{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2a86fcac-7907-4ab9-8287-d21b241e1b89",
   "metadata": {},
   "source": [
    "RUN THIS CODE BELOW (Only in the first run)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ad40e45-9797-4188-be16-2e6c4d218ddc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Install all essentials for stable diffusion\n",
    "!conda install -c conda-forge libglib -y & conda update -n base conda -y\n",
    "!git clone --depth 1 https://github.com/AUTOMATIC1111/stable-diffusion-webui Repo\n",
    "%cd ~/Repo\n",
    "!git pull\n",
    "\n",
    "!mkdir /home/studio-lab-user/Repo/outputs\n",
    "\n",
    "%cd /home/studio-lab-user/Repo/embeddings\n",
    "!git clone --depth 1 https://github.com/dreamscapeai/negativekit\n",
    "\n",
    "%cd /home/studio-lab-user/Repo/extensions\n",
    "!git clone --depth 1 https://github.com/etherealxx/batchlinks-webui\n",
    "!git clone --depth 1 https://github.com/zanllp/sd-webui-infinite-image-browsing\n",
    "!git clone --depth 1 https://github.com/dreamscapeai/CN-v11400\n",
    "!git clone --depth 1 https://github.com/dreamscapeai/adetailer\n",
    "!git clone --depth 1 https://github.com/dreamscapeai/ultimatesdupscale\n",
    "!git clone --depth 1 https://github.com/dreamscapeai/tagcomplete\n",
    "!git clone --depth 1 https://github.com/Ysb321/roooop\n",
    "!git clone --depth 1 https://github.com/Ysb321/sd-artists-ui-tweak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36fa6df1-bf34-4bda-8f16-2b94cf5cd97a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%cd /home/studio-lab-user/Repo/models/\n",
    "!mkdir -p Stable-diffusion\n",
    "%cd /home/studio-lab-user/Repo/models/Stable-diffusion\n",
    "import requests\n",
    "\n",
    "# Define a list of URLs to download\n",
    "urls = [\n",
    "    'https://civitai.com/api/download/models/44827?type=Model&format=SafeTensor&size=pruned&fp=fp16',\n",
    "    'https://civitai.com/api/download/models/44827?type=Model&format=SafeTensor&size=pruned&fp=fp16',\n",
    "    'https://example.com/file3.pdf'\n",
    "]\n",
    "\n",
    "# Loop through the URLs and download each file\n",
    "for url in urls:\n",
    "    response = requests.get(url)\n",
    "    if 'content-disposition' in response.headers:\n",
    "        filename = response.headers.get('content-disposition').split('filename=')[1].strip('\"')\n",
    "        with open(filename, 'wb') as f:\n",
    "            f.write(response.content)\n",
    "    else:\n",
    "        print(f'Error: Content-Disposition header not found for {url}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "157afb87-cbb7-440c-bc0e-426e7917e9b8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%cd /home/studio-lab-user/Repo/extensions\n",
    "!git clone https://github.com/Ysb321/roooop\n",
    "!git clone https://github.com/Ysb321/sd-model-downloader\n",
    "!git clone https://github.com/Ysb321/sd-artists-ui-tweak\n",
    "print(\"done✌️\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1143bfa-63ba-4c4b-9008-c30ff1a7ed75",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install pyunpack\n",
    "import os\n",
    "from pyunpack import zipfile\n",
    "%cd /home/studio-lab-user/Repo/models/\n",
    "!mkdir -p VAE\n",
    "%cd /home/studio-lab-user/Repo/models/VAE/\n",
    "!wget --content-disposition -qq https://github.com/Ysb321/supper/releases/download/vae/vae-ft-mse-840000-ema-pruned.vae.pt\n",
    "print('\u001b[1;92m')\n",
    "\n",
    "import requests\n",
    "%cd /home/studio-lab-user/Repo/models/\n",
    "!mkdir Lora\n",
    "%cd /home/studio-lab-user/Repo/models/Lora\n",
    "# Define a list of URLs to download\n",
    "urls = [\n",
    "    'https://civitai.com/api/download/models/156831?type=Model&format=SafeTensor',\n",
    "    'https://civitai.com/api/download/models/21910?type=Model&format=SafeTensor&size=full&fp=fp16',\n",
    "    'https://civitai.com/api/download/models/112103',\n",
    "    'https://huggingface.co/datasets/ysb123/yy/resolve/main/Lora.zip',\n",
    "    'https://huggingface.co/datasets/ysb123/yy/resolve/main/ppp.zip',\n",
    "    'https://huggingface.co/datasets/ysb123/yy/resolve/main/ddd.zip'\n",
    "]\n",
    "\n",
    "# Loop through the URLs and download each file\n",
    "for url in urls:\n",
    "    response = requests.get(url)\n",
    "    if 'content-disposition' in response.headers:\n",
    "        filename = response.headers.get('content-disposition').split('filename=')[1].strip('\"').strip(';')\n",
    "        with open(filename, 'wb') as f:\n",
    "            f.write(response.content)\n",
    "    else:\n",
    "        print(f'Error: Content-Disposition header not found for {url}')\n",
    "        \n",
    "current_dir = os.getcwd()\n",
    "for entry in os.scandir(current_dir):\n",
    "     if entry.is_file() and entry.name.endswith('.zip\"'):\n",
    "        with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
    "             zip_ref.extractall(current_dir)\n",
    "                \n",
    "directory = '/home/studio-lab-user/Repo/models/Lora'\n",
    "for filename in os.listdir(directory):\n",
    "    if '.' not in filename:\n",
    "        old_filepath = os.path.join(directory, filename)\n",
    "        new_filepath = os.path.join(directory, filename + '.zip\"')\n",
    "        os.rename(old_filepath, new_filepath)\n",
    "current_dir = os.getcwd()\n",
    "for entry in os.scandir(current_dir):\n",
    "     if entry.is_file() and entry.name.endswith('.zip\"'):\n",
    "        with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
    "             zip_ref.extractall(current_dir)\n",
    "                \n",
    "!rm *zip\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c301e90c-bbb1-494d-b869-7427b8491353",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/studio-lab-user/Repo/extensions\n",
      "Cloning into 'sd-model-downloader'...\n",
      "remote: Enumerating objects: 322, done.\u001b[K\n",
      "remote: Counting objects: 100% (185/185), done.\u001b[K\n",
      "remote: Compressing objects: 100% (123/123), done.\u001b[K\n",
      "remote: Total 322 (delta 79), reused 113 (delta 42), pack-reused 137\u001b[K\n",
      "Receiving objects: 100% (322/322), 5.06 MiB | 11.69 MiB/s, done.\n",
      "Resolving deltas: 100% (87/87), done.\n"
     ]
    }
   ],
   "source": [
    "%cd /home/studio-lab-user/Repo/extensions\n",
    "!git clone https://github.com/Ysb321/sd-model-downloader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a271b5d7-937c-4386-8a87-327aa298a84c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!conda install -c conda-forge libglib -y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a5b2422e-115c-421f-9b29-7892e8413ab1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/studio-lab-user\n",
      "Collecting package metadata (current_repodata.json): ...working... done\n",
      "Solving environment: ...working... done\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%cd /home/studio-lab-user/\n",
    "!conda install -q -y aria2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4a9b6eca-442d-4f6f-9c69-f86d9361b0ba",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "env: TF_CPP_MIN_LOG_LEVEL=1\n",
      "/usr/bin/sh: 1: -o: not found\n"
     ]
    }
   ],
   "source": [
    "%env TF_CPP_MIN_LOG_LEVEL=1\n",
    "!aria2c https://civitai.com/api/download/models/44827?type=Model&format=SafeTensor&size=pruned&fp=fp16 -o sdas.safetensors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ea3ea45-056c-4863-a06a-3f7422bf7e20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/studio-lab-user/Repo\n",
      "Python 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, 21:39:03) \n",
      "[GCC 11.3.0]\n",
      "Version: v1.6.0\n",
      "Commit hash: 5ef669de080814067961f28357256e8fe27544f4\n",
      "Installing sd-webui-controlnet requirement: changing opencv-python version from 4.7.0.72 to 4.8.0\n",
      "Checking roop requirements\n",
      "Install insightface==0.7.3\n",
      "Installing sd-webui-roop requirement: insightface==0.7.3\n",
      "Install onnx==1.14.0\n",
      "Installing sd-webui-roop requirement: onnx==1.14.0\n",
      "Install onnxruntime==1.15.0\n",
      "Installing sd-webui-roop requirement: onnxruntime==1.15.0\n",
      "Install opencv-python==4.7.0.72\n",
      "Installing sd-webui-roop requirement: opencv-python==4.7.0.72\n",
      "Launching Web UI with arguments: --enable-insecure-extension-access --disable-console-progressbars --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --lowram --ngrok 2SefQiS69n2ZPossu5ODyKDTUiF_4o9Qd7PUj953ZBUwx5rdz\n",
      "ngrok authtoken detected, trying to connect...\n",
