Direct campaign-ready fashion imagery with the AI Eye 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 turns your garment into the fixed reference point and your creative decisions into explicit controls. Instead of rerunning vague requests, you click camera, framing, lighting, and style presets to generate stills that stay aligned to each product’s cut, color, pattern, logo, and drape.

For commerce teams, that means fewer approvals cycles and less cleanup. You can also save and reuse a model so your catalog visuals remain cohesive across many SKUs, while each output includes signed provenance and clear watermarking cues.

Because seasons change the look you need: lighting, mood, aspect ratio, and brand styling. RAWSHOT lets you keep the garment details steady while iterating the presentation through visual style presets and camera settings, so you update imagery without booking a new studio day.

You also avoid common DIY failure modes like garment drift and invented branding. With RAWSHOT, exports carry C2PA-signed provenance and labelled synthetic-model cues, so marketing and legal teams get a clean, publish-ready asset trail.

You upload the real garment and then direct the shot using product focus and composition controls. Click framing (full body, 3/4, close-up, detail, or flat-lay), choose lighting and background, and select a visual style preset that matches your brand’s catalog look.

Every generation is engineered around faithful garment representation, so your cut and fabric drape remain the brief. When you’re done, export stills at 2K or 4K with signed audit trail per image and full commercial rights for publishing.

Prompt roulette often produces unpredictable results that change between attempts—garment drift, inconsistent faces, and occasional logo invention. RAWSHOT instead uses garment-led generation and click-driven controls, so the product stays the reference and iteration is repeatable.

For PDP work, consistency matters as much as aesthetics. RAWSHOT supports model reuse across your catalog, while outputs are labelled and provenance-signed for trustworthy production workflows.

Yes. Each export includes C2PA-signed provenance metadata and watermarking cues (visible plus cryptographic), along with AI labelling so teams can document what was generated.

This makes approvals smoother for marketing, compliance, and brand leads who need to know the source information behind every still. It’s designed for EU-hosted, production-minded workflows where provenance and traceability are part of the deliverable, not an afterthought.

Start with garment fidelity: verify cut, color, pattern, logo, and drape in the generated still. Next check model consistency for your catalog—if you’re iterating across SKUs, reuse the same model to avoid face drift and mismatched presentation.

Then confirm provenance and labelling: look for C2PA-signed data and watermarking cues in the output. Finally, verify framing and crop for your platform needs using aspect ratio controls and 2K/4K resolution settings.

For stills, pricing is flat per image at about ~$0.55 per generation with typical runtimes around ~30–40 seconds. Tokens never expire, and failed generations refund their tokens, which keeps experiments from turning into unexpected budget waste.

In practice, you can plan iterations like “generate 30 variants, approve 10, regenerate only the misses.” The cancel control is also on the pricing page so you can stop a run without friction when the creative direction is locked.

Yes. You can generate single shoots in the browser GUI and then scale catalog output using a REST API that supports batch workflows. That keeps creative intent consistent between one-off campaigns and nightly SKU production runs.

When you automate, you still get the same provenance, watermarking cues, and commercial rights story per image. This is built for teams that need integration-ready, reproducible outputs—not a manual “try again” loop.

Throughput depends on how many variants you batch, but the workflow is designed for operators to scale from browser approvals to automated production. You click once to direct the look for GUI tests, then reuse the same model and settings pattern in API runs for catalog-scale output.

Because pricing is transparent per image and tokens never expire, teams can plan production windows without seat-based gates. You also keep each output’s audit trail and rights framing intact, which reduces downstream coordination across marketing, storefront, and compliance.