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Step one: the reference set
Everything starts with 2–6 photos of your face. The model reads them to build an internal understanding of your features — bone structure, skin, hair, the way your face changes across angles. This is why set quality dominates results: six identical selfies teach one angle; varied, sharp, well-lit frames teach a face.
Darkroom grades your set before you spend anything. The set check scores every frame for light, angle, sharpness and cross-photo consistency, and names the weakest frame so you can replace it. It's unlimited on every plan because a good set is the cheapest insurance there is.
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Step two: the brief
The second input is the shot itself. In Darkroom, that's either a pre-lit pack — a complete setup of key light, backdrop, lens and styling — or your own description, which the AI expands into a photographer's brief: lighting ratios, camera body and lens, pose, wardrobe, colour story. The ✨ AI Prompt Writer can draft that brief from a single plain-English sentence.
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Step three: the render
The model then generates a brand-new image: your face, reconstructed from the references, placed inside the brief's lighting, lens and setting. Nothing is pasted or retouched — it's a fresh render, which is why the light wraps naturally and why it takes about 15 seconds rather than 15 milliseconds. Identity preservation is the hard part of this step, and it's why we built identity-first prompting: the brief tells the model to protect your features before it chases the style.
- Your likeness comes only from your reference photos
- Light, lens, pose and wardrobe come from the brief
- The image is generated fresh — no compositing, no filters
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Why some AI headshots look fake
Almost every obvious AI headshot fails in one of three places: a weak reference set (so the face drifts), an overreaching brief (so the face is fighting the style), or plastic over-smoothing in the model. The fixes are the set check, honest briefs, and treating renders as look tests — which is exactly how the studio is built.