      "ngrok connected to localhost:7860! URL: https://9b78-3-136-172-40.ngrok-free.app\n",
      "You can use this link after the launch is complete.\n",
      "2023-09-23 12:24:41,243 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.410\n",
      "ControlNet preprocessor location: /home/studio-lab-user/Repo/extensions/CN-v11400/annotator/downloads\n",
      "2023-09-23 12:24:41,376 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.410\n",
      "WARNING:ngrok.tunnel_ext:error establishing local connection error=Connection refused (os error 111)\n",
      "WARNING:ngrok.tunnel_ext:error establishing local connection error=Connection refused (os error 111)\n",
      "\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m23.8\u001b[0m.\u001b[1;36m1\u001b[0m, num models: \u001b[1;36m9\u001b[0m\n",
      "2023-09-23 12:24:49,059 - roop - \u001b[0;32mINFO\u001b[0m - roop v0.0.2\n",
      "2023-09-23 12:24:49,059 - roop - \u001b[0;32mINFO\u001b[0m - roop v0.0.2\n",
      "Model Downloader v1.0.8\n",
      "Checking Directories...\n",
      "Creating LyCORIS Folder\n",
      "all Directories already Created.\n",
      "Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.\n",
      "Loading weights [5f6f1556d1] from /home/studio-lab-user/Repo/models/Stable-diffusion/animatrix_v20.safetensors\n",
      "/home/studio-lab-user/Repo/extensions/roooop/scripts/faceswap.py:38: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  img = gr.inputs.Image(type=\"pil\")\n",
      "/home/studio-lab-user/Repo/modules/gradio_extensons.py:25: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  res = original_IOComponent_init(self, *args, **kwargs)\n",
      "/home/studio-lab-user/Repo/extensions/roooop/scripts/faceswap.py:55: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  upscaler_name = gr.inputs.Dropdown(\n",
      "/home/studio-lab-user/Repo/extensions/roooop/scripts/faceswap.py:74: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  model = gr.inputs.Dropdown(\n",
      "WARNING:ngrok.tunnel_ext:error establishing local connection error=Connection refused (os error 111)\n",
      "/home/studio-lab-user/Repo/extensions/sd-model-downloader/scripts/model-downloader.py:309: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n",
      "  image.style(width=156, height=234)\n",
      "WARNING:ngrok.tunnel_ext:error establishing local connection error=Connection refused (os error 111)\n",
      "Running on local URL:  http://0.0.0.0:7860\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n",
      "Startup time: 46.0s (prepare environment: 24.0s, import torch: 4.4s, import gradio: 1.8s, setup paths: 2.9s, initialize shared: 0.5s, other imports: 1.4s, setup codeformer: 0.2s, load scripts: 9.1s, create ui: 1.0s, gradio launch: 0.3s, app_started_callback: 0.3s).\n",
      "Creating model from config: /home/studio-lab-user/Repo/configs/v1-inference.yaml\n",
      "Loading VAE weights specified in settings: /home/studio-lab-user/Repo/models/VAE/vae-ft-mse-840000-ema-pruned.vae.pt\n",
      "Applying attention optimization: xformers... done.\n",
      "Model loaded in 29.1s (load weights from disk: 23.9s, create model: 0.5s, apply weights to model: 0.2s, load VAE: 1.9s, load textual inversion embeddings: 0.1s, calculate empty prompt: 2.4s).\n",
      "100%|█████████████████████████████████████████████| 6/6 [00:01<00:00,  3.21it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "inswapper-shape: [1, 3, 128, 128]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:27:17,249 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 6/6 [00:00<00:00,  6.96it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:29:07,484 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 6/6 [00:00<00:00,  6.87it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:30:08,583 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 6/6 [00:00<00:00,  7.08it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:31:48,207 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 6/6 [00:00<00:00,  7.26it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:32:15,682 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  7.21it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.7ms\n",
      "Speed: 2.7ms preprocess, 6.7ms inference, 3.8ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.28it/s]\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.24it/s]\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.25it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:32:51,553 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  6.70it/s]\n",
      "\n",
      "0: 640x640 3 faces, 4.9ms\n",
      "Speed: 2.2ms preprocess, 4.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.33it/s]\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.22it/s]\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.22it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:33:22,268 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  6.93it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.1ms\n",
      "Speed: 2.3ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.30it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:34:17,442 - roop - \u001b[0;32mINFO\u001b[0m - No target face found for 2\n",
      "2023-09-23 12:34:17,443 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  6.93it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.6ms\n",
      "Speed: 2.3ms preprocess, 6.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.29it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:34:34,473 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  7.01it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.3ms\n",
      "Speed: 2.3ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.30it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:35:22,135 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  6.94it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.3ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.30it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:36:01,676 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  7.31it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.1ms\n",
      "Speed: 2.3ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  7.29it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:37:26,275 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:01<00:00,  2.04it/s]\n",
      "\n",
      "0: 640x448 1 face, 301.8ms\n",
      "Speed: 1.9ms preprocess, 301.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:37:59,064 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|█████████████████████████████████████████████| 4/4 [00:00<00:00,  4.68it/s]\n",
      "\n",
      "0: 640x448 1 face, 7.1ms\n",
      "Speed: 1.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.65it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:39:01,964 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 13/13 [00:02<00:00,  4.62it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.9ms\n",
      "Speed: 2.0ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.65it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:39:34,241 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.60it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.9ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.63it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:40:01,643 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.60it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.5ms\n",
      "Speed: 1.9ms preprocess, 5.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:41:11,016 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.61it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.8ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:41:56,487 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.64it/s]\n",
      "\n",
      "0: 640x448 1 face, 7.1ms\n",
      "Speed: 1.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.63it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:42:37,254 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.64it/s]\n",
      "\n",
      "0: 640x448 1 face, 7.1ms\n",
      "Speed: 1.8ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.65it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:43:49,615 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.9ms\n",
      "Speed: 1.9ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:44:17,267 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.7ms\n",
      "Speed: 1.9ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.62it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:44:41,580 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.58it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.7ms\n",
