Uploading Files used for generating wd14 tags
Browse files- Vodka_v3_tagger/analyzing tags.ipynb +0 -0
- Vodka_v3_tagger/convnextv2_v2_selected_tags.csv +0 -0
- Vodka_v3_tagger/exclude_tags.csv +0 -0
- Vodka_v3_tagger/fox_tagger.ipynb +1614 -0
- Vodka_v3_tagger/models/model.onnx +3 -0
- Vodka_v3_tagger/models/selected_tags.csv +0 -0
- Vodka_v3_tagger/output.csv +0 -0
- Vodka_v3_tagger/requirements.txt +8 -0
- Vodka_v3_tagger/tag_counts.csv +65 -0
- Vodka_v3_tagger/tag_counts_high_prob.csv +63 -0
Vodka_v3_tagger/analyzing tags.ipynb
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Vodka_v3_tagger/convnextv2_v2_selected_tags.csv
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Vodka_v3_tagger/exclude_tags.csv
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Vodka_v3_tagger/fox_tagger.ipynb
ADDED
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@@ -0,0 +1,1614 @@
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|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 41,
|
| 6 |
+
"id": "761173b3",
|
| 7 |
+
"metadata": {},
|
| 8 |
+
"outputs": [],
|
| 9 |
+
"source": [
|
| 10 |
+
"#import libraries\n",
|
| 11 |
+
"\n",
|
| 12 |
+
"import argparse\n",
|
| 13 |
+
"import json\n",
|
| 14 |
+
"import logging\n",
|
| 15 |
+
"from dataclasses import asdict, dataclass\n",
|
| 16 |
+
"from os import PathLike, getenv\n",
|
| 17 |
+
"from pathlib import Path\n",
|
| 18 |
+
"from typing import Any, Dict, List, Optional, Tuple\n",
|
| 19 |
+
"\n",
|
| 20 |
+
"import numpy as np\n",
|
| 21 |
+
"import onnxruntime as rt\n",
|
| 22 |
+
"from huggingface_hub import snapshot_download\n",
|
| 23 |
+
"from pandas import read_csv\n",
|
| 24 |
+
"from PIL import Image\n",
|
| 25 |
+
"from torch.utils.data import DataLoader, Dataset\n",
|
| 26 |
+
"from tqdm.auto import tqdm\n",
|
| 27 |
+
"import csv \n",
|
| 28 |
+
"import pandas as pd"
|
| 29 |
+
]
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"cell_type": "code",
|
| 33 |
+
"execution_count": 42,
|
| 34 |
+
"id": "ffc17b6b",
|
| 35 |
+
"metadata": {},
|
| 36 |
+
"outputs": [],
|
| 37 |
+
"source": [
|
| 38 |
+
"# allowed extensions\n",
|
| 39 |
+
"IMAGE_EXTENSIONS = [\".jpg\", \".jpeg\", \".png\", \".gif\", \".webp\", \".bmp\", \".tiff\", \".tif\"]"
|
| 40 |
+
]
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"cell_type": "code",
|
| 44 |
+
"execution_count": 43,
|
| 45 |
+
"id": "d289afd3",
|
| 46 |
+
"metadata": {},
|
| 47 |
+
"outputs": [],
|
| 48 |
+
"source": [
|
| 49 |
+
"# model input shape\n",
|
| 50 |
+
"IMAGE_SIZE = 448"
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"cell_type": "code",
|
| 55 |
+
"execution_count": 44,
|
| 56 |
+
"id": "465fcb74",
|
| 57 |
+
"metadata": {},
|
| 58 |
+
"outputs": [],
|
| 59 |
+
"source": [
|
| 60 |
+
"# hf hub insists on putting things in the cache dir then hardlinking and unlinking\n",
|
| 61 |
+
"# which breaks across mount points, so we override it here unless an explicit path is given in args\n",
|
| 62 |
+
"HF_HOME = getenv(\"HF_HOME\", Path.cwd().joinpath(\".cache\"))\n",
|
| 63 |
+
"CACHE_DIR = HF_HOME.joinpath(\"huggingface_hub\")"
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"cell_type": "code",
|
| 68 |
+
"execution_count": 45,
|
| 69 |
+
"id": "4734bb95",
|
| 70 |
+
"metadata": {},
|
| 71 |
+
"outputs": [],
|
| 72 |
+
"source": [
|
| 73 |
+
"class DictJsonMixin:\n",
|
| 74 |
+
" def asdict(self, *args, **kwargs) -> Dict[str, Any]:\n",
|
| 75 |
+
" return asdict(self, *args, **kwargs)\n",
|
| 76 |
+
"\n",
|
| 77 |
+
" def asjson(self, *args, **kwargs):\n",
|
| 78 |
+
" return json.dumps(asdict(self, *args, **kwargs))"
|
| 79 |
+
]
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"cell_type": "code",
|
| 83 |
+
"execution_count": 46,
|
| 84 |
+
"id": "fb1d91b2",
|
| 85 |
+
"metadata": {},
|
| 86 |
+
"outputs": [],
|
| 87 |
+
"source": [
|
| 88 |
+
"@dataclass\n",
|
| 89 |
+
"class LabelData(DictJsonMixin):\n",
|
| 90 |
+
" \"\"\"\n",
|
| 91 |
+
" A class that represents label data.\n",
|
| 92 |
+
" \"\"\"\n",
|
| 93 |
+
" names: List[str]\n",
|
| 94 |
+
" rating: List[np.int64]\n",
|
| 95 |
+
" general: List[np.int64]\n",
|
| 96 |
+
" character: List[np.int64]"
|
| 97 |
+
]
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"cell_type": "code",
|
| 101 |
+
"execution_count": 47,
|
| 102 |
+
"id": "3b7bd9e9",
|
| 103 |
+
"metadata": {},
|
| 104 |
+
"outputs": [],
|
| 105 |
+
"source": [
|
| 106 |
+
"@dataclass\n",
|
| 107 |
+
"class ImageLabels(DictJsonMixin):\n",
|
| 108 |
+
" \"\"\"\n",
|
| 109 |
+
" A class that represents image labels.\n",
|
| 110 |
+
" \"\"\"\n",
|
| 111 |
+
" caption: str\n",
|
| 112 |
+
" booru: str\n",
|
| 113 |
+
" rating: str\n",
|
| 114 |
+
" general: Dict[str, float]\n",
|
| 115 |
+
" character: Dict[str, float]\n",
|
| 116 |
+
" ratings: Dict[str, float]"
|
| 117 |
+
]
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"cell_type": "code",
|
| 121 |
+
"execution_count": 48,
|
| 122 |
+
"id": "1a40cc56",
|
| 123 |
+
"metadata": {},
|
| 124 |
+
"outputs": [],
|
| 125 |
+
"source": [
|
| 126 |
+
"logging.basicConfig(level=logging.INFO)\n",
|
| 127 |
+
"\n",
|
| 128 |
+
"logger = logging.getLogger(__name__)\n",
|
| 129 |
+
"logger.setLevel(logging.INFO)"
|
| 130 |
+
]
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"cell_type": "code",
|
| 134 |
+
"execution_count": 49,
|
| 135 |
+
"id": "59cbbf48",
|
| 136 |
+
"metadata": {},
|
| 137 |
+
"outputs": [],
|
| 138 |
+
"source": [
|
| 139 |
+
"def get_model_repo(base_model: str = \"convnextv2\") -> str:\n",
|
| 140 |
+
" return f\"SmilingWolf/wd-v1-4-{base_model}-tagger-v2\""
|
| 141 |
+
]
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"cell_type": "code",
|
| 145 |
+
"execution_count": 50,
|
| 146 |
+
"id": "5518fa1b",
|
| 147 |
+
"metadata": {},
|
| 148 |
+
"outputs": [],
|
| 149 |
+
"source": [
|
| 150 |
+
"def collate_fn_remove_corrupted(batch):\n",
|
| 151 |
+
" \"\"\"Collate function that allows to remove corrupted examples in the\n",
|
| 152 |
+
" dataloader. It expects that the dataloader returns 'None' when that occurs.\n",
|
| 153 |
+
" The 'None's in the batch are removed.\n",
|
| 154 |
+
" \"\"\"\n",
|
| 155 |
+
" # Filter out all the Nones (corrupted examples)\n",
|
| 156 |
+
" return [x for x in batch if x is not None]"
|
| 157 |
+
]
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"cell_type": "code",
|
| 161 |
+
"execution_count": 51,
|
| 162 |
+
"id": "8481068c",
|
| 163 |
+
"metadata": {},
|
| 164 |
+
"outputs": [],
|
| 165 |
+
"source": [
|
| 166 |
+
"def load_labels(model_path: Path) -> LabelData:\n",
|
| 167 |
+
" path = model_path.joinpath(\"selected_tags.csv\")\n",
|
| 168 |
+
" df = read_csv(path)\n",
|
| 169 |
+
"\n",
|
| 170 |
+
" tag_data = LabelData(\n",
|
| 171 |
+
" names=df[\"name\"].tolist(),\n",
|
| 172 |
+
" rating=list(np.where(df[\"category\"] == 9)[0]),\n",
|
| 173 |
+
" general=list(np.where(df[\"category\"] == 0)[0]),\n",
|
| 174 |
+
" character=list(np.where(df[\"category\"] == 4)[0]),\n",
|
| 175 |
+
" )\n",
|
| 176 |
+
"\n",
|
| 177 |
+
" return tag_data"
|
| 178 |
+
]
