Direct campaign-ready fashion spreads with the AI Fashion Spread Generator—built for clicks, not prompting.

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 get campaign-ready spreads from the actual garment, with controlled art direction and export-ready outputs. Instead of reshooting for every tweak, you generate variations using the same direction controls.

That means consistent framing and lighting across your campaign set, while the garment details stay represented faithfully. You also receive C2PA-signed provenance and watermarked outputs so your team can publish without provenance gaps.

DIY prompting often introduces garment drift, invented logos, and inconsistent faces across outputs—problems that break brand consistency when you’re building spreads at scale. Even when results look good, the path to getting there is usually prompt iteration and rework.

RAWSHOT keeps the brief grounded in your real product through garment-led controls, plus signed audit trail per image and consistent model reuse. You spend time selecting the look, not chasing stability.

In RAWSHOT, you click the framing, pose, angle, lighting, mood, and background, then generate from those explicit controls. The garment remains the brief, so design details don’t get rewritten by an open-ended text instruction.

Start with a campaign gloss or editorial preset, choose the lens and aspect ratio for your layout, then adjust visual style for narrative variation. Each output includes provenance metadata and watermarking cues for safe publishing.

Yes. Save the model once and reuse it across your entire catalog to prevent face and casting drift between SKUs.

For large pipelines, use the REST API for batch generation while your team keeps a consistent art direction baseline. Every image carries signed audit trail and watermarking so production teams can manage approvals reliably.

Each output includes C2PA-signed provenance metadata and AI labelling, plus multi-layer watermarking that is both visible and cryptographic. That creates a traceable story for compliance workflows and internal review.

RAWSHOT’s provenance support aligns with EU AI Act Article 50 requirements and California SB 942, which helps teams avoid publishing uncertainty. You also get a signed audit trail per image for operational accountability.

Use the UI controls to lock the product focus and choose the framing that reveals cut, color, pattern, logo placement, and drape. Generate a small set of directions first, then pick the variant that matches your garment references best.

Because the system is engineered around the real product, you can rely on garment fidelity rather than prompt gymnastics. For QA, your team can also review watermarking and provenance metadata before release.

Stills cost about ~$0.55 per image, with each generation taking roughly 30–40 seconds. Tokens never expire, and if a generation fails, your tokens are refunded.

You also get simple cancellation via a one-click control on the pricing page, which keeps budgeting tight for campaign test cycles. The commercial rights story is included with every output, permanent and worldwide.

You can do both. The browser GUI supports single-shoot work with click-driven creative controls, and the REST API supports catalog-scale pipelines when you’re running many SKUs nightly.

This split lets creative ops iterate quickly, then hand off repeatable settings to production workflows without inventing a new prompt-based process. Outputs still carry provenance, watermarking, and the per-image rights framing your teams need.

Once a direction is approved, save your model and reuse it across your catalog so spreads stay consistent as you swap garments and details. Then scale with the REST API for high-SKU pipelines or continue in the GUI for targeted editorial updates.

Because pricing is flat per image and tokens never expire, forecasting stays straightforward. You also keep confidence with C2PA-signed provenance, visible plus cryptographic watermarking, and full commercial rights for every output.