      "Speed: 1.9ms preprocess, 6.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.61it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:44:58,914 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.60it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.5ms\n",
      "Speed: 1.8ms preprocess, 5.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.62it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:45:30,045 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 11/11 [00:02<00:00,  4.56it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.8ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.61it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:45:50,942 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 15/15 [00:03<00:00,  4.58it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.8ms\n",
      "Speed: 1.9ms preprocess, 5.8ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:46:19,053 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 15/15 [00:03<00:00,  4.60it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.7ms\n",
      "Speed: 1.8ms preprocess, 6.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.62it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:46:48,847 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 15/15 [00:03<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.8ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.61it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:47:26,687 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 15/15 [00:03<00:00,  4.62it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.7ms\n",
      "Speed: 1.9ms preprocess, 6.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|█████████████████████████████████████████████| 9/9 [00:01<00:00,  4.61it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:48:06,613 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.7ms\n",
      "Speed: 2.0ms preprocess, 6.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 14/14 [00:03<00:00,  4.59it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:48:28,254 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:04<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.5ms\n",
      "Speed: 1.8ms preprocess, 5.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 14/14 [00:03<00:00,  4.59it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:48:54,008 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 21/21 [00:04<00:00,  4.56it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.7ms\n",
      "Speed: 1.8ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 14/14 [00:03<00:00,  4.57it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:49:26,581 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 21/21 [00:04<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 7.0ms\n",
      "Speed: 1.9ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 14/14 [00:03<00:00,  4.59it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:50:03,182 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 21/21 [00:04<00:00,  4.57it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.9ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 14/14 [00:03<00:00,  4.58it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:50:28,998 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.5ms\n",
      "Speed: 1.8ms preprocess, 5.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:03<00:00,  4.59it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:51:17,988 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.53it/s]\n",
      "\n",
      "0: 640x448 1 face, 6.8ms\n",
      "Speed: 1.8ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:03<00:00,  4.55it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:51:41,198 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.59it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.9ms\n",
      "Speed: 1.9ms preprocess, 5.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:03<00:00,  4.59it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:52:30,072 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.58it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.5ms\n",
      "Speed: 1.8ms preprocess, 5.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:03<00:00,  4.57it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:52:54,790 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:05<00:00,  4.55it/s]\n",
      "\n",
      "0: 640x448 1 face, 5.7ms\n",
      "Speed: 1.9ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 448)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:03<00:00,  4.56it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:53:47,665 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:10<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.74it/s]\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.73it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:56:07,979 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:08<00:00,  2.73it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.0ms\n",
      "Speed: 2.4ms preprocess, 5.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.72it/s]\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.71it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:56:48,597 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 24/24 [00:08<00:00,  2.76it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.8ms\n",
      "Speed: 2.5ms preprocess, 5.8ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.75it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 12:58:32,890 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:04<00:00,  4.20it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:05<00:00,  6.47it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:13<00:00,  2.71it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.5ms\n",
      "Speed: 3.0ms preprocess, 6.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:05<00:00,  2.73it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:05<00:00,  2.71it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.29it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.3ms\n",
      "Speed: 2.7ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.5ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.40it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.31it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.8ms\n",
      "Speed: 2.9ms preprocess, 6.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.39it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.7ms\n",
      "Speed: 2.5ms preprocess, 5.7ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:08:02,758 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.43it/s]\n",
      "\n",
      "0: 640x640 1 face, 8.2ms\n",
      "Speed: 2.6ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:09:02,432 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:09:38,129 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.5ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:10:59,664 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.43it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.2ms\n",
      "Speed: 2.7ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:11:39,775 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.45it/s]\n",
      "\n",
      "0: 640x640 1 face, 7.6ms\n",
      "Speed: 2.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.47it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:13:05,143 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.2ms\n",
      "Speed: 2.4ms preprocess, 5.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:13:48,690 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.43it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.7ms\n",
      "Speed: 2.6ms preprocess, 6.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:14:26,553 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 2.4ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:15:10,657 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.4ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:16:36,566 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.7ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.40it/s]\n",
      "\n",
      "0: 640x640 5 faces, 5.4ms\n",
      "Speed: 2.5ms preprocess, 5.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.33it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.0ms\n",
      "Speed: 2.5ms preprocess, 6.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.40it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.39it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:22:44,408 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:23:58,583 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.40it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.0ms\n",
