Direct your next catalog drop with the AI Ghost Product Photography Generator, garment-led and click-driven.

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.

RAWSHOT gives you repeatable, garment-led on-model imagery for many SKUs using the same control set each time. You click camera, framing, pose, lighting, background, and visual style so the look stays consistent across catalog pages.

Instead of juggling multiple tools and reworking text instructions per variant, you reuse a saved model for catalog consistency and generate at 2K or 4K. Every output ships with C2PA-signed provenance and watermarking so teams can publish with an audit trail and clear labeling.

Because reshoots multiply cost, scheduling friction, and product handling risks—especially when you need updates faster than studio calendars. RAWSHOT shifts the work to controlled generation, so new SKUs can be photographed before they leave the workshop.

You keep garment fidelity as the brief while adjusting presentation with click-based controls. The result is fewer retakes and fewer “close enough” visuals, plus a cleaner rights and provenance story for approval workflows.

In RAWSHOT, you select settings that define the on-model composition: lens, framing, pose, camera angle, lighting system, and background. You also choose a visual style preset and aspect ratio for the destination layout.

Because the garment is the brief, cut, colour, pattern, logo, and drape are represented faithfully rather than warped to match a text idea. You generate stills in-browser for single looks, or through the REST API for catalog batches.

Prompt-based workflows often return inconsistent garment details and varying model faces across outputs, which is costly when you need product pages to match. RAWSHOT keeps the creative decisions inside a consistent application UI, so changes stay bounded to the settings you choose.

That means your garments don’t “drift” due to wording tweaks, and your catalog can maintain SKU-level visual consistency with saved models. Outputs also include labeled provenance and a signed audit trail to support merchandising approvals.

Yes. Every RAWSHOT output includes full commercial rights that are permanent and worldwide, and the image carries C2PA-signed provenance metadata along with visible and cryptographic watermarking plus AI-labeling.

This gives marketing and legal teams a straightforward rights narrative and an integrity record for each asset. Instead of relying on unverifiable export paths, you get a traceable, publish-ready image for ecommerce and campaign use.

Start by verifying garment fidelity—cut, colour, pattern, and logo—and then confirm framing and product focus match your PDP template. Next, confirm the visual style preset and lighting direction align with your brand guidelines across the campaign.

Finally, check provenance and watermarking signals: C2PA-signed records, visible + cryptographic watermarking, and AI labeling. With those checks, teams can approve assets confidently without inventing a manual attribution workflow.

For photos, pricing is per image at around ~$0.55, with generation typically taking ~30–40 seconds per output. Tokens never expire, and failed generations refund their tokens so you can iterate without guessing cost.

When you need to scale, the same workflow applies across UI and REST API calls. The cancel control is one click on the pricing page, which helps operators manage workloads during live catalog releases.

Yes. RAWSHOT supports catalog-scale workflows with a REST API alongside the browser GUI. You can run batch generation for large SKU sets while keeping the same garment-led controls you use for single-shoot decisions.

That setup fits ecommerce and merchandising pipelines because you can treat generation as a repeatable step in your asset system. Outputs include provenance metadata and labeling, supporting downstream approval and archiving.

The workflow stays the same, but throughput becomes the focus. You move from browser-based creation for individual looks to REST API batch generation for catalog-scale pipelines, while keeping consistent model identity and controlled settings.

Operationally, you reuse saved models to avoid drift across SKUs and generate at 2K or 4K for your storefront needs. With signed audit trails, watermarking, and full commercial rights, teams can scale production while keeping approval and compliance predictable.