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Rawshot.ai

On-model imagery · 150+ styles · Editorial-ready

Direct campaign-ready fashion posters with the AI Poster Generator—garment-faithful, click-driven output.

Generate on-model imagery that matches your garment details, with camera, framing, pose, and lighting adjusted via sliders and presets. No prompting. Just the product, the controls, and proof you can publish.

  • ~$0.55 per image
  • ~30–40s per generation
  • Tokens never expire
  • 2K and 4K
  • 150+ visual styles
  • Full commercial rights, permanent, worldwide

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

Campaign poster look, directed by clicks
Solution
Try it — every setting is a click
Editorial poster demo, click-only
4:5

Direct the shoot. Zero prompts.

You start with the preset that fits an editorial campaign poster. Then you click to lock framing, select a lighting system, and adjust the mood while keeping the garment as the brief. 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 to direct editorial posters

Lock camera, framing, lighting, mood, and style presets, then generate publish-ready posters without prompt syntax or guesswork.

  1. Step 01

    Pick the campaign look

    Select framing, pose, and an editorial lighting system. Every creative decision is a click, slider, or preset—built for fashion teams, not chat.

  2. Step 02

    Direct the garment-led composition

    Tune background, mood, and visual style while the garment stays the brief. Cut, color, pattern, logo, and drape are represented faithfully.

  3. Step 03

    Generate, label, and publish

    Export the image with C2PA-signed provenance and visible plus cryptographic watermarking. You get full commercial rights, permanent and worldwide.

Spec sheet

Proof that your poster stays on-brand

Each tile checks one risk surface: UI control, garment fidelity, synthetic model behaviour, and publishing-grade provenance for commerce pipelines.

  1. 01

    No-likeness by design

    RAWSHOT uses synthetic models built from 28 body attributes with 10+ options each, making accidental real-person likeness statistically negligible by design.

  2. 02

    Click-driven, no prompting

    Every creative choice is a button, slider, or preset—camera, framing, pose, expression, light, background, and focus—so you never enter prompt text.

  3. 03

    Garment fidelity first

    The garment is the brief. Cut, colour, pattern, logo, fabric, and drape are represented faithfully so posters match what you sell.

  4. 04

    Diverse synthetic models

    You’ll see labelled synthetic models with transparent presentation. Build campaign imagery with variety while keeping the system honest.

  5. 05

    Consistency across SKUs

    When you reuse the saved model, the face and body stay consistent across your catalog’s poster variants—no drift between updates.

  6. 06

    150+ visual style presets

    Switch between catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more. Your poster look stays intentional across sets.

  7. 07

    2K/4K and every ratio

    Generate in 2K or 4K with every aspect ratio, from campaign-friendly rectangles to vertical placements for modern ad workflows.

  8. 08

    Compliance and AI labelling

    C2PA-signed provenance plus watermarking support, aligned with EU AI Act Article 50 (effective 2 Aug 2026) and California SB 942.

  9. 09

    Signed audit trail per image

    Every output carries a signed audit record so teams can verify origin, handle QA, and keep creative operations traceable.

  10. 10

    GUI and REST API for scale

    Use the browser interface for single campaigns, then run catalog-scale poster pipelines via the REST API—same product controls.

  11. 11

    Fast output, transparent tokens

    Stills generate in ~30–40 seconds per image at about ~$0.55 per image. Tokens never expire and failed generations refund their tokens.

  12. 12

    Full commercial rights, permanent

    Get full commercial rights to every output, permanent and worldwide. Poster publishing is covered without unclear licensing stories.

Outputs

Editorial poster outputs you can trust Publish-ready, labeled, consistent

Poster-style on-model imagery for campaign timelines: click-driven direction, garment-led fidelity, and signed provenance so marketing teams can move fast.

ai poster generator 1
Campaign poster crop
ai poster generator 2
Editorial lighting look
ai poster generator 3
Studio-black backdrop
ai poster generator 4
Style preset variation

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 garment direction with sliders and presets.

