| """500 fully clothed fictional identities, eleven age groups, ten expressions.""" |
| from collections import Counter |
| import hashlib |
| import json |
| from pathlib import Path |
| import random |
| from vivarium_prompt_templates import CHARACTER_STYLE, CHARACTER_PROMPT_TEMPLATE |
|
|
| ROOT=Path(__file__).resolve().parents[1] |
| STATE=ROOT/'experiments/character-production' |
| AGES=[('baby',0,2),('preschool',3,5),('younger_schoolchild',6,8),('older_schoolchild',9,12), |
| ('younger_teen',13,15),('older_teen',16,18),('young_adult',19,29),('middle_adult',30,49), |
| ('older_adult',50,64),('younger_senior',65,79),('older_senior',80,95)] |
| EMOTIONS=[('neutral','a relaxed neutral expression with a slight friendly smile'), |
| ('joyful','natural joy: an open smiling mouth, raised cheeks and bright happy eyes'), |
| ('grateful','warm gratitude: a gentle closed-mouth appreciative smile and softly relaxed eyelids'), |
| ('playful','gentle playfulness: a small lopsided mischievous grin and one eyebrow slightly raised'), |
| ('angry','mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together'), |
| ('afraid','mild apprehension: raised inner eyebrows, slightly widened eyes and gently parted lips'), |
| ('sad','quiet mild sadness: raised inner eyebrows, softly sad eyes and downturned mouth corners'), |
| ('annoyed','mild annoyance: partly lowered eyelids, one brow lowered and a faint flat line of the lips'), |
| ('pain','brief mild discomfort: a slight wince, gently narrowed eyes and compressed lips, with no visible injury'), |
| ('disgust','mild distaste: a slight nose wrinkle, subtly raised upper lip and asymmetric downturned mouth')] |
| ETHNICITIES=[('white_caucasian','white European-ancestry', ['fair','light warm','light olive']), |
| ('african_american','African-American',['medium brown','deep brown','dark brown']), |
| ('arab','Arab',['light olive','warm tan','medium brown']), |
| ('latino','Latino',['light tan','warm medium brown','olive']), |
| ('indian','Indian',['warm brown','medium brown','deep brown']), |
| ('japanese','Japanese',['light warm','medium light','light tan']), |
| ('southeast_asian','Southeast Asian',['warm tan','medium brown','light golden brown']), |
| ('indigenous_american','Indigenous American',['warm tan','medium brown','light brown'])] |
| HAIR_M=['neatly cropped straight hair','short naturally curly hair','soft wavy hair swept to one side', |
| 'close-cropped textured hair','short tousled hair','a tidy side-part hairstyle'] |
| HAIR_F=['a short practical bob','shoulder-length naturally wavy hair','a neatly tied ponytail', |
| 'short naturally curly hair','a loose braid over one shoulder','a cropped textured hairstyle'] |
| COLORS=['navy','burgundy','rust red','ochre','cream','plum','brown','charcoal','royal blue','soft lavender'] |
|
|
| def seed(text):return int.from_bytes(hashlib.sha256(('vivarium-people-2026-10-06:'+text).encode()).digest()[:4],'big') |
|
|
| def write(path,value): |
| path.parent.mkdir(parents=True,exist_ok=True);path.write_text(json.dumps(value,indent=2,ensure_ascii=False)+'\n') |
|
|
| def outfit(age,gender,rng,serial): |
| color=rng.choice(COLORS) |
| if age<=2: |
| options=[('baby_everyday',f'a fully covering {color} cotton romper with long sleeves and soft booties'), |
| ('baby_layers',f'a {color} knitted cardigan over a cream long-sleeved top, soft trousers and booties'), |
| ('baby_sporty',f'a {color} long-sleeved sweatshirt, loose cotton trousers and soft socks')] |
| elif age<=12: |
| options=[('child_sporty',f'a {color} sweatshirt, loose navy joggers and closed sneakers'), |
| ('child_everyday',f'a {color} cardigan over a cream T-shirt, comfortable brown trousers and closed shoes'), |
| ('child_outdoors',f'a {color} zip jacket, full-length charcoal trousers and sturdy closed shoes'), |
| ('child_school',f'a {color} cardigan over a white collared shirt, navy school trousers and closed shoes'), |
| ('child_creative',f'a {color} long-sleeved shirt, brown cotton dungarees and closed canvas shoes'), |
