{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# based on https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/in_painting_with_stable_diffusion_using_diffusers.ipynb#scrollTo=hvdHYdtTu6KA\n", "\n", "from diffusers import StableDiffusionInpaintPipelineLegacy\n", "from diffusers import DPMSolverMultistepScheduler\n", "from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_inpaint_legacy import preprocess_image\n", "import torch\n", "import PIL\n", "import requests\n", "from io import BytesIO" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "06dedd8b44de4a18b45dcd8bb87c60e0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 15 files: 0%| | 0/15 [00:00" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def download_image(url):\n", " response = requests.get(url)\n", " return PIL.Image.open(BytesIO(response.content)).convert(\"RGB\")\n", "\n", "img_url = \"https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png\"\n", "image = download_image(img_url).resize((512, 512))\n", "image" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "mask_image = torch.ones(1,512,512,1) # causes shape mismatch error when running pipe inference\n", "\n", "mask_image = torch.ones(1,4,64,64) " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7ca06b0f6c9e4c3ba5408042f7a18df2", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/4 [00:00" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "images[0] # expected to be original image since mask is all ones (i.e. no inpainting)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.8 ('ml')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.8" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "cbbcdde725e9a65f1cb734ac4223fed46e03daf1eb62d8ccb3c48face3871521" } } }, "nbformat": 4, "nbformat_minor": 2 }