Direct campaign-ready garment photos with the AI Edge Lighting Generator—crafted from clicks, not prompts.

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.

In RAWSHOT, edge lighting is driven by selectable lighting systems plus camera and framing controls, so you can shape highlight direction without editing or re-shooting. You click your lighting option, set mood and background, and generate a still that stays centered on your garment’s cut and fabric cues.

This is built for commerce workflows where consistency beats novelty. You can keep your edge-light “look” stable across sizes by reusing your model and regenerating per SKU instead of chasing prompt-driven variability.

RAWSHOT is engineered around the garment as the brief, so cut, colour, pattern, logo, and drape are represented faithfully. When you adjust camera angle or lighting, the garment doesn’t mutate into a different product version.

Category-standard AI tools often show drift: the product changes between outputs, details blur, or logos get reshaped. With RAWSHOT you iterate using the same control set, then publish labeled files with signed provenance for audit-ready production.

You start by selecting lens, framing, pose, and the lighting system you want, then choose a visual style preset for the campaign language. The garment stays the reference, while you direct what the viewer sees through controls like background, mood, and aspect ratio.

Because the workflow is click-driven, your team can repeat the same direction for each variant. That makes approvals faster than prompt roulette and keeps your production pipeline consistent across daily SKU updates.

Because you want the same result across updates, not a different interpretation each time. RAWSHOT lets you save and reuse a model so faces and bodies stay consistent across your catalog, which eliminates drift between season refreshes.

When you regenerate only what changed—your SKU selection, product focus, or background—you keep your catalog visuals cohesive without booking studio time. The output also includes C2PA-signed provenance and watermarking cues for cleaner publishing operations.

RAWSHOT provides full commercial rights to every output, permanent and worldwide. Outputs also come with C2PA-signed provenance plus visible and cryptographic watermarking signals, so your team can document what it used for production workflows.

This reduces internal friction with legal or brand review because the provenance and rights message is attached to the file you ship. It’s a practical alternative to DIY workflows where rights can feel unclear.

Use three checks: verify garment fidelity (cut, colour, pattern, and drape), confirm the label and watermark presence, and ensure the framing matches the intended ratio and placement. RAWSHOT’s signed audit trail per image makes it easier to keep track of what was generated.

For catalog work, also confirm SKU consistency by reusing the same saved model. When your QA happens on controls and labels, you avoid last-minute surprises from unintended garment changes or missing provenance metadata.

For still photos, you can expect around ~30–40 seconds per generation at about ~$0.55 per image. Tokens never expire, and failed generations refund tokens, which keeps retry cycles predictable for teams.

While video uses more tokens per second and costs more per clip, your pricing for catalog hero images stays straightforward. Use the still workflow for PDP and campaign assets that need consistent framing and fast iteration.

RAWSHOT supports both a browser GUI for single-shoot work and a REST API for catalog-scale pipelines. That means your team can batch-generate per SKU, then route downloads into your ecommerce or DAM workflow without manual click repetition.

Because the controls map to predictable settings, your production logic can stay stable across variants. Pair that with signed provenance and consistent model reuse for an end-to-end pipeline your operations can rely on.

Teams keep throughput high by reusing the same model settings and applying changes at the product level—SKU, framing, lighting option, background, and style preset—then generating in fast cycles. The workflow is accessible in the browser for operators, and it scales through the REST API when you need batch runs.

Since pricing is per image with token refund on failure and one-click cancel, production managers can plan retries without guessing. The result is a consistent daily output stream for merchandising and campaign updates.