Direct your next product shoot with the Velvet AI On-model Photography Generator.

Never—you direct every output with sliders, presets, and clicks on the garment, not typed prompts. That UI control stays consistent whether you’re doing a single shoot in the browser or sending a catalog job through the REST API. It’s built for ecommerce reality, where teams need repeatability more than creativity theater.

For catalog operations, reliability matters more than model cleverness. RAWSHOT keeps token timing and refund rules explicit, and it attaches provenance metadata and labeling to each output. That means your team can rehearse PDP launches without losing time to invented garment details, missing rights context, or prompt roulette.

It turns fashion direction into a controllable workflow instead of a guess-and-retry cycle. You pick lens, framing, pose, facial expression, light, background, and a visual style preset—then generate. You don’t have to translate your creative intent into text syntax or learn a new prompting style.

For product pages and campaign assets, that matters because visual drift breaks layouts and brand standards. Garment-led generation keeps cut, colour, pattern, logo, and drape faithful to the garment you’re photographing, so iterations stay focused on styling rather than unintended changes.

Generic image tools often bend results to match vague instructions, which can cause product drift. RAWSHOT is engineered around the garment itself, so cut, colour, pattern, logo, fabric, and drape are represented faithfully. The result is direction that behaves like a real shoot: you adjust the scene, not the product.

That distinction reduces rework for teams who need consistent assets across colorways and sizes. It also prevents common DIY failure modes like invented logos and unpredictable fabric appearance between generations.

Because publishing needs traceability, not just aesthetics. RAWSHOT outputs include C2PA-signed provenance metadata, visible and cryptographic watermarking, and a signed audit trail per image. That makes it easier to review assets, document sourcing, and keep internal approvals moving.

For commerce teams, this lowers the overhead of compliance checks and rights conversations. You can keep assets organized as a system, not a pile of files with unclear origin.

Yes. RAWSHOT supports SKU consistency so you can reuse the same model setup across variants without face drift between outputs. That helps your catalog stay cohesive, especially when you’re updating seasonal colorways or expanding assortment size-by-size.

This is the opposite of what you typically see with DIY prompting, where faces can change across runs and result in inconsistent branding. With RAWSHOT, you iterate on product details and scene controls while preserving the stable model identity you selected.

RAWSHOT is designed to represent those garment specifics faithfully: cut, colour, pattern, logo, fabric, drape, and proportions. You direct the scene using controls, while the garment remains the brief that the system builds around.

That reduces risks like invented logos and unexpected product mutation that show up with prompt-driven workflows. It also makes QA faster because the product details you expect are the details you see.

Each output includes AI labeling and watermarking layers designed for transparency. You get visible watermarking cues as well as cryptographic watermark components, and the asset carries signed provenance metadata. An audit trail is attached per image to support review inside your team pipeline.

In practice, that means your downstream usage—PDP galleries, campaign pages, and internal review—has clear signals about what the asset is. It’s a brand trust decision, not a last-minute compliance scramble.

Stills are priced around ~$0.55 per image, with about 30–40 seconds per generation. Tokens never expire, and failed generations refund their tokens. You can also cancel in one click from the pricing page.

That pricing model is built for production planning: you don’t get surprised by per-seat gates or “contact sales” walls for core features. If you need a batch of SKU imagery, the cost story stays straightforward per output.

Yes. You can run single shoots in the browser GUI and scale to catalog pipelines with the REST API. That lets ecommerce teams automate generation across many products while keeping the same garment-led controls and output quality.

This is where RAWSHOT differs from DIY automation, because each catalog run stays consistent and traceable. The provenance metadata and labeling travel with each asset, so your production system doesn’t lose auditability.

No. The same control philosophy applies across UI and API workflows, and the rights story is explicit: full commercial rights to every output, permanent, worldwide. When you move to batch generation, you keep the same output expectations and the same transparency signals.

For teams, that means you can assign roles—styling direction in the UI, production throughput in the API—without breaking approvals. Your catalog pipeline can grow without rebuilding a separate creative process.