      "Speed: 2.4ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.44it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.5ms\n",
      "Speed: 2.5ms preprocess, 6.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.6ms preprocess, 6.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:14<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.2ms\n",
      "Speed: 2.6ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.39it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.1ms\n",
      "Speed: 2.5ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 36/36 [00:15<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 4 faces, 6.2ms\n",
      "Speed: 2.6ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 5 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 4 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.3ms\n",
      "Speed: 2.5ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.39it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:33:07,942 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:06<00:00,  2.46it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.47it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.45it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:34:17,365 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:06<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.46it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:35:03,693 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:06<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.0ms\n",
      "Speed: 2.5ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.46it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:35:45,840 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "  4%|█▊                                          | 1/25 [00:00<00:12,  1.98it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (320, 320)\n",
      "2023-09-23 13:36:10,347 - roop - \u001b[0;32mINFO\u001b[0m - No target face found for 1\n",
      "2023-09-23 13:36:10,351 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.43it/s]\n",
      "\n",
      "0: 640x640 4 faces, 6.5ms\n",
      "Speed: 2.7ms preprocess, 6.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.39it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.0ms\n",
      "Speed: 2.6ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.40it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.0ms\n",
      "Speed: 2.8ms preprocess, 6.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.7ms preprocess, 5.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 25/25 [00:10<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 11/11 [00:04<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 13 faces, 6.1ms\n",
      "Speed: 2.5ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      " 13%|█████▊                                      | 2/15 [00:00<00:05,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.34it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.33it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.32it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.31it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:15<00:00,  2.31it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.4ms\n",
      "Speed: 2.6ms preprocess, 6.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.34it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.32it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.1ms\n",
      "Speed: 2.6ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.0ms\n",
      "Speed: 2.6ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.6ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.1ms\n",
      "Speed: 2.5ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.34it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.6ms preprocess, 6.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.6ms\n",
      "Speed: 2.7ms preprocess, 6.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:47:25,813 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:48:27,415 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "\u001b[1;32mBatchLinks Downloads starting...\n",
      "\u001b[0m\n",
      "\n",
      "\n",
      "https://civitai.com/api/download/models/87153?type=Model&format=SafeTensor\n",
      "Downloading...\n",
      "From: https://civitai.com/api/download/models/87153?type=Model&format=SafeTensor\n",
      "To: /home/studio-lab-user/Repo/models/Lora/87153?type=Model&format=SafeTensor\n",
      "\n",
      "100%|██████████| 9.55M/9.55M [00:00<00:00, 69.8MB/s]\n",
      "\u001b[1;32mBatchLinks Downloads finished!\n",
      "\u001b[0m\n",
      "Calculating sha256 for /home/studio-lab-user/Repo/models/Lora/more_details.safetensors: 3b8aa1d351efcbf8152e6327671d1310f6052b261363521874bb57c2711f419d\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 1 face, 6.2ms\n",
      "Speed: 2.7ms preprocess, 6.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.48it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 13:52:11,169 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.46it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.47it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.7ms\n",
      "Speed: 2.9ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.44it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.3ms\n",
      "Speed: 2.6ms preprocess, 6.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.43it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.39it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 4 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.38it/s]\n",
      " 67%|████████████████████████████▋              | 10/15 [00:04<00:02,  2.35it/s]\n",
      "*** Error running postprocess_image: /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.py\n",
      "    Traceback (most recent call last):\n",
      "      File \"/home/studio-lab-user/Repo/modules/scripts.py\", line 675, in postprocess_image\n",
      "        script.postprocess_image(p, pp, *script_args)\n",
      "      File \"/home/studio-lab-user/Repo/extensions/adetailer/adetailer/traceback.py\", line 159, in wrapper\n",
      "        raise error from None\n",
      "    IndexError: \n",
      "    ╭──────────────────────────────────────────────────────────────────────────╮\n",
      "    │                               System info                                │\n",
      "    │ ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │\n",
      "    │ ┃             ┃ Value                                                  ┃ │\n",
      "    │ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │\n",
      "    │ │    Platform │ Linux-4.14.322-244.539.amzn2.x86_64-x86_64-with-glibc… │ │\n",
      "    │ │      Python │ 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, │ │\n",
      "    │ │             │ 21:39:03)                                              │ │\n",
      "    │ │             │ [GCC 11.3.0]                                           │ │\n",
      "    │ │     Version │ v1.6.0                                                 │ │\n",
      "    │ │      Commit │ 5ef669de080814067961f28357256e8fe27544f4               │ │\n",
      "    │ │ Commandline │ ['launch.py', '--enable-insecure-extension-access',    │ │\n",
      "    │ │             │ '--disable-console-progressbars', '--listen',          │ │\n",
      "    │ │             │ '--xformers', '--enable-insecure-extension-access',    │ │\n",
      "    │ │             │ '--theme', 'dark', '--gradio-queue', '--lowram',       │ │\n",
      "    │ │             │ '--ngrok',                                             │ │\n",
      "    │ │             │ '2SefQiS69n2ZPossu5ODyKDTUiF_4o9Qd7PUj953ZBUwx5rdz']   │ │\n",
      "    │ │   Libraries │ {'torch': '2.0.1+cu118', 'torchvision':                │ │\n",
      "    │ │             │ '0.15.2+cu118', 'ultralytics': '8.0.182', 'mediapipe': │ │\n",
      "    │ │             │ '0.10.5'}                                              │ │\n",
      "    │ └─────────────┴────────────────────────────────────────────────────────┘ │\n",
      "    │                                  Inputs                                  │\n",
      "    │ ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │\n",
      "    │ ┃                 ┃ Value                                              ┃ │\n",
      "    │ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │\n",
      "    │ │          prompt │ (brown skin 1bride) with huge breasts, ((1man      │ │\n",
      "    │ │                 │ behind 1bride, sex)), cheating on husband, hairy   │ │\n",
      "    │ │                 │ pussy, penis, penetration,  (side view), cum,      │ │\n",
