Direct campaign-ready fashion imagery with the Leather Jacket AI On-model Photography 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. You keep creative intent in controlled fields, while the workflow stays predictable for repeated SKU work.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps 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 jacket imagery production into a controlled, repeatable workflow. Instead of rebooking shoots for each size or colourway, you generate consistent on-model photos using garment-led controls for framing, lighting, and style direction. That consistency helps listings look like one campaign rather than a patchwork of different shoots.

RAWSHOT also delivers labelled, C2PA-signed provenance and per-image audit trail so your publishing process stays auditable. If you run batches, the REST API keeps the same creative controls you use in the browser, which reduces guesswork when scaling catalog volumes.

Because reshoots are scheduling-heavy and expensive, especially when you need near-real-time merchandising updates. With RAWSHOT, you click the look direction once—camera framing, lighting system, background, and visual style—and then generate the next SKU without prompt-driven variability. Garment fidelity stays anchored to your uploaded product rather than drifting under generative reinterpretation.

You also get commercially usable outputs with full commercial rights, permanent and worldwide, so marketing and storefront teams can publish confidently. When something fails, failed generations refund tokens, and you can cancel in one click to keep operations clean.

In RAWSHOT, you upload the garment, then direct the shoot through UI controls for framing, pose, angle, and lighting. Visual styles are selected via presets, so your direction stays consistent from one generation to the next. Instead of entering prompt text, you adjust the fields that matter to product presentation—especially on-model focus and scene mood.

For scale, the same choices can be executed via the REST API, which lets you batch-create PDP images across a catalog pipeline. Each output ships with provenance metadata and watermarking cues so QA can verify what’s been produced.

Prompt roulette creates unpredictable changes: garments can drift, logos can be invented, and faces can vary across outputs. RAWSHOT removes that variability by using garment-faithful controls rather than free-form language. You select what to change—frame, light, background, style—while keeping the product anchored to your garment inputs.

That means fewer manual edits and less rework when preparing storefront pages. With C2PA-signed provenance, watermarking cues, and a signed audit trail, teams also have clearer trust signals for publishing at scale.

Every RAWSHOT output includes clear AI-labelling and carries C2PA-signed provenance plus visible and cryptographic watermarking cues. That provenance and watermarking support transparency in downstream publishing workflows. For licensing, you receive full commercial rights to every output, permanent and worldwide.

Because the rights story is built into the product experience, marketing and ops teams don’t need to assemble a patchwork of explanations. If a generation fails, tokens refund so teams can keep production moving without paying again for broken jobs.

Run a garment fidelity check first: verify cut, colour, pattern, and logo placement match your product spec. Then confirm consistency of the on-model identity across required SKUs, including framing and focus. Finally, validate that each output includes the expected provenance and watermarking cues so your catalog records stay complete.

RAWSHOT’s per-image signed audit trail helps you audit what was generated for each SKU. For teams, the practical takeaway is to approve the directed settings in the GUI once, then batch-produce with the same controls via the REST API.

For still photography, pricing is straightforward: about ~0.55 per image with ~30–40 seconds per generation, and tokens never expire. Video is priced per second (about ~0.22 per second) because it uses more tokens per second than stills, so longer clips cost more. For any failed generation, RAWSHOT refunds tokens so your budget doesn’t get stuck on errors.

In practice, you can forecast still-image workloads for PDPs and hero banners while reserving video for campaigns that need motion. The cancel button is on the pricing page, and there are no per-seat gates for core features.

Yes. RAWSHOT provides a REST API so catalog pipelines can request on-model stills programmatically while keeping creative controls consistent with the browser GUI. That makes it practical for automated merchandising tasks, such as generating jacket images across sizes and colourways.

Outputs include C2PA-signed provenance and watermarking cues, and each file is supported by a signed audit trail. The operational takeaway is that your pipeline can produce, verify, and publish assets without manual prompt writing or ad-hoc approvals for every SKU.

Use the browser GUI for the creative direction approval step, then switch to REST API runs for catalog-scale throughput. Creative leads set the directed choices once—lens, framing, lighting, mood, background, and visual style presets—so operations can batch-generate without guessing. This keeps the team aligned and reduces delays caused by inconsistent outputs.

Because pricing is per image and tokens never expire, you can plan generation windows and keep production predictable. When issues happen, failed generations refund tokens, and you can cancel in one click, so the workflow stays controllable through launch day.