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"cell_type": "code",
|
| 182 |
+
"execution_count": 52,
|
| 183 |
+
"id": "593bf897",
|
| 184 |
+
"metadata": {},
|
| 185 |
+
"outputs": [],
|
| 186 |
+
"source": [
|
| 187 |
+
"def preprocess_image(image: Image.Image, size_px: int = IMAGE_SIZE, upscale=True) -> Image.Image:\n",
|
| 188 |
+
" \"\"\"\n",
|
| 189 |
+
" Preprocess an image to be square and centered on a white background.\n",
|
| 190 |
+
" \"\"\"\n",
|
| 191 |
+
" # make tuple for PIL\n",
|
| 192 |
+
" size = (size_px, size_px)\n",
|
| 193 |
+
"\n",
|
| 194 |
+
" # scale up or down (maintaining aspect ratio) as needed\n",
|
| 195 |
+
" if image.width > size_px or image.height > size_px:\n",
|
| 196 |
+
" image.thumbnail(size, Image.Resampling.LANCZOS)\n",
|
| 197 |
+
" elif upscale is True:\n",
|
| 198 |
+
" ratio = size_px / max(image.width, image.height)\n",
|
| 199 |
+
" scale_to = (int(image.width * ratio), int(image.height * ratio))\n",
|
| 200 |
+
" image = image.resize(scale_to, Image.LANCZOS)\n",
|
| 201 |
+
"\n",
|
| 202 |
+
" # work out where to paste the image to make it square\n",
|
| 203 |
+
" delta_h = (size_px - image.height) // 2\n",
|
| 204 |
+
" delta_w = (size_px - image.width) // 2\n",
|
| 205 |
+
"\n",
|
| 206 |
+
" # paste image onto square white canvas, centered\n",
|
| 207 |
+
" image = image.convert(\"RGBA\")\n",
|
| 208 |
+
" canvas = Image.new(\"RGBA\", size, (255, 255, 255))\n",
|
| 209 |
+
" canvas.paste(image, box=(delta_w, delta_h), mask=image)\n",
|
| 210 |
+
"\n",
|
| 211 |
+
" # convert to 24-bit BGR for OpenCV and return\n",
|
| 212 |
+
" canvas = canvas.convert(\"RGB\").convert(\"BGR;24\")\n",
|
| 213 |
+
" return canvas"
|
| 214 |
+
]
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"cell_type": "code",
|
| 218 |
+
"execution_count": 53,
|
| 219 |
+
"id": "6fd3593f",
|
| 220 |
+
"metadata": {},
|
| 221 |
+
"outputs": [],
|
| 222 |
+
"source": [
|
| 223 |
+
"class ImageDataset(Dataset):\n",
|
| 224 |
+
" def __init__(self, image_paths: List[Path], size_px: int = IMAGE_SIZE, upscale: bool = True):\n",
|
| 225 |
+
" self.size_px = size_px\n",
|
| 226 |
+
" self.upscale = upscale\n",
|
| 227 |
+
" self.images = [p for p in image_paths if p.suffix.lower() in IMAGE_EXTENSIONS]\n",
|
| 228 |
+
"\n",
|
| 229 |
+
" def __len__(self):\n",
|
| 230 |
+
" return len(self.images)\n",
|
| 231 |
+
"\n",
|
| 232 |
+
" def __getitem__(self, idx):\n",
|
| 233 |
+
" image_path: Path = self.images[idx]\n",
|
| 234 |
+
" try:\n",
|
| 235 |
+
" image = Image.open(image_path)\n",
|
| 236 |
+
" image = preprocess_image(image, self.size_px, self.upscale)\n",
|
| 237 |
+
" image = np.asarray(image)\n",
|
| 238 |
+
" image = image.astype(np.float32)\n",
|
| 239 |
+
" image = np.expand_dims(image, axis=0)\n",
|
| 240 |
+
" except Exception as e:\n",
|
| 241 |
+
" logging.exception(f\"Could not load image from {image_path}, error: {e}\")\n",
|
| 242 |
+
" return None\n",
|
| 243 |
+
" return image, image_path"
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"cell_type": "code",
|
| 248 |
+
"execution_count": 54,
|
| 249 |
+
"id": "be8dc9e4",
|
| 250 |
+
"metadata": {},
|
| 251 |
+
"outputs": [
|
| 252 |
+
{
|
| 253 |
+
"data": {
|
| 254 |
+
"text/plain": [
|
| 255 |
+
"['1girl',\n",
|
| 256 |
+
" 'long_hair',\n",
|
| 257 |
+
" 'breasts',\n",
|
| 258 |
+
" 'blush',\n",
|
| 259 |
+
" 'smile',\n",
|
| 260 |
+
" 'short_hair',\n",
|
| 261 |
+
" 'open_mouth',\n",
|
| 262 |
+
" 'bangs',\n",
|
| 263 |
+
" 'blue_eyes',\n",
|
| 264 |
+
" 'skirt',\n",
|
| 265 |
+
" 'blonde_hair',\n",
|
| 266 |
+
" 'large_breasts',\n",
|
| 267 |
+
" 'brown_hair',\n",
|
| 268 |
+
" 'shirt',\n",
|
| 269 |
+
" 'black_hair',\n",
|
| 270 |
+
" 'hair_ornament',\n",
|
| 271 |
+
" 'red_eyes',\n",
|
| 272 |
+
" 'thighhighs',\n",
|
| 273 |
+
" 'gloves',\n",
|
| 274 |
+
" 'long_sleeves',\n",
|
| 275 |
+
" '1boy',\n",
|
| 276 |
+
" 'hat',\n",
|
| 277 |
+
" 'dress',\n",
|
| 278 |
+
" 'bow',\n",
|
| 279 |
+
" 'ribbon',\n",
|
| 280 |
+
" 'navel',\n",
|
| 281 |
+
" 'holding',\n",
|
| 282 |
+
" '2girls',\n",
|
| 283 |
+
" 'animal_ears',\n",
|
| 284 |
+
" 'cleavage',\n",
|
| 285 |
+
" 'hair_between_eyes',\n",
|
| 286 |
+
" 'bare_shoulders',\n",
|
| 287 |
+
" 'twintails',\n",
|
| 288 |
+
" 'brown_eyes',\n",
|
| 289 |
+
" 'medium_breasts',\n",
|
| 290 |
+
" 'sitting',\n",
|
| 291 |
+
" 'very_long_hair',\n",
|
| 292 |
+
" 'closed_mouth',\n",
|
| 293 |
+
" 'underwear',\n",
|
| 294 |
+
" 'nipples',\n",
|
| 295 |
+
" 'school_uniform',\n",
|
| 296 |
+
" 'green_eyes',\n",
|
| 297 |
+
" 'blue_hair',\n",
|
| 298 |
+
" 'standing',\n",
|
| 299 |
+
" 'purple_eyes',\n",
|
| 300 |
+
" 'collarbone',\n",
|
| 301 |
+
" 'panties',\n",
|
| 302 |
+
" 'jacket',\n",
|
| 303 |
+
" 'tail',\n",
|
| 304 |
+
" 'swimsuit',\n",
|
| 305 |
+
" 'hair_ribbon',\n",
|
| 306 |
+
" 'yellow_eyes',\n",
|
| 307 |
+
" 'white_shirt',\n",
|
| 308 |
+
" 'ponytail',\n",
|
| 309 |
+
" 'weapon',\n",
|
| 310 |
+
" 'pink_hair',\n",
|
| 311 |
+
" 'purple_hair',\n",
|
| 312 |
+
" 'ass',\n",
|
| 313 |
+
" 'braid',\n",
|
| 314 |
+
" 'flower',\n",
|
| 315 |
+
" 'ahoge',\n",
|
| 316 |
+
" 'white_hair',\n",
|
| 317 |
+
" 'short_sleeves',\n",
|
| 318 |
+
" ':d',\n",
|
| 319 |
+
" 'hetero',\n",
|
| 320 |
+
" 'hair_bow',\n",
|
| 321 |
+
" 'grey_hair',\n",
|
| 322 |
+
" 'male_focus',\n",
|
| 323 |
+
" 'heart',\n",
|
| 324 |
+
" 'pantyhose',\n",
|
| 325 |
+
" 'sidelocks',\n",
|
| 326 |
+
" 'bikini',\n",
|
| 327 |
+
" 'thighs',\n",
|
| 328 |
+
" 'red_hair',\n",
|
| 329 |
+
" 'multicolored_hair',\n",
|
| 330 |
+
" 'cowboy_shot',\n",
|
| 331 |
+
" 'sweat',\n",
|
| 332 |
+
" 'pleated_skirt',\n",
|
| 333 |
+
" 'hairband',\n",
|
| 334 |
+
" 'earrings',\n",
|
| 335 |
+
" 'small_breasts',\n",
|
| 336 |
+
" 'boots',\n",
|
| 337 |
+
" 'lying',\n",
|
| 338 |
+
" 'frills',\n",
|
| 339 |
+
" 'parted_lips',\n",
|
| 340 |
+
" 'detached_sleeves',\n",
|
| 341 |
+
" 'one_eye_closed',\n",
|
| 342 |
+
" 'japanese_clothes',\n",
|
| 343 |
+
" 'green_hair',\n",
|
| 344 |
+
" 'multiple_boys',\n",
|
| 345 |
+
" 'open_clothes',\n",
|
| 346 |
+
" 'wings',\n",
|
| 347 |
+
" 'necktie',\n",
|
| 348 |
+
" 'horns',\n",
|
| 349 |
+
" 'sky',\n",
|
| 350 |
+
" 'penis',\n",
|
| 351 |
+
" 'shoes',\n",
|
| 352 |
+
" 'glasses',\n",
|
| 353 |
+
" 'shorts',\n",
|
| 354 |
+
" 'barefoot',\n",
|
| 355 |
+
" 'teeth',\n",
|
| 356 |
+
" 'pussy',\n",
|
| 357 |
+
" 'serafuku',\n",
|
| 358 |
+
" 'sleeveless',\n",
|
| 359 |
+
" 'alternate_costume',\n",
|
| 360 |
+
" 'choker',\n",
|
| 361 |
+
" 'tongue',\n",
|
| 362 |
+
" 'pointy_ears',\n",
|
| 363 |
+
" 'black_gloves',\n",
|
| 364 |
+
" 'socks',\n",
|
| 365 |
+
" 'hairclip',\n",
|
| 366 |
+
" 'elbow_gloves',\n",
|
| 367 |
+
" 'fang',\n",
|
| 368 |
+
" 'midriff',\n",
|
| 369 |
+
" 'striped',\n",
|
| 370 |
+
" 'puffy_sleeves',\n",
|
| 371 |
+
" 'collared_shirt',\n",
|
| 372 |
+
" 'belt',\n",
|
| 373 |
+
" 'pants',\n",
|
| 374 |
+
" 'sword',\n",
|
| 375 |
+
" 'black_thighhighs',\n",
|
| 376 |
+
" 'virtual_youtuber',\n",
|
| 377 |
+
" 'cat_ears',\n",
|
| 378 |
+
" 'tears',\n",
|
| 379 |
+
" 'white_gloves',\n",
|
| 380 |
+
" 'hand_up',\n",
|
| 381 |
+
