Virtual Try-On Lighting Match
Prompt #627 of 1,000+ in Advanced AI Workflows & Automation, published by Fashion AI School. Copy it as-is and paste it into your AI tool.
Written and maintained by the Fashion AI School Editorial team · Updated 26 Oct 2026
Studio product compositing prompt: Seamlessly fit [apparel piece, e.g., tailored double-breasted wool blazer] onto a [body type/pose, e.g., standing model turned 3/4]. Match lighting to [ambient setup, e.g., warm golden hour rim light with soft fill], preserving micro-wrinkles, natural collar curvature, and realistic tension across the shoulder line.What you get back
A workflow: steps, inputs, outputs and handover points described so it can be repeated by someone else.
One variation to try
Run the workflow manually once before automating it. Anything still unclear by hand will break when scripted.
Before you use it
Keep a human decision point wherever the output reaches a customer, and log what went in and what came out.
Why this prompt works
This prompt combines a ready-to-use instruction, a clearly separated brief, focused constraints. Specific inputs reduce ambiguity while keeping the original creative direction intact.
Useful for
- - Virtual try-on post-production
Field guide
This prompt is complete as written. Add brand, audience or production context only where it helps your brief.
How to use this prompt
- 01
Open your tool
Start a new conversation or generation in Flux.1 Dev, ComfyUI.
- 02
Paste and adapt
Copy the prompt, paste it and add any brand-specific detail.
- 03
Iterate
Ask for variations, tighten constraints, or feed the output back in with your own references.
Free resources to go with this prompt
All resources →Getting an AI headshot that does not look AI
The lighting, lens and skin details that separate a convincing AI headshot from a plastic one.
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Ten spoken prompts for camera glasses and live camera AI, plus the workflow that turns what you saw into a usable brief.
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A working vocabulary of light quality, direction and colour temperature for sharper AI prompting.
Learn this at Fashion AI School
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