Johnsons_Fork_240216_T4_free_colab_of_Stable_Cascade.ipynb

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            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d7da5d7e5f5b4cb0a3c22b87e3a10c9d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MushroomFleet/StableCascade-text2image/blob/main/Johnsons_Fork_240216_T4_free_colab_of_Stable_Cascade.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## T4 Colab - Stable Cascade Txt2img\n",
        "Original Author [@mkshing](https://github.com/mkshing) - Forked by Drift Johnson\n",
        "tested running with T4 and no high memory option. restricted to 1024x512 max or it will explode"
      ],
      "metadata": {
        "id": "_oz7OJFZYZ1Q"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# INSTALL Cascade"
      ],
      "metadata": {
        "id": "s1qExCe654lb"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oIZNNOKOrRdz",
        "outputId": "f054f7dc-84f1-46b4-9dde-2b12971b9fd5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Git LFS initialized.\n",
            "fatal: destination path 'stable-cascade' already exists and is not an empty directory.\n",
            "/content/stable-cascade\n",
            "Collecting git+https://github.com/kashif/diffusers.git@diffusers-yield-callback (from -r /content/stable-cascade/requirements.txt (line 1))\n",
            "  Cloning https://github.com/kashif/diffusers.git (to revision diffusers-yield-callback) to /tmp/pip-req-build-r4a6jpg8\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/kashif/diffusers.git /tmp/pip-req-build-r4a6jpg8\n",
            "  Running command git checkout -b diffusers-yield-callback --track origin/diffusers-yield-callback\n",
            "  Switched to a new branch 'diffusers-yield-callback'\n",
            "  Branch 'diffusers-yield-callback' set up to track remote branch 'diffusers-yield-callback' from 'origin'.\n",
            "  Resolved https://github.com/kashif/diffusers.git to commit c4d20110774dbcc6ada7e62b290500f8ad777fba\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gradio==4.18.0 (from -r /content/stable-cascade/requirements.txt (line 2))\n",
            "  Using cached https://gradio-builds.s3.amazonaws.com/aabb08191a7d94d2a1e9ff87b0d3c3987cd519c5/gradio-4.18.0-py3-none-any.whl (16.6 MB)\n",
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (from -r /content/stable-cascade/requirements.txt (line 3)) (0.27.2)\n",
            "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from -r /content/stable-cascade/requirements.txt (line 4)) (0.4.2)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (from -r /content/stable-cascade/requirements.txt (line 5)) (4.35.2)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (7.0.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (3.13.1)\n",
            "Requirement already satisfied: huggingface-hub>=0.20.2 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (0.20.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (1.25.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (2023.12.25)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (2.31.0)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (9.4.0)\n",
            "Requirement already satisfied: aiofiles<24.0,>=22.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (23.2.1)\n",
            "Requirement already satisfied: altair<6.0,>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (4.2.2)\n",
            "Requirement already satisfied: fastapi in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.109.2)\n",
            "Requirement already satisfied: ffmpy in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.3.2)\n",
            "Requirement already satisfied: gradio-client==0.10.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.10.0)\n",
            "Requirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.26.0)\n",
            "Requirement already satisfied: importlib-resources<7.0,>=1.3 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (6.1.1)\n",
            "Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (3.1.3)\n",
            "Requirement already satisfied: markupsafe~=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.1.5)\n",
            "Requirement already satisfied: matplotlib~=3.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (3.7.1)\n",
            "Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (3.9.14)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (23.2)\n",
            "Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.5.3)\n",
            "Requirement already satisfied: pydantic>=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.6.1)\n",
            "Requirement already satisfied: pydub in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.25.1)\n",
            "Requirement already satisfied: python-multipart in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.0.9)\n",
            "Requirement already satisfied: pyyaml<7.0,>=5.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (6.0.1)\n",
            "Requirement already satisfied: ruff>=0.1.7 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.2.1)\n",
            "Requirement already satisfied: semantic-version~=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.10.0)\n",
            "Requirement already satisfied: tomlkit==0.12.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.12.0)\n",
            "Requirement already satisfied: typer[all]<1.0,>=0.9 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.9.0)\n",
            "Requirement already satisfied: typing-extensions~=4.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (4.9.0)\n",
