diff --git "a/Testing_SD.ipynb" "b/Testing_SD.ipynb" new file mode 100644--- /dev/null +++ "b/Testing_SD.ipynb" @@ -0,0 +1,6960 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JFlFEP7QqJBv", + "outputId": "9885f10f-21ee-4d6d-e2a5-af4b5ae8786b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing /content/requiremnts.txt\n" + ] + } + ], + "source": [ + "%%writefile /content/requiremnts.txt\n", + "\n", + "diffusers\n", + "transformers\n", + "nvidia-ml-py3\n", + "ftfy\n", + "--extra-index-url https://download.pytorch.org/whl/cu113 torch" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "oDgfdiLIrVAd", + "outputId": "2169a909-f0e5-4341-af17-29aea98df8fc" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in 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"cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "VeJxObtenyPn" + }, + "outputs": [], + "source": [ + "# import gradio as gr\n", + "\n", + "import torch\n", + "from torch import autocast\n", + "from diffusers import StableDiffusionPipeline\n", + "from datasets import load_dataset\n", + "from PIL import Image \n", + "import re\n", + "import streamlit as st" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "mUy8Sm3Gn83l" + }, + "outputs": [], + "source": [ + "model_id = \"CompVis/stable-diffusion-v1-4\"\n", + "device = \"cpu\"" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-8LVoTCutdrK", + "outputId": "40df6de9-517d-473f-a464-878864829cfb" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing /content/.streamlit/secrets.toml\n" + ] + } + ], + "source": [ + "%%writefile 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