Direct your next drop’s campaign with the AI Two Point Lighting Generator.

Never—you direct every output with sliders, presets, and clicks on the garment, not typed prompts. That UI control is consistent across GUI and REST API payloads, which is why ecommerce teams onboard buyers without rewriting creative briefs as chat threads.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps tokens, timings, refund rules, commercial rights framing, provenance signalling, watermarking cues, REST surface, and SKU-scale batch patterns explicit so operations can rehearse PDP launches without hallucinated garment inventions.

It changes the workflow from “reshoot every season” to “generate variants on demand” while keeping the product faithful. Teams click through lighting mood, framing, and visual styles to create consistent imagery for each SKU.

Because the garment is the brief, outputs are built around cut, colour, pattern, logo, fabric, and drape. You can save the synthetic model and reuse it across your catalog to avoid face and body drift between updates.

Because speed and consistency beat last-minute studio availability. When you keep the same garment-led setup and model reuse, you don’t get surprises during approvals.

RAWSHOT produces 2K or 4K stills with publish-ready controls for lens, angle, framing, pose, background, and lighting preset mood. Failed generations refund tokens, so iteration stays operationally safe.

You upload or select the garment, then direct the shoot using the app controls: lens, framing, camera angle, pose, lighting, background, mood, and visual style presets. The interface is designed for fashion teams, so every setting is mapped to a real photographic outcome.

For lighting work, choose the studio softbox or editorial hard-light style and set the mood for clean campaign clarity. Generate stills, then use the signed audit trail and provenance metadata during internal QC before publishing.

Because prompt-based tools often produce garment drift and inconsistent presentation, which breaks product trust. When the model “interprets” a request, logos and details can change, and the subject can look different across outputs.

RAWSHOT keeps the product as the brief: cut and drape stay faithful across variants, and model reuse supports catalog consistency. You also get clear provenance labelling and watermarking cues built into every export.

RAWSHOT outputs include C2PA-signed provenance, visible plus cryptographic watermarking, and AI-labelled signalling. That makes it easier for teams to meet internal compliance review and external transparency expectations.

On the rights side, every output comes with full commercial rights, permanent and worldwide. The platform’s signed audit trail per image supports QA and approval workflows without leaving licensing questions to interpretation.

Start with garment fidelity: confirm cut, colour, pattern, logo, fabric, and drape match the real product you sell. Then validate model consistency for the campaign or catalog set.

Next, check provenance and watermarking signals on the export, including C2PA-signed records and the audit trail. Finally, review the composition controls you clicked—lens, framing, lighting mood, and aspect ratio—so each channel variation reads correctly.

For photos, pricing is about ~$0.55 per image, with roughly 30–40 seconds per generation. Tokens never expire, and failed generations refund tokens.

That means you can iterate through lighting moods and visual styles without guessing how long the process will take or paying again when outputs fail. The cancel button is on the pricing page, keeping spend control straightforward.

Yes. RAWSHOT supports browser GUI for single shoots and a REST API for catalog-scale pipelines, so you can batch generate stills under consistent controls. This is built for ecommerce operations that need repeatability, not one-off art direction.

You can keep lighting mood and composition settings aligned per SKU while maintaining stable model reuse. The signed audit trail and provenance metadata also travel with outputs, supporting approvals inside your pipeline.

Creative directors and merch leads benefit from the browser GUI for quick creative decisions, because they can click lens, framing, lighting mood, and visual style presets. Ops and engineering benefit from the REST API for nightly generation and catalog throughput.

In practice, you can save a model once, reuse it across SKUs, and keep output quality consistent as you scale. This keeps the journey from “one shoot” to “ten thousand” on the same garment-led controls and the same commercial-rights framing.