Direct your next billboard drop with the AI Billboard Generator—click-driven on-model imagery for real garments, no prompting.

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.

You keep the same model identity and direction settings across your SKU set, so the face and body presentation don’t drift between runs. The garment-led controls preserve cut, color, pattern, logo, fabric, and drape so the product reads like your product at every update.

For execution, you set the camera, lighting, framing, and visual style once, then generate per SKU through the GUI for single shots or via the REST API for catalog-scale pipelines.

Garment-led control means the product is the brief: RAWSHOT represents real apparel details faithfully while you adjust camera and creative choices through UI controls. Prompt-based tools often trade garment fidelity for style imitation, which can lead to drift and inconsistencies between variants.

In practice, RAWSHOT offers 150+ visual style presets, multiple framings, and 2K/4K output, while keeping provenance signalling and labelled outputs part of the publishing workflow.

DIY prompting can produce garment drift, invented branding, and inconsistent faces across outputs—so your catalog loses continuity between SKUs. It also adds prompt-engineering overhead, because you end up rewriting constraints until the results behave.

RAWSHOT instead gives you a click-driven interface tuned for fashion: garment fidelity first, signed provenance second, and catalog-scale repeatability via GUI and REST API when you need throughput.

Yes. You select lens, framing, pose, camera angle, lighting system, background, mood, and a visual style preset using controls inside the app. Each revision stays anchored to your garment-led setup rather than reinventing the whole scene from scratch.

That means faster approvals for campaign workflows, with 2K/4K exports and aspect ratios that support billboard and platform crops.

They do. RAWSHOT generates C2PA-signed provenance metadata and applies visible plus cryptographic watermarking to outputs, along with AI-labelled output indicators for transparency.

You also get a signed audit trail per image, which makes internal reviews smoother for legal, compliance, and brand teams working on campaigns or marketplace listings.

Every RAWSHOT output includes full commercial rights, permanent and worldwide, so you can use generated imagery across advertising and storefront publishing without a confusing rights narrative. The rights story is consistent across stills, and it’s designed to fit real operator workflows.

Keep your own production records clean by relying on the signed provenance, watermarking cues, and audit trail per image for approvals before you push creatives live.

Photo generation runs in about 30–40 seconds per image, and tokens never expire. If a generation fails, you get token refunds, and the pricing page includes a one-click cancel control.

For teams producing lots of creative variants, that predictability helps you plan approvals and production windows without keeping prompt sessions alive or rebuilding constraints repeatedly.

Yes. RAWSHOT supports both a browser GUI for single shoots and a REST API for catalog-scale pipelines, so you can run batch generation without changing how you think about camera direction and style presets.

This makes it practical for SKU refresh workflows, where the same look and garment-led direction needs to apply across many products with consistent outputs.

You can start in the GUI for creative direction and approvals, then scale to REST API jobs once you know the controls that produce the right campaign look. This keeps operators aligned on the same garment-led settings instead of splitting teams across incompatible creative workflows.

As you grow, the catalog team can generate for many SKUs using the same control logic, while the creative team maintains consistent visual direction for every billboard-ready release.