Campaign-ready fashion imagery, directed by clicks with the Salwar Kameez 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 turns garment-led art direction into a repeatable workflow your team can run weekly. Instead of reshooting or iterating through uncertain text instructions, you set camera and lighting controls and generate on-model imagery that stays focused on the provided garment details.

This matters for commerce because the output can keep a consistent look across variants. RAWSHOT also returns C2PA-signed provenance and watermarking cues, so your catalog QA process has a clear, publishable record for each image.

Because reshoots are slow, expensive, and hard to keep visually consistent across time. When you update a catalog, you need stable framing, stable lighting direction, and a dependable model look that doesn’t drift between runs.

RAWSHOT lets you save a model direction and reuse it across your catalog so the same face and body characteristics apply to every SKU. You get signed provenance per image and full commercial rights, which reduces approval uncertainty when new product drops land.

You upload the garment and then direct the shoot using interface controls like lens, framing, pose, angle, lighting, background, and visual style presets. Every setting is a click, and the generator stays grounded in the actual garment you provide.

For QA, you can generate at 2K or 4K, choose the aspect ratio needed for your PDP and social placements, and inspect outputs for garment fidelity before publishing. This keeps the workflow predictable for teams managing multiple SKUs per week.

Garment-led control reduces drift. Generic image systems often change garment details, invent brand elements, or shift faces between outputs because they optimize around a text description rather than your exact product.

With RAWSHOT, the controls are structured for fashion teams—camera library, consistent framing options, and reusable model settings. You also get C2PA-signed provenance, clearer labeling, and a clean commercial-rights story for storefront publishing.

Yes. RAWSHOT outputs are C2PA-signed and include labeling and watermarking cues so your publishing team can make informed decisions without hunting through guesswork.

This is built for the reality of production: approvals need evidence, not just aesthetics. For on-model Salwar Kameez imagery, each image also carries a signed audit trail to support internal review and traceability.

Start with garment fidelity: confirm cut, colour, pattern, logo placement, fabric feel, and drape match the provided garment. Then verify consistency across variants by using the same saved model direction and checking framing and product focus for readability.

Finally, check publishing metadata: C2PA-signed provenance, watermarking cues, and labeling should be present on outputs you plan to ship. That keeps your approvals fast and your catalog consistent.

For stills, you pay per image—about $0.55 per generation—with a typical generation time of roughly 30–40 seconds. Tokens never expire, and failed generations refund their tokens, so production stays controllable.

Video costs more because it uses more tokens per second than stills, and longer clips cost more accordingly. If you’re mostly updating PDPs and thumbnails, stills pricing aligns better with catalog-scale iteration.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while also offering a browser GUI for single shoots and approvals. That combination is useful when you need to generate multiple SKUs nightly while keeping a human review pass before publishing.

Use the same garment-led control approach through the API and keep model consistency by saving a model direction for reuse. Your team can build an operational cadence around predictable output rules and explicit licensing terms.

You scale through the same application interface and shared controls, not by expanding a prompt-writing workflow. RAWSHOT is designed so your merchandisers, designers, and operators can direct shoots with presets, sliders, and saved model settings that behave the same in the browser and through the API.

That means fewer reworks when SKU batches grow: model consistency is handled by saved model reuse, outputs carry provenance and audit trail cues, and your commercial-rights story stays clean for publishing. Build a repeatable approval loop and let the pipeline handle throughput.