      "    │ │                 │ <lora:more_details:0.3>, sari,                     │ │\n",
      "    │ │ negative_prompt │ canvas frame, (high contrast:1.2), (over           │ │\n",
      "    │ │                 │ saturated:1.2), (glossy:1.1), cartoon, 3d,         │ │\n",
      "    │ │                 │ ((disfigured)), ((bad art)), ((b&w)), blurry,      │ │\n",
      "    │ │                 │ ((bad anatomy)), (((bad proportions))), ((extra    │ │\n",
      "    │ │                 │ limbs)), cloned face, (((disfigured))), extra      │ │\n",
      "    │ │                 │ limbs, (bad anatomy), gross proportions,           │ │\n",
      "    │ │                 │ (malformed limbs), ((missing arms)), ((missing     │ │\n",
      "    │ │                 │ legs)), (((extra arms))), (((extra legs))),        │ │\n",
      "    │ │                 │ mutated hands, (fused fingers), (too many          │ │\n",
      "    │ │                 │ fingers), (((long neck))), Photoshop, video game,  │ │\n",
      "    │ │                 │ ugly, tiling, poorly drawn hands, 3d render,       │ │\n",
      "    │ │                 │ ((belly fat)), ((Korean, Asian)), ((bottomwear)),  │ │\n",
      "    │ │                 │ ((watermark)),                                     │ │\n",
      "    │ │          n_iter │ 1                                                  │ │\n",
      "    │ │      batch_size │ 1                                                  │ │\n",
      "    │ │           width │ 768                                                │ │\n",
      "    │ │          height │ 768                                                │ │\n",
      "    │ │    sampler_name │ DPM++ 2M SDE Karras                                │ │\n",
      "    │ │       enable_hr │ False                                              │ │\n",
      "    │ │     hr_upscaler │ Latent                                             │ │\n",
      "    │ │      checkpoint │ animatrix_v20.safetensors [5f6f1556d1]             │ │\n",
      "    │ │             vae │ vae-ft-mse-840000-ema-pruned.vae.pt                │ │\n",
      "    │ │            unet │ Automatic                                          │ │\n",
      "    │ └─────────────────┴────────────────────────────────────────────────────┘ │\n",
      "    │                 ADetailer                                                │\n",
      "    │ ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓                                │\n",
      "    │ ┃                     ┃ Value           ┃                                │\n",
      "    │ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩                                │\n",
      "    │ │             version │ 23.8.1          │                                │\n",
      "    │ │            ad_model │ face_yolov8n.pt │                                │\n",
      "    │ │           ad_prompt │                 │                                │\n",
      "    │ │  ad_negative_prompt │                 │                                │\n",
      "    │ │ ad_controlnet_model │ None            │                                │\n",
      "    │ │              is_api │ False           │                                │\n",
      "    │ └─────────────────────┴─────────────────┘                                │\n",
      "    │ ╭───────────────── Traceback (most recent call last) ──────────────────╮ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/adetailer/traceback. │ │\n",
      "    │ │ py:139 in wrapper                                                    │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   136 │   │   width = width - 4 if width > 4 else None               │ │\n",
      "    │ │   137 │   │   console = Console(file=string, width=width)            │ │\n",
      "    │ │   138 │   │   try:                                                   │ │\n",
      "    │ │ ❱ 139 │   │   │   return func(*args, **kwargs)                       │ │\n",
      "    │ │   140 │   │   except Exception as e:                                 │ │\n",
      "    │ │   141 │   │   │   tables = [                                         │ │\n",
      "    │ │   142 │   │   │   │   get_table(title, data)                         │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.p │ │\n",
      "    │ │ y:639 in postprocess_image                                           │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   636 │   │   │   for n, args in enumerate(arg_list):                │ │\n",
      "    │ │   637 │   │   │   │   if args.ad_model == \"None\":                    │ │\n",
      "    │ │   638 │   │   │   │   │   continue                                   │ │\n",
      "    │ │ ❱ 639 │   │   │   │   is_processed |= self._postprocess_image(p, pp, │ │\n",
      "    │ │   640 │   │                                                          │ │\n",
      "    │ │   641 │   │   if is_processed:                                       │ │\n",
      "    │ │   642 │   │   │   self.save_image(                                   │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.p │ │\n",
      "    │ │ y:599 in _postprocess_image                                          │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   596 │   │   │   p2.subseed = subseed + j                           │ │\n",
      "    │ │   597 │   │   │                                                      │ │\n",
      "    │ │   598 │   │   │   try:                                               │ │\n",
      "    │ │ ❱ 599 │   │   │   │   processed = process_images(p2)                 │ │\n",
      "    │ │   600 │   │   │   except NansException as e:                         │ │\n",
      "    │ │   601 │   │   │   │   msg = f\"[-] ADetailer: 'NansException' occurre │ │\n",
      "    │ │   602 │   │   │   │   print(msg, file=sys.stderr)                    │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/modules/processing.py:732 in              │ │\n",
      "    │ │ process_images                                                       │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │    729 │   │                                                         │ │\n",
      "    │ │    730 │   │   sd_models.apply_token_merging(p.sd_model, p.get_token │ │\n",
      "    │ │    731 │   │                                                         │ │\n",
      "    │ │ ❱  732 │   │   res = process_images_inner(p)                         │ │\n",
      "    │ │    733 │                                                             │ │\n",
      "    │ │    734 │   finally:                                                  │ │\n",
      "    │ │    735 │   │   sd_models.apply_token_merging(p.sd_model, 0)          │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/modules/processing.py:987 in              │ │\n",
      "    │ │ process_images_inner                                                 │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │    984 │   │   p,                                                    │ │\n",
      "    │ │    985 │   │   images_list=output_images,                            │ │\n",
      "    │ │    986 │   │   seed=p.all_seeds[0],                                  │ │\n",
      "    │ │ ❱  987 │   │   info=infotexts[0],                                    │ │\n",
      "    │ │    988 │   │   subseed=p.all_subseeds[0],                            │ │\n",
      "    │ │    989 │   │   index_of_first_image=index_of_first_image,            │ │\n",
      "    │ │    990 │   │   infotexts=infotexts,                                  │ │\n",
      "    │ ╰──────────────────────────────────────────────────────────────────────╯ │\n",
      "    │ IndexError: list index out of range                                      │\n",
      "    ╰──────────────────────────────────────────────────────────────────────────╯\n",
      "\n",
      "\n",
      "---\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.4ms\n",
      "Speed: 2.6ms preprocess, 6.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 35/35 [00:14<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 15/15 [00:06<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.33it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.1ms\n",
      "Speed: 2.6ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.34it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.34it/s]\n",
      "\n",
      "0: 640x640 4 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.36it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 3.2ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.35it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.3ms\n",