" 'hair_flower',\n",
|
| 382 |
+
" '3girls',\n",
|
| 383 |
+
" 'spread_legs',\n",
|
| 384 |
+
" 'cum',\n",
|
| 385 |
+
" 'hood',\n",
|
| 386 |
+
" '2boys',\n",
|
| 387 |
+
" 'sex',\n",
|
| 388 |
+
" 'tongue_out',\n",
|
| 389 |
+
" 'miniskirt',\n",
|
| 390 |
+
" 'wide_sleeves',\n",
|
| 391 |
+
" 'blunt_bangs',\n",
|
| 392 |
+
" 'on_back',\n",
|
| 393 |
+
" 'fingerless_gloves',\n",
|
| 394 |
+
" 'bowtie',\n",
|
| 395 |
+
" 'black_skirt',\n",
|
| 396 |
+
" 'medium_hair',\n",
|
| 397 |
+
" 'pink_eyes',\n",
|
| 398 |
+
" 'armpits',\n",
|
| 399 |
+
" 'sailor_collar',\n",
|
| 400 |
+
" 'kimono',\n",
|
| 401 |
+
" 'grey_background',\n",
|
| 402 |
+
" 'necklace',\n",
|
| 403 |
+
" 'off_shoulder',\n",
|
| 404 |
+
" 'stomach',\n",
|
| 405 |
+
" 'bag',\n",
|
| 406 |
+
" 'hair_bun',\n",
|
| 407 |
+
" 'clothes_lift',\n",
|
| 408 |
+
" 'star_(symbol)',\n",
|
| 409 |
+
" 'scarf',\n",
|
| 410 |
+
" 'cape',\n",
|
| 411 |
+
" 'nail_polish',\n",
|
| 412 |
+
" 'black_footwear',\n",
|
| 413 |
+
" 'holding_weapon',\n",
|
| 414 |
+
" 'bra',\n",
|
| 415 |
+
" 'white_dress',\n",
|
| 416 |
+
" 'orange_hair',\n",
|
| 417 |
+
" 'yuri',\n",
|
| 418 |
+
" 'sweatdrop',\n",
|
| 419 |
+
" 'armor',\n",
|
| 420 |
+
" 'rabbit_ears',\n",
|
| 421 |
+
" 'mole',\n",
|
| 422 |
+
" 'white_panties',\n",
|
| 423 |
+
" 'hair_over_one_eye',\n",
|
| 424 |
+
" 'grin',\n",
|
| 425 |
+
" 'huge_breasts',\n",
|
| 426 |
+
" 'looking_at_another',\n",
|
| 427 |
+
" ':o',\n",
|
| 428 |
+
" 'uniform',\n",
|
| 429 |
+
" 'black_eyes',\n",
|
| 430 |
+
" 'apron',\n",
|
| 431 |
+
" 'character_name',\n",
|
| 432 |
+
" 'vest',\n",
|
| 433 |
+
" 'black_dress',\n",
|
| 434 |
+
" 'arm_up',\n",
|
| 435 |
+
" 'vaginal',\n",
|
| 436 |
+
" 'red_bow',\n",
|
| 437 |
+
" 'high_heels',\n",
|
| 438 |
+
" 'twin_braids',\n",
|
| 439 |
+
" 'arms_up',\n",
|
| 440 |
+
" 'flat_chest',\n",
|
| 441 |
+
" 'side_ponytail',\n",
|
| 442 |
+
" 'collar',\n",
|
| 443 |
+
" 'bracelet',\n",
|
| 444 |
+
" 'feet',\n",
|
| 445 |
+
" 'covered_nipples',\n",
|
| 446 |
+
" 'two-tone_hair',\n",
|
| 447 |
+
" 'aqua_eyes',\n",
|
| 448 |
+
" 'sweater',\n",
|
| 449 |
+
" 'speech_bubble',\n",
|
| 450 |
+
" 'white_thighhighs',\n",
|
| 451 |
+
" 'leotard',\n",
|
| 452 |
+
" 'open_jacket',\n",
|
| 453 |
+
" 'official_alternate_costume',\n",
|
| 454 |
+
" 'red_ribbon',\n",
|
| 455 |
+
" 'tree',\n",
|
| 456 |
+
" 'cup',\n",
|
| 457 |
+
" 'puffy_short_sleeves',\n",
|
| 458 |
+
" 'lips',\n",
|
| 459 |
+
" 'blue_skirt',\n",
|
| 460 |
+
" 'zettai_ryouiki',\n",
|
| 461 |
+
" 'streaked_hair',\n",
|
| 462 |
+
" 'coat',\n",
|
| 463 |
+
" 'black_jacket',\n",
|
| 464 |
+
" 'crop_top',\n",
|
| 465 |
+
" 'groin',\n",
|
| 466 |
+
" 'fingernails',\n",
|
| 467 |
+
" 'v-shaped_eyebrows',\n",
|
| 468 |
+
" 'cat_tail',\n",
|
| 469 |
+
" 'neckerchief',\n",
|
| 470 |
+
" 'orange_eyes',\n",
|
| 471 |
+
" 'animal_ear_fluff',\n",
|
| 472 |
+
" 'head_tilt',\n",
|
| 473 |
+
" 'see-through',\n",
|
| 474 |
+
" 'hand_on_hip',\n",
|
| 475 |
+
" 'gun',\n",
|
| 476 |
+
" 'legs',\n",
|
| 477 |
+
" 'one-piece_swimsuit',\n",
|
| 478 |
+
" 'sleeves_past_wrists',\n",
|
| 479 |
+
" 'parted_bangs',\n",
|
| 480 |
+
" 'wrist_cuffs',\n",
|
| 481 |
+
" 'grey_eyes',\n",
|
| 482 |
+
" 'torn_clothes',\n",
|
| 483 |
+
" 'plaid',\n",
|
| 484 |
+
" 'black_pantyhose',\n",
|
| 485 |
+
" 'maid',\n",
|
| 486 |
+
" 'symbol-shaped_pupils',\n",
|
| 487 |
+
" 'hands_up',\n",
|
| 488 |
+
" 'sash',\n",
|
| 489 |
+
" 'fur_trim',\n",
|
| 490 |
+
" 'kneehighs',\n",
|
| 491 |
+
" 'maid_headdress',\n",
|
| 492 |
+
" 'black_panties',\n",
|
| 493 |
+
" 'cosplay',\n",
|
| 494 |
+
" 'bare_arms',\n",
|
| 495 |
+
" 'petals',\n",
|
| 496 |
+
" 'pubic_hair',\n",
|
| 497 |
+
" 'black_shirt',\n",
|
| 498 |
+
" 'fox_ears',\n",
|
| 499 |
+
" 'loli',\n",
|
| 500 |
+
" 'short_shorts',\n",
|
| 501 |
+
" 'ascot',\n",
|
| 502 |
+
" 'clothing_cutout',\n",
|
| 503 |
+
" 'completely_nude',\n",
|
| 504 |
+
" 'dutch_angle',\n",
|
| 505 |
+
" 'eyelashes',\n",
|
| 506 |
+
" 'bar_censor',\n",
|
| 507 |
+
" 'mole_under_eye',\n",
|
| 508 |
+
" 'pokemon_(creature)',\n",
|
| 509 |
+
" 'no_humans',\n",
|
| 510 |
+
" 'bare_legs',\n",
|
| 511 |
+
" 'window',\n",
|
| 512 |
+
" 'open_shirt',\n",
|
| 513 |
+
" 'sparkle',\n",
|
| 514 |
+
" 'dress_shirt',\n",
|
| 515 |
+
" 'kneeling',\n",
|
| 516 |
+
" 'sleeveless_shirt',\n",
|
| 517 |
+
" 'single_braid',\n",
|
| 518 |
+
" 'v',\n",
|
| 519 |
+
" 'black_headwear',\n",
|
| 520 |
+
" 'strapless',\n",
|
| 521 |
+
" '4girls',\n",
|
| 522 |
+
" 'bell',\n",
|
| 523 |
+
" 'hug',\n",
|
| 524 |
+
" 'no_bra',\n",
|
| 525 |
+
" 'saliva',\n",
|
| 526 |
+
" 'double_bun',\n",
|
| 527 |
+
" 'black_ribbon',\n",
|
| 528 |
+
" 'uncensored',\n",
|
| 529 |
+
" 'aqua_hair',\n",
|
| 530 |
+
" 'bodysuit',\n",
|
| 531 |
+
" 'blood',\n",
|
| 532 |
+
" 'bed',\n",
|
| 533 |
+
" 'hoodie',\n",
|
| 534 |
+
" 'military_uniform',\n",
|
| 535 |
+
" 'sideboob',\n",
|
| 536 |
+
" 'black_bow',\n",
|
| 537 |
+
" 'covered_navel',\n",
|
| 538 |
+
" 'tattoo',\n",
|
| 539 |
+
" 'gradient_hair',\n",
|
| 540 |
+
" 'skindentation',\n",
|
| 541 |
+
" 'neck_ribbon',\n",
|
| 542 |
+
" 'pussy_juice',\n",
|
| 543 |
+
" 'profile',\n",
|
| 544 |
+
" 'makeup',\n",
|
| 545 |
+
" 'thigh_strap',\n",
|
| 546 |
+
" 'leaning_forward',\n",
|
| 547 |
+
" 'multiple_views',\n",
|
| 548 |
+
" '4koma',\n",
|
| 549 |
+
" 'capelet',\n",
|
| 550 |
+
" 'mask',\n",
|
| 551 |
+
" 'muscular',\n",
|
| 552 |
+
" 'anus',\n",
|
| 553 |
+
" 'no_panties',\n",
|
| 554 |
+
" 'witch_hat',\n",
|
| 555 |
+
" 'detached_collar',\n",
|
| 556 |
+
" 'toes',\n",
|
| 557 |
+
" ':3',\n",
|
| 558 |
+
" 'copyright_name',\n",
|
| 559 |
+
" 'alternate_hairstyle',\n",
|
| 560 |
+
" 'underboob',\n",
|
| 561 |
+
" 'night',\n",
|
| 562 |
+
" 'buttons',\n",
|
| 563 |
+
" 'floating_hair',\n",
|
| 564 |
+
" 'fruit',\n",
|
| 565 |
+
" 'sleeveless_dress',\n",
|
| 566 |
+
" 'depth_of_field',\n",
|
| 567 |
+
" 'feet_out_of_frame',\n",
|
| 568 |
+
" 'headband',\n",
|
| 569 |
+
" 'fake_animal_ears',\n",
|
| 570 |
+
" '^_^',\n",
|
| 571 |
+
" 'blue_dress',\n",
|
| 572 |
+
" 'cameltoe',\n",
|
| 573 |
+
" 'cum_in_pussy',\n",
|
| 574 |
+
" 'fox_tail',\n",
|
| 575 |
+
" 'swept_bangs',\n",
|
| 576 |
+
" 'shadow',\n",
|
| 577 |
+
" 'black_bikini',\n",
|
| 578 |
+
" 'red_skirt',\n",
|
| 579 |
+
" 'nose_blush',\n",
|
| 580 |
+
" 'bottomless',\n",
|
| 581 |
+
" 'glowing',\n",
|
| 582 |
+
" 'side-tie_bikini_bottom',\n",
|
| 583 |
+
" 'rose',\n",
|
| 584 |
+
" 'bed_sheet',\n",
|
| 585 |
+
" 'colored_skin',\n",
|
| 586 |
+
" 'turtleneck',\n",
|
| 587 |
+
" 'holding_hands',\n",
|
| 588 |
+
" 'facial_hair',\n",
|
| 589 |
+
" 'chain',\n",
|
| 590 |
+
" 'headgear',\n",
|
| 591 |
+
" 'bird',\n",
|
| 592 |
+
" 'pov',\n",
|
| 593 |
+
" 'siblings',\n",
|
| 594 |
+
" 'headphones',\n",
|
| 595 |
+
" 'ocean',\n",
|
| 596 |
+
" '6+girls',\n",
|
| 597 |
+
" 'low_twintails',\n",
|
| 598 |
+
" 'heterochromia',\n",
|
| 599 |
+
" 'arm_support',\n",
|
| 600 |
+
" 'animal',\n",
|
| 601 |
+
" 'halterneck',\n",
|
| 602 |
+
" 'frown',\n",
|
| 603 |
+
" 'leaf',\n",
|
| 604 |
+
" 'beret',\n",
|
| 605 |
+
" 'white_headwear',\n",
|
| 606 |
+
" 'umbrella',\n",
|
