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Optimized for: Gemini / ChatGPT / Claude
#Headshots

Consistent Face-Swap Training Frame Prompt

Customize the variables below to instantly engineer your prompt.

Required Variables

consistent-face-swap-training-headshot.txt
Act as a Machine Learning Dataset Architect. Generate a hyper-sterile, ultra-high-resolution base image specifically engineered to act as the flawless foundational plate for an AI face-swapping algorithm (e.g., Roop or InsightFace). Subject: A mathematically perfect, symmetrical [FACIAL_ANGLE] (e.g., dead-on 0 degrees or a strict 45-degree profile) view of a generic professional. Lighting: Dictate a completely flat, shadow-destroying [LIGHTING_DIRECTION] (e.g., full frontal ring light) to ensure absolutely zero harsh shadows corrupt the facial topography mapping. Expression: A completely dead, frozen [EXPRESSION_TYPE] to prevent muscle distortion. Background: A pure, unclipped #FFFFFF flat white canvas for effortless masking and alpha-channel extraction. Technical: Enforce entirely neutral color grading, absolute zero wide-angle lens distortion, and demand terrifyingly sharp, pore-level focus on all facial landmarks.

Expected Visual Output

Expected visual output for Consistent Face-Swap Training Frame Prompt

Example Text Output

"A perfectly sharp"

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Frequently Asked Questions

What is the "Consistent Face-Swap Training Frame Prompt" prompt used for?

A perfectly sharp

Which AI tools work with this prompt?

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?

Use the variable fields above to fill in your specific details. The prompt will auto-update as you type, ready to copy instantly.

Is this prompt free?

Yes! All prompts on Blenra are free to copy and use immediately. No account required.