Direct your next drop’s campaign with the AI Spring Campaign 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 “creative direction” into an operational control system for apparel imagery. Instead of rebooking a studio for every season update, your team selects consistent camera and style controls, then generates outputs tied to the real garment cut and details.

With RAWSHOT, you can reuse the same saved synthetic model across SKUs to avoid drift, export 2K/4K in any aspect ratio, and keep an approval trail through C2PA-signed provenance and per-image audit logging.

Because spring updates are usually not the kind of “one-and-done” campaign work studios excel at: you need many variants, fast, and with consistent product depiction. RAWSHOT is designed around the garment as the brief, so cut, color, pattern, logo, fabric, and drape stay faithful as you iterate.

You direct the shoot with preset styles and click controls, then generate labeled outputs suitable for web and campaign publishing—without logistics for samples, studio days, or cross-border shipping.

In RAWSHOT, you don’t prompt; you direct. Choose lens and framing, set lighting and background, select pose and mood, then apply a visual style preset that matches the spring campaign look your brand needs.

This click-driven approach keeps your garment representation consistent across compositions and lets teams standardize production for batches—GUI for single shoots, REST API for high-volume catalog pipelines.

Prompt roulette breaks when the model “interprets” your intent instead of following product constraints. DIY prompting commonly leads to garment drift, invented logos, and inconsistent faces between outputs—problems that show up immediately on PDPs.

RAWSHOT keeps creative decisions in concrete controls and generates with consistent synthetic model reuse, plus C2PA-signed provenance and watermarking so your catalog approvals stay clean and auditable.

Yes. RAWSHOT outputs include C2PA-signed provenance metadata, watermarks, and AI labelling, so teams can maintain transparency in campaign production workflows.

Commercial rights are provided for every output, permanent and worldwide, which helps marketing and legal teams align quickly while you prepare spring launch assets across channels.

Start with garment fidelity: verify cut, color, pattern, logo, and drape match your product. Then confirm model consistency across variants by saving and reusing the same synthetic model for each SKU batch.

Finally, check provenance and labels before export—RAWSHOT includes a signed audit trail per image plus watermarking cues—so approvals don’t rely on “trust us” artifacts.

Stills are priced flat per image, with generation times around 30–40 seconds per output for the campaign workflow. Tokens never expire, and you can cancel with a single action on the pricing page.

If a generation fails, tokens are refunded, which keeps your spring production predictable even when teams iterate on many placements or compositions.

Yes. RAWSHOT supports both a browser GUI for single-shoot direction and a REST API for catalog-scale batch generation. That means your team can wire generation into production workflows instead of doing manual, one-off exports.

Because the controls are consistent across GUI and API, you reduce variation across SKUs and keep provenance signalling attached to every created image.

Designers can direct the campaign look with click controls and style presets, while catalog managers scale output using the REST API for nightly runs. The saved-model workflow helps teams stay consistent across SKUs, so the brand face and composition don’t drift between updates.

With C2PA-signed provenance, watermarking, and per-image audit trail metadata, approvals can be handled systematically—fast enough for launches, careful enough for auditability.