| 607 |
+
" 'on_bed',\n",
|
| 608 |
+
" 'one_side_up',\n",
|
| 609 |
+
" 'embarrassed',\n",
|
| 610 |
+
" 'thigh_boots',\n",
|
| 611 |
+
" 'fangs',\n",
|
| 612 |
+
" 'upper_teeth_only',\n",
|
| 613 |
+
" 'watermark',\n",
|
| 614 |
+
" 'from_above',\n",
|
| 615 |
+
" 'back',\n",
|
| 616 |
+
" 'highleg',\n",
|
| 617 |
+
" 'blue_background',\n",
|
| 618 |
+
" 'ass_visible_through_thighs',\n",
|
| 619 |
+
" 'wavy_hair',\n",
|
| 620 |
+
" 'garter_straps',\n",
|
| 621 |
+
" 'black_choker',\n",
|
| 622 |
+
" 'halo',\n",
|
| 623 |
+
" 'blue_bow',\n",
|
| 624 |
+
" 'scar',\n",
|
| 625 |
+
" 'white_bikini',\n",
|
| 626 |
+
" 'on_side',\n",
|
| 627 |
+
" 'plaid_skirt',\n",
|
| 628 |
+
" 'chair',\n",
|
| 629 |
+
" 'transparent_background',\n",
|
| 630 |
+
" 'wariza',\n",
|
| 631 |
+
" 'facial_mark',\n",
|
| 632 |
+
" 'mouth_hold',\n",
|
| 633 |
+
" 'looking_away',\n",
|
| 634 |
+
" 'traditional_media',\n",
|
| 635 |
+
" 'beach',\n",
|
| 636 |
+
" 'bandages',\n",
|
| 637 |
+
" 'parody',\n",
|
| 638 |
+
" 'female_pubic_hair',\n",
|
| 639 |
+
" 'expressionless',\n",
|
| 640 |
+
" 'brown_footwear',\n",
|
| 641 |
+
" 'blush_stickers',\n",
|
| 642 |
+
" 'shirt_lift',\n",
|
| 643 |
+
" 'thick_thighs',\n",
|
| 644 |
+
" 'no_shoes',\n",
|
| 645 |
+
" 'holding_sword',\n",
|
| 646 |
+
" 'hair_tubes',\n",
|
| 647 |
+
" 'chinese_clothes',\n",
|
| 648 |
+
" 'drill_hair',\n",
|
| 649 |
+
" 'grabbing',\n",
|
| 650 |
+
" 'arms_behind_back',\n",
|
| 651 |
+
" 'soles',\n",
|
| 652 |
+
" 'obi',\n",
|
| 653 |
+
" 'heart-shaped_pupils',\n",
|
| 654 |
+
" 'eating',\n",
|
| 655 |
+
" 'clothes_pull',\n",
|
| 656 |
+
" 'looking_down',\n",
|
| 657 |
+
" 'phone',\n",
|
| 658 |
+
" 'black_shorts',\n",
|
| 659 |
+
" 'thigh_gap',\n",
|
| 660 |
+
" 'black_pants',\n",
|
| 661 |
+
" 'short_dress',\n",
|
| 662 |
+
" 'topless',\n",
|
| 663 |
+
" 'piercing',\n",
|
| 664 |
+
" 'pantyshot',\n",
|
| 665 |
+
" 'hair_intakes',\n",
|
| 666 |
+
" 'eyepatch',\n",
|
| 667 |
+
" 'border',\n",
|
| 668 |
+
" 'skirt_lift',\n",
|
| 669 |
+
" 'floral_print',\n",
|
| 670 |
+
" 'stuffed_toy',\n",
|
| 671 |
+
" 'bound',\n",
|
| 672 |
+
" 'formal',\n",
|
| 673 |
+
" 'playboy_bunny',\n",
|
| 674 |
+
" 'flying_sweatdrops',\n",
|
| 675 |
+
" 'crossed_arms',\n",
|
| 676 |
+
" 'wavy_mouth',\n",
|
| 677 |
+
" 'magical_girl',\n",
|
| 678 |
+
" 'erection',\n",
|
| 679 |
+
" 'abs',\n",
|
| 680 |
+
" 'moon',\n",
|
| 681 |
+
" 'half-closed_eyes',\n",
|
| 682 |
+
" 'leg_up',\n",
|
| 683 |
+
" 'from_below',\n",
|
| 684 |
+
" 'red_dress',\n",
|
| 685 |
+
" 'cleavage_cutout',\n",
|
| 686 |
+
" 'sandals',\n",
|
| 687 |
+
" 'table',\n",
|
| 688 |
+
" 'happy',\n",
|
| 689 |
+
" 'sunlight',\n",
|
| 690 |
+
" 'oral',\n",
|
| 691 |
+
" 'cover',\n",
|
| 692 |
+
" 'squatting',\n",
|
| 693 |
+
" 'single_hair_bun',\n",
|
| 694 |
+
" 'cat',\n",
|
| 695 |
+
" 'testicles',\n",
|
| 696 |
+
" 'pink_background',\n",
|
| 697 |
+
" 'sunglasses',\n",
|
| 698 |
+
" 'scrunchie',\n",
|
| 699 |
+
" 'white_footwear',\n",
|
| 700 |
+
" 'dark-skinned_male',\n",
|
| 701 |
+
" 'underwear_only',\n",
|
| 702 |
+
" 'cum_on_body',\n",
|
| 703 |
+
" 'trembling',\n",
|
| 704 |
+
" 'bob_cut',\n",
|
| 705 |
+
" 'ring',\n",
|
| 706 |
+
" 'bdsm',\n",
|
| 707 |
+
" 'school_swimsuit',\n",
|
| 708 |
+
" 'mob_cap',\n",
|
| 709 |
+
" 'wolf_ears',\n",
|
| 710 |
+
" 'blazer',\n",
|
| 711 |
+
" 'light_brown_hair',\n",
|
| 712 |
+
" 'white_jacket',\n",
|
| 713 |
+
" 'standing_on_one_leg',\n",
|
| 714 |
+
" 'sleeping',\n",
|
| 715 |
+
" 'thick_eyebrows',\n",
|
| 716 |
+
" 'backpack',\n",
|
| 717 |
+
" 'white_skirt',\n",
|
| 718 |
+
" 'demon_girl',\n",
|
| 719 |
+
" 'frilled_dress',\n",
|
| 720 |
+
" 'eyes_visible_through_hair',\n",
|
| 721 |
+
" 'breast_grab',\n",
|
| 722 |
+
" 'cardigan',\n",
|
| 723 |
+
" 'knee_boots',\n",
|
| 724 |
+
" 'suspenders',\n",
|
| 725 |
+
" 'hat_ribbon',\n",
|
| 726 |
+
" 'crossed_legs',\n",
|
| 727 |
+
" 'lingerie',\n",
|
| 728 |
+
" 'stuffed_animal',\n",
|
| 729 |
+
" 'katana',\n",
|
| 730 |
+
" 'hood_down',\n",
|
| 731 |
+
" ';d',\n",
|
| 732 |
+
" '3boys',\n",
|
| 733 |
+
" 'bat_wings',\n",
|
| 734 |
+
" 'horse_ears',\n",
|
| 735 |
+
" 'helmet',\n",
|
| 736 |
+
" 'cloudy_sky',\n",
|
| 737 |
+
" 'cellphone',\n",
|
| 738 |
+
" 'crying',\n",
|
| 739 |
+
" 'antenna_hair',\n",
|
| 740 |
+
" 'own_hands_together',\n",
|
| 741 |
+
" 'tank_top',\n",
|
| 742 |
+
" 'bottle',\n",
|
| 743 |
+
" 'suit',\n",
|
| 744 |
+
" 'grass',\n",
|
| 745 |
+
" 'outstretched_arms',\n",
|
| 746 |
+
" 'cross',\n",
|
| 747 |
+
" 'bug',\n",
|
| 748 |
+
" 'holding_food',\n",
|
| 749 |
+
" 'fire',\n",
|
| 750 |
+
" 'frilled_skirt',\n",
|
| 751 |
+
" 'tiara',\n",
|
| 752 |
+
" 'aged_down',\n",
|
| 753 |
+
" 'polka_dot',\n",
|
| 754 |
+
" 'feathers',\n",
|
| 755 |
+
" 'breasts_out',\n",
|
| 756 |
+
" 'crossover',\n",
|
| 757 |
+
" 'crown',\n",
|
| 758 |
+
" 'high_ponytail',\n",
|
| 759 |
+
" 'looking_up',\n",
|
| 760 |
+
" 'black_hairband',\n",
|
| 761 |
+
" 'bent_over',\n",
|
| 762 |
+
" 'undressing',\n",
|
| 763 |
+
" 'blue_shirt',\n",
|
| 764 |
+
" 'white_bow',\n",
|
| 765 |
+
" '5girls',\n",
|
| 766 |
+
" 'straddling',\n",
|
| 767 |
+
" 'light_smile',\n",
|
| 768 |
+
" 'knife',\n",
|
| 769 |
+
" 'pectorals',\n",
|
| 770 |
+
" 'x_hair_ornament',\n",
|
| 771 |
+
" 'plant',\n",
|
| 772 |
+
" 'couple',\n",
|
| 773 |
+
" 'denim',\n",
|
| 774 |
+
" 'on_stomach',\n",
|
| 775 |
+
" 'wing_collar',\n",
|
| 776 |
+
" '>_<',\n",
|
| 777 |
+
" 'robot',\n",
|
| 778 |
+
" 'white_flower',\n",
|
| 779 |
+
" 'hair_bobbles',\n",
|
| 780 |
+
" 'fellatio',\n",
|
| 781 |
+
" 'outstretched_arm',\n",
|
| 782 |
+
" 'sharp_teeth',\n",
|
| 783 |
+
" 'blue_ribbon',\n",
|
| 784 |
+
" 'lipstick',\n",
|
| 785 |
+
" 'tan',\n",
|
| 786 |
+
" 'girl_on_top',\n",
|
| 787 |
+
" 'cat_girl',\n",
|
| 788 |
+
" 'short_twintails',\n",
|
| 789 |
+
" 'lifted_by_self',\n",
|
| 790 |
+
" 'bondage',\n",
|
| 791 |
+
" 'curtains',\n",
|
| 792 |
+
" 'white_socks',\n",
|
| 793 |
+
" 'letterboxed',\n",
|
| 794 |
+
" 'animal_print',\n",
|
| 795 |
+
" 'muscular_male',\n",
|
| 796 |
+
" 'spiked_hair',\n",
|
| 797 |
+
" 'pointing',\n",
|
| 798 |
+
" 'pink_bow',\n",
|
| 799 |
+
" 'juliet_sleeves',\n",
|
| 800 |
+
" 'monster_girl',\n",
|
| 801 |
+
" 'sex_from_behind',\n",
|
| 802 |
+
" 'slit_pupils',\n",
|
| 803 |
+
" 'polearm',\n",
|
| 804 |
+
" 'all_fours',\n",
|
| 805 |
+
" 'blue_jacket',\n",
|
| 806 |
+
" 'sisters',\n",
|
| 807 |
+
" '^^^',\n",
|
| 808 |
+
" 'frilled_sleeves',\n",
|
| 809 |
+
" 'hand_on_own_chest',\n",
|
| 810 |
+
" 'red_necktie',\n",
|
| 811 |
+
" 'blue_sailor_collar',\n",
|
| 812 |
+
" 'crescent',\n",
|
| 813 |
+
" '?',\n",
|
| 814 |
+
" 'staff',\n",
|
| 815 |
+
" 'black_background',\n",
|
| 816 |
+
" 'clenched_teeth',\n",
|
| 817 |
+
" 'panty_pull',\n",
|
| 818 |
+
" 'cherry_blossoms',\n",
|
| 819 |
+
" 'head_wings',\n",
|
| 820 |
+
" 'horse_girl',\n",
|
| 821 |
+
" 'brooch',\n",
|
| 822 |
+
" 'goggles',\n",
|
| 823 |
+
" 'demon_horns',\n",
|
| 824 |
+
" 'towel',\n",
|
| 825 |
+
" 'blouse',\n",
|
| 826 |
+
" 'shaded_face',\n",
|
| 827 |
+
" 'red_flower',\n",
|
| 828 |
+
" 'green_skirt',\n",
|
| 829 |
+
" 'fox_girl',\n",
