Next live webinar: See Rawshot in Action: Live AI Fashion Photoshoot Demo
Rawshot.ai

Campaign · Editorial · 150+ styles · 4K ready

Direct campaign-ready fashion imagery with the AI Luxury Campaign Generator.

You click to direct every camera, framing, light, and product focus—no typed prompts. Generate consistent, brand-faithful looks with C2PA-signed provenance and permanent commercial rights. No studio days. No samples. No prompting.

  • ~$0.55 per image
  • ~30–40s per generation
  • 150+ styles
  • 2K or 4K
  • Full commercial rights
  • C2PA-signed provenance

7-day free trial • 50 tokens (10 images) • Cancel anytime

On-model campaign imagery directed from the garment.
Solution
Try it — every setting is a click
Locked camera, luxury campaign look
4:5

Direct the shoot. Zero prompts.

Select the lens, framing, lighting, and visual style preset for a luxury editorial campaign. RAWSHOT locks the garment-led brief into controls you can adjust instantly—then you generate. 5 tokens · ~34s per image

  • 6 clicks · 0 keystrokes
  • app.rawshot.ai / new_shoot
Image Composition
app.rawshot.ai / new_shoot
Mood
Pose
Camera angle
Lens
Framing
Lighting
Background
Resolution
Aspect ratio
Visual style
Product focus
4:5 · 4K · Half body
Generate

How it works

Click-driven campaign direction, garment-first.

Build editorial imagery with real garment fidelity using UI controls, then generate labelled outputs with signed provenance for publishing.

  1. Step 01

    Click the garment-led look

    Upload or select your real garment, then drive the creative with buttons, sliders, and presets for camera, lighting, and product focus. Nothing is typed; every setting stays in the interface.

  2. Step 02

    Tune editorial framing and style

    Pick your lens, aspect ratio, resolution, and an editorial visual style preset. You can keep the same model and direction while iterating variants across campaign boards.

  3. Step 03

    Generate, label, and export for use

    Generate the images and keep the signed provenance metadata with visible and cryptographic watermarking. Each output ships with clear AI labelling and full commercial rights, ready for production workflows.

Spec sheet

Twelve proof surfaces for luxury campaigns

From garment fidelity to signed provenance and REST-scale workflows, these tiles show what your team gets when you click—not prompt.

  1. 01

    No-likeness by design

    RAWSHOT synthetic models use 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design, and every output is transparently labelled.

  2. 02

    Click-driven, no prompts

    Every creative decision is a UI control: lens, distance, framing, pose, facial expression, background, light, and visual style. You direct the shoot with clicks and sliders, not typed instructions.

  3. 03

    Garment fidelity stays intact

    Cut, colour, pattern, logos, and fabric drape are represented faithfully. The garment is the brief, so the look you style is the look RAWSHOT generates.

  4. 04

    Diverse synthetic models

    Choose from diverse synthetic models transparently labelled for editorial and campaign needs. You get on-model variation without swapping between inconsistent real likenesses.

  5. 05

    SKU consistency across outputs

    Keep the same synthetic model face and body direction across your campaign variants. The result is consistent brand presentation instead of per-generation drift.

  6. 06

    150+ luxury visual styles

    Switch between catalog clean, lifestyle warmth, editorial lighting, campaign gloss, noir, and more. Build coherent boards that match your brand’s art direction from one interface.

  7. 07

    2K/4K clarity in every ratio

    Generate at 2K or 4K with every common aspect ratio for web, socials, and print-ready crops. Frame flexibility supports full looks, close-ups, and details.

  8. 08

    Compliance with signed provenance

    Outputs are C2PA-signed and include AI labelling. RAWSHOT is designed to align with EU AI Act Article 50 (effective 2 Aug 2026) and California SB 942, alongside GDPR compliance.

  9. 09

    Per-image audit trail

    Each generation carries a signed audit trail per image so teams can trace outputs through reviews. Publish with confidence because the provenance is part of the delivery.

  10. 10

    GUI and REST API together

    Run a single campaign shoot in the browser GUI, or orchestrate catalog-scale batch generation via REST API. The same controls and output rules apply across both modes.

  11. 11

    Pricing with fast turnarounds

    Photos generate in about 30–40 seconds and cost about ~$0.55 per image. Tokens never expire, and failed generations refund tokens so iteration stays safe.

  12. 12

    Full commercial rights, permanent

    You receive full commercial rights to every output, permanent and worldwide. Keep provenance and watermarking intact while using images across campaigns and ecommerce.

Outputs

Editorial & campaign-ready outputs Click to direct. Generate to publish.

A small set of campaign-style examples showing the range of editorial lighting, framing, and visual direction you can drive from RAWSHOT’s garment-led controls.

ai luxury campaign generator 1
Campaign board
ai luxury campaign generator 2
Editorial close-up
ai luxury campaign generator 3
Lookbook cutaway
ai luxury campaign generator 4
Studio-to-street

Browse 150+ visual styles →

Comparison

RAWSHOT vs category tools vs DIY prompting

Three lenses on every dimension — what you optimize for in RAWSHOT versus typical category tools and blank-box AI workflows.