    Category tools + DIY

    More limited controls, often require prompt-style input. DIY prompting: You type prompts, then iterate blindly until it looks close.
  2. 02

    Garment fidelity

    RAWSHOT

    Cut, colour, pattern, logo, fabric, drape stay faithful.

    Category tools + DIY

    Garment details can bend around short text cues. DIY prompting: Garment drift between outputs is common without product anchoring.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Saved models keep the same synthetic face and body.

    Category tools + DIY

    Face and body can vary by request or session. DIY prompting: Inconsistent faces across outputs break catalog and campaign continuity.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance with visible plus cryptographic watermarking.

    Category tools + DIY

    Often lacks C2PA records and consistent labelling. DIY prompting: Missing provenance metadata makes approval and auditing harder.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights to every output, permanent, worldwide.

    Category tools + DIY

    Rights messaging is unclear or tiered. DIY prompting: Licensing rules are ambiguous and vary by platform behaviour.
  6. 06

    Iteration speed per variant

    RAWSHOT

    ~30–40 seconds per image with a stable control set.

    Category tools + DIY

    Iteration can be slower and less controllable per variant. DIY prompting: Prompt-engineering overhead delays usable results for each poster crop.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat per-image tokens with refunds for failed generations.

    Category tools + DIY

    Per-seat pricing and volume tiers can punish growth. DIY prompting: Costs are hidden inside experimentation cycles and many failed attempts.
  8. 08

    Catalog API

    RAWSHOT

    REST API for nightly poster pipelines and batch operations.

    Category tools + DIY

    APIs are often limited or gated behind plans. DIY prompting: No reliable, repeatable pipeline for SKU-scale poster output.

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

Editorial campaign posters without poster chaos

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

  1. 01

    Campaign producer building a multi-size poster pack

    You generate the hero poster first, then click through aspect ratios and lighting moods to ship a cohesive set fast.

    Confidence · high

  2. 02

    Brand studio updating seasonal campaign creatives

    You reuse the same saved synthetic model so every new SKU keeps the same campaign face and body across variants.

    Confidence · high

  3. 03

    DTC ecommerce marketer launching paid placements

    You direct framing and product focus for ad-ready crops while keeping garment details intact for PDP and landing pages.

    Confidence · high

  4. 04

    Indie designer making posters for crowdfunding

    You create editorial poster visuals from the actual garment without booking a studio day or chasing samples.

    Confidence · high

  5. 05

    Adaptive fashion team preparing accessible marketing visuals

    You build poster imagery that stays consistent across a collection while using clear, labelled outputs for publishing confidence.

    Confidence · high

  6. 06

    Resale and vintage seller refreshing listings in bulk

    You generate poster-style images per item while avoiding invented branding issues that can happen in generic image tools.

    Confidence · high

  7. 07

    Factory-direct manufacturer preparing wholesale lookbooks

    You run catalog-scale poster generation via REST API so retailers get consistent creatives across many SKUs.

    Confidence · high

  8. 08

    Kidswear label producing seasonal hero posters

    You keep a stable visual direction for each collection so posters look coordinated rather than random between generations.

    Confidence · high

  9. 09

    Lingerie DTC team creating editorial campaigns

    You select close-up and detail framings with controlled lighting so the garment reads clearly in marketing layouts.

    Confidence · high

  10. 10

    Marketplace seller scaling from single listings to a campaign

    You start in the browser GUI for one poster, then repeat the same approach through the API for the next batch.

    Confidence · high

  11. 11

    Agency operator aligning brand look across teams

    You standardize the controls with visual style presets so different teams produce poster sets without losing the brand look.

    Confidence · high

  12. 12

    Student fashion creator iterating lookbook posters

    You experiment with editorial styles and lighting presets quickly while keeping the garment as the brief for each design.

    Confidence · high

— Principle

Honest is better than perfect.

Your outputs carry C2PA-signed provenance and watermarking cues so teams can verify origin, audit reviews, and publish with confidence. This supports EU AI Act Article 50 requirements, plus California SB 942 alignment, while keeping the system transparent for commercial use.