|
| 830 |
+
" 'ground_vehicle',\n",
|
| 831 |
+
" 'cover_page',\n",
|
| 832 |
+
" 'black_bra',\n",
|
| 833 |
+
" 'elf',\n",
|
| 834 |
+
" 'bike_shorts',\n",
|
| 835 |
+
" 'otoko_no_ko',\n",
|
| 836 |
+
" 'wind',\n",
|
| 837 |
+
" 'casual',\n",
|
| 838 |
+
" 'black_socks',\n",
|
| 839 |
+
" 'loafers',\n",
|
| 840 |
+
" 't-shirt',\n",
|
| 841 |
+
" 'motion_lines',\n",
|
| 842 |
+
" 'shoulder_armor',\n",
|
| 843 |
+
" 'gauntlets',\n",
|
| 844 |
+
" 'no_pants',\n",
|
| 845 |
+
" 'building',\n",
|
| 846 |
+
" 'pink_panties',\n",
|
| 847 |
+
" 'messy_hair',\n",
|
| 848 |
+
" 'single_thighhigh',\n",
|
| 849 |
+
" 'multiple_tails',\n",
|
| 850 |
+
" 'kiss',\n",
|
| 851 |
+
" 'wristband',\n",
|
| 852 |
+
" 'group_sex',\n",
|
| 853 |
+
" 'breast_press',\n",
|
| 854 |
+
" 'between_breasts',\n",
|
| 855 |
+
" 'surprised',\n",
|
| 856 |
+
" 'striped_panties',\n",
|
| 857 |
+
" 'hat_bow',\n",
|
| 858 |
+
" 'gem',\n",
|
| 859 |
+
" 'butterfly',\n",
|
| 860 |
+
" 'red_footwear',\n",
|
| 861 |
+
" 'red_shirt',\n",
|
| 862 |
+
" 'sheath',\n",
|
| 863 |
+
" 'sneakers',\n",
|
| 864 |
+
" 'rabbit_tail',\n",
|
| 865 |
+
" 'tassel',\n",
|
| 866 |
+
" 'instrument',\n",
|
| 867 |
+
" 'box',\n",
|
| 868 |
+
" 'ear_piercing',\n",
|
| 869 |
+
" 'drooling',\n",
|
| 870 |
+
" 'fishnets',\n",
|
| 871 |
+
" 'ribbon_trim',\n",
|
| 872 |
+
" 'clenched_hand',\n",
|
| 873 |
+
" 'sex_toy',\n",
|
| 874 |
+
" 'red_bowtie',\n",
|
| 875 |
+
" 'third_eye',\n",
|
| 876 |
+
" 'skirt_set',\n",
|
| 877 |
+
" 'child',\n",
|
| 878 |
+
" 'hakama',\n",
|
| 879 |
+
" 'pale_skin',\n",
|
| 880 |
+
" 'portrait',\n",
|
| 881 |
+
" 'musical_note',\n",
|
| 882 |
+
" 'revealing_clothes',\n",
|
| 883 |
+
" 'rope',\n",
|
| 884 |
+
" 'star_(sky)',\n",
|
| 885 |
+
" 'wet_clothes',\n",
|
| 886 |
+
" 'steam',\n",
|
| 887 |
+
" 'candy',\n",
|
| 888 |
+
" 'pink_dress',\n",
|
| 889 |
+
" 'genderswap',\n",
|
| 890 |
+
" 'facial',\n",
|
| 891 |
+
" 'demon_tail',\n",
|
| 892 |
+
" 'dog_ears',\n",
|
| 893 |
+
" 'anal',\n",
|
| 894 |
+
" 'foreshortening',\n",
|
| 895 |
+
" 'holding_gun',\n",
|
| 896 |
+
" 'nature',\n",
|
| 897 |
+
" 'covering',\n",
|
| 898 |
+
" 'adapted_costume',\n",
|
| 899 |
+
" 'side-tie_panties',\n",
|
| 900 |
+
" 'black_nails',\n",
|
| 901 |
+
" 'night_sky',\n",
|
| 902 |
+
" 'christmas',\n",
|
| 903 |
+
" 'breath',\n",
|
| 904 |
+
" 'ejaculation',\n",
|
| 905 |
+
" 'veil',\n",
|
| 906 |
+
" 'scenery',\n",
|
| 907 |
+
" 'armband',\n",
|
| 908 |
+
" 'peaked_cap',\n",
|
| 909 |
+
" 'waist_apron',\n",
|
| 910 |
+
" 'lace_trim',\n",
|
| 911 |
+
" 'convenient_censoring',\n",
|
| 912 |
+
" 'white_apron',\n",
|
| 913 |
+
" 'couch',\n",
|
| 914 |
+
" 'arms_behind_head',\n",
|
| 915 |
+
" 'china_dress',\n",
|
| 916 |
+
" 'bandaid',\n",
|
| 917 |
+
" 'holding_cup',\n",
|
| 918 |
+
" 'black_leotard',\n",
|
| 919 |
+
" 'male_pubic_hair',\n",
|
| 920 |
+
" 'interlocked_fingers',\n",
|
| 921 |
+
" 'mole_under_mouth',\n",
|
| 922 |
+
" 'microphone',\n",
|
| 923 |
+
" 'bridal_gauntlets',\n",
|
| 924 |
+
" 'bara',\n",
|
| 925 |
+
" 'strapless_dress',\n",
|
| 926 |
+
" 'tokin_hat',\n",
|
| 927 |
+
" 'yaoi',\n",
|
| 928 |
+
" 'straight_hair',\n",
|
| 929 |
+
" 'front-tie_top',\n",
|
| 930 |
+
" 'bow_panties',\n",
|
| 931 |
+
" 'lace',\n",
|
| 932 |
+
" 'mecha',\n",
|
| 933 |
+
" 'hakama_skirt',\n",
|
| 934 |
+
" 'hand_fan',\n",
|
| 935 |
+
" 'white_ribbon',\n",
|
| 936 |
+
" 'glowing_eyes',\n",
|
| 937 |
+
" 'anger_vein',\n",
|
| 938 |
+
" '...',\n",
|
| 939 |
+
" 'breasts_apart',\n",
|
| 940 |
+
" 'no_headwear',\n",
|
| 941 |
+
" 'hair_over_shoulder',\n",
|
| 942 |
+
" 'clothes_writing',\n",
|
| 943 |
+
" 'jingle_bell',\n",
|
| 944 |
+
" 'baseball_cap',\n",
|
| 945 |
+
" 'yellow_background',\n",
|
| 946 |
+
" 'hair_flaps',\n",
|
| 947 |
+
" 'string_bikini',\n",
|
| 948 |
+
" 'feathered_wings',\n",
|
| 949 |
+
" 'hooded_jacket',\n",
|
| 950 |
+
" 'cum_on_breasts',\n",
|
| 951 |
+
" 'bikini_top_only',\n",
|
| 952 |
+
" 'red_headwear',\n",
|
| 953 |
+
" 'twin_drills',\n",
|
| 954 |
+
" 'facing_viewer',\n",
|
| 955 |
+
" 'skin_tight',\n",
|
| 956 |
+
" 'multiple_penises',\n",
|
| 957 |
+
" 'semi-rimless_eyewear',\n",
|
| 958 |
+
" 'red_nails',\n",
|
| 959 |
+
" 'bright_pupils',\n",
|
| 960 |
+
" 'black_necktie',\n",
|
| 961 |
+
" 'web_address',\n",
|
| 962 |
+
" ':<',\n",
|
| 963 |
+
" 'angry',\n",
|
| 964 |
+
" 'grey_shirt',\n",
|
| 965 |
+
" 'cloak',\n",
|
| 966 |
+
" 'eyewear_on_head',\n",
|
| 967 |
+
" 'motor_vehicle',\n",
|
| 968 |
+
" 'red_background',\n",
|
| 969 |
+
" 'claws',\n",
|
| 970 |
+
" 'side_braid',\n",
|
| 971 |
+
" 'wolf_tail',\n",
|
| 972 |
+
" 'pelvic_curtain',\n",
|
| 973 |
+
" 'light_particles',\n",
|
| 974 |
+
" 'light_purple_hair',\n",
|
| 975 |
+
" 'multicolored_clothes',\n",
|
| 976 |
+
" 'carrying',\n",
|
| 977 |
+
" 'micro_bikini',\n",
|
| 978 |
+
" 'knees_up',\n",
|
| 979 |
+
" 'smartphone',\n",
|
| 980 |
+
" 'corset',\n",
|
| 981 |
+
" 'tentacles',\n",
|
| 982 |
+
" 'index_finger_raised',\n",
|
| 983 |
+
" 'clothing_aside',\n",
|
| 984 |
+
" 'purple_dress',\n",
|
| 985 |
+
" 'extra_ears',\n",
|
| 986 |
+
" 'rifle',\n",
|
| 987 |
+
" 'striped_thighhighs',\n",
|
| 988 |
+
" 'white_border',\n",
|
| 989 |
+
" 'mary_janes',\n",
|
| 990 |
+
" 'beard',\n",
|
| 991 |
+
" 'paizuri',\n",
|
| 992 |
+
" 'vertical_stripes',\n",
|
| 993 |
+
" 'red_jacket',\n",
|
| 994 |
+
" ':p',\n",
|
| 995 |
+
" 'red_neckerchief',\n",
|
| 996 |
+
" 'short_hair_with_long_locks',\n",
|
| 997 |
+
" 'scar_on_face',\n",
|
| 998 |
+
" 'tareme',\n",
|
| 999 |
+
" 'neck_bell',\n",
|
| 1000 |
+
" 'licking',\n",
|
| 1001 |
+
" 'furry',\n",
|
| 1002 |
+
" 'single_horn',\n",
|
| 1003 |
+
" 'strap_slip',\n",
|
| 1004 |
+
" 'finger_to_mouth',\n",
|
| 1005 |
+
" 'pom_pom_(clothes)',\n",
|
| 1006 |
+
" 'snow',\n",
|
| 1007 |
+
" 'french_braid',\n",
|
| 1008 |
+
" 'close-up',\n",
|
| 1009 |
+
" 'androgynous',\n",
|
| 1010 |
+
" '1other',\n",
|
| 1011 |
+
" 'areola_slip',\n",
|
| 1012 |
+
" 'forehead',\n",
|
| 1013 |
+
" 'puffy_nipples',\n",
|
| 1014 |
+
" 'buckle',\n",
|
| 1015 |
+
" 'horse_tail',\n",
|
| 1016 |
+
" 'two-tone_background',\n",
|
| 1017 |
+
" 'full_moon',\n",
|
| 1018 |
+
" 'eye_contact',\n",
|
| 1019 |
+
" 'pink_flower',\n",
|
| 1020 |
+
" 'tsurime',\n",
|
| 1021 |
+
" 'yellow_bow',\n",
|
| 1022 |
+
" 'gift',\n",
|
| 1023 |
+
" 'seiza',\n",
|
| 1024 |
+
" 'upskirt',\n",
|
| 1025 |
+
" 'blue_bikini',\n",
|
| 1026 |
+
" 'pink_nails',\n",
|
| 1027 |
+
" 'santa_hat',\n",
|
| 1028 |
+
" 'genderswap_(mtf)',\n",
|
| 1029 |
+
" 'lens_flare',\n",
|
| 1030 |
+
" 'skin_fang',\n",
|
| 1031 |
+
" 'spikes',\n",
|
| 1032 |
+
" 'armlet',\n",
|
| 1033 |
+
" 'hand_on_own_face',\n",
|
| 1034 |
+
" 'desk',\n",
|
| 1035 |
+
" 'between_legs',\n",
|
| 1036 |
+
" 'brown_gloves',\n",
|
| 1037 |
+
" 'side_slit',\n",
|
| 1038 |
+
" 'handgun',\n",
|
| 1039 |
+
" 'camisole',\n",
|
| 1040 |
+
" 'wading',\n",
|
| 1041 |
+
" 'faceless',\n",
|
| 1042 |
+
" 'low_ponytail',\n",
|
| 1043 |
+
" 'restrained',\n",
|
| 1044 |
+
" 'pendant',\n",
|
| 1045 |
+
" 'plate',\n",
|
| 1046 |
+
" 'dual_persona',\n",
|
| 1047 |
+
" 'masturbation',\n",
|
| 1048 |
+