      "Speed: 2.5ms preprocess, 5.3ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.35it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:00:54,297 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.38it/s]\n",
      "\n",
      "0: 640x640 6 faces, 6.5ms\n",
      "Speed: 2.6ms preprocess, 6.5ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.39it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.38it/s]\n",
      "  8%|███▍                                        | 1/13 [00:00<00:05,  2.35it/s]\n",
      "  8%|███▍                                        | 1/13 [00:00<00:05,  2.38it/s]\n",
      "*** Error running postprocess_image: /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.py\n",
      "    Traceback (most recent call last):\n",
      "      File \"/home/studio-lab-user/Repo/modules/scripts.py\", line 675, in postprocess_image\n",
      "        script.postprocess_image(p, pp, *script_args)\n",
      "      File \"/home/studio-lab-user/Repo/extensions/adetailer/adetailer/traceback.py\", line 159, in wrapper\n",
      "        raise error from None\n",
      "    IndexError: \n",
      "    ╭──────────────────────────────────────────────────────────────────────────╮\n",
      "    │                               System info                                │\n",
      "    │ ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │\n",
      "    │ ┃             ┃ Value                                                  ┃ │\n",
      "    │ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │\n",
      "    │ │    Platform │ Linux-4.14.322-244.539.amzn2.x86_64-x86_64-with-glibc… │ │\n",
      "    │ │      Python │ 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, │ │\n",
      "    │ │             │ 21:39:03)                                              │ │\n",
      "    │ │             │ [GCC 11.3.0]                                           │ │\n",
      "    │ │     Version │ v1.6.0                                                 │ │\n",
      "    │ │      Commit │ 5ef669de080814067961f28357256e8fe27544f4               │ │\n",
      "    │ │ Commandline │ ['launch.py', '--enable-insecure-extension-access',    │ │\n",
      "    │ │             │ '--disable-console-progressbars', '--listen',          │ │\n",
      "    │ │             │ '--xformers', '--enable-insecure-extension-access',    │ │\n",
      "    │ │             │ '--theme', 'dark', '--gradio-queue', '--lowram',       │ │\n",
      "    │ │             │ '--ngrok',                                             │ │\n",
      "    │ │             │ '2SefQiS69n2ZPossu5ODyKDTUiF_4o9Qd7PUj953ZBUwx5rdz']   │ │\n",
      "    │ │   Libraries │ {'torch': '2.0.1+cu118', 'torchvision':                │ │\n",
      "    │ │             │ '0.15.2+cu118', 'ultralytics': '8.0.182', 'mediapipe': │ │\n",
      "    │ │             │ '0.10.5'}                                              │ │\n",
      "    │ └─────────────┴────────────────────────────────────────────────────────┘ │\n",
      "    │                                  Inputs                                  │\n",
      "    │ ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │\n",
      "    │ ┃                 ┃ Value                                              ┃ │\n",
      "    │ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │\n",
      "    │ │          prompt │ (brown skin 1bride in sari) with huge breasts,     │ │\n",
      "    │ │                 │ ((1man behind 1bride, sex)), cheating on husband,  │ │\n",
      "    │ │                 │ hairy pussy, penis, penetration,  (side view),     │ │\n",
      "    │ │                 │ cum,  <lora:more_details:0.3>, bent over,          │ │\n",
      "    │ │ negative_prompt │ canvas frame, (high contrast:1.2), (over           │ │\n",
      "    │ │                 │ saturated:1.2), (glossy:1.1), cartoon, 3d,         │ │\n",
      "    │ │                 │ ((disfigured)), ((bad art)), ((b&w)), blurry,      │ │\n",
      "    │ │                 │ ((bad anatomy)), (((bad proportions))), ((extra    │ │\n",
      "    │ │                 │ limbs)), cloned face, (((disfigured))), extra      │ │\n",
      "    │ │                 │ limbs, (bad anatomy), gross proportions,           │ │\n",
      "    │ │                 │ (malformed limbs), ((missing arms)), ((missing     │ │\n",
      "    │ │                 │ legs)), (((extra arms))), (((extra legs))),        │ │\n",
      "    │ │                 │ mutated hands, (fused fingers), (too many          │ │\n",
      "    │ │                 │ fingers), (((long neck))), Photoshop, video game,  │ │\n",
      "    │ │                 │ ugly, tiling, poorly drawn hands, 3d render,       │ │\n",
      "    │ │                 │ ((belly fat)), ((Korean, Asian)), ((bottomwear)),  │ │\n",
      "    │ │                 │ ((watermark)),                                     │ │\n",
      "    │ │          n_iter │ 1                                                  │ │\n",
      "    │ │      batch_size │ 1                                                  │ │\n",
      "    │ │           width │ 768                                                │ │\n",
      "    │ │          height │ 768                                                │ │\n",
      "    │ │    sampler_name │ DPM++ 2M SDE Karras                                │ │\n",
      "    │ │       enable_hr │ False                                              │ │\n",
      "    │ │     hr_upscaler │ Latent                                             │ │\n",
      "    │ │      checkpoint │ animatrix_v20.safetensors [5f6f1556d1]             │ │\n",
      "    │ │             vae │ vae-ft-mse-840000-ema-pruned.vae.pt                │ │\n",
      "    │ │            unet │ Automatic                                          │ │\n",
      "    │ └─────────────────┴────────────────────────────────────────────────────┘ │\n",
      "    │                 ADetailer                                                │\n",
      "    │ ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓                                │\n",
      "    │ ┃                     ┃ Value           ┃                                │\n",
      "    │ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩                                │\n",
      "    │ │             version │ 23.8.1          │                                │\n",
      "    │ │            ad_model │ face_yolov8n.pt │                                │\n",
      "    │ │           ad_prompt │                 │                                │\n",
      "    │ │  ad_negative_prompt │                 │                                │\n",
      "    │ │ ad_controlnet_model │ None            │                                │\n",
      "    │ │              is_api │ False           │                                │\n",
      "    │ └─────────────────────┴─────────────────┘                                │\n",
      "    │ ╭───────────────── Traceback (most recent call last) ──────────────────╮ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/adetailer/traceback. │ │\n",
      "    │ │ py:139 in wrapper                                                    │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   136 │   │   width = width - 4 if width > 4 else None               │ │\n",
      "    │ │   137 │   │   console = Console(file=string, width=width)            │ │\n",
      "    │ │   138 │   │   try:                                                   │ │\n",
      "    │ │ ❱ 139 │   │   │   return func(*args, **kwargs)                       │ │\n",
      "    │ │   140 │   │   except Exception as e:                                 │ │\n",
      "    │ │   141 │   │   │   tables = [                                         │ │\n",
      "    │ │   142 │   │   │   │   get_table(title, data)                         │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.p │ │\n",
      "    │ │ y:639 in postprocess_image                                           │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   636 │   │   │   for n, args in enumerate(arg_list):                │ │\n",
      "    │ │   637 │   │   │   │   if args.ad_model == \"None\":                    │ │\n",
      "    │ │   638 │   │   │   │   │   continue                                   │ │\n",
      "    │ │ ❱ 639 │   │   │   │   is_processed |= self._postprocess_image(p, pp, │ │\n",
      "    │ │   640 │   │                                                          │ │\n",
      "    │ │   641 │   │   if is_processed:                                       │ │\n",
      "    │ │   642 │   │   │   self.save_image(                                   │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/extensions/adetailer/scripts/!adetailer.p │ │\n",
