.py\", line 159, in _install_build_reqs\n", " build_reqs = self._get_build_requires_wheel()\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/distributions/sdist.py\", line 131, in _get_build_requires_wheel\n", " return backend.get_requires_for_build_wheel()\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_internal/utils/misc.py\", line 734, in get_requires_for_build_wheel\n", " return super().get_requires_for_build_wheel(config_settings=cs)\n", " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/pyproject_hooks/_impl.py\", line 196, in get_requires_for_build_wheel\n", " return self._call_hook(\n", " ~~~~~~~~~~~~~~~^\n", " \"get_requires_for_build_wheel\", {\"config_settings\": config_settings}\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " )\n", " ^\n", " File \"/content/SadTalker/sadtalk_env/lib/python3.13/site-packages/pip/_vendor/pyproject_hooks/_impl.py\", line 402, in _call_hook\n", " raise BackendUnavailable(\n", " ...<4 lines>...\n", " )\n", "pip._vendor.pyproject_hooks._impl.BackendUnavailable: Cannot import 'setuptools.build_meta'\n" ] }, { "output_type": "error", "ename": "CalledProcessError", "evalue": "Command 'b'source sadtalk_env/bin/activate\\n\\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'' returned non-zero exit status 2.", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_888/1816957546.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'bash'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'source sadtalk_env/bin/activate\\n\\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/google/colab/_shell.py\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[0mcell\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m' '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 223\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmagic_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 225\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/IPython/core/interactiveshell.py\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 2471\u001b[0m \u001b[0;32mwith\u001b[0m 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in \u001b[0;36mnamed_script_magic\u001b[0;34m(line, cell)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mscript\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshebang\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 143\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 144\u001b[0m \u001b[0;31m# write a basic docstring:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m\u001b[0m in \u001b[0;36mshebang\u001b[0;34m(self, line, cell)\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/IPython/core/magic.py\u001b[0m in \u001b[0;36m\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mto_close\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mCalledProcessError\u001b[0m: Command 'b'source sadtalk_env/bin/activate\\n\\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'' returned non-zero exit status 2." ] } ] }, { "cell_type": "code", "source": [ "%%bash\n", "# 1. Download and install Miniconda quietly inside Colab\n", "wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n", "bash Miniconda3-latest-Linux-x86_64.sh -b -p /content/miniconda3\n", "rm Miniconda3-latest-Linux-x86_64.sh\n", "\n", "# 2. Activate the base conda environment and create a Python 3.8 environment\n", "source /content/miniconda3/bin/activate\n", "conda create -n sadtalker python=3.8 -y\n", "\n", "# 3. Activate the new environment\n", "source /content/miniconda3/bin/activate sadtalker\n", "\n", "# 4. Install the exact requirements\n", "pip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\n", "facexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\n", "opencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\n", "safetensors pydub librosa" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "nqVAVRoxp6nh", "outputId": "eec0d316-23fa-4c1a-8934-18b55f3d0586" }, "execution_count": 16, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "PREFIX=/content/miniconda3\n", "Unpacking bootstrapper...\n", "Unpacking payload...\n", "\n", "Installing base environment...\n", "\n", "Preparing transaction: ...working... done\n", "Executing transaction: ...working... done\n", "installation finished.\n", "WARNING:\n", " You currently have a PYTHONPATH environment variable set. This may cause\n", " unexpected behavior when running the Python interpreter in Miniconda3.