Direct your next drop’s campaign with the Kurta 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.

A click-driven workflow changes consistency: you keep the same style controls while regenerating variants, instead of re-spinning a creative outcome from scratch. That matters when your catalog needs comparable lighting, framing, and mood across every kurta SKU.

In RAWSHOT, you select lens, framing, pose, lighting, background, and a visual style preset, then generate and adjust one control at a time. Outputs carry C2PA-signed provenance and watermarking cues so your publishing process stays auditable, not improvised.

You skip reshooting because you avoid studio scheduling and physical sample cycles for every update, while still preserving repeatable look direction. Visual coherence comes from reusing the same controls and saving a model so face and body stay consistent across your line.

RAWSHOT is engineered around garment fidelity—cut, color, pattern, logo, and drape are represented faithfully as you iterate. The same engine runs in the browser GUI for small batches and through the REST API for nightly catalog pipelines.

Use RAWSHOT’s garment-led controls to direct the shoot: select framing (full body or close-up), pose, camera angle, lighting type, and a visual style preset. Each setting is a control you click, so the result stays aligned to your garment instead of drifting toward whatever a text-based system guesses.

After generation, review outputs with provenance metadata and watermarking cues, then regenerate by changing only the specific control you want. This keeps product pages comparable and reduces the back-and-forth that usually happens after prompt roulette.

Because prompt roulette treats your garment like a vague inspiration, which often leads to garment drift, invented branding, or inconsistent faces across outputs. For PDPs, those failures force reshoots or manual cleanup and delay publishing.

RAWSHOT keeps the brief tied to the garment while you direct camera, framing, lighting, and style via the interface. You also get labelled, provenance-backed outputs so ecommerce teams can move from iteration to approval with less uncertainty.

Yes. Every RAWSHOT output includes full commercial rights—permanent and worldwide—so your team can publish and advertise without unclear licensing stories.

That rights clarity is paired with provenance and labelling: outputs are C2PA-signed and watermarked, and they carry AI labelling cues. For kurta campaigns that go live across multiple storefronts and channels, this reduces legal back-and-forth and keeps approvals faster.

Verify garment fidelity, check the model consistency you intended for your SKU set, and confirm provenance metadata and watermarking cues are present. Those checks keep your product presentation accurate and your publication process auditable.

In RAWSHOT, garment-led controls help prevent cut/color/pattern drift during iteration, and saved models help prevent face/body changes between SKUs. Every output includes signed provenance (C2PA) plus visible and cryptographic watermarking and AI labelling cues.

For photo generation, pricing is per image with an expected turnaround of about 30–40 seconds per generation. Tokens never expire, and failed generations refund their tokens, which keeps budgeting predictable for production runs.

For short campaign iterations, you can cancel in one click from the pricing page. That operational clarity makes it easier for product and merchandising teams to plan photo cycles alongside merchandising calendars.

Yes. RAWSHOT supports catalog-scale production using a REST API, so you can generate kurta on-model imagery in batch workflows rather than manual browser sessions for every SKU.

The same garment-led controls and output consistency principles apply whether you produce a single look in the GUI or run nightly batches. Provenance and labelling are attached per output, so downstream publishing systems can store, verify, and approve assets reliably.

Use the GUI for creative direction and approvals, then switch to the REST API for throughput when the catalog needs volume. This separation keeps creative decisions controlled while production moves at catalog speed.

Because the controls and output quality expectations remain consistent across GUI and API runs, merchandising teams can define the look once and reuse it across SKUs. With per-image pricing, refund rules on failed generations, and full commercial rights per output, teams can scale without turning photography into a weekly ops project.