Direct campaign-ready on-model imagery with the Jersey 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.

You stop treating each new jersey variation like a studio scheduling problem. With click-driven controls, your team can generate consistent on-model imagery for product pages and listings while keeping your product look stable across updates.

RAWSHOT is engineered around garment fidelity—cut, color, pattern, logo, fabric, drape, and proportions—so the jersey stays the brief. Add signed provenance and labelled outputs for smoother approvals, and you can scale the same creative setup through the REST API for catalog volumes.

Because you control the creative variables directly instead of hoping a text instruction lands the result you need. You set lens, framing, pose, lighting, background, and the visual style preset in the interface, then generate from a locked configuration.

This reduces garment drift and other DIY failure modes where the product mutates across outputs. You also get clearer commercial-rights positioning and provenance signalling with each image, so teams can publish without rebuilding QA from scratch.

When you reshoot, you pay for time, logistics, and consistency—often every time the season or assortment changes. With RAWSHOT, you reuse the same model and direct a consistent on-model look across SKUs so approvals get faster as your catalog grows.

Saving a model keeps the same face and body across outputs, which helps avoid inconsistent faces and mismatched product presentation. Your team can batch-create stills in 2K or 4K, then ship updates with labelled, watermarked provenance.

You begin with the real garment selection in the RAWSHOT workflow, then direct the shoot through explicit controls. Choose framing (half-body, close-up, flat lay), set camera angle and lighting, and pick a visual style preset that matches your brand.

Everything is a click, not a written instruction, so your team can replicate the same setup for every jersey drop. The result is stills your merchandising team can review quickly, backed by C2PA-signed provenance and watermarking cues.

DIY prompting often leads to garment drift, invented logos, and inconsistent faces across outputs. Even when the result looks close, the jersey can shift in ways that break merchandising consistency and complicate approvals.

RAWSHOT avoids that by locking creative decisions into the interface and generating around the garment. Outputs also include signed provenance and labelled synthetic media, making rights and attribution clearer for commercial publishing workflows.

Each RAWSHOT still includes C2PA-signed provenance metadata and AI-labelled output. You also get multi-layer watermarking—both visible and cryptographic—so transparency is preserved in internal review and downstream distribution.

This helps commerce teams build a predictable review pipeline: you can check the signature, confirm the jersey-led product fidelity, and publish with clearer documentation. It supports compliance expectations tied to EU AI Act Article 50 and California SB 942 for labelled synthetic media.

For stills, pricing is straightforward per image: about ~$0.55 per image, with ~30–40 seconds per generation. Tokens never expire, and failed generations refund tokens, so budgeting stays predictable.

For higher-throughput catalog work, plan your nightly batches and use the REST API so the same creative controls generate reliably at scale. If you need to stop a run, the cancel control is available on the pricing page.

Yes. RAWSHOT includes a REST API designed for catalog-scale pipelines while the browser GUI supports single-shoot work. This lets teams standardize creative direction for jersey photography and automate batch generation for SKUs.

Because the creative variables are represented as explicit controls, you can keep consistency between the GUI you use for look development and the API you use for nightly production. That reduces the mismatch that often appears when DIY pipelines rely on free-form text variations.

Start with one controlled GUI shoot to lock your lens, framing, lighting, background, and visual style preset. Then save your model and reuse it across your catalog so faces and bodies stay consistent between SKUs.

From there, move to REST API batch runs for scale—same jersey-led fidelity, same output quality, and the same provenance and watermarking. Your ops team can maintain approvals faster because each output is generated from a consistent, auditable control set.