  1. 01

    Interface

    RAWSHOT

    Click-driven controls for lens, framing, lighting, style, and pose.

    Category tools + DIY

    Shorter controls and less direct creative control behind AI workflows. DIY prompting: Typed prompts with prompt syntax overhead and fragile settings.
  2. 02

    Garment fidelity

    RAWSHOT

    Garment-led brief keeps cut, colour, pattern, and drape faithful.

    Category tools + DIY

    Greater risk of look deformation and product drift between runs. DIY prompting: High chance of garment drift and misinterpretation of details.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Same model direction across variants to keep faces and body cues stable.

    Category tools + DIY

    Model switching can cause inconsistent faces across SKU sets. DIY prompting: Different generations often change the face and overall likeness.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance with visible and cryptographic watermarking.

    Category tools + DIY

    Often lacks signed provenance, clear labelling, and auditability. DIY prompting: Missing provenance metadata and unclear labelling for compliance.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights to every output, permanent and worldwide.

    Category tools + DIY

    Rights are often unclear or gated by tool terms and versions. DIY prompting: Rights and usage clarity vary by model and generation context.
  6. 06

    Iteration speed per variant

    RAWSHOT

    30–40s per image with safe refund rules for failed generations.

    Category tools + DIY

    Iteration can be slower and less predictable under prompt workflows. DIY prompting: Prompt troubleshooting costs time before you get usable outputs.
  7. 07

    Pricing transparency

    RAWSHOT

    ~$0.55 per image, token economy, tokens never expire.

    Category tools + DIY

    Per-seat pricing and volume tiers that penalize growth. DIY prompting: No clear per-output price control and extra iteration burn.
  8. 08

    Catalog API

    RAWSHOT

    REST API enables catalog-scale pipelines alongside the GUI.

    Category tools + DIY

    Catalog automation often lacks a consistent control surface. DIY prompting: DIY prompting doesn’t map cleanly to repeatable catalog pipelines.

Prompting does not scale

Stop writing essays. Direct the shoot.

Most AI photo tools start with a blank text box. Rawshot turns the shoot into repeatable controls, so creative teams can produce consistent fashion imagery without prompt syntax or one-off hacks.

Category norm

Manual
Prompt box

Create a premium editorial fashion photograph of a model wearing the exact navy oversized wool coat from SKU-1842, full-body crop, realistic hands, consistent facial identity, clean e-commerce lighting, subtle Paris street background, 85mm lens, no logo distortion, no fabric hallucination, same pose as last campaign, repeatable for all colorways...

Needs prompt engineering
Breaks across SKUs
Hard to repeat

A prompt can describe one image. It cannot become a shared production system for hundreds of products, models, angles and markets.

Rawshot

Clicks

Saved shoot recipe

Apply to 1 SKU or 10,000 via GUI, CSV or REST API.

Scale
Preset-driven shoots anyone can repeat
Same model, pose and styling across a catalog
GUI for teams, API for production volume

Rawshot makes creative direction visible: buttons, presets and sliders instead of hidden prompt craft. The result is easier to teach, faster to approve and built for repeat production.

Use cases

Campaign boards, without prompt roulette

Operator archetypes and how click-directed, garment-first output fits the way they actually work.

  1. 01

    Campaign creative producer

    Click through editorial lighting and framing presets to build a cohesive luxury campaign board for approvals.

    Confidence · high

  2. 02

    Indie DTC designer

    Generate on-model campaign imagery for a new drop without waiting for studio availability or samples.

    Confidence · high

  3. 03

    Catalog merchandiser

    Keep model direction stable while generating consistent product variants for a large ecommerce catalog.

    Confidence · high

  4. 04

    Influencer brand lead

    Match campaign aspect ratios and visual styles so the brand face stays consistent across platform crops.

    Confidence · high

  5. 05

    Studio manager on demand

    Use the same controls to generate lookbook and campaign angles quickly when briefs change mid-season.

    Confidence · high

  6. 06

    Resale marketplace curator

    Create clean campaign-style imagery for curated items while maintaining garment-led fidelity and clear labelling.

    Confidence · high

  7. 07

    Adaptive fashion line operator

    Select visual style and framing options to present garments respectfully and consistently across updates.

    Confidence · high

  8. 08

    Factory-direct manufacturer

    Batch-generate SKU images for seasonal launches using REST API while keeping output consistent.

    Confidence · high

  9. 09

    Jewelry and accessories DTC

    Direct close-ups and detail frames for accessories with controlled lighting and campaign-ready visual styling.

    Confidence · high

  10. 10

    Kidswear ecommerce operator

    Generate campaign imagery with consistent garment representation for quick seasonal updates across SKUs.

    Confidence · high

  11. 11

    Adaptive lingerie and intimates team

    Create on-model campaign visuals with clear provenance and permanent commercial rights for marketing.