" 'highleg_leotard',\n",
|
| 1049 |
+
" 'spoken_heart',\n",
|
| 1050 |
+
" 'curvy',\n",
|
| 1051 |
+
" 'green_bow',\n",
|
| 1052 |
+
" 'maid_apron',\n",
|
| 1053 |
+
" 'alcohol',\n",
|
| 1054 |
+
" 'after_sex',\n",
|
| 1055 |
+
" 'grey_skirt',\n",
|
| 1056 |
+
" 'handjob',\n",
|
| 1057 |
+
" 'sleeves_rolled_up',\n",
|
| 1058 |
+
" 'red_gloves',\n",
|
| 1059 |
+
" 'o-ring',\n",
|
| 1060 |
+
" 'heavy_breathing',\n",
|
| 1061 |
+
" 'abyssal_ship',\n",
|
| 1062 |
+
" 'eyeshadow',\n",
|
| 1063 |
+
" 'ribbed_sweater',\n",
|
| 1064 |
+
" 'drinking_glass',\n",
|
| 1065 |
+
" 'hair_scrunchie',\n",
|
| 1066 |
+
" 'cowgirl_position',\n",
|
| 1067 |
+
" 'cross-laced_footwear',\n",
|
| 1068 |
+
" 'blue_headwear',\n",
|
| 1069 |
+
" 'broom',\n",
|
| 1070 |
+
" 'ball',\n",
|
| 1071 |
+
" 'puffy_long_sleeves',\n",
|
| 1072 |
+
" 'sleeves_past_fingers',\n",
|
| 1073 |
+
" 'clenched_hands',\n",
|
| 1074 |
+
" 'hood_up',\n",
|
| 1075 |
+
" 'cropped_legs',\n",
|
| 1076 |
+
" 'floating',\n",
|
| 1077 |
+
" 'wide_hips',\n",
|
| 1078 |
+
" 'forest',\n",
|
| 1079 |
+
" 'low-tied_long_hair',\n",
|
| 1080 |
+
" 'breast_hold',\n",
|
| 1081 |
+
" 'smoke',\n",
|
| 1082 |
+
" 'zipper',\n",
|
| 1083 |
+
" 'dress_lift',\n",
|
| 1084 |
+
" 'tray',\n",
|
| 1085 |
+
" 'personification',\n",
|
| 1086 |
+
" 'headwear_removed',\n",
|
| 1087 |
+
" 'high_heel_boots',\n",
|
| 1088 |
+
" 'partially_submerged',\n",
|
| 1089 |
+
" 'headset',\n",
|
| 1090 |
+
" 'halloween',\n",
|
| 1091 |
+
" 'hair_rings',\n",
|
| 1092 |
+
" 'legs_up',\n",
|
| 1093 |
+
" 'half_updo',\n",
|
| 1094 |
+
" 'doujin_cover',\n",
|
| 1095 |
+
" 'pink_skirt',\n",
|
| 1096 |
+
" 'starry_sky',\n",
|
| 1097 |
+
" 'colored_sclera',\n",
|
| 1098 |
+
" 'pencil_skirt',\n",
|
| 1099 |
+
" 'strapless_leotard',\n",
|
| 1100 |
+
" 'single_glove',\n",
|
| 1101 |
+
" 'machinery',\n",
|
| 1102 |
+
" 'clothed_sex',\n",
|
| 1103 |
+
" 'blue_nails',\n",
|
| 1104 |
+
" 'backlighting',\n",
|
| 1105 |
+
" 'freckles',\n",
|
| 1106 |
+
" 'tearing_up',\n",
|
| 1107 |
+
" 'reflection',\n",
|
| 1108 |
+
" 'tanlines',\n",
|
| 1109 |
+
" 'fish',\n",
|
| 1110 |
+
" 'sweater_vest',\n",
|
| 1111 |
+
" 'holding_book',\n",
|
| 1112 |
+
" 'arm_behind_back',\n",
|
| 1113 |
+
" 'arm_at_side',\n",
|
| 1114 |
+
" 'santa_costume',\n",
|
| 1115 |
+
" 'large_pectorals',\n",
|
| 1116 |
+
" 'spot_color',\n",
|
| 1117 |
+
" 'flying',\n",
|
| 1118 |
+
" 'white_bra',\n",
|
| 1119 |
+
" 'asymmetrical_legwear',\n",
|
| 1120 |
+
" 'brown_background',\n",
|
| 1121 |
+
" 'panties_under_pantyhose',\n",
|
| 1122 |
+
" 'nontraditional_miko',\n",
|
| 1123 |
+
" 'red_bikini',\n",
|
| 1124 |
+
" 'happy_birthday',\n",
|
| 1125 |
+
" 'cropped_jacket',\n",
|
| 1126 |
+
" 'long_fingernails',\n",
|
| 1127 |
+
" '!',\n",
|
| 1128 |
+
" 'kemonomimi_mode',\n",
|
| 1129 |
+
" 'sailor_dress',\n",
|
| 1130 |
+
" 'clothed_female_nude_male',\n",
|
| 1131 |
+
" 'walking',\n",
|
| 1132 |
+
" 'fingering',\n",
|
| 1133 |
+
" 'science_fiction',\n",
|
| 1134 |
+
" 'rain',\n",
|
| 1135 |
+
" 'white_pantyhose',\n",
|
| 1136 |
+
" 'garter_belt',\n",
|
| 1137 |
+
" 'frilled_bikini',\n",
|
| 1138 |
+
" 'dual_wielding',\n",
|
| 1139 |
+
" '6+boys',\n",
|
| 1140 |
+
" 'pink_ribbon',\n",
|
| 1141 |
+
" 'cuffs',\n",
|
| 1142 |
+
" 'red-framed_eyewear',\n",
|
| 1143 |
+
" 'dragon_horns',\n",
|
| 1144 |
+
" 'epaulettes',\n",
|
| 1145 |
+
" 'black_wings',\n",
|
| 1146 |
+
" 'bubble',\n",
|
| 1147 |
+
" 'demon_wings',\n",
|
| 1148 |
+
" 'thong',\n",
|
| 1149 |
+
" 'legs_apart',\n",
|
| 1150 |
+
" 'teacup',\n",
|
| 1151 |
+
" 'condom',\n",
|
| 1152 |
+
" 'veins',\n",
|
| 1153 |
+
" 'crossdressing',\n",
|
| 1154 |
+
" 'ribbon-trimmed_sleeves',\n",
|
| 1155 |
+
" 'holding_phone',\n",
|
| 1156 |
+
" 'gym_uniform',\n",
|
| 1157 |
+
" 'short_ponytail',\n",
|
| 1158 |
+
" 'arm_behind_head',\n",
|
| 1159 |
+
" 'cake',\n",
|
| 1160 |
+
" 'out_of_frame',\n",
|
| 1161 |
+
" 'innertube',\n",
|
| 1162 |
+
" 'oni_horns',\n",
|
| 1163 |
+
" 'contrapposto',\n",
|
| 1164 |
+
" 'naughty_face',\n",
|
| 1165 |
+
" 'green_background',\n",
|
| 1166 |
+
" 'alternate_breast_size',\n",
|
| 1167 |
+
" 'purple_background',\n",
|
| 1168 |
+
" 'black-framed_eyewear',\n",
|
| 1169 |
+
" 'rape',\n",
|
| 1170 |
+
" 'beads',\n",
|
| 1171 |
+
" 'knee_up',\n",
|
| 1172 |
+
" 'hat_ornament',\n",
|
| 1173 |
+
" 'one-hour_drawing_challenge',\n",
|
| 1174 |
+
" 'fur_collar',\n",
|
| 1175 |
+
" 'blue_shorts',\n",
|
| 1176 |
+
" 'outside_border',\n",
|
| 1177 |
+
" 'thighband_pantyhose',\n",
|
| 1178 |
+
" 'meme',\n",
|
| 1179 |
+
" 'bowl',\n",
|
| 1180 |
+
" 'toenails',\n",
|
| 1181 |
+
" 'cumdrip',\n",
|
| 1182 |
+
" 'blue_flower',\n",
|
| 1183 |
+
" 'denim_shorts',\n",
|
| 1184 |
+
" 'curly_hair',\n",
|
| 1185 |
+
" 'track_jacket',\n",
|
| 1186 |
+
" 'black_sailor_collar',\n",
|
| 1187 |
+
" 'light_blush',\n",
|
| 1188 |
+
" 'school_bag',\n",
|
| 1189 |
+
" 'pocket',\n",
|
| 1190 |
+
" 'spread_pussy',\n",
|
| 1191 |
+
" 'toned',\n",
|
| 1192 |
+
" 'pink_shirt',\n",
|
| 1193 |
+
" 'doggystyle',\n",
|
| 1194 |
+
" 'white_sleeves',\n",
|
| 1195 |
+
" ':q',\n",
|
| 1196 |
+
" 'hand_in_own_hair',\n",
|
| 1197 |
+
" 'spoken_ellipsis',\n",
|
| 1198 |
+
" 'empty_eyes',\n",
|
| 1199 |
+
" 'purple_skirt',\n",
|
| 1200 |
+
" 'crying_with_eyes_open',\n",
|
| 1201 |
+
" 'goggles_on_head',\n",
|
| 1202 |
+
" 'green_dress',\n",
|
| 1203 |
+
" '4boys',\n",
|
| 1204 |
+
" 'bulge',\n",
|
| 1205 |
+
" 'sun_hat',\n",
|
| 1206 |
+
" 'cum_in_mouth',\n",
|
| 1207 |
+
" 'lolita_fashion',\n",
|
| 1208 |
+
" 'shiny_clothes',\n",
|
| 1209 |
+
" 'pauldrons',\n",
|
| 1210 |
+
" 'outline',\n",
|
| 1211 |
+
" 'buruma',\n",
|
| 1212 |
+
" \"hand_on_another's_head\",\n",
|
| 1213 |
+
" 'futanari',\n",
|
| 1214 |
+
" 'topless_male',\n",
|
| 1215 |
+
" 'under-rim_eyewear',\n",
|
| 1216 |
+
" 'frilled_apron',\n",
|
| 1217 |
+
" 'white_pupils',\n",
|
| 1218 |
+
" 'skull',\n",
|
| 1219 |
+
" 'jitome',\n",
|
| 1220 |
+
" 'gold_trim',\n",
|
| 1221 |
+
" 'long_legs',\n",
|
| 1222 |
+
" 'sunset',\n",
|
| 1223 |
+
" 'monster',\n",
|
| 1224 |
+
" 'frilled_shirt_collar',\n",
|
| 1225 |
+
" 'emphasis_lines',\n",
|
| 1226 |
+
" 'hands_on_hips',\n",
|
| 1227 |
+
" 'high-waist_skirt',\n",
|
| 1228 |
+
" 'new_year',\n",
|
| 1229 |
+
" 'shield',\n",
|
| 1230 |
+
" 'aged_up',\n",
|
| 1231 |
+
" 'animal_hands',\n",
|
| 1232 |
+
" 'mole_on_breast',\n",
|
| 1233 |
+
" 'spear',\n",
|
| 1234 |
+
" 'asymmetrical_hair',\n",
|
| 1235 |
+
" 'female_masturbation',\n",
|
| 1236 |
+
" 'v_arms',\n",
|
| 1237 |
+
" 'single_earring',\n",
|
| 1238 |
+
" 'running',\n",
|
| 1239 |
+
" 'dog',\n",
|
| 1240 |
+
" 'angel_wings',\n",
|
| 1241 |
+
" 'long_skirt',\n",
|
| 1242 |
+
" 'breasts_squeezed_together',\n",
|
| 1243 |
+
" 'competition_swimsuit',\n",
|
| 1244 |
+
" 'watch',\n",
|
| 1245 |
+
" 'dog_tail',\n",
|
| 1246 |
+
" 'black_belt',\n",
|
| 1247 |
+
" 'black_serafuku',\n",
|
| 1248 |
+
" 'faceless_male',\n",
|
| 1249 |
+
" 'legs_together',\n",
|
| 1250 |
+
" 'ice',\n",
|
| 1251 |
+
" 'white_skin',\n",
|
| 1252 |
+
" 'blue_footwear',\n",
|
| 1253 |
+
" 'o_o',\n",
|
| 1254 |
+
" '#ERROR!',\n",
|
| 1255 |
+
" ...]"
