Direct your next catalog or campaign with the Keychain AI On-model 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 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.

You get repeatable on-model imagery where teams control camera direction, framing, pose, lighting, and visual style without reworking text every run. That means fewer cycles of “close enough” because you’re not asking a model to interpret an ambiguous request; you’re selecting settings.

RAWSHOT’s garment-led control keeps cut, color, pattern, logo, and drape aligned to your product while you generate variants. Each output includes C2PA-signed provenance, visible plus cryptographic watermarking cues, and a signed audit trail, which makes QA and publishing workflows cleaner.

Because reshoots are the hidden tax: scheduling, shipping, studio days, and retakes when results don’t match prior season consistency. With RAWSHOT, you keep the same garment-led setup and generate new variants on demand instead of rebuilding the entire shoot.

You can reuse synthetic model settings across your catalog to reduce face drift between SKUs. Outputs are also transparently labelled and come with full commercial rights that are permanent and worldwide, so marketing and compliance teams stay aligned.

You start in the RAWSHOT UI by selecting lens, framing, pose, angle, lighting, background, mood, and a visual style preset. Then you generate, review, and repeat for the next product variant using the same control set.

This matters for commerce because garment fidelity is tied to product-led direction rather than prompt interpretation. RAWSHOT also supports 2K and 4K exports and every aspect ratio, so the images match storefront requirements without a second conversion step.

Typed prompts introduce variability: the same “idea” can yield different garment details, inconsistent branding, and shifting faces across outputs. That inconsistency forces teams to do extra QA and can cause product drift on PDPs.

With RAWSHOT, you click the settings that define the look and you keep the garment as the brief, so cut, color, pattern, logo placement, and drape remain faithful. You also get per-image audit trail plus C2PA-signed provenance and labelling cues that help teams publish responsibly.

Yes. RAWSHOT outputs include provenance and labelling signals with C2PA-signed records and watermarking cues that support compliance workflows. That means the images carry clear metadata for how they were produced.

On the rights side, you receive full commercial rights to every output, permanent and worldwide. This is designed to remove the “unclear rights” problem that often shows up when teams rely on generic image models without a clean rights story.

Use a simple QA pass focused on product fidelity, model consistency, and export requirements. Confirm the cut, color, pattern, and logo are represented the way your garment design specifies, then verify the framing and aspect ratio match the PDP or campaign slot.

Because each image includes a signed audit trail plus C2PA-signed provenance and watermarking cues, teams can review provenance and labelling confidence quickly. If an output fails generation, RAWSHOT refunds tokens so you can regenerate without losing budget to retries.

For still photos, pricing is straightforward at about ~0.55 per image with roughly 30–40 seconds per generation. Tokens never expire, and failed generations refund tokens, so budgeting stays predictable for commerce pipelines.

If you’re comparing to other formats, video costs more because it uses more tokens per second, and longer clips add token time. For catalog work, this stills pricing maps well to variant generation because you can run consistent per-SKU exports without per-seat gates.

Yes. You can use the browser GUI for single-look work and the REST API for catalog-scale pipelines, keeping the same garment-led creative controls across both. That reduces the “tool mismatch” that often happens when teams prototype in a dashboard and then struggle to operationalize it.

For integration, the value is consistency: you can batch generation for many SKUs, maintain model settings for catalog coherence, and attach outputs with signed provenance and audit trail. Teams can also keep rights and labelling information aligned for internal review.

In the UI, you direct the shoot interactively: you click lens, framing, lighting, background, mood, and visual style presets, then generate and review. For team scale, you keep the same control logic but run it through the REST API so catalogs can update reliably without hand-editing prompts.

In both cases, you benefit from stable garment-led fidelity, C2PA-signed provenance, and watermarking cues that make publishing faster and more defensible. If you’re coordinating multiple roles, designers and operators can stay aligned because the workflow is app-based rather than prompt-based.