Campaign-ready fashion imagery, directed by clicks — with the AI Diffused Lighting 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 gives you campaign-grade lighting control while keeping the garment as the brief—cut, color, pattern, logo, and drape stay faithful. Instead of chasing variations after each creative run, you dial diffused studio mood through repeatable UI settings and generate images that match PDP and storefront requirements.

Once you’ve selected your lens, framing, and style preset, RAWSHOT repeats the same lighting-led direction across variants. That’s how teams keep launches consistent without reshooting every SKU from scratch.

Because lighting and framing can be repeatable when your workflow is control-based, not guess-based. Traditional reshoots tie updates to studio time, travel, and retakes, while RAWSHOT lets you generate new imagery from the same garment-led setup.

You also get a cleaner publishing pipeline: labelled synthetic outputs, C2PA-signed provenance, watermarking cues, and a signed audit trail per image. That structure helps marketing and ops ship faster with fewer review surprises.

Start a new shoot in the browser, then select the camera lens, framing, pose, angle, lighting preset, background, and visual style. RAWSHOT treats these as product photography controls, so your lighting decisions stay grounded in real shoot parameters rather than text improvisation.

Generate in 2K or 4K depending on your storefront needs, choose the aspect ratio that matches each placement, and download the labelled outputs for review. Your team can repeat the same setup across variants to keep continuity.

Garment-led control keeps the product identity stable while you direct lighting and camera composition. Generic image tools often drift the garment across runs—changing details you care about, like fabric drape, logo placement, or color consistency.

With RAWSHOT, the workflow is click-driven and designed for SKU-level reuse. You also get provenance and auditability per image, which is essential for commercial teams that publish at scale.

Yes. Each generated image includes C2PA-signed provenance metadata, plus visible and cryptographic watermarking cues, and outputs are transparently labelled as synthetic composites.

That means legal and compliance review has a concrete record to verify what was created, not a vague provenance story. For commercial publishing, you also receive full commercial rights to every output, permanent and worldwide.

Start with garment fidelity: confirm cut, color, pattern, logo placement, and fabric drape look correct under the diffused lighting mood you selected. Then check consistency cues—frame, aspect ratio, and style preset—to ensure your PDP set stays coherent across variants.

Finally, verify provenance indicators on the output: C2PA-signed metadata, watermarking cues, and the signed audit trail per image. That closes the loop for brand review and operational approvals.

Stills are priced per image at about $0.55, with each generation taking roughly 30–40 seconds. Tokens never expire, failed generations refund their tokens, and the cancel button is available on the pricing page.

For teams launching many variants, that predictability helps you plan production without surprise costs. It also keeps experimentation bounded when you need to fine-tune lighting direction per collection.

Yes. RAWSHOT provides a REST API for catalog-scale pipelines while still offering a browser GUI for single-lookbook shoots. That separation lets creative teams direct within the UI and move batch generation into automated operations.

Because the same engine and controls apply in both surfaces, you can keep lighting and framing consistent across automated runs. The result is fewer mismatches between what you approved and what your catalog actually publishes.

Both, with clear handoffs. Creative can run diffused lighting direction in the browser GUI to lock the composition rules—lens, framing, mood, and style—while ops can scale the same setup via the REST API for nightly catalog batches.

This model avoids the usual bottleneck of prompt-debugging, because your controls are reusable and repeatable. With labelled outputs, signed provenance, and permanent commercial rights, teams can publish confidently without last-minute compliance ambiguity.