            "Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.27.1)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from gradio-client==0.10.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2023.6.0)\n",
            "Requirement already satisfied: websockets<12.0,>=10.0 in /usr/local/lib/python3.10/dist-packages (from gradio-client==0.10.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (11.0.3)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (5.9.5)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (2.2.0+cu118)\n",
            "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers->-r /content/stable-cascade/requirements.txt (line 5)) (0.15.2)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers->-r /content/stable-cascade/requirements.txt (line 5)) (4.66.2)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.4)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (4.19.2)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.12.1)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (4.48.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.4.5)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (3.1.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3.0,>=1.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2023.4)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic>=2.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.6.0)\n",
            "Requirement already satisfied: pydantic-core==2.16.2 in /usr/local/lib/python3.10/dist-packages (from pydantic>=2.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.16.2)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (3.2.1)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.8.89 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.8.87)\n",
            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (8.7.0.84)\n",
            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.11.3.6)\n",
            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (10.9.0.58)\n",
            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (10.3.0.86)\n",
            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.4.1.48)\n",
            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.7.5.86)\n",
            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (11.8.86)\n",
            "Requirement already satisfied: triton==2.2.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (2.2.0)\n",
            "Requirement already satisfied: click<9.0.0,>=7.1.1 in /usr/local/lib/python3.10/dist-packages (from typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (8.1.7)\n",
            "Requirement already satisfied: colorama<0.5.0,>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.4.6)\n",
            "Requirement already satisfied: shellingham<2.0.0,>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.5.4)\n",
            "Requirement already satisfied: rich<14.0.0,>=10.11.0 in /usr/local/lib/python3.10/dist-packages (from typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (13.7.0)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.10/dist-packages (from uvicorn>=0.14.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.14.0)\n",
            "Requirement already satisfied: starlette<0.37.0,>=0.36.3 in /usr/local/lib/python3.10/dist-packages (from fastapi->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.36.3)\n",
            "Requirement already satisfied: anyio in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (3.7.1)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2024.2.2)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers==0.27.0.dev0->-r /content/stable-cascade/requirements.txt (line 1)) (3.3.2)\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.16.0)\n",
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            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (2.16.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio->httpx->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (1.2.0)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate->-r /content/stable-cascade/requirements.txt (line 3)) (1.3.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.18.0->-r /content/stable-cascade/requirements.txt (line 2)) (0.1.2)\n",
            "Found existing installation: torch 2.2.0+cu118\n",
            "Uninstalling torch-2.2.0+cu118:\n",
            "  Successfully uninstalled torch-2.2.0+cu118\n",
            "Found existing installation: torchvision 0.17.0+cu118\n",
            "Uninstalling torchvision-0.17.0+cu118:\n",
            "  Successfully uninstalled torchvision-0.17.0+cu118\n",
            "Found existing installation: torchaudio 2.2.0+cu118\n",
            "Uninstalling torchaudio-2.2.0+cu118:\n",
            "  Successfully uninstalled torchaudio-2.2.0+cu118\n",
            "Looking in indexes: https://download.pytorch.org/whl/cu118\n",
            "Collecting torch\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torch-2.2.0%2Bcu118-cp310-cp310-linux_x86_64.whl (811.7 MB)\n",
            "Collecting torchvision\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torchvision-0.17.0%2Bcu118-cp310-cp310-linux_x86_64.whl (6.2 MB)\n",
            "Collecting torchaudio\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.2.0%2Bcu118-cp310-cp310-linux_x86_64.whl (3.3 MB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.13.1)\n",
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            "Installing collected packages: torch, torchvision, torchaudio\n",
