I Wrote 40 Headshot Prompts Before One Looked Like an Actual Person

Creating reliable AI professional headshots depends on using an image-editing model with a selfie reference rather than text-to-image generation, which can invent a different person, and on protecting recognizable features with explicit instructions against retouching or beautification. The described reusable prompt structure combines an identity guard with five elements—pose, attire, lighting, background, and lens-style framing—to reduce generic, overly polished results and allow styles to be changed by modifying only selected clauses. It recommends head-and-shoulders crops and closed-mouth expressions to avoid common AI errors involving hands and teeth, while noting that specific traits such as freckles, scars, or hair partings must be named individually if they need preservation. The discussion compares a free preset-based Atlas Cloud headshot tool, which offers limited control, with prompt-capable models including Seedream, GPT Image 2, and Nano Banana 2, whose costs, output sizes, and interpretations of the same prompt vary. It concludes that detailed prompting is most useful when a headshot must meet particular brand, wardrobe, or team-standard requirements, whereas a simple preset tool may suffice for an uncomplicated individual profile image.

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