{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# stablediffusion-infinity\n",
        "\n",
        "https://github.com/lkwq007/stablediffusion-infinity\n",
        "\n",
        "Outpainting with Stable Diffusion on an infinite canvas"
      ],
      "metadata": {
        "id": "IgN1jqV_DemW"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JvbfNNSJDTW5"
      },
      "outputs": [],
      "source": [
        "#@title setup libs\n",
        "!nvidia-smi -L\n",
        "!pip install -qq -U diffusers==0.11.1 transformers ftfy accelerate\n",
        "!pip install -q gradio==3.11.0\n",
        "!pip install -q fpie timm\n",
        "!pip uninstall taichi -y"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title setup stablediffusion-infinity\n",
        "!git clone --recurse-submodules https://github.com/lkwq007/stablediffusion-infinity\n",
        "%cd stablediffusion-infinity\n",
        "!cp -r PyPatchMatch/csrc .\n",
        "!cp PyPatchMatch/Makefile .\n",
        "!cp PyPatchMatch/Makefile_fallback .\n",
        "!cp PyPatchMatch/travis.sh .\n",
        "!cp PyPatchMatch/patch_match.py . "
      ],
      "metadata": {
        "id": "D1BDhQCJDilE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title start stablediffusion-infinity (first setup may takes about two minutes for downloading models)\n",
        "!python app.py --share"
      ],
      "metadata": {
        "id": "UGotC5ckDlmO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "R1-E07CMFZoj"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}