Direct campaign-ready on-model photos with the Tie AI On-model Photography Generator.

Never. You direct every output with sliders, presets, and clicks on the garment, not typed prompts. That UI control stays consistent whether you’re making a single still or running catalog-scale jobs via the REST API. For ecommerce teams, this matters because creative decisions become repeatable settings, not instructions that vary by wording or iteration.

RAWSHOT also keeps the commercial story and provenance signals inside the output: C2PA-signed metadata, watermarking cues, and clear labelling. You get a workflow your ops team can rehearse for PDP launches without inventing new prompt grammar each time.

It turns repeatable art direction into an operations workflow. Instead of reshooting for every SKU, you generate consistent on-model imagery by selecting camera, framing, lighting, and a visual style preset in the RAWSHOT interface.

The practical win is control with consistency: save your model direction and reuse it across your catalog so the face and body framing don’t drift between variants. Each output is delivered with signed audit trail per image and the provenance cues your team needs for approvals.

Because production schedules block iteration. When you need new colorways, sizes, or seasonal edits, traditional shoots require samples, shipping, availability, and studio time before you can even start. RAWSHOT removes that bottleneck by letting you generate stills directly from your garment-led setup.

You still keep creative control: choose lens, framing, pose, background, and lighting through the UI, then generate in ~30–40 seconds per image. The outputs come with C2PA-signed provenance and full commercial rights framing so your team can publish confidently.

In RAWSHOT, every step is a click on settings that map to real photography decisions. Pick your lens and framing, choose the mood and lighting system, and set aspect ratio and resolution to match the destinations where your product will be published.

Because the engine is garment-led, the product remains the brief—cut, colour, pattern, logo, fabric, and drape are represented faithfully. You also get labelled synthetic models and an audit trail per image, which makes QA and approvals simpler for catalog teams.

Prompt roulette introduces uncontrolled variation. Generic image models can shift details like logos, fabrics, and proportions from one run to the next, so you spend time rejecting outputs that don’t match your product.

RAWSHOT keeps your creative intent inside the interface, where settings are stable: click camera choices, lock the style preset, and generate again with consistent model direction. On top of that, the delivered files include provenance metadata, watermarking cues, and clear commercial rights framing—so your publishing workflow doesn’t stall on cleanup.

Each still is delivered with C2PA-signed provenance metadata plus visible and cryptographic watermarking cues, along with AI labelling. That gives your team an auditable record of the output and the operational context around it.

On licensing, you get full commercial rights to every output, permanent and worldwide. For brand governance, this reduces ambiguity when teams approve imagery for ecommerce, ads, and marketplace placements.

Use your standard visual checks, but rely on RAWSHOT’s built-in signals to speed approvals. Confirm garment fidelity—cut, colour, pattern, logo, fabric, and drape—then verify the framing and aspect ratio match the placements you need.

Also check provenance and labelling cues on the delivered file: C2PA-signed metadata, watermarking cues, and the per-image signed audit trail. That makes it easier to review images consistently across your catalog pipeline and keep your team aligned.

For still photos, pricing is straightforward: about ~$0.55 per image with ~30–40 seconds per generation, and tokens never expire. Video costs more because it uses more tokens per second than stills, so longer clips increase token usage.

Operationally, failed generations refund tokens and you can cancel in one click on the pricing page. That means your team can iterate safely on creative direction without turning experimentation into budget risk.

Yes. RAWSHOT supports both a browser GUI for single shoots and a REST API for catalog-scale pipelines, which fits the way commerce teams already operate. You can keep your creative controls consistent while automating generation for multiple SKUs and variants.

Because outputs include provenance and labelling cues, your workflow can also carry compliance information alongside the imagery through approvals and publishing. That keeps your integration practical, not just experimental.

Designers can direct the look in the browser GUI with click-driven controls, while ops and catalog managers run repeatable batches through the REST API. The same garment-led engine and controls philosophy apply across both surfaces, so teams don’t relearn creative workflows.

To close the loop, review and publish with signed provenance and per-image audit trail cues, then reuse the same model direction across SKUs. This structure supports throughput without sacrificing consistency, which is what catalog-scale teams need.