\n", " For best results, please verify that your PYTHONPATH only points to\n", " directories of packages that are compatible with the Python interpreter\n", " in Miniconda3: /content/miniconda3\n", "Jupyter detected...\n", "Collecting numpy==1.23.5\n", " Using cached numpy-1.23.5.tar.gz (10.7 MB)\n", " Installing build dependencies: started\n", " Installing build dependencies: finished with status 'done'\n", " Getting requirements to build wheel: started\n", " Getting requirements to build wheel: finished with status 'error'\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "\n", "CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before proceeding:\n", " - https://repo.anaconda.com/pkgs/main\n", " - https://repo.anaconda.com/pkgs/r\n", "\n", "To accept these channels' Terms of Service, run the following commands:\n", " conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main\n", " conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r\n", "\n", "For information on safely removing channels from your conda configuration,\n", "please see the official documentation:\n", "\n", " https://www.anaconda.com/docs/tools/working-with-conda/channels\n", "\n", "\n", "EnvironmentNameNotFound: Could not find conda environment: sadtalker\n", "You can list all discoverable environments with `conda info --envs`.\n", "\n", "\n", " error: subprocess-exited-with-error\n", " \n", " × Getting requirements to build wheel did not run successfully.\n", " │ exit code: 1\n", " ╰─> No available output.\n", " \n", " note: This error originates from a subprocess, and is likely not a problem with pip.\n", "ERROR: Failed to build 'numpy' when getting requirements to build wheel\n" ] }, { "output_type": "error", "ename": "CalledProcessError", "evalue": "Command 'b'# 1. Download and install Miniconda quietly inside Colab\\nwget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\\nbash Miniconda3-latest-Linux-x86_64.sh -b -p /content/miniconda3\\nrm Miniconda3-latest-Linux-x86_64.sh\\n\\n# 2. Activate the base conda environment and create a Python 3.8 environment\\nsource /content/miniconda3/bin/activate\\nconda create -n sadtalker python=3.8 -y\\n\\n# 3. Activate the new environment\\nsource /content/miniconda3/bin/activate sadtalker\\n\\n# 4. Install the exact requirements \\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'' returned non-zero exit status 1.", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_888/1666524575.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'bash'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'# 1. Download and install Miniconda quietly inside Colab\\nwget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\\nbash Miniconda3-latest-Linux-x86_64.sh -b -p /content/miniconda3\\nrm Miniconda3-latest-Linux-x86_64.sh\\n\\n# 2. Activate the base conda environment and create a Python 3.8 environment\\nsource /content/miniconda3/bin/activate\\nconda create -n sadtalker python=3.8 -y\\n\\n# 3. Activate the new environment\\nsource /content/miniconda3/bin/activate sadtalker\\n\\n# 4. Install the exact requirements \\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/google/colab/_shell.py\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[0mcell\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m' '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 223\u001b[0;31m \u001b[0;32mreturn\u001b[0m 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"\u001b[0;32m/usr/local/lib/python3.13/dist-packages/IPython/core/magics/script.py\u001b[0m in \u001b[0;36mshebang\u001b[0;34m(self, line, cell)\u001b[0m\n\u001b[1;32m 243\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstderr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 244\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_error\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m\u001b[0;34m!