            "Successfully installed torch-2.2.0+cu118 torchaudio-2.2.0+cu118 torchvision-0.17.0+cu118\n",
            "Found existing installation: torchdata 0.7.1\n",
            "Uninstalling torchdata-0.7.1:\n",
            "  Successfully uninstalled torchdata-0.7.1\n",
            "Found existing installation: torchtext 0.17.0\n",
            "Uninstalling torchtext-0.17.0:\n",
            "  Successfully uninstalled torchtext-0.17.0\n",
            "Collecting torchdata\n",
            "  Using cached torchdata-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB)\n",
            "Collecting torchtext\n",
            "  Using cached torchtext-0.17.0-cp310-cp310-manylinux1_x86_64.whl (2.0 MB)\n",
            "Requirement already satisfied: urllib3>=1.25 in /usr/local/lib/python3.10/dist-packages (from torchdata) (2.0.7)\n",
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            "Installing collected packages: torchdata, torchtext\n",
            "Successfully installed torchdata-0.7.1 torchtext-0.17.0\n"
          ]
        }
      ],
      "source": [
        "%cd /content/\n",
        "!git lfs install\n",
        "!git clone https://huggingface.co/spaces/multimodalart/stable-cascade\n",
        "%cd /content/stable-cascade\n",
        "!pip install -r /content/stable-cascade/requirements.txt\n",
        "!pip3 uninstall torch torchvision torchaudio -y\n",
        "!pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118\n",
        "!pip uninstall torchdata torchtext -y\n",
        "!pip install torchdata torchtext"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# LOAD Cascade"
      ],
      "metadata": {
        "id": "RspPntQA5xWS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import numpy as np\n",
        "from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline\n",
        "from diffusers.utils import numpy_to_pil\n",
        "\n",
        "# Assuming the environment setup and model loading is done as per your script\n",
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
        "dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32\n",
        "\n",
        "# Initialize pipelines (ensure this matches your environment's setup)\n",
        "prior_pipeline = StableCascadePriorPipeline.from_pretrained(\"stabilityai/stable-cascade-prior\", torch_dtype=dtype).to(device)\n",
        "decoder_pipeline = StableCascadeDecoderPipeline.from_pretrained(\"stabilityai/stable-cascade\", torch_dtype=dtype).to(device)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483,
          "referenced_widgets": [
            "d05e08a55af74655a3d7ac07e52f113b",
            "eee8703292e34dbb89a7601792e43e13",
            "9c474844c481437f958487968eff6243",
            "f6aa4601ad35498292a50d3fe2681ab6",
            "8d4e5d0bf35943628fb650d7aa903287",
            "3277a1415105410899a203b8fb35a958",
            "45f0a1e92f9e4c6d92d169af1f5a9a3b",
            "a9bbe875650e44dcb810527dc800a934",
            "c692bfa696854e4d917c5c6e4865aa53",
            "45b4bc263c0c456d86c2884910c90a74",
            "f5e27973823e4e7eb842a4ee965af088",
            "ef31618eede840729a8acc05af431c48",
            "f3066c86fe92415d9552bf4d4b800eac",
            "8605572879aa493f89d4c2f9c0741316",
            "d698101fa7574ce4bac3685ba81a6161",
            "a7a11c439be247f88e558ccd09269472",
            "340c76b821e64a66b724c5d01e6cdb2a",
            "79ac0be3fb9a449b859e6d4d444da967",
            "b428d33a1a9b4c3a96f97ef20d1c907d",
            "d6008fe8d3cd4fbd8ca6ef02deabdcbc",
            "c789418d06a84750959cbb628574f501",
            "b7e7b919595347c0b27dbe0cc78eae81"
          ]
        },
        "id": "_cJn2VdMruLO",
        "outputId": "529252e0-e2e1-4b1e-c266-f40e53159e9b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  _torch_pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  _torch_pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  _torch_pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  torch.utils._pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  torch.utils._pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  torch.utils._pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
            "  torch.utils._pytree._register_pytree_node(\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/6 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d05e08a55af74655a3d7ac07e52f113b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/diffusers/models/lora.py:384: FutureWarning: `LoRACompatibleLinear` is deprecated and will be removed in version 1.0.0. Use of `LoRACompatibleLinear` is deprecated. Please switch to PEFT backend by installing PEFT: `pip install peft`.\n",
            "  deprecate(\"LoRACompatibleLinear\", \"1.0.0\", deprecation_message)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/5 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ef31618eede840729a8acc05af431c48"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Generate a image  (1024x512  requires 13.6gb)"
      ],
      "metadata": {
        "id": "Pz0-vZNc6PkB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @markdown ### **Prompt**\n",
        "pos_prompt = \"A tabby cat riding on a skateboard down streets of new york\" # @param {type:\"string\"}\n",
        "# @markdown ### **Width**\n",
        "Bwidth = 1024 # @param {type:\"number\"}\n",
        "# @markdown ### **Height**\n",
        "Bheight = 1024 # @param {type:\"number\"}\n",
        "# @markdown ### **Width**\n",
        "Cwidth = 1024 # @param {type:\"number\"}\n",
        "# @markdown ### **Height**\n",
