---
tags:
- clip
- not-for-all-audiences
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: mit
---
# Model card for open-clip-vit-h-nsfw-finetune

words trained, some have more training data than others:
```
 'closeup': dict_values(['close up']),
 'group': dict_values(['2 women', 'multiple women']),
 'view': dict_values(['3/4 view', 'front view', '3/4 rear view', 'rear view', 'side view', 'high angle', 'low angle', 'overhead view', 'overhead view', 'under thighs view', 'front view', '3/4 view', 'side view', '3/4 rear view', 'rear view', 'high angle', 'low angle', 'overhead view', 'under thighs view']),
 'shot': dict_values(['wide shot', 'full body shot', 'cowboy shot', 'upper body shot', 'medium shot', 'close up shot']),
 'type': dict_valuet_values(['small', 'large', 'medium']),
 'breast-propertiess(['fetal position, from below', 'fetal position', 'kneeling', 'on all fours', 'prone', 'prone', 'prone', 'prone', 'prone', 'prone', 'recumbent from below', 'recumbent', 'recumbent', 'sitting with her knees up', 'sitting crosslegged', 'sitting', 'squatting', 'standing', 'supine', 'supine', 'supine with her knees up', 'upside down supine', 'supine', 'leaning', 'walking']),
 'pose-legs': dict_values(['legs apart', 'legs together', 'legs crossed', 'legs overlapping', 'legs spread', 'knee drawn up', 'one knee up', 'both knees up']),
 'clothing': dict_values(['a bikini that is too small', 'bikini bottoms', 'a bikini top', 'a bikini', 'a bodysuit', 'a bra', 'a crop top', 'a dress', 'garters', 'glasses', 'goggles', 'gym shorts', 'a halter top', 'a hat', 'a handbra', 'a hoodie', 'a jacket', 'jeans', 'a jumper', 'a gown', 'a lace-up top', 'leggings', 'lingerie', 'a long sleeved top', 'a off-shoulder top', 'a nightgown', 'a coat', 'overalls', 'pink pajamas', 'pajamas', 'panties', 'pantyhose', 'a t-shirt', 'a robe', 'a bathrobe', 'a piece of fabric', 'a scarf', 'a shirt', 'shorts', 'a skirt', 'a sleeveless top', 'a slip', 'sneakers', 'tube socks', 'a sports bra', 'sunglasses', 'sweatpants', 'a one piece swimsuit', 'a t-shirt', 'a tank top', 'a tied shirt', 'a top', 'long pants', 'a wetsuit', 'a backpack']),
 'clothing-state': dict_values(['high hem', 'low hem', 'high waist', 'low waist', 'unzipped', 'open', 'polkadot', 'pulled up', 'pulled down', 'see-through white', 'see-through black', 'see-through', 'fishnet', 'lace', 'mesh', 'loose', 'thin', 'wet']),
 'clothing-extras': dict_values(['strap slipping off her shoulder', 'lifting her shirt', 'visible nipples', 'bare midriff']),
 'clothing-undressing': dict_values(['undressing', 'unbuttoning', 'unzipping']),
 'pussy': dict_values(['hairy', 'shaved', 'puffy', 'tulip', 'puffy', 'curtains', ' ']),
 'hair': dict_values(['long', 'braided', 'short', 'curly', 'brown', 'blonde', 'black', 'red', 'wet']),
 'face': dict_values(['beautiful', 'cute', 'young', 'pretty']),
 'expression': dict_values(['scared', 'annoyed', 'aroused', 'bored', 'confident', 'distracted', 'dominating', 'embarrassed', 'scared', 'laughing', 'shy', 'orgasm']),
 'smile': dict_values(['joker grin', 'friendly', 'duchenne', 'flirty', 'fake', 'polite', 'caring', 'playful']),
 'butt': dict_values(['round butt', 'cute butt']),
 'hips': dict_values(['broad hips']),
 'misc': dict_values(['thighs', 'skinny', 'wet skin', 'soapy', 'with her arms raised', 'with her hand on her hip', 'medium shot', 'heterophoria', 'eyes closed', 'eye contact', 'low quality', 'high quality', 'tanlines', 'black background', 'sunlight', 'glasses on her head', 'mirror', 'ponytail', 'bangs', 'hair in a bun', 'tattoo', 'submerged']),
```