Direct your next mid-season campaign with the Midi Dress AI On-model Photography Generator, built around your real garment.

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 your midi dress product details into a repeatable on-model workflow that you can run across many SKUs. Instead of rebooking studio days or reworking prompts until the output “looks right,” you click controls for framing, pose, lighting, and visual style, then generate consistent variations.

RAWSHOT is engineered around the garment—cut, color, pattern, logo, fabric, and drape stay faithful—while each output carries signed provenance and watermarking cues. That means your product team can iterate per SKU with fewer surprises and a cleaner publishing process.

Because DIY prompting often creates instability between outputs: garments can drift, branding can be invented, and faces can change from image to image. For PDPs and seasonal updates, that inconsistency turns into retouch work and delays that look like “iteration,” but feel like rework.

RAWSHOT keeps the garment as the brief and provides click-driven controls that you can reproduce across batches. You also get labelled outputs and C2PA-signed provenance so your compliance and rights story stays coherent from the first draft to the final publish.

You upload or select the garment, then direct the shoot through the browser GUI: choose lens, framing, pose, camera angle, lighting, background, and a visual style preset. Every creative decision is a control you click, so you’re guiding a fashion workflow rather than running a text experiment.

For ecommerce, start with clean campaign or catalog presets, then adjust aspect ratio and product focus for each PDP layout. Each generated image includes provenance and watermarking cues, so your team can publish without guessing what happened in generation.

Yes. RAWSHOT supports SKU consistency by keeping the model setup stable so the face and body remain consistent across your catalog. That means your midi dress imagery looks like it came from the same shoot, even when you’re generating thousands of variants.

Because the garment-led brief is separate from the model attributes, you can iterate dress details across colors or patterns without introducing the “new person each output” problem that shows up with DIY prompting. Your catalog pipeline stays coherent for customers and internal merchandising teams.

RAWSHOT provides full commercial rights to every output, permanent and worldwide. That’s built into the platform output rights story so your merchandising team can use the imagery for commercial publishing without uncertainty.

For added trust, outputs include C2PA-signed provenance and watermarking cues plus AI labelling. Together, this gives you clearer compliance handling for downstream retailers and agencies.

Every generated image includes C2PA-signed provenance, AI labelling, and watermarking cues, plus a signed audit trail per image. Instead of leaving attribution to filenames or spreadsheets, the file carries the evidence your team needs.

This matters for fashion operations because approvals often span multiple roles—design, legal, marketing, and catalog ops. With the audit trail attached, teams can review settings confidently and move faster from draft to production.

For photos, RAWSHOT pricing is about ~$0.55 per image with roughly 30–40 seconds per generation. Tokens never expire, and you can cancel with one click on the pricing page.

If a generation fails, tokens are refunded, which keeps iteration practical during creative review. For high-volume catalog work, this makes costs predictable enough to plan around SKU batches rather than around unexpected rework.

The REST API lets you run RAWSHOT as part of your existing pipeline: you trigger generations for SKUs, select controls, and receive outputs at scale. Your team doesn’t have to babysit interactive sessions when the catalog needs consistent volume.

Because RAWSHOT keeps the garment-led approach and provenance attached to each output, API-driven generation still produces files that align with your publishing and audit requirements. It’s designed for production-style iteration where outputs need to be reliable, not just pretty.

In the GUI, a designer or merch lead can direct a small set of midi dress shoots—testing lighting, styles, and framing decisions quickly. For throughput at catalog scale, the pipeline shifts to API runs where operations trigger consistent batch generation across your SKU list.

The key is that the controls remain the same conceptually: you’re still directing the shot with structured settings, not rewriting text instructions. That keeps handoffs cleaner, helps reduce rework, and makes it easier to manage approvals across teams.