ChatGPT-with-Stable-Diffusion.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# 🤖 ChatGPT-Image-Generator 🎨\n",
        "\n",
        "ChatGPT-Image-Generator is a software that uses the openai api to generate a prompt using ChatGPT and with that prompt generate an image using Stable Diffusion.\n",
        "\n"
      ],
      "metadata": {
        "id": "Bo8gz0Jf3K4t"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip3 install openai gradio \n",
        "!pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy xformers gradio -q"
      ],
      "metadata": {
        "id": "KxpLzUgdZPzI",
        "outputId": "22053529-d407-43bc-fbe5-df6d10c1e638",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
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      "source": [
        "import openai\n",
        "import gradio as gr\n",
        "from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler\n",
        "import torch\n",
        "\n",
        "model_id = \"stabilityai/stable-diffusion-2\"\n",
        "\n",
        "# Use the Euler scheduler here instead\n",
        "scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder=\"scheduler\")\n",
        "pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision=\"fp16\", torch_dtype=torch.float16)\n",
        "pipe = pipe.to(\"cuda\")\n",
        "\n",
        "# Getting responses using the OpenAI API\n",
        "def response_chatgpt(api_key, prompt):\n",
        "  # OPENAI API KEY\n",
        "  openai.api_key = api_key\n",
        "  prompt = (f\"I want you to analyze this prompt that is used to generate an image based on it and with a similar structure, I want you to write a prompt but so that it generates images of {prompt}\")\n",
        "  response = openai.Completion.create(\n",
        "      engine=\"text-davinci-003\",\n",
        "      prompt=prompt,\n",
        "      max_tokens=1024\n",
        "  )\n",
        "  # Displaying the answer on the screen\n",
        "  result = response[\"choices\"][0][\"text\"]\n",
        "  # Generating image\n",
        "  image = pipe(result, height=768, width=768, guidance_scale = 10).images[0]\n",
        "  image.save(\"sd_image.png\")\n",
        "  return result, image\n",
        "      \n",
        "# User input\n",
        "chatbot = gr.Interface(\n",
        "    fn=response_chatgpt, \n",
        "    inputs=[\"text\", \"text\"],\n",
        "    outputs=[\"text\", \"image\"]\n",
        ")\n",
        "chatbot.launch()   "
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            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
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