=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 245\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mCalledProcessError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_script\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_close\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mCalledProcessError\u001b[0m: Command 'b'# 1. Download and install Miniconda quietly inside Colab\\nwget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\\nbash Miniconda3-latest-Linux-x86_64.sh -b -p /content/miniconda3\\nrm Miniconda3-latest-Linux-x86_64.sh\\n\\n# 2. Activate the base conda environment and create a Python 3.8 environment\\nsource /content/miniconda3/bin/activate\\nconda create -n sadtalker python=3.8 -y\\n\\n# 3. Activate the new environment\\nsource /content/miniconda3/bin/activate sadtalker\\n\\n# 4. Install the exact requirements \\npip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\\\\nfacexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\\\\nopencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\\\\nsafetensors pydub librosa\\n'' returned non-zero exit status 1." ] } ] }, { "cell_type": "code", "source": [ "%%bash\n", "# Automatically accept Conda's Terms of Service for non-interactive Colab environments\n", "export CONDA_PLUGINS_AUTO_ACCEPT_TOS=true\n", "\n", "# 1. Download and install Miniconda quietly inside Colab\n", "wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n", "bash Miniconda3-latest-Linux-x86_64.sh -b -p /content/miniconda3\n", "rm Miniconda3-latest-Linux-x86_64.sh\n", "\n", "# 2. Activate the base conda environment and create a Python 3.8 environment\n", "source /content/miniconda3/bin/activate\n", "conda create -n sadtalker python=3.8 -y\n", "\n", "# 3. Activate the new environment\n", "source /content/miniconda3/bin/activate sadtalker\n", "\n", "# 4. Install the exact requirements\n", "pip install numpy==1.23.5 torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 \\\n", "facexlib==0.3.0 gfpgan insightface onnxruntime moviepy \\\n", "opencv-python-headless imageio[ffmpeg] yacs kornia gtts \\\n", "safetensors pydub librosa" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "C89hUoUGqjth", "outputId": "2dfec457-47a5-48d9-a0e6-616ad4fd3c52" }, "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Jupyter detected...\n", "By accessing https://repo.anaconda.com/pkgs/main with auto acceptance enabled \n", "(auto_accept_tos=True) for this repository you acknowledge and agree to the \n", "Terms of Service:\n", "ANACONDA TERMS OF SERVICE\n", "Effective Date: July 15, 2025\n", "\n", "See https://anaconda.com/legal/terms/terms-of-service\n", "By accessing https://repo.anaconda.com/pkgs/r with auto acceptance enabled \n", "(auto_accept_tos=True) for this repository you acknowledge and agree to the \n", "Terms of Service:\n", "ANACONDA TERMS OF SERVICE\n", "Effective Date: July 15, 2025\n", "\n", "See https://anaconda.com/legal/terms/terms-of-service\n", "2 channel Terms of Service accepted\n", "Retrieving notices: ...working... done\n", "Channels:\n", " - defaults\n", "Platform: linux-64\n", "Collecting package metadata (repodata.json): ...working... done\n", "Solving environment: ...working... done\n", "\n", "## Package Plan ##\n", "\n", " environment location: /content/miniconda3/envs/sadtalker\n", "\n", " added / updated specs:\n", " - python=3.8\n", "\n", "\n", "The following packages will be downloaded:\n", "\n", " package | build\n", " ---------------------------|-----------------\n", " openssl-3.5.8 | h1b28b03_0 5.5 MB\n", " pip-24.2 | py38h06a4308_0 2.2 MB\n", " python-3.8.20 | he870216_0 23.8 MB\n", " setuptools-75.1.0 | py38h06a4308_0 1.7 MB\n", " sqlite-3.53.4 | h795bf6d_0 1.2 MB\n", " tk-8.6.15 | h54e0aa7_0 3.4 MB\n", " wheel-0.44.0 | py38h06a4308_0 108 KB\n", " ------------------------------------------------------------\n", " Total: 37.9 MB\n", "\n", "The following NEW packages will be INSTALLED:\n", "\n", " _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main \n", " _openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-52_gnu \n", " ca-certificates pkgs/main/linux-64::ca-certificates-2026.8.13-h06a4308_0 \n", " ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.44-h9e0c5a2_3 \n", " libffi pkgs/main/linux-64::libffi-3.4.8-h06d3fd0_3 \n", " libgcc pkgs/main/linux-64::libgcc-15.2.0-h69a1729_8 \n", " libgcc-ng pkgs/main/linux-64::libgcc-ng-15.2.0-h166f726_8 \n", " libstdcxx pkgs/main/linux-64::libstdcxx-15.2.0-h39759b7_8 \n", " libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-15.2.0-hc03a8fd_8 \n", " libxcb pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 \n", " libzlib pkgs/main/linux-64::libzlib-1.3.2-h47b2149_0 \n", " ncurses pkgs/main/linux-64::ncurses-6.6-hfaaeb4e_0 \n", " openssl pkgs/main/linux-64::openssl-3.5.8-h1b28b03_0 \n", " pip pkgs/main/linux-64::pip-24.2-py38h06a4308_0 \n", " pthread-stubs pkgs/main/linux-64::pthread-stubs-0.3-h47b2149_2 \n", " python pkgs/main/linux-64::python-3.8.20-he870216_0 \n", " readline pkgs/main/linux-64::readline-8.3-hc2a1206_0 \n", " setuptools pkgs/main/linux-64::setuptools-75.1.0-py38h06a4308_0 \n", " sqlite pkgs/main/linux-64::sqlite-3.53.4-h795bf6d_0 \n", " tk pkgs/main/linux-64::tk-8.6.15-h54e0aa7_0 \n", " wheel pkgs/main/linux-64::wheel-0.44.0-py38h06a4308_0 \n", " xorg-libx11 pkgs/main/linux-64::xorg-libx11-1.8.13-h65de747_0 \n", " xorg-libxau pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 \n", " xorg-libxdmcp pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 \n", " xorg-xorgproto pkgs/main/linux-64::xorg-xorgproto-2025.1-h47b2149_0 \n", " xz pkgs/main/linux-64::xz-5.8.2-h448239c_0 \n", " zlib pkgs/main/linux-64::zlib-1.3.2-h47b2149_0 \n", "\n", "\n", "\n", "Downloading and Extracting Packages: ...working... done\n", "Preparing transaction: ...working... done\n", "Verifying transaction: ...working... done\n", "Executing transaction: ...working... done\n", "#\n", "# To activate this environment, use\n", "#\n", "# $ conda activate sadtalker\n", "#\n", "# To deactivate an active environment, use\n", "#\n", "# $ conda deactivate\n", "\n", "\n", "Channel \"defaults\" has the following notices:\n", " [info] -- Thu Aug 6 00:00:00 2026\n", " main-x (Anaconda's new authenticated channel) is now generally available, with thousands of additional packages from our secure supply chain. Get started at: https://anaconda.com/docs/getting-started/main-x?utm_source=channel_notices\n", "\n", "Collecting numpy==1.23.5\n", " Downloading numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)\n", "Collecting torch==2.0.1\n", " Downloading torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl.metadata (24 kB)\n", "Collecting torchvision==0.15.2\n", " Downloading torchvision-0.15.2-cp38-cp38-manylinux1_x86_64.whl.metadata (11 kB)\n", "Collecting torchaudio==2.0.2\n", " Downloading torchaudio-2.0.2-cp38-cp38-manylinux1_x86_64.whl.metadata (1.2 kB)\n", "Collecting facexlib==0.3.0\n", " Downloading facexlib-0.3.0-py3-none-any.whl.metadata (4.6 kB)\n", "Collecting gfpgan\n", " Downloading gfpgan-1.3.8-py3-none-any.whl.metadata (12 kB)\n", "Collecting insightface\n", " Downloading insightface-1.0.1-py3-none-any.whl.metadata (11 kB)\n", "Collecting onnxruntime\n", " Downloading onnxruntime-1.19.2-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata 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wheel for moviepy: filename=moviepy-1.0.3-py3-none-any.whl size=110711 sha256=a59d506eab44fc779e6be18c9362126c355b551e4b2d52937919492fc8d1915f\n", " Stored in directory: /root/.cache/pip/wheels/e4/a4/db/0368d3a04033da662e13926594b3a8cf1aa4ffeefe570cfac1\n", " Building wheel for basicsr (setup.py): started\n", " Building wheel for basicsr (setup.py): finished with status 'done'\n", " Created wheel for basicsr: filename=basicsr-1.4.2-py3-none-any.whl size=214816 sha256=a38e7091c2465d7961894276540d81af48cc47d4346f9de6f44244d6ec9bad97\n", " Stored in directory: /root/.cache/pip/wheels/4d/d3/95/e17d0bcdd7dcfb0dbf79db006711e434c42036efbf6695ef7f\n", " Building wheel for filterpy (setup.py): started\n", " Building wheel for filterpy (setup.py): finished with status 'done'\n", " Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110458 sha256=bd013a6370e214e79d18c48c8dafdbfbe4ac44d652308bb391f427b48b6c3aeb\n", " Stored in directory: /root/.cache/pip/wheels/fe/f6/cb/40331472edf4fd399b8cad02973c6acbdf26898342928327fe\n", " Building wheel for lmdb (pyproject.toml): started\n", " Building wheel for lmdb (pyproject.toml): finished with status 'done'\n", " Created wheel for lmdb: filename=lmdb-2.1.1-cp38-cp38-linux_x86_64.whl size=318963 sha256=68b447892fc7308f97eac75455b14ea1865f0610a0cb48e276a09eff38babb65\n", " Stored in directory: /root/.cache/pip/wheels/64/ab/77/d70291497bb08539212667abb567e24e96ca1757f48d285eee\n", "Successfully built moviepy basicsr filterpy lmdb\n", "Installing collected packages: pydub, mpmath, lmdb, lit, flatbuffers, addict, zipp, urllib3, typing-extensions, tqdm, tomli, threadpoolctl, tensorboard-data-server, sympy, six, safetensors, pyyaml, pyparsing, pycparser, pyasn1, psutil, protobuf, platformdirs, pillow, packaging, oauthlib, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numpy, networkx, msgpack, MarkupSafe, llvmlite, kornia-rs, kiwisolver, joblib, imageio_ffmpeg, idna, humanfriendly, grpcio, future, fonttools, filelock, decorator, cycler, cmake, click, charset_normalizer, certifi, audioread, absl-py, yapf, yacs, werkzeug, tifffile, soxr, scipy, requests, PyWavelets, python-dateutil, pyasn1-modules, proglog, opencv-python-headless, opencv-python, onnx, nvidia-cusolver-cu11, nvidia-cudnn-cu11, lazy_loader, jinja2, importlib-resources, importlib-metadata, imageio, contourpy, coloredlogs, cffi, soundfile, scikit-learn, scikit-image, requests-oauthlib, pooch, onnxruntime, numba, moviepy, matplotlib, markdown, gtts, cryptography, librosa, insightface, google-auth, filterpy, google-auth-oauthlib, tb-nightly, triton, torch, torchvision, facexlib, basicsr, torchaudio, kornia, gfpgan\n", "Successfully installed MarkupSafe-2.1.5 PyWavelets-1.4.1 absl-py-2.3.1 addict-2.4.0 audioread-3.0.1 basicsr-1.4.2 certifi-2026.7.22 cffi-1.17.1 charset_normalizer-3.5.1 click-8.1.8 cmake-4.4.3 coloredlogs-15.0.1 contourpy-1.1.1 cryptography-47.0.0 cycler-0.12.1 decorator-4.4.2 facexlib-0.3.0 filelock-3.16.1 filterpy-1.4.5 flatbuffers-25.12.19 fonttools-4.57.0 future-1.0.0 gfpgan-1.3.8 google-auth-2.50.0 google-auth-oauthlib-1.0.0 grpcio-1.70.0 gtts-2.5.4 humanfriendly-10.0 idna-3.15 imageio-2.35.1 imageio_ffmpeg-0.5.1 importlib-metadata-8.5.0 importlib-resources-6.4.5 insightface-1.0.1 jinja2-3.1.6 joblib-1.4.2 kiwisolver-1.4.7 kornia-0.7.3 kornia-rs-0.1.14 lazy_loader-0.4 librosa-0.11.0 lit-23.1.1 llvmlite-0.41.1 lmdb-2.1.1 markdown-3.7 matplotlib-3.7.5 moviepy-1.0.3 mpmath-1.3.0 msgpack-1.1.1 networkx-3.1 numba-0.58.1 numpy-1.23.5 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 oauthlib-3.3.1 onnx-1.17.0 onnxruntime-1.19.2 opencv-python-5.0.0.93 opencv-python-headless-5.0.0.93 packaging-26.2 pillow-10.4.0 platformdirs-4.3.6 pooch-1.8.2 proglog-0.1.12 protobuf-5.29.6 psutil-7.2.2 pyasn1-0.6.4 pyasn1-modules-0.4.2 pycparser-2.23 pydub-0.25.1 pyparsing-3.1.4 python-dateutil-2.9.0.post0 pyyaml-6.0.3 requests-2.32.4 requests-oauthlib-2.0.0 safetensors-0.5.3 scikit-image-0.21.0 scikit-learn-1.3.2 scipy-1.10.1 six-1.17.0 soundfile-0.13.1 soxr-0.3.7 sympy-1.13.3 tb-nightly-2.14.0a20230808 tensorboard-data-server-0.7.2 threadpoolctl-3.5.0 tifffile-2023.7.10 tomli-2.4.1 torch-2.0.1 torchaudio-2.0.2 torchvision-0.15.2 tqdm-4.70.1 triton-2.0.0 typing-extensions-4.13.2 urllib3-2.2.3 werkzeug-3.0.6 yacs-0.1.8 yapf-0.43.0 zipp-3.20.2\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "ERROR: File or directory already exists: '/content/miniconda3'\n", "If you want to update an existing installation, use the -u option.\n", "\n", "\n", "==> WARNING: A newer version of conda exists. <==\n", " current version: 26.7.1\n", " latest version: 26.7.2\n", "\n", "Please update conda by running\n", "\n", " $ conda self update\n", "\n", "\n", "WARNING conda.conda_pypi.main:notify_externally_managed_future(156): \n", " Did you know? You can install many PyPI packages with conda\n", " using the conda-pypi beta. Get started:\n", " https://docs.conda.io/projects/conda/en/stable/new-features.html\n", "\n" ] } ] }, { "cell_type": "code", "source": [ "%%bash\n", "cd /content/SadTalker\n", "\n", "# Create necessary directories\n", "mkdir -p ./checkpoints ./gfpgan/weights\n", "\n", "# Download core SadTalker models\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar -O ./checkpoints/mapping_00109-model.pth.tar\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar -O ./checkpoints/mapping_00229-model.pth.tar\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors -O ./checkpoints/SadTalker_V0.0.2_256.safetensors\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors -O ./checkpoints/SadTalker_V0.0.2_512.safetensors\n", "\n", "# Download GFPGAN enhancer models\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth -O ./gfpgan/weights/alignment_WFLW_4HG.pth\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth -O ./gfpgan/weights/detection_Resnet50_Final.pth\n", "wget -nc https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -O ./gfpgan/weights/GFPGANv1.4.pth\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth -O ./gfpgan/weights/parsing_parsenet.pth" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 602 }, "id": "Bx6hzfQgsbnl", "outputId": "23811eca-4f30-41e3-f8a4-72a1938f49f8" }, "execution_count": 18, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "mkdir: cannot create directory ‘./checkpoints’: File exists\n", "File ‘./checkpoints/mapping_00109-model.pth.tar’ already there; not retrieving.