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
ADDED
The diff for this file is too large to render.
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Vodka_v3_tagger/convnextv2_v2_selected_tags.csv
ADDED
The diff for this file is too large to render.
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Vodka_v3_tagger/exclude_tags.csv
ADDED
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Vodka_v3_tagger/fox_tagger.ipynb
ADDED
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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
|