Direct your watch line with the AI Watch Catalog Generator—click-driven, garment-faithful catalog photos.

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 for every reference change and you gain repeatable creative direction per variant. RAWSHOT is engineered around the real product, so cut, color direction, and visual presence stay aligned while you scale updates.

Practically, you click camera, framing, lighting, background, and a visual preset, then generate. Your team gets C2PA-signed provenance metadata and watermarked outputs, plus a signed audit trail per image for faster approvals across the catalog workflow.

Studio workflows lock you into physical scheduling, shipping, and retakes when the details change. That turns catalog updates into a production project instead of a routine release.

With RAWSHOT, you direct the shoot in the browser GUI, then reuse the same approach at catalog scale through REST API. The output stays watch-ready at 2K or 4K and you can cancel quickly while tokens never expire, with failed generations refunding their tokens.

You don’t translate a written brief into a typed instruction. You select controls—framing, pose, angle, lighting, and background—then generate consistent imagery from the garment-led setup.

This is where click-driven direction matters: your settings become the reproducible “brief” for every SKU. You also get labelled AI provenance with visible and cryptographic watermarking and full commercial rights, so the outputs fit PDP and ad usage without extra ambiguity.

Prompt roulette is unpredictable: the product can drift, branding can be invented, and faces can change between outputs. That creates expensive cleanup work and catalog inconsistency.

RAWSHOT avoids that by making creative decisions explicit as UI controls and keeping model identity consistent across SKUs. You receive C2PA-signed provenance, a signed audit trail per image, and reliable commercial rights framing for publication decisions.

Every RAWSHOT output includes full commercial rights, permanent and worldwide. That means your storefront, marketplace listings, and advertising assets can be published without a confusing “what exactly is licensed?” gap.

On top of rights, each image carries provenance signalling through C2PA-signed metadata and multi-layer watermarking. Teams can approve with confidence because the audit trail per image supports internal review and operational documentation.

Look for C2PA-signed provenance metadata and the watermark layers that accompany each output. RAWSHOT’s outputs are clearly labelled and carry a signed audit trail per image so reviewers can validate what was produced.

Before publishing, your workflow can standardize checks for garment fidelity, model consistency across SKUs, and labelled provenance cues. That keeps approvals aligned with compliance expectations for ecommerce and catalog teams.

For stills, pricing is per image: about ~$0.55 per image with ~30–40 seconds per generation. Tokens never expire, and failed generations refund their tokens to keep the budget predictable.

For motion, video is priced per second and longer clips cost more because video uses more tokens per second than stills. For most catalog refreshes, stills give you the fastest loop between variant creation, QA, and publishing.

Yes—use the REST API for catalog-scale pipelines while keeping the same engine concepts as the browser GUI. Your batch jobs can generate consistent stills for many references without rebuilding the workflow around prompt text.

Because controls are explicit, the generation is reproducible across runs. Tokens, refund rules, and provenance output handling stay predictable, and you retain full commercial rights on every generated image for publication.

Use the browser GUI when you’re directing a new line look and validating style direction, then switch to REST API for bulk catalog generation. This separates creative iteration from production throughput without changing your core workflow logic.

That separation helps roles collaborate: buyers and merchandisers can direct with clicks, while operators run nightly batches. You also keep consistent outputs for model identity and style so approvals scale cleanly across catalogs and platforms.