    Confidence · high

  12. 12

    Brand student portfolio builder

    Build a real campaign portfolio with repeatable on-model results without learning prompt syntax.

    Confidence · high

— Principle

Honest is better than perfect.

Your outputs arrive C2PA-signed, watermarked, and AI-labelled with a per-image signed audit trail. That means campaign teams can publish with clear provenance and traceability, aligned with EU AI Act Article 50 and California SB 942 expectations while staying GDPR compliant.

RAWSHOT · Editorial

Rights & provenance

Full commercial rights. Forever.

  • C2PA-signed on every image — EU AI Act Article 50 compliant
  • 28-attribute synthetic models — real-person likeness statistically impossible
  • Full commercial rights to every generation — no recurring licensing fees
  • Tokens never expire · One-click cancel · Transparent pricing

EU AI Act

C2PA

Commercial use

Pricing

~$0.55 per image.

~30–40 seconds per generation. Tokens never expire. Cancel in one click.

  • 01The cancel button is on the pricing page.
  • 02No per-seat gates. No 'contact sales' walls for core features.
  • 03Failed generations refund their tokens.
  • 04Full commercial rights to every output, permanent, worldwide.

FAQ

Practical answers on control, rights, pricing, scale, and compliant publishing.

Do I need to write prompts to use RAWSHOT?

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. RAWSHOT is built to keep your fashion decisions inside the application, so your workflow doesn’t turn into prompt debugging.

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.

What does AI-assisted fashion photography change for SKU-scale catalogs?

It changes the workflow from reshooting per SKU to generating campaign-ready imagery in a controlled, repeatable process. You keep the garment-led brief consistent while you iterate lighting, framing, and visual styles for ecommerce and marketing use.

RAWSHOT’s controls map directly to fashion production needs—lens choice, aspect ratio, resolution, and product focus—so you can scale from a single editorial test to batch generation through the REST API without losing creative intent.

Why skip reshooting every SKU for season updates?

Because prompt-free, garment-faithful generation reduces the production bottleneck when your lineup refreshes quickly. Instead of coordinating studio time and shipping samples across borders, you can update campaign imagery as your catalog changes.

RAWSHOT keeps product details like cut, colour, pattern, logos, and fabric drape anchored to the garment, while synthetic models stay labelled and consistent so your catalog stays coherent.

How do we turn flat garments into catalogue-ready imagery without prompting?

You upload the real garment and then direct the shoot with the interface controls: choose a visual style preset, lighting setup, framing, and camera lens. The result is on-model imagery aligned to your product brief, not a new invention created from free text.

From flat-lay framing to close-ups, the controls let teams preview variations quickly while preserving garment fidelity and the same output rules across GUI and API.

Why does garment-led control beat prompt roulette for fashion PDPs?

Because prompt-based tools often produce unpredictable product changes, inconsistent faces across outputs, and unclear rights. When you’re building PDPs, that inconsistency forces extra retakes and extra review time.

With RAWSHOT, you click and adjust within a garment-faithful system, and the outputs come with C2PA-signed provenance, watermarking, AI labelling, and full commercial rights so approvals are faster and cleaner.

Will the outputs have clear licensing and attribution info for compliance reviews?

Yes. RAWSHOT outputs are delivered with AI labelling and C2PA-signed provenance metadata, plus visible and cryptographic watermarking for traceability. Your compliance review can rely on the signed audit trail attached per image, not guesswork.

And licensing is straightforward: full commercial rights to every output, permanent and worldwide, so marketing teams can publish without unclear usage interpretation.

What checks should our team run before we publish campaign imagery?

Start by verifying garment fidelity against the real product: colour, pattern placement, logo shape, and fabric drape. Then confirm visual direction—lighting, framing, aspect ratio, and resolution—matches the campaign brief.

RAWSHOT supports this with repeatable controls and labelled outputs. Your production workflow can also verify provenance through C2PA signing and the per-image audit trail before you approve for ecommerce and ads.

How do pricing and token rules work for photo generations?

For photos, generation is priced per image at about ~$0.55, typically taking ~30–40 seconds per generation. Tokens never expire, so your workflow isn’t tied to an expiring quota window.

If a generation fails, tokens are refunded. That makes iteration safer for teams running many campaign variants, where fast decisions matter more than one-off experimentation.

Can this fit into our catalog pipeline, or is it only for single shoots?

It fits both. You can direct a single campaign shoot inside the browser GUI, and you can also run catalog-scale pipelines through the REST API for batch generation.

The key is consistency: the same garment-led controls and output rules apply across both surfaces, so your art direction doesn’t reset every time you scale.

How do we scale throughput when multiple team roles need different outputs?

Separate roles by workflow surface. Creative teams can iterate quickly in the GUI for campaign boards, while ops teams run repeatable batches via the REST API for SKU coverage and platform-specific crops.

Because outputs are labelled with signed provenance and delivered with full commercial rights, approvals stay predictable, and the same direction controls help teams avoid drift across variants.