Direct your next tunic shoot with the Tunic AI On-model Photography Generator—click, adjust, generate.

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 means your tunic stays the brief while you adjust camera, pose, framing, and lighting through the interface. Instead of chasing a model interpretation, you steer composition the way a fashion team would: lens choice, background, mood, and visual style.

For SKU-scale work, this matters because teams need visual continuity across variants. RAWSHOT supports 2K/4K and every aspect ratio, plus model reuse so you don’t fight drift between shoots.

Generic models often reinterpret garments and invent details that weren’t in your product. With prompt-based workflows, results can drift between runs, which forces rework and delays approvals.

RAWSHOT is built around the garment fidelity you care about—cut, colour, pattern, logo, and drape—and it pairs that with labelled synthetic models, signed provenance, and predictable per-image generation for commerce teams.

Click your way through the shoot setup: pick framing (full, half, close-up, detail), choose lighting and background, then select a visual style preset. The interface keeps the garment as the brief, so your tunic presentation stays coherent.

If you’re producing catalog assets, you can standardize aspect ratio and resolution for web and print. When you need repeats, save your model and reuse it across SKUs to preserve look consistency.

Yes—save the synthetic model once, then reuse it across your entire catalog. That keeps face and body presentation consistent from SKU to SKU, so your brand doesn’t look different between variants.

This is especially useful for teams updating PDPs between seasons. Combined with audit trails and C2PA provenance, you can build a controlled pipeline instead of re-shooting or rerolling uncertain generations.

Every RAWSHOT output comes with full commercial rights, permanent, worldwide. That clarity is designed for teams that need to publish without extra ambiguity or separate licensing workflows.

Because outputs carry provenance metadata and watermarking, compliance and brand teams can review what was generated and how it’s presented. It’s honest by default, not an after-the-fact paperwork exercise.

Use the signed audit trail and provenance signals included with every output. RAWSHOT provides C2PA-signed provenance and labelled AI signals, so you can match approvals to what was produced.

Watermarking is included as well, helping teams maintain consistent governance across channels. For publishing checks, treat provenance and watermarking as part of your standard QA gate.

For photos, pricing is flat per image at about ~$0.55, with generation taking roughly 30–40 seconds. Tokens never expire, and you get refund on failed generations, which keeps iteration practical.

Video costs more because it uses more tokens per second, so photo is the default when you need quick catalog variations. For tunics, generate stills for PDP and carousel first, then add motion only where it sells.

Yes. RAWSHOT supports both a browser GUI for single shoots and a REST API for catalog-scale pipelines.

That lets you standardize lens/framing/lighting selections for every tunic SKU and batch-generate assets without manual intervention. The result is a repeatable workflow with provenance and commercial-rights clarity attached to every image.

Typed prompts in general AI workflows create extra uncertainty: you spend time prompt-engineering, and results can drift in garment details and consistency across outputs. That’s a problem for on-model catalogs where continuity is a requirement.

RAWSHOT replaces the prompt roulette with click-driven controls, garment-led fidelity, and stable model reuse. It also keeps the compliance story clean with C2PA-signed provenance, watermarking, and labelled outputs that teams can approve with less back-and-forth.