stable-diffusion-paperspace/other/Cyberes_Textual_Inversion_Training.ipynb

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   "source": [
    "%cd /notebooks/\n",
    "# Download and run the Anaconda3 installer\n",
    "import sys\n",
    "!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
    "!bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n",
    "sys.path.append('/usr/local/lib/python3.7/site-packages/')\n",
    "!rm Miniconda3-latest-Linux-x86_64.sh\n",
    "!conda init bash\n",
    "!mkdir -p /notebooks/textual\\ inversion/\n",
    "!mkdir -p /notebooks/Stable-textual-inversion_win/logs/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5743d8c-f0ba-4f07-971b-b498b0e306f4",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os.path\n",
    "if not os.path.exists('/notebooks/Stable-textual-inversion_win'):\n",
    "    %cd /notebooks/\n",
    "    !git clone https://github.com/nicolai256/Stable-textual-inversion_win.git\n",
    "    !mkdir -p /notebooks/textual\\ inversion/\n",
    "    \n",
    "#     Uncomment this to copy the detault config\n",
    "    # !cp /notebooks/Stable-textual-inversion_win/configs/stable-diffusion/v1-finetune.yaml /notebooks/textual\\ inversion\n",
    "else: # update repo if already exists\n",
    "    print('stable-diffusion-webui already downloaded, updating...')\n",
    "    %cd /notebooks/Stable-textual-inversion_win\n",
    "    !git pull\n",
    "    \n",
    "# Symlink the output dir to /notebooks/\n",
    "!mkdir -p /notebooks/textual\\ inversion/output/\n",
    "!ln -s /notebooks/Stable-textual-inversion_win/logs/ \"/notebooks/textual inversion/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "scrolled": true,
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   "source": [
    "%cd /notebooks/Stable-textual-inversion_win/\n",
    "!conda env update -n base --file environment.yaml\n",
    "!conda activate ldm\n",
    "!pip install setuptools==59.5.0\n",
    "!pip install pillow==9.0.1\n",
    "!pip install torchmetrics==0.6.0\n",
    "!pip install -e ."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e201a6a3-b488-41c7-91d0-c9863f51e178",
   "metadata": {},
   "source": [
    "Now upload the images you want to feed into the AI to `/notebooks/textual inversion/source/`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa5eda42-c1c6-47b9-80ce-39b777c77bb5",
   "metadata": {
    "scrolled": true,
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   "outputs": [],
   "source": [
    "# Config\n",
    "\n",
    "config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
    "\n",
    "# Directory holding the images you want to feed into the AI\n",
    "source_image_directory = '/notebooks/textual inversion/source/'\n",
    "\n",
    "# Word to activate the embedding in the SD WebUI\n",
    "init_word = 'bananas'\n",
    "\n",
    "project_name = 'bananas'\n",
    "\n",
    "actual_resume = '/storage/models/sd-v1-4.ckpt'\n",
    "\n",
    "# ============================================================================================================\n",
    "\n",
    "!rm -rf \"{source_image_directory}/.ipynb_checkpoints\"\n",
    "%cd /notebooks/Stable-textual-inversion_win/\n",
    "!python main.py \\\n",
    " --base \"{config_path}\" \\\n",
    " -t --no-test \\\n",
    " --actual_resume \"{actual_resume}\" \\\n",
    " --gpus=1  \\\n",
    " --data_root \"{source_image_directory}\" \\\n",
    " --init_word {init_word} \\\n",
    " -n {project_name} \\"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be231cb1-a562-48ac-abb7-2cbee730c9a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resuming\n",
    "\n",
    "# Config\n",
    "\n",
    "config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
    "\n",
    "# Directory holding the images you want to feed into the AI\n",
    "source_image_directory = '/notebooks/textual inversion/source/'\n",
    "\n",
    "# Word to activate the embedding in the SD WebUI\n",
    "init_word = 'bananas'\n",
    "\n",
    "project_path = '/notebooks/textual inversion/logs/<name of folder you last trained>'\n",
    "\n",
    "actual_resume = '/storage/models/sd-v1-4.ckpt'\n",
    "\n",
    "# ============================================================================================================\n",
    "\n",
    "from datetime import datetime\n",
    "datetime_str = datetime.now().strftime('%m-%d-%Y_%H-%M-%S')\n",
    "\n",
    "!rm -rf \"{source_image_directory}/.ipynb_checkpoints\"\n",
    "!python \"main.py\" \\\n",
    " --base \"{config_path}\" \\\n",
    " -t --no-test \\\n",
    " --actual_resume \"{actual_resume}\" \\\n",
    " --gpus=1 \\\n",
    " --data_root \"{source_image_directory}\" \\\n",
    " --init_word \"{init_word}\" \\\n",
    " --project \"{project_path}\" \\\n",
    " --embedding_manager_ckpt \"{project_path}/checkpoints/embeddings.pt\" \\\n",
    " --resume_from_checkpoint \"{project_path}/checkpoints/last.ckpt\" \\\n",
    " -n \"{init_word}_continue_{datetime_str}\""
   ]
  }
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