Friendly Indian IT Engineer Man Pramod | Realistic Z-Image Turbo LoRA

Pramod_Zit - Versatile IT Professional

Pramod_Zit is a competent and approachable South Asian man in his 40s with warm medium-brown skin, intelligent dark eyes behind stylish black-rimmed glasses, short neatly styled dark hair with a slight wave, and a calm, focused expression that reflects quiet expertise. He has a medium build, a thoughtful face, and a professional yet relatable presence. Whether working at a desk with multiple monitors full of code, presenting in a boardroom wearing a sharp black suit, reviewing documents in a checkered shirt and tie, coding late at night, standing confidently with a lanyard in a modern office, pondering over a whiteboard with diagrams, or teaching a class in casual checkered shirt and chinos, he perfectly embodies the everyday IT professional.

This character LoRA captures his authentic likeness with realistic detail and natural versatility — ideal for tech office scenes, late-night coding sessions, team meetings, software development workflows, training workshops, whiteboard brainstorming, or corporate presentations. He brings that genuine South Asian IT guy energy — reliable, knowledgeable, and quietly confident — making every image feel authentic and relatable.

Recommended Usage with Z-Image Turbo (very important!):

This LoRA is designed exclusively for z-image-turbo and is not compatible with z-image-base.

Always start your prompt with a full descriptive sentence such as: “A focused shot of an IT professional named pramod_zit working intently at his desk with multiple monitors displaying lines of code…” or “A professional scene of a tech expert called pramod_zit presenting confidently to a team in a modern conference room with a laptop on the table…”

Then add all the details about clothing, pose, lighting, mood, action, and style.

Simply adding “pramod_zit” as a tag at the end of the prompt will not work well with z-image-turbo. The trigger needs to be integrated naturally into the sentence for best results.

First KSampler: steps = 1, CFG = 1, sampler = euler, scheduler = beta, denoise = 1 Second KSampler: steps = 8, CFG = 1, sampler = euler, scheduler = beta, denoise = 1 ModelSamplingAuraFlow shift = 1.73

Disclaimer: This LoRA was trained exclusively using AI-generated images.