An Ecologist Headshot in the Flooded Forest

The Ecologist headshot register

In the high-water months the great river floods its forest, trees standing in brown-green water, canoes moving between them, a research station on stilts and pink dolphins in the channels. The light under the canopy is a humid green. The pack puts the ecologist there in river green from pale reflected canopy to deep tea-brown water: a deep green cotton jacket over an olive shirt.

He stands before a wall of flooded-forest foliage in humid light from one side, rests a hand on the station's weathered stilt rail with trunks standing soft in the water behind him, and stands on the station deck at half-length as the trees rise from the water beneath the canopy, a canoe soft between them. A man dressed in the green his forest and its water share.

What comes out is photographic: nine photos of you, three in each of three settings, in the look of the flooded forest. The place and the wardrobe are borrowed as a setting; the photos are portraits of you, not pictures taken there.

How to photograph yourself for an ecologist headshot

Better source photos make better portraits. An ordinary phone photo is enough, and a few habits sharpen the likeness.

1. Even, soft lightStand near a window with daylight on your face. Avoid overhead bulbs and phone flash, which flatten a face.
2. Front or three-quarter angleCamera at eye level, facing it or turned slightly. No shot from below, no stretched arm.
3. Face fully clearHair off the face, no sunglasses and no filters. A clear, front-facing phone photo is the best starting point.
4. Dress near the lookThe pack renders a plain jacket or open shirt in a solid, muted colour. The closer your source photo is to that register, the sharper the likeness.
5. A plain background is fineDo not worry about your own backdrop. The pack replaces it entirely.

Frequently asked questions

Is this a real photo taken at the flooded forest?

No. It is a portrait of you set in the look of the flooded forest. It is not a picture taken there.

Will it look like a real photograph?

Yes. Every photo is photoreal: a real-looking photograph of you in the look of the flooded forest, not a painting or a cartoon.

Who is ecologist headshot for?

It suits ecologists, conservation scientists, biologists, field researchers and graduate students, for a research group page, a grant application or an author photo.

Why this colour?

The canopy and its reflection are green, and the water is tea-brown. A green jacket over olive keeps him in the forest's own range.

Is this pack for men?

The wardrobe and styling are cut for men, so the pack reads that way. Other packs on Narcis suit other looks.

Will the photos look like me?

Every photo looks like you, well photographed. If one is nearly right, say what to change, in your own words.

Do I have to write a prompt?

No. There is nothing to write: you pick a pack, and it is ready in seconds.

How many photos of myself do I add?

Between six and twenty, from different days and in different light, with your face clear. We check each one when you add it.

What happens to the photos I add?

They are used only to create your model, on our own servers in the European Union. They are not shared and not sold.

When this pack fits

• An ecologist headshot for a research group or institute page
• A scientist headshot for a grant application
• A researcher portrait for a paper's author page
• An author photo for a book on rivers and forests

About narcis

Most AI photo tools put every pose, job, era, and style in one giant catalog. The photos all look like every other AI photo on the internet — a glaze over a stock face. Narcis goes the other way. One job: photos of you that look like photographs. You add at least 6 photos of yourself, and we create your AI model from them. Your photos are ready in a few hours, and we email you when they are. Then this pack and every other pack on Narcis can be made with your face. Each pack is curated against real references — paintings, photographers, places — and tested on real faces before it goes live. Built and run by one small team, on our own servers.