Direct your next drop with campaign-ready clicks — with the Umbrella AI On-model Photography 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.

You stop reshooting to keep your product presentation consistent across updates and variants. RAWSHOT generates on-model imagery from the garment you select, while letting you repeat the same camera, framing, lighting, and visual style choices across SKUs.

Because the interface is click-driven and not a prompt roulette, each iteration stays focused on the product. You also get C2PA-signed provenance metadata plus visible and cryptographic watermarking so publishing teams have a clean compliance trail per image.

Studio reshoots cost time, samples, travel, and schedule coordination—then you still face inconsistencies between days. With RAWSHOT, you keep garment fidelity as the priority and direct the scene using repeatable controls in the same application.

That means fewer surprises in QA, because the garment-led approach prevents product mutation between outputs. For teams, the practical win is faster turnarounds with a consistent model setup you can reuse across the whole catalog.

You select the garment in RAWSHOT, then build the on-model look through UI controls: lens, framing, pose, angle, lighting, background, and a visual style preset. The software applies your choices and generates imagery that stays aligned with the selected product’s cut, color, pattern, logo, fabric character, and drape.

Instead of writing instructions, you adjust the scene like a real production tool. Once you like the composition, you can save and reuse settings to keep your PDPs consistent while you scale variant coverage.

The difference is garment-led control and reproducibility. Generic tools rely on prompt phrasing, which often causes garment drift, invented branding, and inconsistent faces across outputs—making catalog continuity hard.

RAWSHOT uses a click-driven interface engineered around the real garment, with transparent synthetic models and C2PA-signed provenance. You also get a consistent, publish-ready commercial-rights story for every output.

Every RAWSHOT output includes provenance metadata and clear labelling signals. The images are C2PA-signed and carry both visible and cryptographic watermarking so compliance teams can support internal and partner review.

This is designed for commerce operations where evidence matters per asset. It also supports governance needs aligned with EU AI Act Article 50 and California SB 942, without turning disclosure into extra manual work.

Run product fidelity and presentation checks: verify the garment’s cut, color, pattern, logo placement, and fabric/drape behavior match your expectations. Confirm your framing choices align with your PDP layout and ensure the background and visual style match your brand direction.

Also check provenance and watermarking are present on the final output, since each image carries a signed audit trail. With these steps, you can keep marketing and catalog releases consistent across updates.

For photos, pricing is per image and generation typically takes about 30–40 seconds. Tokens never expire, failed generations refund tokens, and you can cancel in one click on the pricing page.

For video, token usage scales with clip length because motion requires more tokens per second. If you’re planning campaign bursts, budget photos for SKU coverage and reserve video for the few sequences that need motion and scene direction.

Yes. RAWSHOT provides a REST API for catalog-scale pipelines, while keeping the same click-driven creative controls conceptually aligned with the GUI workflow.

That means your team can batch generation nightly, apply consistent visual direction, and feed results into the rest of your production system. For operators, it reduces copy/paste overhead and keeps output rules stable across large SKU counts.

Use the same saved synthetic model settings and repeat your chosen direction: camera, framing, lighting, mood, and visual style presets. RAWSHOT is designed so you can keep model consistency across SKUs and avoid drift between shoots.

For throughput, you combine the REST API for nightly batch runs with GUI-based refinement for the initial “look” you want. The result is predictable, publish-ready imagery that stays aligned with your product and your brand standards.