V67 World of Work
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V67 World of Work
Young Professionals & Twin Versatility for Z Image Turbo and Flux- (Male & Female Editions – Separate Lists)
Premise:
If you decide to use my model and your image is chosen for the cover of CIVITAI, I will give you 500 Yellow Buzz, even if the image combines multiple models.
R+ images will be hidden from the gallery. LoRA model trained with Z Image Turbo and Flux 2.
Putting a Like to the V67 models is worth more than giving me Buzz (yellow/green).
After the success of V67 Female Faces and V67 Real Men at Work, this is the professional counterpart:
V67 World of Work
What it does:
Generates consistent, realistic images of young professionals (20–40 years) in diverse work settings – clean, well‑dressed, authentic yet polished.
Key features:
Age range: 20–40 years
Well‑dressed professionals (business attire, smart casual, uniforms)
Separate profession lists for male and female workers
Identical twins capability for any profession (same gender)
Ultra‑fast inference: 8–15 steps on Z‑Image Turbo
Dataset: 300+ curated images at 1024×1024 resolution
Slide 3 – Trigger Words (Unisex)
Use these 12 trigger words at the beginning of every prompt (one line, comma separated):
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal
Best practice:
Start your prompt with the full trigger line, then continue with the specific description.
Example (male):v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 30 year old male accountant…
Example (female):v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 28 year old female accountant…
ProfessionKey visual traits (well‑dressed)AccountantNavy suit, tie, calculator, modern officeArchitectBlazer, blueprint roll, designer glasses, studioBankerTailored suit, cufflinks, marble lobbyConsultantLaptop, blazer, meeting room whiteboardCivil EngineerHard hat with suit, CAD screenIT Engineer / DeveloperCasual button‑down, multiple monitors, codeExecutiveBespoke suit, corner office, city viewGraphic DesignerHoodie or smart casual, dual monitorsHR ManagerDress shirt, clipboard, office corridorJournalistPress badge, notebook, newsroomLawyerThree‑piece suit, briefcase, law libraryMarketing ManagerCasual blazer, presentation screenProject ManagerBusiness casual, hard hat, boardroom or siteReal Estate AgentSmart suit, tablet, “for sale” signSales RepresentativeName tag, product samples, showroomSoftware DeveloperCasual hoodie or button‑down, code on screenTeacherSmart casual, whiteboard, classroomVeterinarianClean lab coat, stethoscope, clinicRetail ManagerPolished casual, name badge, modern storeBaristaApron over shirt, coffee machine, café
All male subjects are 20–40 years old, shown with typical work tools and environments, always well‑dressed.
ProfessionKey visual traits (well‑dressed)AccountantCream blouse, tailored blazer, calculatorArchitectBlack turtleneck, sleek ponytail, blueprint rollBankerPinstripe pantsuit, pearl necklace, marble lobbyConsultantSilk blouse, tablet, meeting roomCivil EngineerHard hat with blazer, CAD screenIT Engineer / DeveloperSmart casual blouse, multiple monitors, codeExecutiveDesigner suit, corner office, city viewGraphic DesignerCreative casual, dual monitors, drawing tabletHR ManagerSmart blouse, clipboard, office corridorJournalistPress badge, notebook, TV studio or newsroomLawyerPantsuit or sheath dress, briefcase, law libraryMarketing ManagerCasual blazer, presentation screen, team meetingProject ManagerBusiness casual, hard hat, boardroomReal Estate AgentProfessional dress, tablet, open house signSales RepresentativeName tag, product samples, showroomSoftware DeveloperCasual blouse or hoodie, code on screenTeacherSmart casual, whiteboard, classroomVeterinarianClean lab coat, stethoscope, clinicRetail ManagerPolished casual, name badge, modern storeBaristaApron over blouse, coffee machine, café
All female subjects are 20–40 years old, shown with typical work tools and environments, always well‑dressed.