      "    │ │ y:599 in _postprocess_image                                          │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │   596 │   │   │   p2.subseed = subseed + j                           │ │\n",
      "    │ │   597 │   │   │                                                      │ │\n",
      "    │ │   598 │   │   │   try:                                               │ │\n",
      "    │ │ ❱ 599 │   │   │   │   processed = process_images(p2)                 │ │\n",
      "    │ │   600 │   │   │   except NansException as e:                         │ │\n",
      "    │ │   601 │   │   │   │   msg = f\"[-] ADetailer: 'NansException' occurre │ │\n",
      "    │ │   602 │   │   │   │   print(msg, file=sys.stderr)                    │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/modules/processing.py:732 in              │ │\n",
      "    │ │ process_images                                                       │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │    729 │   │                                                         │ │\n",
      "    │ │    730 │   │   sd_models.apply_token_merging(p.sd_model, p.get_token │ │\n",
      "    │ │    731 │   │                                                         │ │\n",
      "    │ │ ❱  732 │   │   res = process_images_inner(p)                         │ │\n",
      "    │ │    733 │                                                             │ │\n",
      "    │ │    734 │   finally:                                                  │ │\n",
      "    │ │    735 │   │   sd_models.apply_token_merging(p.sd_model, 0)          │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │ /home/studio-lab-user/Repo/modules/processing.py:987 in              │ │\n",
      "    │ │ process_images_inner                                                 │ │\n",
      "    │ │                                                                      │ │\n",
      "    │ │    984 │   │   p,                                                    │ │\n",
      "    │ │    985 │   │   images_list=output_images,                            │ │\n",
      "    │ │    986 │   │   seed=p.all_seeds[0],                                  │ │\n",
      "    │ │ ❱  987 │   │   info=infotexts[0],                                    │ │\n",
      "    │ │    988 │   │   subseed=p.all_subseeds[0],                            │ │\n",
      "    │ │    989 │   │   index_of_first_image=index_of_first_image,            │ │\n",
      "    │ │    990 │   │   infotexts=infotexts,                                  │ │\n",
      "    │ ╰──────────────────────────────────────────────────────────────────────╯ │\n",
      "    │ IndexError: list index out of range                                      │\n",
      "    ╰──────────────────────────────────────────────────────────────────────────╯\n",
      "\n",
      "\n",
      "---\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.8ms\n",
      "Speed: 2.5ms preprocess, 5.8ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.38it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.37it/s]\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.31it/s]\n",
      "\n",
      "0: 640x640 2 faces, 4.9ms\n",
      "Speed: 2.5ms preprocess, 4.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.41it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:03:45,353 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.4ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.40it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.39it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:04:21,593 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.41it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.41it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.40it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:04:59,037 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:07<00:00,  2.65it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.4ms\n",
      "Speed: 2.7ms preprocess, 6.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.65it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.63it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:05:33,954 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:07<00:00,  2.67it/s]\n",
      "\n",
      "0: 640x640 2 faces, 4.9ms\n",
      "Speed: 2.5ms preprocess, 4.9ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.66it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.64it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:06:14,401 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:07<00:00,  2.70it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 2.4ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.67it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:07:06,371 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:07<00:00,  2.70it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.9ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.67it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:07:52,029 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:07<00:00,  2.70it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.68it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:08:32,965 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:07<00:00,  2.71it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.70it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:09:24,424 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:06<00:00,  2.78it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.7ms\n",
      "Speed: 2.6ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.77it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.76it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:14:34,201 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:06<00:00,  2.77it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.76it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.75it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:16:04,859 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:06<00:00,  2.76it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.0ms\n",
      "Speed: 2.4ms preprocess, 5.0ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.75it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.73it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:17:03,340 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:06<00:00,  2.74it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.1ms\n",
      "Speed: 2.4ms preprocess, 5.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.73it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.72it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:17:35,711 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 19/19 [00:06<00:00,  2.73it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.6ms\n",
      "Speed: 2.5ms preprocess, 6.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.71it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:18:16,440 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.72it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.0ms\n",
      "Speed: 2.4ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.71it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.70it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:19:06,592 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.71it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.0ms\n",
      "Speed: 2.5ms preprocess, 6.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.70it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.69it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:19:41,820 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.71it/s]\n",
      "\n",
      "0: 640x640 2 faces, 5.3ms\n",
      "Speed: 2.3ms preprocess, 5.3ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.70it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.68it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:20:14,621 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:05<00:00,  2.73it/s]\n",
      "\n",
      "0: 640x640 2 faces, 6.1ms\n",
      "Speed: 2.5ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.72it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:04<00:00,  2.70it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:21:23,487 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 31/31 [00:13<00:00,  2.37it/s]\n",
      "\n",
      "0: 640x640 1 face, 5.0ms\n",
      "Speed: 2.5ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 31/31 [00:12<00:00,  2.42it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.1ms\n",
      "Speed: 2.4ms preprocess, 5.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.44it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.42it/s]\n",