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.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps tokens, timings, refund rules, commercial rights framing, provenance signalling, watermarking cues from this prompt — and SKU-scale batch patterns explicit so operations can rehearse PDP launches without hallucinated garment inventions.

What changes for an ecommerce team when photos are click-driven instead of prompt-led?

You get repeatable creative direction per variant: framing, pose, lighting, background, and style are controlled through the same UI elements every time. That means poster-ready imagery stays consistent across campaign refreshes, while QA can focus on garment fidelity rather than prompt guesswork.

In practice, you lock the composition with preset style and camera options, then generate in ~30–40 seconds per image with flat token pricing. Outputs include signed provenance and watermarking so marketing can review confidently before publishing.

Why skip reshooting every SKU for seasonal updates?

Because each reshoot reintroduces variability—lighting shifts, model changes, and retakes that slow your calendar. With RAWSHOT, you reuse the same saved synthetic model and click through poster variations while keeping the garment faithful to the brief.

That workflow reduces churn between seasonal drops: you generate a consistent set for campaigns and placements without waiting for studio schedules or shipping samples. The result is faster iteration without sacrificing publishing-grade traceability and rights clarity.

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

Use the RAWSHOT controls that map directly to fashion production decisions: select lens, framing, angle, pose, lighting, background, and mood via UI presets. You’re not describing a scene in text; you’re directing the shoot with application controls while the garment stays anchored.

Once the look is dialed, generate and review the on-model result with labelled outputs and C2PA-signed provenance. For catalog workflows, you can repeat the same control set through the REST API to keep posters aligned across many SKUs.

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

Prompt-led tools often bend product details around the request, which creates garment drift and unexpected changes across outputs. RAWSHOT is engineered around the garment, so cut, colour, pattern, logo, fabric, and drape are represented faithfully for each generation.

That reliability matters when you need posters that match your merchandising system. You also get consistent synthetic model behaviour and signed audit trail per image, which helps teams approve content faster.

What licensing and rights do we get for poster outputs used in ads?

Every RAWSHOT output comes with full commercial rights that are permanent and worldwide. The rights story is explicit, so teams can design posters for campaigns, PDP placements, and ad creatives without ambiguous licensing back-and-forth.

Because outputs include provenance and watermarking support, you also maintain clear documentation for review and auditing. If a generation fails, tokens refund, so experimentation doesn’t turn into surprise costs.

How can we verify an output’s provenance before publishing posters?

Check for signed provenance and labelling baked into each RAWSHOT output. You’ll see C2PA-signed records and watermarking support (visible plus cryptographic cues) so your approval workflow has a reliable signal.

RAWSHOT also keeps a signed audit trail per image, which helps operations track what was generated and when. This is particularly useful when marketing collaborates with product and legal during campaign rollouts.

Do token costs stay predictable when we generate poster variants in volume?

Yes. Stills run on a clear per-image token model at roughly ~$0.55 per image, and each image takes about ~30–40 seconds per generation. Tokens never expire, so you can plan batches around your internal release schedule.

If a generation fails, tokens refund, which reduces wasted spend during QA. You also get flat pricing without per-seat gates, so teams can expand production without a complicated plan change.

Can we connect RAWSHOT to our existing workflow for catalog-scale posters?

Yes. RAWSHOT supports a REST API so you can generate poster imagery through catalog-scale pipelines instead of only manual browser shoots. The same garment-led controls apply in both the GUI and the API, so creative consistency doesn’t depend on who clicks what.

This fits operations that already run product feeds, store inventory changes, and publish on schedule. Your outputs remain labelled and provenance-ready, so downstream systems can track content without extra manual paperwork.

How do the UI and API differ when a brand moves from one campaign poster to many SKUs?

The UI is for directing a single shoot quickly—dial in framing, lighting, mood, and style with click-driven controls. The REST API is for repeating that direction across many SKUs, producing a consistent poster set without manual retakes or re-approvals for every item.

Team roles benefit from that split: designers can finalize the creative direction in the browser, then production can run the same approach in batches. Both paths keep the output labelled, watermarked, and rights-ready for commercial publishing.