Direct your next drop’s campaign with the AI Lookbook Video 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 turns garment-led assets into reusable motion content that’s fast to iterate and consistent across variants. Instead of re-booking studio days for every season update, you build repeatable scenes that keep product details aligned for marketing and PDP use.

In RAWSHOT, you select camera, framing, lighting, and style from visual presets, then generate reels with signed provenance and labeled outputs. Teams can approve sequences without worrying about invented logos, drifting garment details, or unclear licensing signals.

Because SKU refreshes are where traditional shoots slow teams down and where costs stack up. When the product line changes—colorways, sizes, or logos—new reels should stay on-brand without becoming a new production.

RAWSHOT keeps the garment as the brief and lets you reuse the same model across SKUs for catalog consistency. You also get C2PA-signed provenance and watermarking signals, so your compliance review has a stable, auditable story each time you publish.

You don’t convert text into images—you build a scene around the actual product using controls. Select the category framing, choose lighting and background presets, and set camera motion and model action for the reel.

Because the interface is click-driven, each change is operational, not linguistic. That helps you maintain garment fidelity and repeat the same lookbook style across batches while exporting with audit trail integrity.

Garment-led control reduces product mutations between outputs, which is exactly what prompt-based workflows struggle with. DIY rerolls often change fit cues, shift colors, or move logos—then you spend time chasing consistency instead of launching.

RAWSHOT’s scene builder ties creative choices to product representation, and you can lock model identity for SKU-level consistency. Outputs include provenance and commercial rights framing so your publishing pipeline stays predictable.

Every output is delivered with provenance metadata and watermarking signals, and it is AI-labelled as part of the export. RAWSHOT also provides a clear commercial-rights story: full commercial rights to every output, permanent and worldwide.

This is designed to fit marketing approvals and compliance workflows, not to stay hidden behind plan names. Your exports include signed audit trail signals that help internal review teams validate what they’re publishing.

Run a simple QA pass: verify garment cut, color, pattern, and logo placement against your source product expectations before publishing. Because RAWSHOT is garment-faithful by design, the controls are built to represent those details rather than reinterpret them from free-form text.

You can also keep identity consistent by reusing the saved model across SKUs, then spot-check the motion framing and lighting style. With C2PA-signed provenance and watermarked outputs, your review process has both visual and metadata signals.

Video is priced by time because generating motion uses more tokens per second than stills. You pay about ~$0.22 per second for video, and typical reel generation lands around ~50–60 seconds per output depending on duration.

Tokens never expire, failed generations refund tokens, and you can cancel in one click from the pricing page. For teams producing many variants, that predictability supports steady nightly production schedules.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while also providing a browser GUI for single-shoot work. That means the same garment-led workflow can power production batches, not just one-off tests.

You can wire reel generation into existing merchandising and publishing systems, then keep provenance and watermarking consistent across outputs. This reduces the operational friction that DIY approaches introduce when outputs drift between runs.

Throughput comes from repeatability: save your model and style decisions, then generate scenes with the same controls across many products. RAWSHOT keeps the identity stable and the garment representation faithful so each SKU looks like it belongs in the same campaign.

In practice, you use the GUI for creative direction and the REST API for batch execution, keeping a consistent export path with signed audit trail and clear commercial rights. That lets teams scale output while preserving review quality and provenance confidence.