Copy_of_MODEL.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/khirds/AugLPN_NILM/blob/main/Copy_of_MODEL.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "HPaGv8nkMc0K",
        "outputId": "1586252d-ffd8-4660-f56f-434bf2097c43"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting diffusers\n",
            "  Downloading diffusers-0.30.2-py3-none-any.whl.metadata (18 kB)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.42.4)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.4.0+cu121)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers) (8.4.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers) (3.15.4)\n",
            "Requirement already satisfied: huggingface-hub>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.23.5)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers) (1.26.4)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers) (2024.5.15)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers) (2.32.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.4.4)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers) (9.4.0)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.2)\n",
            "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.5)\n",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch) (4.12.2)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch) (1.13.2)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (3.3)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.4)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2024.6.1)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers) (3.20.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (2.1.5)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (3.8)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (2024.7.4)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch) (1.3.0)\n",
            "Downloading diffusers-0.30.2-py3-none-any.whl (2.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.6/2.6 MB\u001b[0m \u001b[31m38.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: diffusers\n",
            "Successfully installed diffusers-0.30.2\n"
          ]
        }
      ],
      "source": [
        "!pip install diffusers transformers torch\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "BArn30FAMfhC"
      },
      "outputs": [],
      "source": [
        "# import torch\n",
        "# from diffusers import DiffusionPipeline\n",
        "# from PIL import Image\n",
        "\n",
        "# # Load the Stable Diffusion pipeline\n",
        "# device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "# pipeline = DiffusionPipeline.from_pretrained(\"CompVis/stable-diffusion-v1-4\").to(device)\n",
        "\n",
        "# # Function to generate an image\n",
        "# def generate_image(prompt, num_inference_steps=50):\n",
        "#     with torch.no_grad():\n",
        "#         image = pipeline(prompt, num_inference_steps=num_inference_steps)[\"sample\"][0]\n",
        "#         return image\n",
        "\n",
        "# # Example prompt\n",
        "# prompt = \"A futuristic city skyline at sunset\"\n",
        "# image = generate_image(prompt)\n",
        "\n",
        "# # Display the generated image\n",
        "# image.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-TZOTvfsWI5a"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "from diffusers import DiffusionPipeline\n",
        "from PIL import Image\n",
        "\n",
        "# Load the Stable Diffusion pipeline\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "pipeline = DiffusionPipeline.from_pretrained(\"CompVis/stable-diffusion-v1-4\").to(device)\n",
        "\n",
        "# Function to generate an image\n",
        "def generate_image(prompt, num_inference_steps=50):\n",
        "    with torch.no_grad():\n",
        "        output = pipeline(prompt, num_inference_steps=num_inference_steps)\n",
        "        image = output.images[0]  # Adjusted to match the correct key\n",
        "        return image\n",
        "\n",
        "# Example prompt\n",
        "prompt = \"snowy Mountain with a river valley \"\n",
        "image = generate_image(prompt)\n",
        "\n",
        "# Display the generated image\n",
        "image.show()\n"
      ],
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        "id": "s1uuS-S5WtuV",
        "outputId": "26ae3a05-35f6-461d-8b26-4ad43035b61a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
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            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: 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",
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            "  warnings.warn(\n"
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        "image.save(\"generated_image.png\")\n"
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      "execution_count": 6,
      "outputs": []
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