| ('child_formal',f'a {color} buttoned cardigan, cream collared shirt, full-length navy trousers and neat closed shoes')] |
| else: |
| options=[('sporty',f'a {color} sweatshirt, loose navy athletic trousers and closed sneakers'), |
| ('casual_layers',f'a {color} cardigan over a cream crew-neck top, brown trousers and closed shoes'), |
| ('outdoors',f'a {color} practical jacket, charcoal hiking trousers and closed walking shoes'), |
| ('smart_casual',f'a {color} collared shirt under a cream cardigan, navy trousers and neat closed shoes'), |
| ('formal',f'a {color} tailored jacket over a cream buttoned shirt, matching full-length trousers and closed dress shoes'), |
| ('workwear',f'a {color} long-sleeved work shirt, practical brown carpenter trousers and closed work boots'), |
| ('rock_inspired',f'a dark {color} denim jacket over a cream crew-neck T-shirt, loose dark trousers and closed boots'), |
| ('crafts',f'a {color} cotton overshirt over a cream top, navy canvas trousers and closed shoes'), |
| ('simple_everyday',f'a {color} knitted pullover, full-length brown trousers and plain closed shoes')] |
| if gender=='female': |
| options+=[('everyday_dress',f'a {color} long-sleeved knee-length day dress over opaque dark leggings with closed shoes'), |
| ('formal_skirt',f'a {color} buttoned jacket, a cream high-neck blouse, a knee-length skirt over opaque leggings and closed shoes')] |
| kind,clothes=options[serial%len(options)] |
| return kind,clothes |
|
|
| def description(person): |
| age=person['age_years'];gender=person['gender'];eth=person['ethnicity_prompt_label'];skin=person['skin_tone'] |
| if person['age_group']=='baby': |
| subject=f"one fictional {person['age_months']}-month-old baby {'boy' if gender=='male' else 'girl'}" |
| anatomy='natural infant proportions, a softly rounded face and gentle proportionate eyes' |
| elif age<13: |
| subject=f"one fictional {age}-year-old {'boy' if gender=='male' else 'girl'}" |
| anatomy='natural school-child proportions, modest almond-shaped eyes, a proportionate head and restrained facial features' if age>=6 else 'natural preschool-child proportions and restrained facial features' |
| elif age<16: |
| subject=f"one fictional {age}-year-old {'boy' if gender=='male' else 'girl'}, an early adolescent" |
| anatomy='natural adolescent proportions, modest almond-shaped eyes and a proportionate head' |
| elif age<=18: |
| subject=f"one fictional mature-looking {age}-year-old {'young man' if gender=='male' else 'young woman'}, a late adolescent" |
| anatomy='a near-adult elongated oval face, modest almond-shaped eyes, a subtly defined jaw, a proportionate head and long adolescent limbs' |
| else: |
| subject=f"one fictional {age}-year-old {'man' if gender=='male' else 'woman'}" |
| anatomy='natural adult proportions and a proportionate face' |
| if age>=50:anatomy+=', age-appropriate facial lines' |
| if age>=65:anatomy+=', clearly visible natural wrinkles' |
| return f"{subject}, {eth} heritage, {skin} skin, {person['hair']}, {person['build']}, wearing {person['outfit']}, fully clothed and age-appropriate. {anatomy}" |
|
|
| def prompt(person,emotion,reference=False): |
| expression=dict(EMOTIONS)[emotion] |
| text=CHARACTER_PROMPT_TEMPLATE.format(description=description(person),style=CHARACTER_STYLE) |
| text=text.replace('Calm friendly expression, facing the viewer.',f'{expression.capitalize()}, facing the viewer.') |
| if person['age_group']=='baby': |
| text=text.replace('Standing three-quarter portrait, head to thighs, hands and shoulders inside the frame, margin around the silhouette.', |
| 'Sitting upright in a safe natural infant posture, entire clothed body inside the frame with a margin around the silhouette.') |
| if reference: |
| age=f"{person['age_months']}-month-old baby" if person['age_group']=='baby' else f"{person['age_years']}-year-old person" |
| text=(f'vvar_char, edit the reference portrait. Make this exact same fictional {age} show {expression}. ' |
| 'Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. ' |
