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"_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OKZwuRWStk5q", "outputId": "41f42cae-aa3f-41ef-c390-96e98352b73a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.4.0+cu121)\n", "Requirement already satisfied: diffusers in /usr/local/lib/python3.10/dist-packages (0.30.2)\n", "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.44.2)\n", "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.33.0)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.15.4)\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: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers) (8.4.0)\n", "Requirement already satisfied: huggingface-hub>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.24.6)\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: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\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) (2024.8.30)\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" ] } ], "source": [ "pip install torch diffusers transformers accelerate" ] }, { "cell_type": "code", "source": [ "from diffusers import StableDiffusionPipeline # import the StableDiffusionPipeline class from diffusers\n", "import torch" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 87, "referenced_widgets": [ "60e74a9799294effb06962002ac8dace", "10d28306e38f469ab66955c56767e9cd", "c9b12ee692994feea89c92f072267646", "18e63fe43ba746e3aa8c6c69be0e6e5a", "9e4753b50dfe455a80478717a165621b", "a4baba8b43cc49998c991f561ca5b1dc", "37cdd5ac42a84e8a882f1c5df856ac49", "c0c41921c60b4131815479ffbda22d28", "855bb26505324a298f8bb62b90db05bd", "eaaa6dbff97b403d8fa50ea1810a8c05", "d6bb4394b32e47568c8006d88b1d1c70" ] }, "id": "DbzD86CQuAAB", "outputId": "e0ced656-db50-44f4-8ff3-f299c6e350c0" }, "execution_count": 4, "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" ] }, { "output_type": "display_data", "data": { "text/plain": [ "0it [00:00, ?it/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "60e74a9799294effb06962002ac8dace" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "model_id = \"CompVis/stable-diffusion-v1-4\"\n", "pipe = StableDiffusionPipeline.from_pretrained(model_id)\n", "pipe = pipe.to(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "\n", "def generate_image(prompt, output_path=\"generated_image.png\"):\n", " image = pipe(prompt).images[0]\n", "\n", " image.save(output_path)\n", " print(f\"Image saved at: {output_path}\")\n", "\n", "prompt = \"A futuristic city skyline at sunset\"\n", "generate_image(prompt)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 836, "referenced_widgets": [ "dec4fc4f6868462bb0c96b4b976206ca", 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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", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "model_index.json: 0%| | 0.00/541 [00:00