|
| 1256 |
+
]
|
| 1257 |
+
},
|
| 1258 |
+
"execution_count": 54,
|
| 1259 |
+
"metadata": {},
|
| 1260 |
+
"output_type": "execute_result"
|
| 1261 |
+
}
|
| 1262 |
+
],
|
| 1263 |
+
"source": [
|
| 1264 |
+
"exclude = pd.read_csv('exclude_tags.csv')\n",
|
| 1265 |
+
"exclude\n",
|
| 1266 |
+
"undesired_tags_list = exclude[exclude['exclude'] == 1]['name'].tolist()\n",
|
| 1267 |
+
"undesired_tags_list"
|
| 1268 |
+
]
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"cell_type": "code",
|
| 1272 |
+
"execution_count": 55,
|
| 1273 |
+
"id": "8ed9d1f3",
|
| 1274 |
+
"metadata": {},
|
| 1275 |
+
"outputs": [],
|
| 1276 |
+
"source": [
|
| 1277 |
+
"class ImageLabeler:\n",
|
| 1278 |
+
" def __init__(\n",
|
| 1279 |
+
" self,\n",
|
| 1280 |
+
" model_path: Optional[PathLike] = None,\n",
|
| 1281 |
+
" general_threshold: float = 0.35,\n",
|
| 1282 |
+
" character_threshold: float = 0.35,\n",
|
| 1283 |
+
" undesired_tags: Optional[List[str]] = None,\n",
|
| 1284 |
+
" ):\n",
|
| 1285 |
+
" # save model path if provided\n",
|
| 1286 |
+
" self._model_path = Path(model_path) if model_path is not None else None\n",
|
| 1287 |
+
"\n",
|
| 1288 |
+
" # create some object attributes for convenience\n",
|
| 1289 |
+
" self.general_threshold = general_threshold\n",
|
| 1290 |
+
" self.character_threshold = character_threshold\n",
|
| 1291 |
+
" self.undesired_tags = undesired_tags or []\n",
|
| 1292 |
+
"\n",
|
| 1293 |
+
" # actually load the model\n",
|
| 1294 |
+
" logging.info(f\"Loading model from path: {self._model_path}\")\n",
|
| 1295 |
+
" self.model = rt.InferenceSession(\n",
|
| 1296 |
+
" str(model_path.joinpath(\"model.onnx\")),\n",
|
| 1297 |
+
" providers=[(\"CUDAExecutionProvider\", {}), \"CPUExecutionProvider\"],\n",
|
| 1298 |
+
" )\n",
|
| 1299 |
+
"\n",
|
| 1300 |
+
" # Get input dimensions\n",
|
| 1301 |
+
" _, self.height, self.width, _ = self.model.get_inputs()[0].shape\n",
|
| 1302 |
+
" logging.info(f\"Model loaded, input dimensions {self.height}x{self.width}\")\n",
|
| 1303 |
+
"\n",
|
| 1304 |
+
" # load labels\n",
|
| 1305 |
+
" self.labels = load_labels(self._model_path)\n",
|
| 1306 |
+
" self.labels.general = [i for i in self.labels.general if i not in undesired_tags]\n",
|
| 1307 |
+
" self.labels.character = [i for i in self.labels.character if i not in undesired_tags]\n",
|
| 1308 |
+
" logging.info(f\"Loaded labels from {self._model_path.joinpath('selected_tags.csv')}\")\n",
|
| 1309 |
+
"\n",
|
| 1310 |
+
" @property\n",
|
| 1311 |
+
" def input_size(self) -> Tuple[int, int]:\n",
|
| 1312 |
+
" return (self.height, self.width)\n",
|
| 1313 |
+
"\n",
|
| 1314 |
+
" @property\n",
|
| 1315 |
+
" def input_name(self) -> str:\n",
|
| 1316 |
+
" return self.model.get_inputs()[0].name if self.model is not None else None\n",
|
| 1317 |
+
"\n",
|
| 1318 |
+
" @property\n",
|
| 1319 |
+
" def output_name(self) -> str:\n",
|
| 1320 |
+
" return self.model.get_outputs()[0].name if self.model is not None else None\n",
|
| 1321 |
+
"\n",
|
| 1322 |
+
" def label_image(self, images: np.ndarray) -> ImageLabels:\n",
|
| 1323 |
+
" # Run the ONNX model\n",
|
| 1324 |
+
" probs = [self.model.run([self.output_name], {self.input_name: x}) for x in images]\n",
|
| 1325 |
+
" # Convert to labels\n",
|
| 1326 |
+
" results = []\n",
|
| 1327 |
+
" for prob in list(probs):\n",
|
| 1328 |
+
" labels = list(zip(self.labels.names, prob[0][0].astype(float)))\n",
|
| 1329 |
+
"\n",
|
| 1330 |
+
" # First 4 labels are actually ratings: pick one with argmax\n",
|
| 1331 |
+
" rating_labels = dict([labels[i] for i in self.labels.rating])\n",
|
| 1332 |
+
" rating = max(rating_labels, key=rating_labels.get)\n",
|
| 1333 |
+
"\n",
|
| 1334 |
+
" # General labels, pick any where prediction confidence > threshold\n",
|
| 1335 |
+
" gen_labels = [labels[i] for i in self.labels.general]\n",
|
| 1336 |
+
" gen_labels = dict([x for x in gen_labels if x[1] > self.general_threshold])\n",
|
| 1337 |
+
" gen_labels = dict(sorted(gen_labels.items(), key=lambda item: item[1], reverse=True))\n",
|
| 1338 |
+
"\n",
|
| 1339 |
+
" # Convert to a string suitable for use as a training caption\n",
|
| 1340 |
+
" caption = \", \".join([x for x in gen_labels])\n",
|
| 1341 |
+
"\n",
|
| 1342 |
+
" booru = caption.replace(\"_\", \" \").replace(\"(\", \"\\(\").replace(\")\", \"\\)\")\n",
|
| 1343 |
+
"\n",
|
| 1344 |
+
" # return output\n",
|
| 1345 |
+
" results.append(\n",
|
| 1346 |
+
" ImageLabels(\n",
|
| 1347 |
+
" caption=caption,\n",
|
| 1348 |
+
" booru=booru,\n",
|
| 1349 |
+
" rating=rating,\n",
|
| 1350 |
+
" general=gen_labels,\n",
|
| 1351 |
+
" character={}, # returning an empty dictionary for character labels\n",
|
| 1352 |
+
" ratings=rating_labels,\n",
|
| 1353 |
+
" )\n",
|
| 1354 |
+
" )\n",
|
| 1355 |
+
"\n",
|
| 1356 |
+
" return results\n",
|
| 1357 |
+
"\n",
|
| 1358 |
+
" def __call__(self, images: List[Image.Image]) -> ImageLabels:\n",
|
| 1359 |
+
" # if not a list, just label the image\n",
|
| 1360 |
+
" for x in images:\n",
|
| 1361 |
+
" yield self.label_image(x)"
|
| 1362 |
+
]
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"cell_type": "code",
|
| 1366 |
+
"execution_count": 56,
|
| 1367 |
+
"id": "b476a2f9",
|
| 1368 |
+
"metadata": {},
|
| 1369 |
+
"outputs": [],
|
| 1370 |
+
"source": [
|
| 1371 |
+
"def main(\n",
|
| 1372 |
+
" images_dir: str = \"/home/irakli/foxtagger/inputs\",\n",
|
| 1373 |
+
" base_model: str = \"convnextv2\",\n",
|
| 1374 |
+
" models_dir: str = \"/home/irakli/foxtagger/models\",\n",
|
| 1375 |
+
" force_download: bool = False,\n",
|
| 1376 |
+
" recursive: bool = True,\n",
|
| 1377 |
+
" undesired_tags: List[str] = undesired_tags_list,\n",
|
| 1378 |
+
" caption_extension: str = \".txt\",\n",
|
| 1379 |
+
" frequency_tags: bool = False,\n",
|
| 1380 |
+
" max_data_loader_n_workers: int = 4,\n",
|
| 1381 |
+
" remove_underscore: bool = True,\n",
|
| 1382 |
+
" thresh: float = 0.35,\n",
|
| 1383 |
+
" general_threshold: float = None,\n",
|
| 1384 |
+
" character_threshold: float = None,\n",
|
| 1385 |
+
" debug: bool = False,\n",
|
| 1386 |
+
"):\n",
|
| 1387 |
+
" base_model = base_model\n",
|
| 1388 |
+
" models_dir = Path(models_dir) if models_dir is not None else Path.cwd().joinpath(\"models\")\n",
|
| 1389 |
+
" images_dir = Path(images_dir)\n",
|
| 1390 |
+
" force_download = force_download or False\n",
|
| 1391 |
+
" # Specify the name of your model file\n",
|
| 1392 |
+
" model_filename = 'model.onnx'\n",
|
| 1393 |
+
"\n",
|
| 1394 |
+
" recursive = recursive\n",
|
| 1395 |
+
" undesired_tags = set(undesired_tags)\n",
|
| 1396 |
+
" caption_extension = str(caption_extension).lower()\n",
|
| 1397 |
+
" frequency_tags = frequency_tags\n",
|
| 1398 |
+
" max_data_loader_n_workers = max_data_loader_n_workers\n",
|
| 1399 |
+
"\n",
|
| 1400 |
+
" remove_underscore = remove_underscore\n",
|
| 1401 |
+
" general_threshold = general_threshold or thresh\n",
|
| 1402 |
+
" character_threshold = character_threshold or thresh\n",
|
| 1403 |
+
" debug = debug\n",
|
| 1404 |
+
"\n",
|
| 1405 |
+
" # turn base model into a repo id and model path\n",
|
| 1406 |
+
" repo_id: str = get_model_repo(base_model)\n",
|
| 1407 |
+
" model_dir = models_dir.joinpath(repo_id.split(\"/\")[-1])\n",
|
| 1408 |
+
" model_path = model_dir / model_filename # This is the path to the model file\n",
|
| 1409 |
+
" \n",
|
| 1410 |
+
"\n",
|
| 1411 |
+
" # download the model if it doesn't exist, or if force_download is True\n",
|
| 1412 |
+
" print(f\"Checking for {base_model}-based tagger in {model_dir}...\")\n",
|
| 1413 |
+
" if not model_dir.is_dir() or force_download is True:\n",
|
| 1414 |
+
" print(f\"Downloading {base_model}-based tagger from '{repo_id}'\")\n",
|
| 1415 |
+
" snapshot_download(\n",
|
| 1416 |
+
" repo_id,\n",
|
| 1417 |
+
" local_dir_use_symlinks=False,\n",
|
| 1418 |
+
" local_dir=models_dir,\n",
|
| 1419 |
+
" cache_dir=CACHE_DIR,\n",
|
| 1420 |
+
" allow_patterns=[\"*.onnx\", \"*.csv\"],\n",
|
| 1421 |
+
" )\n",
|
| 1422 |
+
" else:\n",
|
| 1423 |
+
" print(\"Found existing tagger model, skipping download.\")\n",
|
| 1424 |
+
"\n",
|
| 1425 |
+
" # instantiate the dataset\n",
|
| 1426 |
+
" print(f\"Loading images from {images_dir}...\", end=\" \")\n",
|
| 1427 |
+
" if recursive:\n",
|
| 1428 |
+
" image_paths = list(Path(images_dir).rglob(\"*.*\"))\n",
|
| 1429 |
+
" else:\n",
|
| 1430 |
+
" image_paths = list(Path(images_dir).glob(\"*.*\"))\n",
|
| 1431 |
+
" image_paths = [p for p in image_paths if p.suffix.lower() in IMAGE_EXTENSIONS]\n",
|
| 1432 |
+
" print(f\"found {len(image_paths)} images to process.\")\n",
|
| 1433 |
+
" dataset = ImageDataset(image_paths)\n",
|
| 1434 |
+
"\n",
|
| 1435 |
+
" # Create the data loader\n",
|
| 1436 |
+
" dataloader = DataLoader(\n",
|
| 1437 |
+
" dataset,\n",
|
| 1438 |
+
" batch_size=1,\n",
|
| 1439 |
+
" shuffle=False,\n",
|
| 1440 |
+
" num_workers=max_data_loader_n_workers,\n",
|
| 1441 |
+
" collate_fn=collate_fn_remove_corrupted,\n",
|
| 1442 |
+
" drop_last=False,\n",
|
| 1443 |
+
" )\n",
|
| 1444 |
+
"\n",
|
| 1445 |
+
" # Create the image labeler\n",
|
| 1446 |
+
" labeler: ImageLabeler = ImageLabeler(\n",
|
| 1447 |
+
" model_path=models_dir,\n",
|
| 1448 |
+
" character_threshold=character_threshold,\n",
|
| 1449 |
+
" general_threshold=general_threshold,\n",
|
| 1450 |
+
" undesired_tags=undesired_tags,\n",
|
| 1451 |
+
" )\n",
|
| 1452 |
+
"\n",
|
| 1453 |
+
" # object to save tag frequencies\n",
|
| 1454 |
+
" tag_freqs = {}\n",
|
| 1455 |
+
" \n",
|
| 1456 |
+
" # Specify the name of your CSV output file\n",
|
| 1457 |
+
" csv_filename = 'output.csv'\n",
|
| 1458 |
+
" \n",
|
| 1459 |
+
" with open(csv_filename, 'w', newline='') as csvfile:\n",
|
| 1460 |
+
" fieldnames = ['filename', 'tags:probabilities']\n",
|
| 1461 |
+
" writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n",
|
| 1462 |
+
"\n",
|
| 1463 |
+
" # Write the header\n",
