Direct campaign-ready outfit posts with the AI Ootd Post 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 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.

It turns outfit imagery from an art-iteration bottleneck into a controlled production workflow. Instead of repeating the same creative conversation every time you update a colorway, you adjust the exact settings you want—lens, framing, lighting, background, and visual style—then generate again.

That matters for ecommerce because garment details must stay stable across variants, and your publishing schedule can’t wait on reshoots. RAWSHOT is built around the product as the brief, with C2PA-signed provenance and consistent, labelled synthetic models so your team can scale OOTDs while keeping outputs reviewable and rights-ready.

DIY prompting invites drift right where you can’t afford it: garments mutate, logos get invented, and faces can change across outputs. You then spend time fixing inconsistencies instead of shipping the next post—especially when every platform expects a different aspect ratio.

RAWSHOT keeps the garment as the brief and steers the scene with controls rather than prompt roulette. You also get labelled provenance and a signed audit trail per image, which reduces publishing friction when teams must defend commercial usage and attribution.

In RAWSHOT, you click through the scene direction: select camera/lens, choose framing (full body, 3/4, close-up, detail, or flat lay), set pose and camera angle, then pick lighting, background, mood, and a visual style preset.

Because the garment is the brief, the output focuses on your actual cut, colour, pattern, logo, fabric, and drape. For faster production, save the model and reuse it, so your OOTD posts look consistent as you rotate through SKUs and publish with clear rights and provenance signals.

Prompt-based tools often optimize for the prompt’s phrasing rather than your product’s exact details. That’s how you end up with garment drift between generations, invented branding that wasn’t yours, and inconsistent product representation across the same campaign.

RAWSHOT organizes the creative decisions as UI controls tied to fashion production needs—so you can lock the look direction while keeping product fidelity intact. The results come with C2PA-signed provenance and watermarking, plus full commercial rights, which helps teams keep approvals moving across ecommerce and marketing.

Every RAWSHOT output includes full commercial rights that are permanent and worldwide. That means your brand team doesn’t need to reverse-engineer usage rules per generation when you publish OOTD imagery across PDPs, ads, and social.

On top of the rights line, RAWSHOT outputs are C2PA-signed, AI-labelled, and watermarked with both visible and cryptographic records. For commerce operators, that combination keeps your workflow defensible and your publishing process smoother.

You approve outputs using the built-in provenance and watermarking, not guesswork. RAWSHOT generates images with C2PA-signed provenance metadata and a signed audit trail per image, and it applies visible plus cryptographic watermarking.

This helps teams review whether the product representation and attribution meet internal standards before you schedule posts. It’s also why labelled synthetic models are transparent by design—so your approval process is consistent even when you scale beyond a single shoot.

For still images, RAWSHOT prices per image generation and completes in about 30–40 seconds. Tokens never expire, and if a generation fails, your tokens are refunded so iteration stays practical.

That makes outfit experimentation easier for ecommerce teams that need variant coverage—different lighting, framing, or aspect ratios—without building a complicated forecasting model. You can also cancel in one click on the pricing page, and every output keeps full commercial rights for permanent worldwide use.

Yes. RAWSHOT supports a browser GUI for single OOTD shoots and a REST API for catalog-scale pipelines, so you can batch-generate imagery by SKU and publish on a schedule.

This matters when you need repeatable outputs for hundreds or thousands of product variants, because you can standardize your creative controls instead of relying on human-by-human prompt tuning. Each generated image also carries signed provenance and watermarking cues that help operations keep quality and attribution consistent.

Scale by separating roles through the interface: buyers or editors can direct a shoot via the GUI controls, while production teams can run the same direction through the REST API for nightly or on-demand batches. The key is that the garment is always the brief and the creative settings are explicit controls rather than ad hoc text.

When you save a model and reuse it across SKUs, you keep face and body consistency across the catalog, reducing drift and retakes. With labelled, C2PA-signed outputs, full commercial rights, and signed audit trails per image, teams can approve faster and publish with clearer provenance.