| 'Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. ' |
| f'{CHARACTER_STYLE} Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. ' |
| 'No scenery, no text, no logo, no watermark.') |
| return text |
|
|
| def main(): |
| other_index=0;persons=[] |
| |
| priority={'older_schoolchild','younger_teen','older_teen','young_adult'} |
| for group,low,high in AGES: |
| for gender in ['male','female']: |
| count=24 if group in priority else 22 |
| for j in range(count): |
| ident=f'person-{len(persons)+1:04d}';rng=random.Random(seed(ident)) |
| if j%2==0:eth=ETHNICITIES[0] |
| else:eth=ETHNICITIES[1+other_index%7];other_index+=1 |
| age=rng.randint(max(low,1),high) |
| months=rng.choice([9,12,15,18,21,24]) if group=='baby' else 0 |
| if group=='baby':age=months//12 |
| hair_color=rng.choice(['dark brown','black','medium brown','chestnut']) |
| if eth[0]=='white_caucasian':hair_color=rng.choice(['dark brown','light brown','blond','auburn','black']) |
| if age>=65:hair_color=rng.choice(['silver','white','gray']) |
| elif age>=50:hair_color+=' with natural gray strands' |
| style=rng.choice(HAIR_M if gender=='male' else HAIR_F) |
| hair=f'{hair_color} {style}' |
| if group=='baby':hair=f'soft sparse {hair_color} baby hair' |
| body=rng.choice(['a slim build','an average build','a sturdy build','a compact build']) if age>=16 else 'a natural age-appropriate build' |
| style_id,clothes=outfit(age,gender,rng,j) |
| p=dict(personality_id=ident,character_id=ident,age_group=group,age_years=age,age_months=months, |
| gender=gender,ethnicity=eth[0],ethnicity_prompt_label=eth[1],skin_tone=rng.choice(eth[2]),hair=hair, |
| build=body,outfit_id='outfit-01',outfit_style=style_id,outfit=clothes,seed=seed(ident),default_emotion='neutral') |
| p['description']=description(p);persons.append(p) |
| assert len(persons)==500 |
| assert Counter(p['gender'] for p in persons)==dict(male=250,female=250) |
| assert sum(p['ethnicity']=='white_caucasian' for p in persons)==250 |
| jobs=[] |
| for p in persons: |
| negative='extra people, changed clothing, different hairstyle, exaggerated expression, text, logo, watermark, background scenery' |
| if p['age_years']>=6:negative+=', oversized doll eyes, chibi proportions' |
| expressions=[dict(id=p['personality_id']+'-'+e,emotion=e,prompt=prompt(p,e,e!='neutral'),negative_prompt=negative if e=='neutral' else negative.replace('exaggerated expression, ',''), |
| seed=p['seed'],reference_id='' if e=='neutral' else p['personality_id']+'-neutral') for e,cue in EMOTIONS] |
| jobs.append(dict(**p,expressions=expressions)) |
| assert len({j['id'] for p in jobs for j in p['expressions']})==5000 |
| write(STATE/'person-plan.json',jobs) |
| write(STATE/'planning/allocation.json',dict(persons=500,images=5000,emotions_per_person=10, |
| by_age_and_gender={f'{a}/{g}':sum(p['age_group']==a and p['gender']==g for p in persons) for a,l,h in AGES for g in ['male','female']}, |
| ethnicity_counts=dict(Counter(p['ethnicity'] for p in persons)),gender_counts=dict(Counter(p['gender'] for p in persons)), |
| race_labels_are_prompt_attributes=True,ethnicity_not_inferred_from_appearance=True, |
| default_emotion='neutral',reference_policy='Neutral image reused for9 expression edits; same seeded noise per identity', |
| reference_width=416,reference_height=624,output_width=832,output_height=1248,steps=50,cfg=4.0)) |
| write(STATE/'planning/taxonomy.json',dict(age_groups=[dict(id=a,min_age=l,max_age=h) for a,l,h in AGES], |
| emotions=[dict(id=e,expression=v) for e,v in EMOTIONS],ethnicity_groups=[dict(id=e,prompt_label=v) for e,v,s in ETHNICITIES], |
| default_emotion='neutral',minor_policy='Fully clothed,age-appropriate everyday outfits; mild platonic expressions', |
| baby_pose='Safely seated upright,full body visible; actual sampled infant ages9–24months', |
| school_child_pose='Standing head-to-thigh portrait; modest natural facial proportions')) |
| print(json.dumps(json.loads((STATE/'planning/allocation.json').read_text()),indent=2)) |
|
|
| if __name__=='__main__':main() |
|
|
