Direct your next drop with Flats AI On-model Photography Generator—click-driven, garment-faithful fashion imagery.

Never—you direct every output with sliders, presets, and clicks on the garment, not typed prompts. That control style stays consistent whether you generate a single still in the browser GUI or automate catalog batches via the REST API. It also keeps creative iteration focused on fashion direction: framing, lens, pose, lighting, background, and visual style.

For commerce teams, repeatability beats novelty. RAWSHOT keeps token rules, timing, refund behavior, and commercial-rights framing explicit, while C2PA-signed provenance metadata and watermarking cues travel with every image. The result is a workflow you can teach buyers and operators to run without turning production into prompt troubleshooting.

You get repeatable on-model imagery without reinterpreting text instructions for every variant. Instead of chasing the right phrasing to stabilize results, you lock your look with UI controls and generate again with the same direction. This is especially important when your product line changes weekly and your merchandising team needs consistent visuals.

RAWSHOT keeps the garment as the brief, so cut, color, pattern, logo, fabric, and drape don’t mutate just because you changed wording. Save your chosen model and reuse it across SKUs to prevent face drift and reduce retakes. You also receive C2PA-signed provenance and labelled outputs alongside the image, so publication doesn’t become a compliance scramble.

Because each reshoot is a new schedule, a new setup day, and a new chance for visual drift. When you update collections, you need stable product representation and predictable output timing. RAWSHOT is built to help teams generate on-model stills quickly while keeping the garment faithful to the original product.

In practice, you select framing, lighting, and a visual style preset, then generate in the same interface each time. Your model stays consistent across your catalog when you reuse a saved model, which helps keep PDP tiles and hero images aligned. Every output includes full commercial rights that are permanent and worldwide, so legal review stays straightforward.

Inside RAWSHOT, you direct the shoot with garment-led controls instead of text-based instructions. Click to choose the lens, aspect ratio, framing (including flat-lay if needed), pose, camera angle, lighting, and background. Then you select a style preset that matches your brand’s campaign language.

Because the engine is engineered around the real product details, the garment stays faithful across the series—cut, color, pattern, logo, fabric, and drape are represented rather than improvised. You can generate at 2K or 4K for each variant, and the UI keeps your settings consistent so your catalog doesn’t look like different creative timelines. Outputs ship with labelled provenance metadata and an audit trail per image.

Prompt-based DIY tools often interpret the same idea differently each generation, which shows up as garment drift, invented branding, and inconsistent faces. Your PDP tiles need stability: the product should look like the product, and the on-model presentation should stay consistent across SKUs. RAWSHOT is designed for that kind of operational reliability.

You click camera and framing choices, lock lighting and background, and use visual style presets rather than rewriting instructions. RAWSHOT also supports catalog consistency by letting you reuse the same saved model across your entire set of SKUs, reducing retakes. Provenance and labelling are included with each still, so your publishing workflow has a clear record rather than a guessing game.

RAWSHOT stills include labelled AI output and C2PA-signed provenance metadata, backed by visible and cryptographic watermarking cues. That means operators and downstream teams have clearer context on what the image is, how it was produced, and how to handle it in a brand-safe way. It also supports compliance-minded review for ecommerce and campaign workflows.

The audit trail is signed per image, and watermarking provides both human-readable signals and cryptographic verification. For fashion teams, that’s not just legal hygiene—it’s brand equity through consistent disclosure. When you generate thousands of SKUs, you want the record attached automatically, not added manually after the fact.

Yes. RAWSHOT is built around predictable controls and explicit output signals, so QA can focus on garment fidelity and consistency rather than chasing random generation quirks. You can verify that the garment’s cut, color, pattern, logo, and drape match expectations, then check that the model and visual style remain consistent across your set.

Provenance and labelling come with the still, including C2PA-signed metadata and watermarking cues, plus a signed audit trail per image. That gives QA teams a concrete checklist beyond aesthetics. When you reuse a saved model, you also reduce face drift across SKUs, keeping catalog tiles visually coherent and easier to approve.

Photo generation is priced per image, at about ~$0.55 per still, and each generation takes roughly 30–40 seconds. Tokens never expire, so you can plan production without worrying about timed credit drains. If a generation fails, you get a refund of the tokens used for that failure.

There’s also a one-click cancel flow on the pricing page, and core features aren’t locked behind per-seat gates. That matters for teams that start small and scale later, especially when you’re generating varying quantities of SKU variants across weeks. The predictable per-image economics make budgeting easier for catalog refresh cycles.

RAWSHOT offers a REST API for catalog-scale pipelines, while still giving you a browser GUI for single-shoot direction. In practice, you define your desired controls and generate batches instead of running one-off creative sessions. This keeps your style and framing decisions consistent across large product catalogs and editorial schedules.

When you run at scale, the same garment-led generation principles apply, and each still includes C2PA-signed provenance plus watermarking cues and a signed audit trail. That makes downstream handling smoother for teams that need auditability and consistent rights framing. You can use the API to orchestrate nightly production runs without shifting creative intent between operators.

The UI is optimized for direct, interactive shooting—set your controls, review, then generate. Batch jobs through the REST API are optimized for throughput: generate consistent stills across many SKUs using the same saved direction. You can keep one creative standard across a team instead of re-creating the look each time.

Both paths keep garment fidelity and labelled provenance consistent, so operations can rely on the same compliance signals at every stage. In scaled workflows, reuse saved models to reduce face drift across your entire catalog, and keep your visual style presets aligned with brand campaigns. The result is stable production, not just faster generation.