Direct campaign-ready imagery with the Silk AI On-model Photography Generator—by clicks, not prompts.

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 replaces guesswork with repeatable settings you can steer per SKU—camera choice, framing, lighting, and composition—without prompt roulette. For ecommerce and merchandising, that means your imagery stays consistent across collections and keeps the garment readable for shoppers.

You click to adjust the exact creative variables that affect product clarity, then generate at 2K or 4K. RAWSHOT also attaches provenance and watermarking so publishing teams can treat outputs as production assets, not one-off experiments.

Because “only color changes” still requires the same studio time, samples, and retakes under traditional workflows. RAWSHOT lets you generate new stills by directing the same shot controls around the garment, so updates move faster and stay visually aligned.

Instead of rebuilding direction from scratch, you keep your style preset and composition choices while the garment-led brief drives fidelity. The result is cleaner iteration for product pages, collections, and seasonal marketing without shipping samples cross-continent.

In RAWSHOT, you select the garment-led input and direct the output with controls: lens, framing, pose, angle, lighting, background, mood, and product focus. You can also pick a visual style preset so the imagery matches your catalog look.

Then you generate and download in 2K or 4K with signed provenance and watermarking cues attached. If a generation fails, the system refunds tokens and you can iterate immediately from the same settings.

Those tools often optimize to the wording of a typed prompt, which can lead to garment drift, invented logos, and inconsistent faces between outputs. For fashion PDPs, consistency and fidelity are production requirements, not optional aesthetic features.

RAWSHOT is engineered around the garment as the brief and uses click-driven controls instead of prompt syntax. You also get C2PA-signed provenance, visible plus cryptographic watermarking, and a clear full commercial-rights story for every output.

Every RAWSHOT output includes C2PA-signed provenance and watermarking (visible plus cryptographic) along with AI labelling. That gives teams a clean, publishable record of what the image is and supports compliance workflows.

RAWSHOT also provides full commercial rights to every output, permanent and worldwide, so marketing and merchandising teams can move without “unclear rights” friction. The audit trail per image strengthens traceability for production review.

Start with garment fidelity: verify cut, colour, pattern, logo, fabric presentation, and drape match the real product. Then check model presentation consistency across variants so your catalog doesn’t show unintended changes between SKUs.

Also confirm publishing compliance signals: C2PA provenance, watermarking, and AI labelling are attached to each image. Finally, validate resolution and aspect ratio (2K/4K and the format needed for your storefront) before exporting to campaigns.

Photo generation is priced per image at about ~$0.55 and typically takes ~30–40 seconds per generation. Tokens never expire, which helps teams plan production windows without rushing or re-buying for the same work.

If a generation fails, RAWSHOT refunds the tokens so your iteration budget stays predictable. For video teams the economics differ, but for stills, you can build steady SKU throughput with cancel controls on the pricing page.

Yes. RAWSHOT supports a browser GUI for single shoots and a REST API for catalog-scale pipelines, so you can batch-generate consistent stills across thousands of SKUs.

Operationally, you keep your chosen creative controls and apply them across requests, reducing variation and manual coordination. Each output remains tied to signed provenance and watermarking cues so automation doesn’t remove publishing traceability.

Direct the first set in the browser GUI using your chosen lens, framing, lighting, background, and style preset—then reuse those settings for batch runs via the REST API. This keeps the creative direction stable while you expand from one look to a full catalog.

Production teams can split responsibilities: creatives dial in controls in the GUI, while catalog ops runs the API for throughput. Every generated image ships with provenance signalling and full commercial-rights clarity so approvals move quickly.