Rabona AI photo tips: the three things that decide your render

Most disappointing Rabona AI renders are not a model failure. They are a photo problem. Three decisions account for nearly all of it.

1. One person, full body, feet clear

The generator needs to see the whole body to place it in the move. If the frame cuts at the ankles or mid-thigh, the legs get invented and the run reads as a smear rather than a touchline sprint.

• Whole body in frame with a little space around the feet — not flush to the bottom edge.
• One person only. Two people in frame give the model two bodies to average, which is worse than either alone.
• Face visible and reasonably large. A face that occupies a tiny part of a wide shot carries almost no detail through the model.

2. Plain or simple background

The clip puts your photo into a floodlit stadium at night. A busy background in the source photo gets carried into the render and fights the stadium behind it — a cluttered room reads as a stadium with furniture in it.

A plain wall, an open space, or a blurred outdoor background all work. Daylight is fine; the lighting is re-lit to match the template.

3. Landscape orientation in the source

The output is 9:16 vertical, but a landscape source gives the model more of the body to work with. Portrait source photos crop hard, especially around the feet.

What actually lowers quality

What is fine, contrary to what people assume

• Daylight — it is re-lit to the template's stadium lighting anyway.
• Sports kit or a plain t-shirt — clothing is carried from your photo, so it reads naturally.
• A slightly imperfect photo — motion blur in the source is far less damaging than a cropped body.
• A pet instead of a person — pet versions are the most shared branch of #lanorabona.

Then generate it

Once the photo is right, run it through Lamine Yamal Rabona AI — $6.90, ten seconds, 9:16, 768p, rendered in two to four minutes. If the first render still misses, check the mistakes that cause it before you pay for a second one.