Direct your next campaign with the Base Layer AI On-model Photography Generator, click by click.

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.

In practice, you pick lens, framing, lighting, background, pose, and a visual style preset. RAWSHOT then generates stills that follow your garment’s cut, colour, pattern, logo, fabric, and drape, with C2PA-signed labelling and a signed audit trail per image.

It turns fashion photography direction into a repeatable workflow: you select camera, framing, lighting, and style presets for each shoot job, then generate consistent on-model images across SKUs. Instead of “almost” matching variant-to-variant, RAWSHOT is designed around garment fidelity and stable model baselines so your catalog stays coherent. That matters for PDPs and merchandising reviews where teams need predictable outputs, not creative roulette.

With RAWSHOT, the garment stays the brief—cut, colour, pattern, logo, fabric, and drape are represented faithfully. Every image includes provenance signalling with C2PA-signed output and a signed audit trail, so publishing and compliance checks are operationally straightforward.

Because season updates require more than a photoshoot; they require consistent presentation across hundreds or thousands of items. Reshooting repeatedly introduces drift in model look, lighting, framing, and styling, while inventory schedules and sample handling slow everything down. RAWSHOT gives you a structured way to generate new imagery as your catalog changes without re-running a full studio process.

You direct the shoot once through the RAWSHOT UI, then apply the same controls for variant sets. Outputs are labelled and watermarked, so your team can review, approve, and publish with traceability rather than relying on guesswork.

You start by uploading the garment and choosing fashion controls like lens, framing, pose, camera angle, lighting, background, mood, and a visual style preset. Those controls are built for apparel direction, so you don’t translate intent into a text command. When you generate, RAWSHOT stays garment-led, preserving cut and design details that shoppers recognize.

If you need multiple compositions per product, RAWSHOT supports up to four products per composition across categories. You can also set 2K or 4K resolution and the aspect ratio for your exact publishing destinations.

Because prompt-based workflows introduce unpredictability in both product representation and output consistency. Garments can drift, logos can be invented, and faces may change across outputs, which creates expensive rework when merch teams need brand-accurate PDP assets. RAWSHOT keeps the garment as the brief through controls engineered around the real product.

You also get structured provenance: C2PA-signed output with visible and cryptographic watermarking cues plus a signed audit trail per image. That means your review process is faster, and your publishing record is cleaner.

Every RAWSHOT output is C2PA-signed and watermarked with visible and cryptographic layers, and the output is AI-labelled as part of the provenance signal. RAWSHOT’s compliance approach is aligned to EU AI Act Article 50 and California SB 942, with an audit trail signed per image. This is designed for teams that need clarity before assets go live.

In day-to-day operations, you can export outputs knowing that the provenance metadata travels with the file and that your review workflow has a consistent basis. That transparency supports internal approvals, retailer sharing, and catalog QA without manual documentation work.

Start with garment fidelity: confirm cut, colour, pattern, logo, fabric character, and drape match your design references. Then verify consistency where it matters—same model baseline across your SKU set, correct framing and focus for PDP or lookbook use, and the intended visual style preset. Finally, check provenance signals: C2PA-signed output, watermark cues, and audit trail availability for internal approvals.

Because RAWSHOT is click-directed and repeatable, QA becomes a control verification step rather than a creative guessing game. If something needs adjustment, you change the relevant control and regenerate, keeping the garment-led brief intact.

For photos, RAWSHOT uses flat per-image pricing at about ~$0.55 per image, with ~30–40 seconds per generation. Tokens never expire, failed generations refund tokens, and you can cancel in one click from the pricing page. That makes workload planning easier for teams that run frequent updates across a catalog.

Video and model generation use different token economics and cost more due to additional token usage per second, but stills remain the simplest path for ecommerce merchandising. For most storefront refresh cycles, you can build predictable batches with the same GUI controls or via REST API.

Yes. RAWSHOT supports catalog-scale generation with a REST API while keeping the same garment-led controls you use in the browser GUI. That lets your team integrate imagery production into existing workflows without rebuilding creative direction logic for every run. You can keep SKU-level consistency while your pipeline scales across collections.

In practice, teams use the GUI for single-look verification, then switch to REST API for batch jobs. The outputs remain labelled with C2PA-signed provenance and a signed audit trail, so your downstream review and publishing processes stay consistent.

A practical pattern is to assign creative direction to a small set of operators who validate the controls in the browser GUI, then hand off batch generation to catalog or ops roles via REST API. Because RAWSHOT is repeatable and the controls are consistent across interfaces, you avoid the “same brief, different results” issue that breaks catalog workflows. This keeps review loops short and makes throughput predictable.

You also keep compliance and rights clarity tied to every asset: full commercial rights to every output, permanent and worldwide, plus C2PA-signed labelling and watermarking cues. That reduces friction when assets move from production to approvals to publishing across storefront destinations.