      "100%|███████████████████████████████████████████| 16/16 [00:06<00:00,  2.50it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.1ms\n",
      "Speed: 2.5ms preprocess, 5.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.49it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.48it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.47it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:24:54,235 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 16/16 [00:06<00:00,  2.36it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.2ms\n",
      "Speed: 2.5ms preprocess, 5.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.50it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.47it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.47it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:26:28,651 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.2ms\n",
      "Speed: 2.5ms preprocess, 6.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.47it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.45it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:27:10,654 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.0ms\n",
      "Speed: 2.4ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:28:04,379 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 3 faces, 6.1ms\n",
      "Speed: 2.5ms preprocess, 6.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.47it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:29:04,071 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n",
      "100%|███████████████████████████████████████████| 20/20 [00:08<00:00,  2.47it/s]\n",
      "\n",
      "0: 640x640 3 faces, 5.0ms\n",
      "Speed: 2.5ms preprocess, 5.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.46it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.45it/s]\n",
      "100%|███████████████████████████████████████████| 13/13 [00:05<00:00,  2.44it/s]\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
      "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
      "find model: /home/studio-lab-user/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
      "set det-size: (640, 640)\n",
      "2023-09-23 14:30:00,954 - roop - \u001b[0;32mINFO\u001b[0m - Restore face with GFPGAN\n"
     ]
    }
   ],
   "source": [
    "#Don't forget to paste your NGROK token here\n",
    "%cd ~/Repo\n",
    "#!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/config.json\n",
    "#!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/styles.csv\n",
    "#!wget -qq https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/CodeFormer.pth\n",
    "#!wget -qq https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth\n",
    "!python launch.py  --enable-insecure-extension-access --disable-console-progressbars --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --lowram --ngrok 2SefQiS69n2ZPossu5ODyKDTUiF_4o9Qd7PUj953ZBUwx5rdz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4b62f7b-f415-461c-b642-a921eccb842c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "$ ldconfig -p | grep libgthread-2.0.so.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a4e8d6c-8060-486f-a37f-b1c1a42433fd",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fdeece9b-7e0a-4c93-aec2-6d96b95cdc84",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#download and compress all outputs\n",
    "import zipfile\n",
    "import os\n",
    "\n",
    "def create_zip_archive(source_dir, output_path):\n",
    "    with zipfile.ZipFile(output_path, 'w', zipfile.ZIP_DEFLATED) as zipf:\n",
    "        for root, dirs, files in os.walk(source_dir):\n",
    "            for file in files:\n",
    "                file_path = os.path.join(root, file)\n",
    "                zipf.write(file_path, os.path.relpath(file_path, source_dir))\n",
    "\n",
    "# Specify the source directory and output path\n",
    "source_dir = '/home/studio-lab-user/drive'\n",
    "output_path = '/home/studio-lab-user/outputs.zip'\n",
    "\n",
    "# Create the ZIP archive\n",
    "create_zip_archive(source_dir, output_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "439692fe-f99d-4703-aa6d-27a8bcc8a775",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Check the storage available (if storage full, can cause problem)\n",
    "!df -h | grep -E 'Avail|home'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8a56c3a-f0af-4c87-bf83-c99942a3a3b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#delete and empty the OUTPUT folder\n",
    "!rm -rf /home/studio-lab-user/stable-diffusion-webui/outputs/*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ac13a1e-906a-4da8-b98b-0e300ab5b8b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#delete and empty the MODELS folder\n",
    "!rm -rf /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c18d664-3e44-45a6-a25c-8402e590e5b7",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fd2524d-8d7e-4809-af5e-763c650723c2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!ldconfig -p | grep libgthread-2.0.so.0\n",
    "!apt-get install libglib2.0-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c518ead-677f-42f0-a67f-1d30327fec10",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "1d0a3313-0c65-44ef-b89e-459fa779e84b",
   "metadata": {},
   "source": [
    "START CLEAN EVERYTHING ONLY IF YOU HAVE ERROR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ad6a08b-34a4-4a73-b618-38715a895bd2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Check the storage available (if storage full, can cause problem)\n",
    "!df -h | grep -E 'Avail|home'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aaea3473-1ac6-40d8-98c2-a29386ca147e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#List all folders and sizes\n",
    "!du -h --max-depth=1 /home/studio-lab-user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab02c781-46ea-4f07-8c4b-f329069d903b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#clean remove all env, cache and file\n",
    "!rm -r /home/studio-lab-user/.cache\n",
    "!rm -r /home/studio-lab-user/.conda\n",
    "!conda remove -n \"env_name\" --all\n",
    "!rm -rf /home/studio-lab-user/*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baaf8967-78f3-4b63-9427-313bffa67a93",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bf5499c3-18fb-4325-8c37-5298751e4f97",
   "metadata": {},
   "source": [
    "BELOW ONLY FOR TROUBLESHOOTING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38f3b678-ce14-47c8-b8ca-5b2295fc628c",
   "metadata": {},
   "outputs": [],
   "source": [
    "%cd ~/stable-diffusion-webui\n",
    "!pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c7131fd-9ce7-4c3c-861c-a3acc252c086",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%cd ~/stable-diffusion-webui\n",
    "!python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --ngrok auth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5bb61644-e972-402e-aff6-c6445ff99965",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "torch.cuda.get_device_name(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6a8c055-4668-40cd-aa41-8bc6474c9ff0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "print(torch.version.cuda)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b3f9867-000e-43f4-9b04-ae5c0d9166bd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip uninstall torchvision -y\n",
    "!pip uninstall torch -y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d990595-7f34-4946-9a21-197306222434",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install torchvision==0.10.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b85fa10-c03f-4942-a227-02d1cbe90f4a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install torch==1.10.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abc7178a-c5b7-4722-8e9e-728308d83d70",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install xformers==0.0.20 tomesd==0.1.3 pytorch-lightning==1.9.4 accelerate==0.21.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "577b9843-0e8c-4dd8-aa02-8eaf8c51f1d8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!conda install -c conda-forge libglib -y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f24321a3-700a-47e9-8995-0893dd2f834f",
   "metadata": {},
   "outputs": [],
   "source": [
    "!apt-get install -y -qq software-properties-common module-init-tools\n",
    "!add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null\n",
    "!apt-get update -qq 2>&1 > /dev/null\n",
    "!apt-get -y install -qq google-drive-ocamlfuse fuse\n",
    "\n",
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26076645-8f66-41e3-8627-3bfbfc4f07f3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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