Direct your next drop with campaign-ready fashion imagery, guided by clicks — with the Tie Bar 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.

You stop treating imagery as a studio event and start treating it as a repeatable workflow. With RAWSHOT, you generate garment-led on-model stills by selecting camera, framing, lighting, pose, and visual style presets, then publish with the same look across your lineup.

That matters when your catalog needs frequent updates: RAWSHOT supports SKU consistency, per-image audit trail, and C2PA-signed provenance so approvals move faster without losing traceability.

Because prompt-driven and ad-hoc workflows often don’t keep the product and model consistent enough for ecommerce standards. RAWSHOT is engineered around the garment, so cut, colour, pattern, logo, fabric, and drape stay faithful while your chosen model remains consistent across SKUs.

Instead of chasing “close enough” outputs, you direct the shoot through application controls, generate the variants you need, and rely on per-image provenance and watermarking for publishing confidence.

You upload the garment and then direct the shoot using UI controls that map directly to photography decisions: lens, framing, angle, lighting system, background, mood, and visual style. You click through composition choices, then generate stills that keep the garment as the brief.

For teams, that means the workflow is teachable and repeatable—buyers and operators can follow the same controls in the browser GUI, while REST API payloads let you run batch production.

With typed prompts, you often trade control for guesswork—outputs can drift across generations, and garments may not stay true. RAWSHOT replaces prompt syntax with explicit controls for camera, framing, product focus, pose, and style so you can iterate variants while preserving garment fidelity.

It also adds provenance you can ship with: C2PA-signed metadata, audit trails, and AI labelling, which DIY workflows commonly lack.

Every RAWSHOT output includes full commercial rights that are permanent and worldwide. Outputs are also C2PA-signed with visible plus cryptographic watermarking and per-image signed audit trails, so your publishing workflow has clear traceability.

That’s built into the platform approach, not an afterthought—your team can approve campaign and catalog imagery without trying to infer rights or provenance from an unlabeled render.

Before publishing, verify the garment’s key visible elements—cut, colour, pattern, logo, and fabric drape—against your source product, then confirm the chosen framing, lighting, and visual style match the intended brand direction. RAWSHOT’s garment-led control reduces drift compared with DIY prompting, so QA is mostly about approval, not rescue.

For attribution, check that each generated image carries the required labelling, watermarking cues, and signed provenance record with its audit trail.

Stills use a per-image price model: about ~$0.55 per image with roughly ~30–40 seconds per generation. Tokens never expire, and you can cancel in one click, while failed generations refund tokens to avoid waste during iteration.

For teams, the predictable economics support planning: you can run controlled experiments in the browser GUI or automate production via REST API without guessing how costs scale with creative exploration.

Yes. RAWSHOT supports catalog-scale automation through a REST API, using the same garment-led engine behind the browser GUI. That means your team can generate many SKUs in a predictable workflow instead of managing manual shoots or ad-hoc generations.

Because outputs include signed provenance, watermarking, and audit trails, integration doesn’t just speed production—it also keeps publishing records consistent across batches.

Start with the same UI controls and presets for your first approval, then reuse the same model consistency strategy as you expand SKU count. RAWSHOT keeps on-model identity stable across SKUs, so your catalog doesn’t degrade into mismatched faces or reworked “almost right” images.

Once the look is approved, switch to batch generation through the REST API to keep throughput high while preserving garment fidelity, provenance metadata, and commercial-rights clarity for every output.