Direct campaign-ready footwear imagery with the AI Foot Photography 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 token rules, 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 get on-model imagery you can direct with garment-led controls, then publish with provenance and watermarking cues included in the output. That shifts the work from repeated reshoots to controlled iteration, which matters when you’re updating hundreds of listings each season.

RAWSHOT is built around the real garment: cut, colour, pattern, logos, and fabric drape are represented faithfully. Teams can also keep visual continuity by saving a synthetic model and reusing it across the catalog, so faces and bodies don’t drift between SKUs.

Because reshoots introduce scheduling cost, sample logistics, and variation you can’t fully control between days. When you’re updating product pages, you need consistency: the same model, the same look language, and garment details preserved across every new SKU.

With RAWSHOT, you click camera, framing, lighting, background, and visual style, then generate again without booking studio days. The per-image pricing and token rules are transparent, and outputs include C2PA-signed provenance and signed audit trails per image to support approvals.

You start in the browser GUI, select a footwear framing (close-up, detail, or flat-lay style workflows), then choose lighting, background, mood, and a visual style preset. Every creative decision is a control, so you can iterate while keeping garment fidelity stable.

Once you’ve locked the look, you generate the set and download outputs that are watermarked and labelled. Your team can then repeat the same settings through the REST API for batch runs, which is ideal for large SKU drops.

RAWSHOT keeps garment-led control and provenance as first-class features, while generic models often require prompt retries and can drift on product details. With DIY prompting, you also risk invented logos, inconsistent faces across outputs, and unclear rights language for commercial use.

In RAWSHOT, the controls map to real production decisions—lens, framing, lighting, and visual style—so you don’t waste time steering via text. Outputs are C2PA-signed and watermark-labelled, and you can scale the same workflow through the REST API when you need catalog consistency.

Yes. RAWSHOT outputs include C2PA-signed provenance and visible plus cryptographic watermarking, and they are AI-labelled so downstream teams have clear attribution cues. That transparency helps you manage governance when publishing sellable creatives.

On licensing, you receive full commercial rights to every output, permanent and worldwide. The pricing page also supports predictable operations with token refunds on failed generations and one-click cancellation for workflow control.

Run a simple QA pass that verifies garment fidelity, framing, and visual style alignment with your brand guidelines. Confirm that the output includes the expected provenance and watermarking cues, and check that your footwear details (shape, pattern, and placement) match the intended product.

Because RAWSHOT is garment-led, you’re less likely to see product mutation between variants than with prompt-driven DIY workflows. For approvals, the per-image signed audit trail and C2PA-signed provenance make it easier to verify what was generated and when as part of your internal process.

For photo work, pricing is per image with an expected generation time in the tens of seconds, and tokens never expire. If a generation fails, the system refunds tokens, so your creative pipeline stays predictable for buyers who need throughput.

Video can cost more because it uses more tokens per second than stills, which makes it important to choose the right output type for the job. For catalog teams, stills priced per image are often the cleanest path when you’re updating PDPs and bundles regularly.

Yes. RAWSHOT provides a REST API so you can run catalog-scale generation while keeping the same garment-led creative controls you use in the browser GUI. This is built for nightly pipelines and SKU batch work where buyers need consistency.

With the API, you can preserve model continuity by saving and reusing your synthetic model across your catalog. Outputs carry signed audit trails and C2PA-signed provenance, so operational approvals don’t depend on manual interpretation.

You can. Many teams start with the browser GUI for single shoots and approval cycles, then move the same workflow into the REST API for scale. Because the creative controls are structured like an application, buyers and operators can collaborate without reinventing how each variant is directed.

This setup also supports throughput planning: you can generate assets per SKU as part of a controlled pipeline, then publish with full commercial rights and permanent worldwide licensing. It’s access for the operators who need imagery now, not a prompt-based side project.