|
| 1464 |
+
" writer.writeheader()\n",
|
| 1465 |
+
"\n",
|
| 1466 |
+
" # iterate\n",
|
| 1467 |
+
" for batch in tqdm(dataloader, ncols=100):\n",
|
| 1468 |
+
" images = [x[0] for x in batch]\n",
|
| 1469 |
+
" paths = [x[1] for x in batch]\n",
|
| 1470 |
+
"\n",
|
| 1471 |
+
" # label the images\n",
|
| 1472 |
+
" batch_labels = labeler.label_image(np.asarray(images))\n",
|
| 1473 |
+
"\n",
|
| 1474 |
+
" for image_labels, image_path in zip(batch_labels, paths):\n",
|
| 1475 |
+
" # save the labels\n",
|
| 1476 |
+
" caption = image_labels.caption\n",
|
| 1477 |
+
" if remove_underscore is True:\n",
|
| 1478 |
+
" caption = caption.replace(\"_\", \" \")\n",
|
| 1479 |
+
" \n",
|
| 1480 |
+
" # filter out undesired tags\n",
|
| 1481 |
+
" tags = caption.split(\", \")\n",
|
| 1482 |
+
" tags = [tag for tag in tags if tag not in undesired_tags]\n",
|
| 1483 |
+
" caption = \", \".join(tags)\n",
|
| 1484 |
+
" \n",
|
| 1485 |
+
" # Get the relative path of the image file\n",
|
| 1486 |
+
" relative_path = Path(image_path).relative_to(images_dir)\n",
|
| 1487 |
+
" Path(image_path).with_suffix(caption_extension).write_text(caption + \"\\n\", encoding=\"utf-8\")\n",
|
| 1488 |
+
" \n",
|
| 1489 |
+
" # Write the filename, tag and probability to the CSV file in a single row\n",
|
| 1490 |
+
" general_tags_probs = ', '.join([f\"{tag}:{prob}\" for tag, prob in image_labels.general.items() if tag not in undesired_tags])\n",
|
| 1491 |
+
" writer.writerow({'filename': relative_path, 'tags:probabilities': general_tags_probs})\n",
|
| 1492 |
+
"\n",
|
| 1493 |
+
"\n",
|
| 1494 |
+
" # save the tag frequencies\n",
|
| 1495 |
+
" if frequency_tags is True:\n",
|
| 1496 |
+
" for tag in tags: # here we use filtered tags\n",
|
| 1497 |
+
" if tag not in tag_freqs:\n",
|
| 1498 |
+
" tag_freqs[tag] = 0\n",
|
| 1499 |
+
" tag_freqs[tag] += 1\n",
|
| 1500 |
+
"\n",
|
| 1501 |
+
" # debug\n",
|
| 1502 |
+
" if debug is True:\n",
|
| 1503 |
+
" print(\n",
|
| 1504 |
+
" \"\\n\".join([\n",
|
| 1505 |
+
" f\"{image_path}:\",\n",
|
| 1506 |
+
" f\" Character tags: {image_labels.character}\",\n",
|
| 1507 |
+
" f\" General tags: {image_labels.general}\",\n",
|
| 1508 |
+
" ])\n",
|
| 1509 |
+
" )\n",
|
| 1510 |
+
"\n",
|
| 1511 |
+
" if frequency_tags:\n",
|
| 1512 |
+
" sorted_tags = sorted(tag_freqs.items(), key=lambda x: x[1], reverse=True)\n",
|
| 1513 |
+
" print(\"\\nTag frequencies:\")\n",
|
| 1514 |
+
" for tag, freq in sorted_tags:\n",
|
| 1515 |
+
" print(f\"{tag}: {freq}\")\n",
|
| 1516 |
+
"\n",
|
| 1517 |
+
" print(\"done!\")"
|
| 1518 |
+
]
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"cell_type": "code",
|
| 1522 |
+
"execution_count": 57,
|
| 1523 |
+
"id": "e0a42c4c",
|
| 1524 |
+
"metadata": {},
|
| 1525 |
+
"outputs": [
|
| 1526 |
+
{
|
| 1527 |
+
"name": "stdout",
|
| 1528 |
+
"output_type": "stream",
|
| 1529 |
+
"text": [
|
| 1530 |
+
"Checking for convnextv2-based tagger in /home/irakli/foxtagger/models/wd-v1-4-convnextv2-tagger-v2...\n",
|
| 1531 |
+
"Found existing tagger model, skipping download.\n",
|
| 1532 |
+
"Loading images from /home/irakli/foxtagger/inputs... "
|
| 1533 |
+
]
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"name": "stderr",
|
| 1537 |
+
"output_type": "stream",
|
| 1538 |
+
"text": [
|
| 1539 |
+
"INFO:root:Loading model from path: /home/irakli/foxtagger/models\n"
|
| 1540 |
+
]
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"name": "stdout",
|
| 1544 |
+
"output_type": "stream",
|
| 1545 |
+
"text": [
|
| 1546 |
+
"found 10856 images to process.\n"
|
| 1547 |
+
]
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"name": "stderr",
|
| 1551 |
+
"output_type": "stream",
|
| 1552 |
+
"text": [
|
| 1553 |
+
"2023-05-16 00:58:07.823512985 [W:onnxruntime:Default, onnxruntime_pybind_state.cc:541 CreateExecutionProviderInstance] Failed to create CUDAExecutionProvider. Please reference https://onnxruntime.ai/docs/reference/execution-providers/CUDA-ExecutionProvider.html#requirements to ensure all dependencies are met.\n",
|
| 1554 |
+
"INFO:root:Model loaded, input dimensions 448x448\n",
|
| 1555 |
+
"INFO:root:Loaded labels from /home/irakli/foxtagger/models/selected_tags.csv\n"
|
| 1556 |
+
]
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"data": {
|
| 1560 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 1561 |
+
"model_id": "a50ccecd857a49f79ac2fcd11cc8c8a0",
|
| 1562 |
+
"version_major": 2,
|
| 1563 |
+
"version_minor": 0
|
| 1564 |
+
},
|
| 1565 |
+
"text/plain": [
|
| 1566 |
+
" 0%| | 0/10856 [00:00<?, ?it/s]"
|
| 1567 |
+
]
|
| 1568 |
+
},
|
| 1569 |
+
"metadata": {},
|
| 1570 |
+
"output_type": "display_data"
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"name": "stdout",
|
| 1574 |
+
"output_type": "stream",
|
| 1575 |
+
"text": [
|
| 1576 |
+
"done!\n"
|
| 1577 |
+
]
|
| 1578 |
+
}
|
| 1579 |
+
],
|
| 1580 |
+
"source": [
|
| 1581 |
+
"main()"
|
| 1582 |
+
]
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"cell_type": "code",
|
| 1586 |
+
"execution_count": null,
|
| 1587 |
+
"id": "51d14c6b",
|
| 1588 |
+
"metadata": {},
|
| 1589 |
+
"outputs": [],
|
| 1590 |
+
"source": []
|
| 1591 |
+
}
|
| 1592 |
+
],
|
| 1593 |
+
"metadata": {
|
| 1594 |
+
"kernelspec": {
|
| 1595 |
+
"display_name": "Python 3 (ipykernel)",
|
| 1596 |
+
"language": "python",
|
| 1597 |
+
"name": "python3"
|
| 1598 |
+
},
|
| 1599 |
+
"language_info": {
|
| 1600 |
+
"codemirror_mode": {
|
| 1601 |
+
"name": "ipython",
|
| 1602 |
+
"version": 3
|
| 1603 |
+
},
|
| 1604 |
+
"file_extension": ".py",
|
| 1605 |
+
"mimetype": "text/x-python",
|
| 1606 |
+
"name": "python",
|
| 1607 |
+
"nbconvert_exporter": "python",
|
| 1608 |
+
"pygments_lexer": "ipython3",
|
| 1609 |
+
"version": "3.10.10"
|
| 1610 |
+
}
|
| 1611 |
+
},
|
| 1612 |
+
"nbformat": 4,
|
| 1613 |
+
"nbformat_minor": 5
|
| 1614 |
+
}
|
Vodka_v3_tagger/models/model.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e91daa19cd9e8725125b7d70702d1560855fb687f8d8c4218eddaa821f41834a
|
| 3 |
+
size 388479878
|
Vodka_v3_tagger/models/selected_tags.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Vodka_v3_tagger/output.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Vodka_v3_tagger/requirements.txt
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
huggingface-hub>=0.14.0
|
| 2 |
+
numpy>=1.23.5
|
| 3 |
+
onnxruntime-gpu>=1.14.1
|
| 4 |
+
pandas>=2.0.0
|
| 5 |
+
Pillow>=9.5.0
|
| 6 |
+
torch>=2.0.0
|
| 7 |
+
torchvision>=0.15.1
|
| 8 |
+
tqdm>=4.65.0
|
Vodka_v3_tagger/tag_counts.csv
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
tag,count
|
| 2 |
+
solo,5550
|
| 3 |
+
outdoors,3040
|
| 4 |
+
looking_at_viewer,2921
|
| 5 |
+
realistic,2914
|
| 6 |
+
blurry,1951
|
| 7 |
+
cloud,1630
|
| 8 |
+
simple_background,1353
|
| 9 |
+
upper_body,1311
|
| 10 |
+
jewelry,1213
|
| 11 |
+
blurry_background,1188
|
| 12 |
+
indoors,1083
|
| 13 |
+
day,1044
|
| 14 |
+
water,1015
|
| 15 |
+
dark_skin,690
|
| 16 |
+
white_background,689
|
| 17 |
+
monochrome,624
|
| 18 |
+
multiple_girls,609
|
| 19 |
+
closed_eyes,596
|
| 20 |
+
food,551
|
| 21 |
+
full_body,458
|
| 22 |
+
greyscale,454
|
| 23 |
+
from_behind,427
|
| 24 |
+
blue_sky,403
|
| 25 |
+
dark-skinned_female,348
|
| 26 |
+
artist_name,315
|
| 27 |
+
signature,294
|
| 28 |
+
book,281
|
| 29 |
+
from_side,272
|
| 30 |
+
solo_focus,244
|
| 31 |
+
gradient,143
|
| 32 |
+
english_text,138
|
| 33 |
+
gradient_background,127
|
| 34 |
+
military,121
|
| 35 |
+
pillow,111
|
| 36 |
+
painting_(medium),96
|
| 37 |
+
nude,93
|
| 38 |
+
shiny,72
|
| 39 |
+
surreal,69
|
| 40 |
+
painting_(object),69
|
| 41 |
+
photo_background,52
|
| 42 |
+
indian_style,52
|
| 43 |
+
wet,47
|
| 44 |
+
sepia,47
|
| 45 |
+
real_world_location,44
|
| 46 |
+
motion_blur,28
|
| 47 |
+
looking_to_the_side,25
|
| 48 |
+
retro_artstyle,23
|
| 49 |
+
blurry_foreground,22
|
| 50 |
+
photo_(object),20
|
| 51 |
+
comic,20
|
| 52 |
+
looking_back,15
|
| 53 |
+
chibi,12
|
| 54 |
+
real_life_insert,10
|
| 55 |
+
twitter_username,7
|
| 56 |
+
paint,7
|
| 57 |
+
dated,7
|
| 58 |
+
painting_(action),6
|
| 59 |
+
concept_art,6
|
| 60 |
+
1980s_(style),6
|
| 61 |
+
sketch,4
|
| 62 |
+
censored,2
|
| 63 |
+
shiny_skin,1
|
| 64 |
+
photo_inset,1
|
| 65 |
+
two_side_up,1
|
Vodka_v3_tagger/tag_counts_high_prob.csv
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
tag,count
|
| 2 |
+
solo,4987
|
| 3 |
+
outdoors,2320
|
| 4 |
+
looking_at_viewer,2154
|
| 5 |
+
realistic,2029
|
| 6 |
+
blurry,1426
|
| 7 |
+
cloud,1307
|
| 8 |
+
jewelry,1022
|
| 9 |
+
simple_background,975
|
| 10 |
+
blurry_background,783
|
| 11 |
+
indoors,714
|
| 12 |
+
water,682
|
| 13 |
+
day,655
|
| 14 |
+
upper_body,629
|
| 15 |
+
monochrome,565
|
| 16 |
+
white_background,562
|
| 17 |
+
dark_skin,548
|
| 18 |
+
multiple_girls,533
|
| 19 |
+
closed_eyes,477
|
| 20 |
+
food,458
|
| 21 |
+
greyscale,425
|
| 22 |
+
from_behind,283
|
| 23 |
+
dark-skinned_female,263
|
| 24 |
+
blue_sky,248
|
| 25 |
+
book,213
|
| 26 |
+
full_body,196
|
| 27 |
+
solo_focus,130
|
| 28 |
+
signature,125
|
| 29 |
+
from_side,99
|
| 30 |
+
artist_name,82
|
| 31 |
+
military,78
|
| 32 |
+
english_text,75
|
| 33 |
+
pillow,74
|
| 34 |
+
gradient,68
|
| 35 |
+
gradient_background,62
|
| 36 |
+
painting_(medium),56
|
| 37 |
+
nude,51
|
| 38 |
+
indian_style,36
|
| 39 |
+
painting_(object),35
|
| 40 |
+
shiny,29
|
| 41 |
+
surreal,28
|
| 42 |
+
photo_background,27
|
| 43 |
+
wet,24
|
| 44 |
+
sepia,24
|
| 45 |
+
real_world_location,24
|
| 46 |
+
retro_artstyle,14
|
| 47 |
+
motion_blur,12
|
| 48 |
+
chibi,11
|
| 49 |
+
comic,9
|
| 50 |
+
photo_(object),9
|
| 51 |
+
blurry_foreground,7
|
| 52 |
+
looking_back,7
|
| 53 |
+
sketch,4
|
| 54 |
+
looking_to_the_side,4
|
| 55 |
+
1980s_(style),4
|
| 56 |
+
real_life_insert,3
|
| 57 |
+
twitter_username,2
|
| 58 |
+
paint,2
|
| 59 |
+
concept_art,2
|
| 60 |
+
censored,2
|
| 61 |
+
painting_(action),2
|
| 62 |
+
dated,1
|
| 63 |
+
two_side_up,1
|