Direct your next drop with campaign-ready on-model imagery through the Kente 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 single shoots in the browser and automation via the REST API, so ecommerce teams can standardize creative direction without turning it into a chat workflow. You still iterate with intentional controls, but the interface stays predictable from one SKU to the next.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps pricing rules, token behavior, refund handling, commercial rights framing, provenance signalling, watermarking cues, and REST surfaces explicit. Practically, that means fewer surprises during launch week when new variants land every day.

It lets you generate publish-ready on-model imagery per SKU while keeping creative direction consistent and garment-led. Instead of reshooting for each update, you adjust framing, lighting, mood, and visual style through the application controls, then produce a new set of images quickly. The result is more variation without losing product accuracy.

RAWSHOT is built around the real garment details—cut, color, pattern, logo, and drape—so your catalog doesn’t accumulate “close enough” images over time. Save a model once and reuse it across your catalog to avoid face drift between variants.

Because traditional production creates bottlenecks: studio calendars, samples, and repeated setup work. RAWSHOT shifts that effort into click-driven direction so you can generate the imagery you need when your season updates land. It’s designed to remove the two walls that block access—budget and prompt overhead—while keeping garment fidelity steady.

You also get provenance and watermarking on every output, which helps teams move through approvals faster. For operations, that means fewer manual remediations when imagery needs to be consistent across product pages and channels.

You upload and select garment-led controls, then direct the scene using preset-based settings like lens, framing, pose, camera angle, lighting, background, and a visual style. Each choice is a UI action, so your workflow stays systematic from one SKU to the next. Generate, review, and adjust through the same controls until the composition matches your product needs.

This approach keeps the garment from being reinterpreted by a free-text request. It also supports repeatable outcomes for catalog teams because the settings you use are explicit in the output provenance metadata.

Prompt-driven DIY workflows often trade product control for creativity, which can lead to garment drift, invented branding, and inconsistent faces across outputs. RAWSHOT keeps the garment as the brief and moves direction into controlled UI settings. That reduces the risk of product mutations that break brand accuracy on PDPs.

For catalog workflows, it also helps you keep consistency: save and reuse the same synthetic model configuration across SKUs so your customers see a coherent brand face. Provenance metadata and watermarking support your internal QA and disclosure steps.

RAWSHOT outputs include C2PA-signed provenance metadata and both visible and cryptographic watermarking, so disclosure and attribution are built into the file. Teams also receive full commercial rights to every output, permanent and worldwide. That combination simplifies publishing decisions for marketing, merchandising, and legal review.

In practice, you can build approvals around clear provenance cues rather than scrambling for documentation after generation. The platform also keeps outputs transparently labelled for AI use, so your customer-facing process stays clean.

Start with garment accuracy: verify cut, color, pattern, logo placement, and drape in the output. Then validate consistency: confirm framing matches the product focus and that the model face remains stable across related SKUs when you reuse your saved model. Finally, check provenance details—C2PA-signed metadata plus watermarking—so your disclosure and audit requirements are satisfied.

Because the controls are explicit, you can replicate a successful look by selecting the same lens, lighting, and visual style preset for the next variant. This is how teams keep catalog image sets cohesive without repeated manual cleanup.

For photo stills, pricing is roughly ~$0.55 per image, with about 30–40 seconds per generation. Tokens never expire, and if a generation fails, the tokens are refunded. You can cancel in one click from the pricing page if you stop mid-run.

That predictable token behavior helps production teams plan batch work around launch calendars. For short iteration loops, the refund rule prevents wasted spend on unsuccessful generations.

Yes. RAWSHOT supports catalog-scale automation through the REST API, so you can generate imagery from your product pipeline without relying on manual browser-only work. The browser GUI is available for single-look direction, while the API handles volume across SKUs.

Because outputs include C2PA-signed provenance metadata and watermarking, integration teams can route finished images into the same approval and storage systems with clear audit information. You can standardize the same control set across automation runs for consistent merchandising.

Use the GUI for creative direction and QA—lens, framing, lighting, mood, and visual style—then let the REST API run batches for the rest of the catalog. Designers get control where it matters, and operations get repeatability where it counts. Saving a model for reuse keeps faces consistent so the team doesn’t chase drift between variants.

As a result, one workflow supports both single campaigns and nightly pipelines. Your throughput scales without adding per-seat gates or volume-locked tiers that punish growth.