\n", "File ‘./checkpoints/mapping_00229-model.pth.tar’ already there; not retrieving.\n", "File ‘./checkpoints/SadTalker_V0.0.2_256.safetensors’ already there; not retrieving.\n", "File ‘./checkpoints/SadTalker_V0.0.2_512.safetensors’ already there; not retrieving.\n", "File ‘./gfpgan/weights/alignment_WFLW_4HG.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/detection_Resnet50_Final.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/GFPGANv1.4.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/parsing_parsenet.pth’ already there; not retrieving.\n" ] }, { "output_type": "error", "ename": "CalledProcessError", "evalue": "Command 'b'# Navigate to your SadTalker directory\\ncd /content/SadTalker\\n\\n# Run the official download script\\nbash scripts/download_models.sh\\n'' returned non-zero exit status 1.", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_888/763976756.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'bash'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'# Navigate to your SadTalker directory\\ncd /content/SadTalker\\n\\n# Run the official download script\\nbash scripts/download_models.sh\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/google/colab/_shell.py\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m 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\u001b[0mto_close\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mCalledProcessError\u001b[0m: Command 'b'# Navigate to your SadTalker directory\\ncd /content/SadTalker\\n\\n# Run the official download script\\nbash scripts/download_models.sh\\n'' returned non-zero exit status 1." ] } ] }, { "cell_type": "code", "source": [ "%%bash\n", "cd /content/SadTalker\n", "\n", "# Create necessary directories\n", "mkdir -p ./checkpoints ./gfpgan/weights\n", "\n", "# Download core SadTalker models\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar -O ./checkpoints/mapping_00109-model.pth.tar\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar -O ./checkpoints/mapping_00229-model.pth.tar\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors -O ./checkpoints/SadTalker_V0.0.2_256.safetensors\n", "wget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors -O ./checkpoints/SadTalker_V0.0.2_512.safetensors\n", "\n", "# Download GFPGAN enhancer models\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth -O ./gfpgan/weights/alignment_WFLW_4HG.pth\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth -O ./gfpgan/weights/detection_Resnet50_Final.pth\n", "wget -nc https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -O ./gfpgan/weights/GFPGANv1.4.pth\n", "wget -nc https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth -O ./gfpgan/weights/parsing_parsenet.pth" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "TtI8UsUhslFi", "outputId": "ef0cb6f1-5be7-444b-8368-233705be1f73" }, "execution_count": 19, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "File ‘./checkpoints/mapping_00109-model.pth.tar’ already there; not retrieving.\n", "File ‘./checkpoints/mapping_00229-model.pth.tar’ already there; not retrieving.\n", "File ‘./checkpoints/SadTalker_V0.0.2_256.safetensors’ already there; not retrieving.\n", "File ‘./checkpoints/SadTalker_V0.0.2_512.safetensors’ already there; not retrieving.\n", "File ‘./gfpgan/weights/alignment_WFLW_4HG.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/detection_Resnet50_Final.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/GFPGANv1.4.pth’ already there; not retrieving.\n", "File ‘./gfpgan/weights/parsing_parsenet.pth’ already there; not retrieving.\n" ] }, { "output_type": "error", "ename": "CalledProcessError", "evalue": "Command 'b'cd /content/SadTalker\\n\\n# Create necessary directories\\nmkdir -p ./checkpoints ./gfpgan/weights\\n\\n# Download core SadTalker models\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar -O ./checkpoints/mapping_00109-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar -O ./checkpoints/mapping_00229-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors -O ./checkpoints/SadTalker_V0.0.2_256.safetensors\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors -O ./checkpoints/SadTalker_V0.0.2_512.safetensors\\n\\n# Download GFPGAN enhancer models\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth -O ./gfpgan/weights/alignment_WFLW_4HG.