        "Cheight = 512 # @param {type:\"number\"}\n",
        "\n",
        "# @markdown ### **Prior Guidance Scale**\n",
        "Uprior_guidance_scale = 7.5 # @param {type:\"number\"}\n",
        "# @markdown ### **Decoder Guidance Scale**\n",
        "Udecoder_guidance_scale = 0.0 # @param {type:\"number\"}\n",
        "# @markdown ### **Steps**\n",
        "Unum_inference_steps = 50 # @param {type:\"number\"}\n",
        "# @markdown ### **Batch**\n",
        "Unum_images_per_prompt = 1 # @param {type:\"number\"}\n",
        "\n",
        "import random\n",
        "import re\n",
        "\n",
        "\n",
        "Random_seed = random.randint(0, 6969)\n",
        "\n",
        "def generate_image(prompt, seed=Random_seed, width=Bwidth, height=Bheight, prior_guidance_scale=Uprior_guidance_scale, decoder_guidance_scale=Udecoder_guidance_scale, num_inference_steps=Unum_inference_steps, num_images_per_prompt=Unum_images_per_prompt):\n",
        "    # Set seed for reproducibility\n",
        "    Random_seed = random.randint(0, 6969)\n",
        "    generator = torch.Generator(device=device).manual_seed(seed)\n",
        "\n",
        "    # Generate with Prior\n",
        "    prior_results = prior_pipeline(\n",
        "        prompt=prompt,\n",
        "        height=height,\n",
        "        width=width,\n",
        "        num_inference_steps=num_inference_steps,\n",
        "        guidance_scale=prior_guidance_scale,\n",
        "        num_images_per_prompt=num_images_per_prompt,  # Assuming this is supported\n",
        "        generator=generator\n",
        "    )\n",
        "\n",
        "    # Extract image embeddings from the generator object\n",
        "    image_embeddings = None\n",
        "    for result in prior_results:\n",
        "        if 'image_embeddings' in result:\n",
        "            image_embeddings = result['image_embeddings']\n",
        "            break\n",
        "\n",
        "    if image_embeddings is None:\n",
        "        raise ValueError(\"Failed to generate image embeddings from the prior pipeline\")\n",
        "\n",
        "    # Generate with Decoder\n",
        "    decoder_output = decoder_pipeline(\n",
        "        image_embeddings=image_embeddings,\n",
        "        prompt=prompt,\n",
        "        num_inference_steps=num_inference_steps,\n",
        "        guidance_scale=decoder_guidance_scale,\n",
        "        num_images_per_prompt=num_images_per_prompt,  # Assuming this is correctly applied\n",
        "        generator=generator,\n",
        "        output_type=\"pil\"\n",
        "    )\n",
        "\n",
        "    return decoder_output.images[0]  # Returns the first (and expected only) generated image\n",
        "\n",
        "# Example usage\n",
        "if __name__ == \"__main__\":\n",
        "    prompt = pos_prompt\n",
        "    Random_seed = random.randint(0, 6969)  # Ensure you have imported random and generated Random_seed\n",
        "\n",
        "    # Truncate the prompt to a reasonable length and replace spaces with underscores\n",
        "    safe_prompt = re.sub(r'[^\\w\\s-]', '', prompt)[:50].strip().replace(' ', '_')\n",
        "\n",
        "    # Generate the image\n",
        "    image = generate_image(prompt, num_images_per_prompt=Unum_images_per_prompt, seed=Random_seed, width=Cwidth, height=Cheight, prior_guidance_scale=Uprior_guidance_scale, decoder_guidance_scale=Udecoder_guidance_scale, num_inference_steps=Unum_inference_steps)\n",
        "\n",
        "    # Format the filename with the sanitized prompt and seed\n",
        "    filename = f\"/content/{safe_prompt}_{Random_seed}.png\"\n",
        "\n",
        "    # Save the image\n",
        "    image.save(filename)\n",
        "    print(f\"Image saved as {filename}\")\n",
        "    image.show()"
      ],
      "metadata": {
        "id": "SdWsqrDrVUvK",
        "outputId": "2d5de325-b0af-4063-ae36-d03ea4aacf17",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98,
          "referenced_widgets": [
            "f5814d89f08b4a67bd77fb62792d8ad4",
            "f5e718db9f8043b785dd632170883909",
            "bf36239399b64d1eb28b255d8737f587",
            "64f13b6914e64f04a54f366d2e45d332",
            "4990a4f9339b4f90978be571fe4e1fa3",
            "a06b568f3f5b4cf8a19b5aa99563fc14",
            "c19d38f221ea4805908733d0c7f71084",
            "f9d71dd0edfb4ce88b99deb632627f7e",
            "454f5b56dcd24372b064b3afda19ae92",
            "cf664eb15b3d4d35b2321a329d80ee03",
            "214f5b7d9b6f4772aecf9b8666056b95",
            "74290154927f49acb468f74714e9508c",
            "65dd7c1bb8054d38990d54ac6b8f4f02",
            "f89d180e5a38465894da43c4a9c88176",
            "c64e1cb2d9e94f949f873752c91c5c55",
            "5cae3645253d463098c310eec6dd244c",
            "371e419fbe8a4df0b78f2436c9d518d8",
            "813cf78d050f4b179f3f2ea15776c705",
            "dec579cdf5f5471899a869df687e3902",
            "ddcbbb2350434fb1aff7e620bd2efa06",
            "bba82e2263464ecfbb02e2cc9afa8a49",
            "d7da5d7e5f5b4cb0a3c22b87e3a10c9d"
          ]
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/50 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f5814d89f08b4a67bd77fb62792d8ad4"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/50 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "74290154927f49acb468f74714e9508c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Image saved as /content/A_tabby_cat_riding_on_a_skateboard_down_streets_of_5601.png\n"
          ]
        }
      ]
    }
  ]
}