Direct your next on-model shoot with the Sequin AI On-model Photography Generator—campaign-ready imagery 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.

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 fashion photo production into a repeatable pipeline tied to your actual product design. Instead of chasing variations with unstable results, you lock camera, framing, lighting, mood, and style as controls while the garment stays represented faithfully.

That matters for catalogs because teams need consistency across dozens or thousands of SKUs, not one-off creativity. RAWSHOT pairs those controls with signed provenance and watermarking cues, so every batch output is ready for review and publishing.

Because prompt-based and traditional reshoots both cost time and introduce drift. With RAWSHOT, you generate new images by adjusting the direction you want while the garment brief stays aligned, so updates don’t require repeated studio scheduling.

You also get predictable photo economics with per-image pricing and ~30–40 seconds per generation. Teams can retry safely since failed generations refund tokens, and exports include C2PA-signed provenance and labelled outputs for smoother approvals.

You build the shoot with clicks: set lens and framing, choose pose and camera angle, then select lighting, background, mood, and a visual style preset. Your choices replace a text-based brief with controlled settings designed for fashion teams.

Once you generate, you can iterate per variant while keeping direction coherent. Every output includes signed provenance and watermarking cues so internal QA can verify what was produced before publishing.

Because it reduces the kinds of failures that come from free-form prompting, like garment drift and invented branding. When you direct with garment-faithful controls, the product representation is the priority, not the model’s interpretation of a text description.

DIY workflows also tend to create inconsistent faces across outputs, which breaks catalog uniformity. RAWSHOT supports synthetic model consistency across your SKU run and keeps provenance, labelling, and rights clarity built into the export process.

Every RAWSHOT photo export includes C2PA-signed provenance and watermarking cues so teams can trace the origin of the image and verify its status. Outputs are also AI-labelled, which helps publishing teams keep documentation and transparency aligned with commerce needs.

Compliance context is built in to support EU AI Act Article 50 and California SB 942, while EU-hosted delivery supports secure workflow handling. You get an audit trail per image to reduce uncertainty during approvals.

Verify garment fidelity: cut, colour, pattern, logo, fabric, and drape should match your product brief. Then confirm the output is correctly labelled and carries signed provenance, plus visible and cryptographic watermarking cues for internal audit.

Finally, review consistency across your SKU run so faces and styling stay coherent. RAWSHOT’s controls make it easier to change only the art direction you want while preserving product representation.

Photo work is priced per image at about ~$0.55, with each generation taking roughly 30–40 seconds. Tokens never expire, and if a generation fails, tokens are refunded so your team can retry without losing budget.

You also have one-click cancellation on the pricing page. For planning, teams can run controlled variants—style, aspect ratio, and framing—without the cost chaos that comes from repeated prompt retries.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while keeping the same click-driven control logic that you use in the browser GUI.

That makes it practical to automate nightly SKU generation and feed your ecommerce systems with consistent art direction. Pair that with signed provenance, watermark cues, and the per-image pricing model for predictable operations.

Different roles can collaborate without switching tools: creative direction in the GUI for single shoots, and API-driven batch generation for catalog scale. Pricing and export rules stay consistent so teams don’t need separate workflows for different departments.

Operators can run controlled iterations, QA can rely on signed audit trails and labelling, and publishing teams can move faster because full commercial rights are included for every output. Your workflow scales through both interface and REST integration.