Direct your next drop’s campaign with the Camisole 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 production model from “one studio day per update” to “generate variants with the same garment-led controls.” You keep cut, colour, pattern, and drape consistent, then iterate fast across styles and aspect ratios for your product grid.

In RAWSHOT, you click through lens, framing, angle, lighting, background, and visual presets, then export in 2K or 4K. When you reuse the saved model, your face and body stay consistent across SKUs, so your catalog looks intentional instead of re-shot.

Because reshoots repeat the same work: booking, sample logistics, styling days, and retakes when small details shift. With RAWSHOT, you keep the garment as the brief and generate new on-model imagery as needed, without new studio schedules.

You also get clear publish-ready outputs with C2PA-signed provenance, visible plus cryptographic watermarking, and AI labelling. That makes approvals smoother for marketing and legal teams handling frequent catalog changes.

In RAWSHOT you start with the garment, then set the shot using dedicated controls: framing, pose, camera angle, lighting style, background, and mood presets. Each adjustment is a direct click, so the workflow stays usable for operators who don’t want to manage prompt syntax.

Because the engine is garment-led, you focus on what your product team needs to see—fit feel, fabric drape, and accurate details—then generate in 2K/4K. Export the results into your PDP and campaign pipeline with provenance attached.

Prompt roulette is unpredictable: small wording shifts can change logos, proportions, or even the garment itself. For PDPs, that turns into extra approvals and reruns because the product view stops matching the item you’re selling.

RAWSHOT keeps the product as the reference while you adjust the shot through UI controls like lens, framing, and visual styles. You can also save and reuse the same synthetic model to avoid inconsistent faces across outputs.

Yes. RAWSHOT provides full commercial rights to every output, permanent and worldwide, paired with AI labelling and watermarking for transparency.

Each image includes C2PA-signed provenance metadata and a signed audit trail, so teams can answer “what is this file?” without detective work. That combination helps brands handle compliance and publication requirements as part of the workflow.

Use garment-first checks: verify cut, colour, pattern, logo accuracy, and fabric drape in the generated frame. Then confirm model consistency for your catalog look by reusing the saved model across SKUs.

Finally, check provenance and labelling cues: C2PA-signed metadata, visible watermarking, and AI labelling are attached to the deliverable. RAWSHOT’s signed audit trail per image supports internal approvals, even when you generate in large batches.

For still photos, the pricing is straightforward: about ~$0.55 per image with ~30–40 seconds per generation. Tokens never expire, and failed generations refund tokens, so iterative work stays predictable for production teams.

Video costs more per second because it uses more tokens per second than stills, so clip length directly affects spend. If you need launch speed for PDPs and grids, start with stills for coverage, then add motion where it sells.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while keeping a browser GUI for single-shoot direction. That means you can run automated nightly generation for new SKUs and updates, not just one-off creative tasks.

Because the engine uses garment-led controls and returns publish-ready outputs, your pipeline can keep timing, rights, provenance, and labelling consistent across thousands of assets. This is designed for teams that need repeatability, not one-time experiments.

The path is the same controls, different scale. You start in the browser GUI to dial in lens, framing, lighting, and style presets for your camisole aesthetic, then reuse the same approach through the REST API for batch runs.

That keeps outputs consistent—especially by reusing the saved model—so your face and body don’t drift SKU to SKU. Combined with clear commercial rights, signed provenance, and refund rules, RAWSHOT supports steady publishing without rerun chaos.