Direct editorial-ready key visuals with the AI Key Visual Generator—directed by 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.

It turns key visual creation into a guided production workflow instead of prompt trial-and-error. You select lens, framing, lighting, and a visual style preset, then generate editorial-ready imagery that stays anchored to the garment details.

For teams, that means faster iteration on variants and less drift in look between exports. You also get labelled, traceable outputs with C2PA-signed provenance and watermarking signals to support responsible publishing.

Because SKU freshness doesn’t require a studio day to stay consistent. With RAWSHOT, you reuse the same model settings across your catalog so faces and bodies don’t shift between generations, while the garment guidance keeps the product reading correctly.

Instead of repeating setup logistics, you adjust controls and generate new key visuals in roughly 30–40 seconds per image. Each output includes an audit trail, so your creative ops can keep governance tight during fast release cycles.

You don’t write text—your garment direction lives in the product and the controls. Pick the framing type, set the lighting and background for your merchandising look, and apply a matching visual style preset for the campaign mood.

RAWSHOT is engineered around the real garment, so cut, colour, pattern, logo, and fabric drape are represented faithfully. When you move from a single shoot to batches, the REST API keeps the same operational logic for repeatable results.

Because prompt roulette invites garment drift, invented logos, and inconsistent faces across outputs. RAWSHOT focuses on garment fidelity and UI-directed settings, so the product stays stable while you explore creative variants for the same SKU.

You can save and reuse the model to prevent drift between shoots, then generate at 2K or 4K resolution for clear storefront presentation. Every output ships with provenance and labelling so teams can publish with confidence.

Every RAWSHOT output is designed for traceable, labelled commerce use, with C2PA-signed provenance and multi-layer watermarking signals. That gives your team a clean story about what the image is and how it was produced.

On licensing, you receive full commercial rights to every output, permanent and worldwide. For operations, failed generations refund tokens, and tokens never expire, so budgeting stays predictable during campaign production.

Start with garment fidelity and composition: confirm cut, colour, pattern, logo, and drape match your product spec. Next, verify the visual style preset aligns with your campaign identity and check that framing suits your placements.

Then review provenance and labelling signals included with the output. RAWSHOT also keeps model consistency options available so you can prevent face/body shifts that would undermine catalog continuity.

Still images run at about 30–40 seconds per generation, and pricing is roughly ~$0.55 per image. Tokens never expire, and failed generations refund tokens, so you can keep iterating during a sprint without losing budget control.

When you need to cancel, the cancel button is on the pricing page. For teams, that means you can run structured tests, then stop cleanly once the key visuals are approved.

Yes. RAWSHOT provides a REST API for catalog-scale pipelines while the browser GUI supports single shoots and quick approvals. That lets creative ops use the same production logic whether you’re generating a handful of key visuals or thousands of SKUs nightly.

Because outputs are labelled with provenance and include audit signals, your downstream systems can keep governance intact. You also retain consistent model settings to reduce drift across SKUs.

The difference is throughput, not quality or rights framing. In both modes, you direct the shoot through the same click-driven controls, and outputs include C2PA-signed provenance and labelling signals for accountable publishing.

For 10,000-SKU runs, the REST API helps you keep a predictable production schedule while reusing the same saved model to maintain consistency. The practical result is fewer surprises on launch day—your campaign and catalog stay aligned.