stable diffusion.ipynb

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          "model_name": "DescriptionStyleModel",
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          "state": {
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SURESHBEEKHANI/LLM_PROJECT/blob/main/stable%20diffusion.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install diffusers"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pdsTiLgzc1Af",
        "outputId": "02b172a2-219c-484e-803d-1f72e4d16850"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting diffusers\n",
            "  Downloading diffusers-0.26.3-py3-none-any.whl (1.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m9.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers) (7.0.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers) (3.13.1)\n",
            "Requirement already satisfied: huggingface-hub>=0.20.2 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.20.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers) (1.25.2)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers) (2023.12.25)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers) (2.31.0)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.4.2)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers) (9.4.0)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.20.2->diffusers) (2023.6.0)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.20.2->diffusers) (4.66.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.20.2->diffusers) (6.0.1)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.20.2->diffusers) (4.9.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.20.2->diffusers) (23.2)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers) (3.17.0)\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) (3.6)\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) (2024.2.2)\n",
            "Installing collected packages: diffusers\n",
            "Successfully installed diffusers-0.26.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "ydtFUdZZXgBE"
      },
      "outputs": [],
      "source": [
        "#Task is text to image generation\n",
        "# Importing the transformers library for working with pre-trained models and natural language processing tasks\n",
        "import transformers\n",
        "\n",
        "# Importing the pipeline module from the transformers library, which provides easy-to-use interfaces for various NLP tasks\n",
        "from transformers import pipeline\n",
        "\n",
        "# Importing the diffusers library for leveraging the Diffusion models\n",
        "import diffusers\n",
        "\n",
        "# Importing the StableDiffusionPipeline class from the diffusers library, which allows utilizing Diffusion models in pipelines\n",
        "from diffusers import StableDiffusionPipeline\n",
        "\n",
        "# Importing the torch library, which is a prerequisite for using Diffusion models as they are built on PyTorch\n",
        "import torch\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the model_id variable to the identifier of the pre-trained model provided by RunwayML.\n",
        "model_id = \"runwayml/stable-diffusion-v1-5\"\n",
        "\n",
        "# Load the pre-trained model pipeline using the specified model_id, and configure it to use a specific data type for computation (torch.float16).\n",
        "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n",
        "\n",
        "# Move the model pipeline to the GPU for faster processing.\n",
        "pipe = pipe.to(\"cuda\")\n",
        "\n",
        "# Define the text prompt, which is the input to the model. This prompt will generate an image based on its content.\n",
        "prompt = \"fight two Young main\"\n",
        "\n",
        "# Generate an image based on the input prompt using the pre-trained model pipeline. The generated image will be stored in the 'images' attribute of the result, and the first image is selected with [0].\n",
        "image = pipe(prompt).images[0]\n",
        "\n",
        "# Save the generated image to a file named \"astronaut_rides_horse.png\".\n",
        "image.save(\"astronaut_rides_horse.png\")\n"
      ],
      "metadata": {
        "id": "O_2vJANCZuYY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240,
          "referenced_widgets": [
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        "outputId": "ca688aef-f653-439d-a505-92e11853899a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Cannot initialize model with low cpu memory usage because `accelerate` was not found in the environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install `accelerate` for faster and less memory-intense model loading. You can do so with: \n",
            "```\n",
            "pip install accelerate\n",
            "```\n",
            ".\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "91dabc21491a44d1a86161e8d2b83fb0"
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        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"bos_token_id\"]` will be overriden.\n",
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"eos_token_id\"]` will be overriden.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/50 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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}