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth -O ./gfpgan/weights/detection_Resnet50_Final.pth\\nwget -nc https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -O ./gfpgan/weights/GFPGANv1.4.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth -O ./gfpgan/weights/parsing_parsenet.pth\\n'' returned non-zero exit status 1.", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_888/2010651393.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'bash'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'cd /content/SadTalker\\n\\n# Create necessary directories\\nmkdir -p ./checkpoints ./gfpgan/weights\\n\\n# Download core SadTalker models\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00109-model.pth.tar -O ./checkpoints/mapping_00109-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar -O ./checkpoints/mapping_00229-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors -O ./checkpoints/SadTalker_V0.0.2_256.safetensors\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors -O ./checkpoints/SadTalker_V0.0.2_512.safetensors\\n\\n# Download GFPGAN enhancer models\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth -O ./gfpgan/weights/alignment_WFLW_4HG.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth -O ./gfpgan/weights/detection_Resnet50_Final.pth\\nwget -nc https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -O ./gfpgan/weights/GFPGANv1.4.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth -O ./gfpgan/weights/parsing_...\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.13/dist-packages/google/colab/_shell.py\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[0mcell\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m' '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 223\u001b[0;31m \u001b[0;32mreturn\u001b[0m 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./checkpoints/mapping_00109-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/mapping_00229-model.pth.tar -O ./checkpoints/mapping_00229-model.pth.tar\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_256.safetensors -O ./checkpoints/SadTalker_V0.0.2_256.safetensors\\nwget -nc https://github.com/OpenTalker/SadTalker/releases/download/v0.0.2-rc/SadTalker_V0.0.2_512.safetensors -O ./checkpoints/SadTalker_V0.0.2_512.safetensors\\n\\n# Download GFPGAN enhancer models\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth -O ./gfpgan/weights/alignment_WFLW_4HG.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth -O ./gfpgan/weights/detection_Resnet50_Final.pth\\nwget -nc https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -O ./gfpgan/weights/GFPGANv1.4.pth\\nwget -nc https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth -O ./gfpgan/weights/parsing_parsenet.pth\\n'' returned non-zero exit status 1." ] } ] }, { "cell_type": "code", "source": [ "%%bash\n", "# 1. Activate your Conda environment\n", "source /content/miniconda3/bin/activate sadtalker\n", "\n", "# 2. Navigate to the SadTalker folder\n", "cd /content/SadTalker\n", "\n", "# 3. Run the generation script (pointing to your uploaded files)\n", "python inference.py \\\n", " --driven_audio /content/sadtalker-corporate-male-audio.wav \\\n", " --source_image /content/sadtalker-corporate-presenter-source.png \\\n", " --result_dir ./results \\\n", " --size 512 \\\n", " --still \\\n", " --preprocess crop \\\n", " --enhancer gfpgan" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Zk82OhFKs-HV", "outputId": "8b78ec01-69ef-4749-a562-40cc4390f3ad" }, "execution_count": 21, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "using safetensor as default\n", "3DMM Extraction for source image\n", "The generated video is named ./results/2026_09_12_13.03.47/sadtalker-corporate-presenter-source##sadtalker-corporate-male-audio.mp4\n", "face enhancer....\n", "The generated video is named ./results/2026_09_12_13.03.47/sadtalker-corporate-presenter-source##sadtalker-corporate-male-audio_enhanced.mp4\n", "The generated video is named: ./results/2026_09_12_13.03.47.mp4\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "\rlandmark Det:: 0%| | 0/1 [00:00