Male Accountant (30)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 30 year old male accountant, navy suit and silver tie, reviewing a spreadsheet on dual monitors, glasses, focused expression, modern open office, soft overhead lighting, medium shot, natural skin texture
Female Accountant (28)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 28 year old female accountant, cream blouse and tailored blazer, holding a calculator, standing by a filing cabinet, short neat hair, subtle jewelry, bright office daylight, medium close-up
Male Software Developer (26)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 26 year old male software developer, casual button‑down shirt, sitting at a desk with three monitors, code on screen, coffee mug, plants in background, bright office, medium shot
Female Software Developer (29)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 29 year old female software developer, smart casual blouse, holding a tablet, standing next to a whiteboard covered in algorithms, agile board visible, modern startup office, warm lighting
Male Lawyer (38)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 38 year old male lawyer, three‑piece suit, standing in a law library, holding a leather briefcase, confident posture, natural skin pores, sharp focus
Female Lawyer (34)
v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, RAW photo, a 34 year old female lawyer, pinstripe pantsuit, reading a document in a courtroom aisle, glasses on a chain, serious but calm expression, dramatic window light
(Additional examples available on request.)
Slide 7 – Twin Feature (Same Gender)
The LoRA generates identical twins for any profession. Twins must be the same gender – use the male list for male twins, female list for female twins.
Example – Female Marketing Twins (27):v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, two identical female marketing twins, 27 years old, dark hair, brown eyes, matching white blouses and grey blazers, standing side by side in a modern meeting room, holding a tablet together, symmetrical pose, medium shot
Example – Male Consultant Twins (31):v67worldofwork, professional, well-dressed, realistic, young, worker, office, corporate, clean, candid, portrait, formal, two identical male consultant twins, 31 years old, clean‑shaven, navy suits, standing in front of a glass whiteboard, identical posture, business casual shoes, bright lobby, medium wide shot
Tips for twins:
Use
two identical [profession] twinsSpecify age, hair, skin, eyes
Add
symmetrical poseandidentical [clothing]Keep the scene simple to avoid merging artifacts
Slide 8 – Recommended Settings (Z‑Image Turbo)
ParameterRecommended ValueNotesLoRA weight0.7 – 1.0Start at 0.8Steps8 – 158 for speed, 12–15 for qualityGuidance scale (CFG)1.0Fixed for Turbo modelsResolution1024×1024Native; up to 4MP supportedSamplerEuler + beta or DPM++For photorealistic results
Important:
Negative prompts are NOT supported – include all constraints in the positive prompt.
Always set
guidance_scale=1.0.
Slide 9 – Training Details
ParameterValueBase modelZ-Image-Turbo (Tongyi-MAI)Training methodStandard SFT + LoRA (DistillPatch)Dataset300+ images at 1024×1024 (balanced male/female)LoRA rank (r)16Learning rate1e-4VRAM required~12 GB
Training preserves Z‑Image‑Turbo's speed – high quality in 8–15 steps.
Slide 10 – Pro Tips for Best Results
Always start with the 12 trigger words – they activate the style.
Place the main subject in the first 8–10 words of the prompt.
Use short phrases for lighting, background, and mood.
Include realism boosters:
ultra-detailed, sharp eyes, realistic skin texture, natural pores, clean professional attire, subtle fabric wrinkles.For portraits:
close-up, shoulder-up, headshot.For twins:
identical, symmetrical pose, matching outfits.
Speed vs quality:
8 steps → concept exploration
12–15 steps → final assets
Slide 11 – Civitai Cover Prize (Reminder)
If you use V67 World of Work and your image is chosen for the CIVITAI cover, you receive 500 Yellow Buzz.
This applies even if the image combines multiple models.
R+ rated images are hidden from the gallery.
Slide 12 – Resources & Links
Model download: [Insert your Civitai link]
Z-Image Turbo on Hugging Face:
Tongyi-MAI/Z-Image-TurboRequired text encoder: Qwen 3 4B (download separately for ComfyUI)
Hashtag:
#V67WorldOfWork
Slide 13 – Final Notes
This LoRA celebrates real professionals across the globe – no filters, no exaggerated glamour, just authentic, well‑dressed people at work from 20 to 40 years of age.
Male and female profession lists are separate for clarity and easier prompting – simply choose the appropriate list and adjust pronouns/clothing accordingly.
The twin capability works for any profession and was trained on both real and synthetic image pairs to ensure facial consistency and symmetry.
Z‑Image Turbo’s distilled architecture makes it one of the fastest high‑quality models available. Combined with this LoRA, you can generate diverse, age‑specific professional portraits in seconds – even on consumer hardware with 12GB VRAM.
Have fun creating polished, realistic character stories for the modern workplace!
Sláinte! / Skål! / 乾杯! / Cheers! 🍀