Photograph your campaign-ready garments with the Fedora AI On-model Photography Generator—direct the shoot with clicks, not prompts.

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 repeatable creative decisions tied to the product rather than a text instruction that can drift. With RAWSHOT, you click camera, framing, lighting, and visual style presets, then generate a still that keeps cut, color, pattern, logo, fabric, drape, and proportions aligned to your garment.

That matters because catalog teams publish sets: consistent visuals reduce rework. You also get clear labelling and C2PA-signed provenance plus visible and cryptographic watermarking so the imagery can move through review and compliance with less friction.

Traditional reshoots cost time, scheduling, and studio days for every small change, even when the garment concept stays the same. RAWSHOT is designed so you can generate new imagery quickly while keeping the garment the brief through UI controls.

For commerce operations, that means fewer delays between a product update and a storefront refresh. You also keep the same model setup across SKUs, which reduces inconsistencies that typically force manual retouching or replacement uploads.

Upload or select your garment, then click framing, lens, and product focus to control what the image shows. Next, set lighting, background, mood, and a visual style preset, and finally click Generate for a labelled 2K/4K still with provenance and watermarking.

The practical takeaway is that your team can standardize creative choices the same way every time. You’re not “training” a model with words; you’re directing a fashion shoot with the controls built for apparel representation.

Garment-led control focuses the generation on your actual product details, which reduces common failures like invented logos and garment drift across variants. With RAWSHOT, cut, color, pattern, and logos are represented faithfully, and the UI keeps creative decisions explicit and repeatable.

For PDP work, consistency across SKUs matters as much as novelty. RAWSHOT also supports catalog-scale workflows with a REST API, plus per-image audit trail and clear labelling so approvals are easier to audit.

Every RAWSHOT still includes C2PA-signed provenance signalling and is labelled as AI output. You also get visible and cryptographic watermarking, plus a signed audit trail per image so teams can trace what was generated.

This helps publishing pipelines because review doesn’t start from scratch. The workflow is aligned with EU AI Act Article 50 and California SB 942, keeping provenance and labelling part of the output delivery, not an afterthought.

Start by verifying garment fidelity: cut, fabric appearance, drape, logos, and pattern placement should match the real product. Then check consistency across the set—face and body setup should stay stable when you reuse the same model setup for each SKU.

Finally, validate provenance and watermarking cues on the exported files so compliance review is grounded in the delivered metadata. RAWSHOT’s signed audit trail per image supports that QA step without manual guesswork.

For stills, pricing is flat per image at about ~$0.55, and generation takes roughly ~30–40 seconds, making scheduling predictable. Tokens never expire, and you can cancel in one click from the pricing page.

If a generation fails, tokens are refunded, which helps teams avoid “dead” budgets during iterative approvals. For production planning, that means you can run controlled batch iterations for different PDP variants without losing value when something doesn’t pass QA.

Yes. RAWSHOT provides a REST API for catalog-scale pipelines, while also offering a browser GUI for single shoots. That lets your team keep the same garment-led workflow whether you’re generating a handful of assets or running nightly jobs across thousands of SKUs.

Integration is practical because the creative decisions are represented as structured controls rather than free-form text. You also receive per-image labelling, signed provenance, and audit trail on each output so downstream automation can route approvals appropriately.

Save the model setup once and reuse it across your entire catalog, so the same face and body framing persists between SKUs. That reduces drift between outputs and avoids the “close enough” problem that forces manual replacements.

When combined with UI-controlled lighting, framing, and visual styles, it keeps campaigns and PDPs coherent. The end result is a repeatable pipeline with C2PA-signed provenance and full commercial rights, permanent and worldwide, so your assets can publish without licensing ambiguity.