← Character studies

Production breakdown / Nova Grande

Less render.
More photograph.

Keep the character. Change how light, materials and the camera describe her.

My contribution
Reference selection, scene direction, prompting and visual QA
Tools used
Native ChatGPT / OpenAI image generation
Output
Three lighting tests, followed by six profile variations

The shift in treatment

Different scenes from the same character project. This shows the direction of the iteration, rather than a matched retouch.

Earlier / studio portraitEven illumination, orderly hair and a polished finish made the character feel more rendered.
Selected direction / night selfieThe wall catches a hard shadow. The alley falls dark. Skin, ribbed fabric and metal respond differently to the flash.
  1. 01

    Give the light a source

    Specify what lights the face, what blocks it and where the shadow lands.

  2. 02

    Separate the materials

    Uneven skin highlights, stray hairs, matte cloth and small hardware reflections.

  3. 03

    Place the camera

    An extended arm, an ordinary setting and believable foreground perspective establish how the shot could happen.

Each reference has a job

The complete character sheet stayed in every generation. The selected night selfie supplied the photographic treatment.

Identity & wardrobeFace, ponytail, full silhouette and the black tactical outfit.
Supplementary profileA second view for judging the silhouette. Perspective and pose still change its appearance.

Carry it into three lighting setups

The same identity references, with a new physical lighting situation for each scene.

01 / Night flashA small near-camera light, a crisp wall shadow and a darker passage behind her.
02 / Overcast daylightOpen sky lights the face. The awning removes light from the far cheek and under the chin.
03 / Mixed indoor lightNear-neutral flash on the subject, warm practical light behind her and visible contact with the seat.
Executed prompt excerpts & full prompt download

Reference roles: “INPUT1 complete canonical turnaround is mandatory for identity, outfit and entire body silhouette/proportions; INPUT2 accepted profile supplements body proportions; INPUT3 night selfie supplies the preferred photographic face, skin, hair texture and practical lighting realism.”

Daylight: “Open sky above/front-left provides broad daylight; shop awning blocks light on far cheek and underside of chin, strong believable difference between sky-facing planes and recessed shadows.”

Material behaviour: “Skin microtexture follows facial planes, not uniform grain stamped over face. Eyes aligned with a single consistent gaze, natural catchlights tied to real source.”

Download the three executed prompts · JSON ↓

Review the result, then extend it

The accepted tests led to six more profile images: full figure, side view, expressions, seated contact, mirror logic and a walking turn.

Selection checks

  • Recognisable face, silhouette and outfit
  • Coherent eyes, fingers and small dental details
  • Feet, hands and seated poses make physical contact
  • Light direction agrees with shadows and reflections

What still needs judgment

The diner face remains a little polished; some flyaway hair sits near the frame edge. Prompts were not followed perfectly. These are visual comparisons across changed poses and settings, with no measured identity score.

“Phone-photo” describes the generated appearance. No actual camera capture, custom training or ComfyUI pipeline was used for this sequence.

See the selected Nova series ↗
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