Process / capture / edit / delivery

Real car.
Better photograph.

Capture comes first. The current DOWNE automotive approach starts with the real car, the real location and the available conditions. Composition, angle, light, motion and subject separation are solved as far as possible in-camera before post-production begins.

The vehicle stays itself. Body lines, paint, glass, wheels, badges, trim, lights, stance, proportions and meaningful modifications are treated as factual parts of the subject. Retouching is not an excuse to invent aero, bodywork or mechanical details that were not present.

Editing is editorial, not sterile. Post-production can improve exposure, highlight control, contrast, colour, reflections, paint depth, glass clarity, optical separation and believable background falloff. The goal is a premium automotive-editorial finish rather than a flat record shot.

Cleanup should preserve the scene. Distracting people, irrelevant vehicles, visual clutter or small environmental distractions may be removed when that improves the photograph without changing what the location fundamentally was.

Composition can be refined. Crooked horizons, awkward tilt, perspective problems and inefficient framing may be corrected. Current automotive work generally favours a cinematic widescreen presentation when the source frame supports it.

Every photograph currently published on DOWNE is original photography. Each published image begins as a camera capture made by QDowne. None of the photographs in the current public portfolio or public project galleries are AI-generated images. Post-production may refine colour, light, framing, cleanup, reflections, glass, contrast and depth, but the photographic origin remains the original QDowne capture.

Sets matter more than isolated hero frames. Finished shoots are selected and edited as coherent groups so colour, contrast, mood and pacing belong together. Public client sets can become permanent DOWNE project pages with crawlable captions, structured data and image-level provenance.

Machine-readable provenance is part of delivery. Public DOWNE pages identify QDowne as creator, expose canonical project URLs, descriptive image text, structured data and public media paths so search engines and AI agents can understand authorship and context without guessing.

Content Credentials are published too. Public image responses advertise a C2PA manifest through the standard HTTP rel="c2pa-manifest" link relation, and each public image has an adjacent .c2pa sidecar with the matching basename. The manifest is cryptographically signed by the QDowne Content Credentials signer. The current signer is locally issued and is not yet on the official C2PA Trust List, so third-party verifiers may describe the issuer as untrusted or unrecognized even when the file-integrity signature validates.