diff --git "a/inpaint_noise_issue.ipynb" "b/inpaint_noise_issue.ipynb" deleted file mode 100644--- "a/inpaint_noise_issue.ipynb" +++ /dev/null @@ -1,178 +0,0 @@ -{ - "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 -}