Direct campaign-ready fashion imagery with the Jersey Fabric AI On-model Photography 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 changes the bottleneck: you go from reshooting and shipping constraints to click-driven on-model imagery that stays product-led. For jersey catalogs, you can generate consistent visuals for listing pages while keeping iteration cycles tight for new colorways, sizes, and seasonal updates.

With RAWSHOT, your workflow is built around the garment—cut, colour, pattern, fabric, and drape are represented faithfully. Each generation includes C2PA-signed provenance and watermarks, so the catalog team can publish with traceable assets instead of managing unclear outputs.

Because production overhead compounds quickly when every update needs new studio days. When you reshoot, you repeat lighting setups, styling, and logistics—then you still face inconsistencies that make catalog comparisons messy.

RAWSHOT keeps the same controls and predictable output behavior so your jersey images remain consistent across your pipeline. You can save a model for stable face/body reuse across SKUs, then scale via REST API when the catalog demands throughput.

You select the shoot intent with controls: lens, framing, background, lighting, pose, and a visual style preset. RAWSHOT uses those settings to generate on-model results while anchoring the render to your actual garment details.

Instead of wrestling with prompt wording, you iterate by adjusting camera angle, aspect ratio, and product focus. The output includes provenance and labelling, plus a signed audit trail per image for your pre-publish QA.

Because prompt-based variation often reshapes the garment to match the wording, causing drift between outputs that undermines trust in your listings. For jersey PDPs, even small changes in cut or drape can look like a different product.

RAWSHOT is engineered around the garment, so presentation changes come from the UI controls rather than from free text interpretation. You also get SKU consistency by reusing your saved model, which reduces the face and look changes that break catalog uniformity.

Yes. RAWSHOT outputs are C2PA-signed and include AI labelling with visible and cryptographic watermarking signals, plus a signed audit trail per image. That gives commerce teams clarity at publish time instead of guessing what an asset represents.

On the rights side, you receive full commercial rights to every output, permanent and worldwide. That means jersey assets you generate for campaigns or PDPs remain usable without re-negotiating usage conditions.

Run a simple QA pass on the exact garment elements you sell: cut, colour, pattern, logo, fabric look, and drape. Verify the on-model framing matches the listing intent—close-up for texture, half-body for styling, full-body for silhouette accuracy.

Then confirm compliance metadata is present by relying on RAWSHOT’s C2PA-signed provenance and watermark cues. For catalog consistency, ensure the saved model is reused across SKUs so your jersey face and body presentation stays uniform across releases.

For stills, pricing is per image and generation is typically around 30–40 seconds per output. Tokens never expire, and if a generation fails, the tokens are refunded so your budget stays controllable.

For teams producing many variants, this predictable economics makes planning easier than retry-based workflows. Use the browser GUI for single test shots, then move to REST API for batch production when the jersey colorways and sizes stack up.

Yes. RAWSHOT provides a REST API designed for catalog-scale pipelines while keeping the same garment-led controls you use in the browser GUI. That means your jersey image workflow can be batch-driven with consistent settings and export-ready results.

Because each output includes signed provenance and labelling signals, your publishing pipeline can treat generated assets like any other traceable media. For ecommerce teams, that reduces manual review overhead and keeps versioning aligned with SKU updates.

You scale by separating responsibilities without changing the controls. Designers can choose visual direction with presets and controls, merchandisers can standardize framing and aspect ratios for PDPs, and ops can run batch jobs via REST API for catalog throughput.

RAWSHOT supports one interface across GUI and REST so your team doesn’t learn different creative systems. Add the signed audit trail per image and permanent commercial rights, and you get a workflow that stays operationally consistent from the first jersey test render to the nightly catalog run.