InvokeAI/invokeai/backend/image_util/infill_methods/tile.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\"\"\"Smoke test for the tile infill\"\"\"\n",
"\n",
"from pathlib import Path\n",
"from typing import Optional\n",
"from PIL import Image\n",
"from invokeai.backend.image_util.infill_methods.tile import infill_tile\n",
"\n",
"images: list[tuple[str, Image.Image]] = []\n",
"\n",
"for i in sorted(Path(\"./test_images/\").glob(\"*.webp\")):\n",
" images.append((i.name, Image.open(i)))\n",
" images.append((i.name, Image.open(i).transpose(Image.FLIP_LEFT_RIGHT)))\n",
" images.append((i.name, Image.open(i).transpose(Image.FLIP_TOP_BOTTOM)))\n",
" images.append((i.name, Image.open(i).resize((512, 512))))\n",
" images.append((i.name, Image.open(i).resize((1234, 461))))\n",
"\n",
"outputs: list[tuple[str, Image.Image, Image.Image, Optional[Image.Image]]] = []\n",
"\n",
"for name, image in images:\n",
" try:\n",
" output = infill_tile(image, seed=0, tile_size=32)\n",
" outputs.append((name, image, output.infilled, output.tile_image))\n",
" except ValueError as e:\n",
" print(f\"Skipping image {name}: {e}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Display the images in jupyter notebook\n",
"import matplotlib.pyplot as plt\n",
"from PIL import ImageOps\n",
"\n",
"fig, axes = plt.subplots(len(outputs), 3, figsize=(10, 3 * len(outputs)))\n",
"plt.subplots_adjust(hspace=0)\n",
"\n",
"for i, (name, original, infilled, tile_image) in enumerate(outputs):\n",
" # Add a border to each image, helps to see the edges\n",
" size = original.size\n",
" original = ImageOps.expand(original, border=5, fill=\"red\")\n",
" filled = ImageOps.expand(infilled, border=5, fill=\"red\")\n",
" if tile_image:\n",
" tile_image = ImageOps.expand(tile_image, border=5, fill=\"red\")\n",
"\n",
" axes[i, 0].imshow(original)\n",
" axes[i, 0].axis(\"off\")\n",
" axes[i, 0].set_title(f\"Original ({name} - {size})\")\n",
"\n",
" if tile_image:\n",
" axes[i, 1].imshow(tile_image)\n",
" axes[i, 1].axis(\"off\")\n",
" axes[i, 1].set_title(\"Tile Image\")\n",
" else:\n",
" axes[i, 1].axis(\"off\")\n",
" axes[i, 1].set_title(\"NO TILES GENERATED (NO TRANSPARENCY)\")\n",
"\n",
" axes[i, 2].imshow(filled)\n",
" axes[i, 2].axis(\"off\")\n",
" axes[i, 2].set_title(\"Filled\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".invokeai",
"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": "3.10.12"
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},
"nbformat": 4,
"nbformat_minor": 2
}