clip-interrogator/clip_interrogator.ipynb

{
  "cells": [
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      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "# CLIP Interrogator 2 by [@pharmapsychotic](https://twitter.com/pharmapsychotic) \n",
        "\n",
        "<br>\n",
        "\n",
        "Want to figure out what a good prompt might be to create new images like an existing one? The CLIP Interrogator is here to get you answers!\n",
        "\n",
        "<br>\n",
        "\n",
        "This version is specialized for producing nice prompts for use with Stable Diffusion and achieves higher alignment between generated text prompt and source image. You can try out the old [version 1](https://colab.research.google.com/github/pharmapsychotic/clip-interrogator/blob/v1/clip_interrogator.ipynb) to see how different CLIP models ranks terms. \n",
        "\n",
        "<br>\n",
        "\n",
        "If this notebook is helpful to you please consider buying me a coffee via [ko-fi](https://ko-fi.com/pharmapsychotic) or following me on [twitter](https://twitter.com/pharmapsychotic) for more cool Ai stuff. 🙂\n",
        "\n",
        "And if you're looking for more Ai art tools check out my [Ai generative art tools list](https://pharmapsychotic.com/tools.html).\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "aP9FjmWxtLKJ"
      },
      "outputs": [],
      "source": [
        "#@title Check GPU\n",
        "!nvidia-smi -L"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "xpPKQR40qvz2"
      },
      "outputs": [],
      "source": [
        "#@title Setup\n",
        "import argparse, subprocess, sys, time\n",
        "\n",
        "def setup():\n",
        "    install_cmds = [\n",
        "        ['pip', 'install', 'ftfy', 'regex', 'tqdm', 'transformers==4.21.2', 'timm', 'fairscale', 'requests'],\n",
        "        ['pip', 'install', '-e', 'git+https://github.com/openai/CLIP.git@main#egg=clip'],\n",
        "        ['pip', 'install', '-e', 'git+https://github.com/pharmapsychotic/BLIP.git@lib#egg=blip'],\n",
        "        ['git', 'clone', '-b', 'lib', 'https://github.com/pharmapsychotic/clip-interrogator.git']\n",
        "    ]\n",
        "    for cmd in install_cmds:\n",
        "        print(subprocess.run(cmd, stdout=subprocess.PIPE).stdout.decode('utf-8'))\n",
        "\n",
        "setup()\n",
        "\n",
        "import sys\n",
        "sys.path.append('src/blip')\n",
        "sys.path.append('src/clip')\n",
        "sys.path.append('clip-interrogator')\n",
        "\n",
        "import clip\n",
        "import io\n",
        "import IPython\n",
        "import ipywidgets as widgets\n",
        "import requests\n",
        "import torch\n",
        "\n",
        "from PIL import Image\n",
        "\n",
        "from clip_interrogator import CLIPInterrogator, Config\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Load CLIP Interrogator\n",
        "DATA_PATH = 'clip-interrogator/data'\n",
        "clip_model_name = 'ViT-L/14' #@param ['ViT-B/32', 'ViT-B/16', 'ViT-L/14', 'ViT-L/14@336px', 'RN101', 'RN50', 'RN50x4', 'RN50x16', 'RN50x64'] {type:'string'}\n",
        "\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "config = Config(device=device, clip_model_name=clip_model_name, data_path=DATA_PATH)\n",
        "interrogator = CLIPInterrogator(config)\n"
      ],
      "metadata": {
        "cellView": "form",
        "id": "8tav1bc_H3bs"
      },
      "execution_count": null,
      "outputs": []
    },
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            "text/plain": [
              "VBox(children=(HBox(children=(Label(value='image url:'), Text(value='https://cdnb.artstation.com/p/assets/imag…"
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          "text": [
            "\n",
            "\n",
            "\n"
          ]
        },
        {
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          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=238x384 at 0x7F3E0A1DBA50>"
            ],
            "image/png": "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              "VBox(children=(Textarea(value='a man standing on a ledge in a futuristic city, cyberpunk art, retrofuturism, t…"
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      "source": [
        "#@title Interrogate\n",
        "\n",
        "#@markdown Run this cell and then paste a link to an image or upload an image in the UI. Then click the Interrogate button to get a prompt suggestion.\n",
        "\n",
        "image_url = 'https://cdnb.artstation.com/p/assets/images/images/032/142/769/large/ignacio-bazan-lazcano-book-4-final.jpg'\n",
        "\n",
        "def show_ui():\n",
        "    go_button = widgets.Button(\n",
        "        description='Interrogate!',\n",
        "        disabled=False,\n",
        "        button_style='',\n",
        "        tooltip='Click me'\n",
        "    )\n",
        "    image_txt = widgets.Text(\n",
        "        value=image_url, \n",
        "        description='', \n",
        "        layout=widgets.Layout(width='50%')\n",
        "    )\n",
        "    uploader = widgets.FileUpload(accept='image/*', multiple=False)\n",
        "\n",
        "    ui = widgets.VBox([\n",
        "        widgets.HBox([widgets.Label('image url:'), image_txt]),\n",
        "        widgets.HBox([widgets.Label('or upload:'), uploader]),\n",
        "        widgets.Label(''),\n",
        "        go_button\n",
        "    ])\n",
        "\n",
        "    def go(btn):\n",
        "        image_url = image_txt.value\n",
        "        if len(uploader.value):\n",
        "            print(uploader.value)\n",
        "            print(uploader.value.items())\n",
        "            for name, file_info in uploader.value.items():\n",
        "                image = Image.open(io.BytesIO(file_info['content'])).convert('RGB')\n",
        "                break\n",
        "        else:\n",
        "            if str(image_url).startswith('http://') or str(image_url).startswith('https://'):\n",
        "                image = Image.open(requests.get(image_url, stream=True).raw).convert('RGB')\n",
        "            else:\n",
        "                image = Image.open(image_url).convert('RGB')\n",
        "\n",
        "        IPython.display.clear_output()\n",
        "        print('\\n\\n')\n",
        "        thumb = image.copy()\n",
        "        thumb.thumbnail([config.blip_image_eval_size, config.blip_image_eval_size])\n",
        "        print(\"Interrogating...\")\n",
        "        display(thumb)\n",
        "\n",
        "        prompt = interrogator.interrogate(image)\n",
        "        IPython.display.clear_output()\n",
        "        show_ui()\n",
        "\n",
        "        print('\\n\\n')\n",
        "        display(thumb)\n",
        "        ui = widgets.VBox([\n",
        "            widgets.Textarea(\n",
        "                value=prompt,\n",
        "                description='prompt:',\n",
        "                layout=widgets.Layout(width='75%', height='6em')\n",
        "            )\n",
        "        ])\n",
        "        display(ui)\n",
        "    \n",
        "    go_button.on_click(go)\n",
        "    image_txt.on_submit(go)\n",
        "    display(ui)\n",
        "\n",
        "show_ui()"
      ]
    }
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