Direct campaign-ready fashion imagery with the AI Witch Fashion 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.

It lets you produce on-model imagery at catalog scale while keeping the garment as the brief. Instead of reshooting each SKU for seasonal updates, you reuse the same saved model and generate new images with controlled framing, lighting, and style presets.

RAWSHOT outputs are labelled, C2PA-signed, and watermark-protected, so your publishing workflow doesn’t stall on provenance questions. You can run single shoots in the browser GUI or move to the REST API for batch pipelines that stay consistent across variants.

Because small updates shouldn’t require studio days, sample shipping, or retakes. With RAWSHOT, you click direction for each variant and generate consistent on-model imagery with garment fidelity focused on cut, colour, pattern, logo, and drape.

When your catalog changes weekly, consistency matters more than one-off creativity. Save the model once, reuse it across SKUs, and publish with full commercial rights and labelled provenance for faster approvals.

Use the click controls to set lens, framing, pose, angle, lighting, background, mood, and visual style. The garment leads the generation so product details stay faithful instead of being reinterpreted from an open-ended instruction.

That’s how you get repeatable output for PDPs and ads: keep the same product focus, then adjust only the creative controls that matter for your channel. Each generation includes signed provenance and watermarking cues your team can verify before publishing.

Generic models often drift between generations, changing product details like logos, proportions, and fabric rendering. RAWSHOT builds around the real garment so cut, colour, pattern, fabric, and drape are represented faithfully for each output.

You also get a consistent catalog workflow: save a model to prevent face/body drift across SKUs, then apply style presets for the campaign look. That combination reduces rework and keeps your PDPs aligned with brand standards.

Every output includes C2PA-signed provenance metadata plus multi-layer watermarking and AI labelling. That means your compliance and brand governance teams have an auditable record, not a guessing game about origin or attribution.

It’s designed to map to EU AI Act Article 50 and California SB 942 contexts while keeping the creative workflow operational. You can review the signed audit trail per image before approvals and regenerate only what needs adjustment.

Check garment fidelity first: make sure cut, colour, pattern, logo placement, and drape match your product requirements. Then verify model consistency for the SKU set you’re publishing and confirm the output carries the signed provenance and watermarking cues.

If you’re building a campaign set, confirm the style preset and aspect ratio for each channel crop. RAWSHOT’s audit trail per image supports internal review so approvals stay fast and traceable.

For stills, pricing is per image (about ~$0.55 per image) with roughly ~30–40 seconds per generation. Tokens never expire, and failed generations refund their tokens, so you can run controlled iterations without losing planning confidence.

Video uses more tokens per second than stills, so longer clips cost more. If your team needs campaign variety across placements, still imagery tends to be the most predictable starting point, with labelled provenance and consistent licensing for marketing use.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines while keeping the same production intent you use in the browser GUI. That lets your ecommerce or PLM workflow batch-create on-model imagery with controlled framing, lighting, and style presets.

Because outputs carry signed provenance and watermarking cues, API-driven production doesn’t remove auditability. You can run nightly or on-demand SKU generations and keep a consistent face/body identity across your catalog set.

It stays consistent when you use the same saved model across the catalog and apply style direction through the click controls. That prevents face/body drift across SKUs and reduces the rework that comes from inconsistent output identity.

For teams, roles become simpler: designers direct the look in the GUI, while ops and developers trigger batch generation through the REST API. With one-click cancel rules, transparent per-image pricing, and full commercial rights to every output, you can scale without losing governance.