Direct your campaign pages with the AI Double Page Spread 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 fashion photography into a controlled production workflow: the garment stays the brief while you iterate spreads, angles, and lighting settings per SKU. Catalog teams get consistency without reshooting every variant, and they can keep a stable look across a whole collection.

With RAWSHOT, you click lens, framing, mood, and background choices, then generate at 2K or 4K. Every output includes signed provenance and watermarking cues, so your publishing process has cleaner attribution and fewer last-minute compliance surprises.

Because seasonal updates are a production tax: each retake session costs time, budget, and calendar certainty. When your catalog grows, the cost of reshooting becomes the bottleneck—especially when only a few spread crops or product angles need updating.

RAWSHOT lets you keep the same model face and body, then generate variants for new listings through the GUI or REST API. You can preserve garment fidelity while changing the editorial framing and visual style presets you need for the update cycle.

You direct the shoot with garment-led controls instead of free-text prompting. In RAWSHOT, camera, angle, lighting, and background are buttons and presets, so each iteration stays anchored to the product.

This approach reduces garment drift and invented branding because the workflow focuses on product representation rather than model improvisation. You also get provenance and labelling on every output, which helps teams publish with a clear, auditable record.

DIY image tools often respond to wording in ways that can mutate the product: cut, colour, and printed details can shift from one generation to the next. That drift is exactly what makes catalog-scale workflows expensive, because you end up repeating generations until the garment “looks close enough.”

RAWSHOT keeps garment fidelity as the brief and uses click-driven settings to control your shot. Combined with model reuse across SKUs, you get repeatable results that are easier for commerce teams to QA and schedule.

Each RAWSHOT image includes C2PA-signed provenance and watermarking that supports both visible presentation and cryptographic verification. That means your campaign imagery comes with a traceable record rather than an ambiguous “generated” label.

For teams managing approvals, this matters because provenance and watermarking cues reduce downstream uncertainty. You also get AI labelling aligned with EU AI Act Article 50 and California SB 942 so your publishing workflow stays transparent.

Run product-level checks first: verify cut, colour, pattern, logo placement, and fabric drape match the garment brief. Then check model consistency for the campaign story and confirm the intended crop and aspect ratio for the spread or platform destination.

Finally, confirm the output carries signed provenance and watermarking cues so your compliance team can approve confidently. Because the interface is control-based, your QA becomes repeatable across variants instead of starting from scratch with each generation.

Stills are priced transparently at about ~$0.55 per image, with roughly ~30–40 seconds per generation. Tokens never expire, and failed generations refund tokens, which keeps iteration risk lower than ad-hoc retries elsewhere.

For video or multi-scene workloads the model is different, but for spread-style imagery this per-image pricing helps you plan the batch cost. You can cancel in one click from the pricing page, so procurement has a clearer operational story.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while still offering a browser GUI for single shoots. That lets teams keep the same garment-led direction whether they’re styling a one-off spread or running a nightly 10,000-SKU production loop.

Because the workflow is structured around controls, not free-text, the API output stays consistent and easier to QA. You also retain signed provenance and labelling on every generated still, which simplifies publishing approvals.

No—the interface stays the same as you scale roles across the organization. Designers can click through framing and lighting choices in the GUI, while catalog operators batch through the REST API without switching mental models or rebuilding prompts.

You also avoid cross-generation inconsistency by reusing the same synthetic model for your catalog storyline, so marketing and PDP teams align on the look. That means fewer handoff errors, faster approvals, and a tighter production loop for campaign imagery.