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Rawshot.ai

Campaign · Editorial · 150+ visual styles · 4K

Direct your campaign with the AI Ad Campaign Generator, click by click.

Photograph your garments for ads with studio-quality output—without studio days or reshoots. Choose camera, framing, pose, lighting, background, and visual style in a real application interface, then generate. Zero prompting and no prompt syntax to learn—just the product, the controls, and the proof.

  • ~$0.55 per image
  • ~30–40s per generation
  • 150+ styles
  • 2K and 4K
  • Every aspect ratio
  • Full commercial rights

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

Campaign-ready on-model imagery from your real garment
Solution
Try it — every setting is a click
Click, adjust, generate the ad
4:5

Direct the shoot. Zero prompts.

Pick your lens, framing, lighting, and campaign mood from fixed presets. Then click Generate to render on-model campaign imagery that stays faithful to your garment—no text entry required. 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 the look. Generate campaign imagery.

Choose fixed presets and sliders for camera, framing, and style, then render on-model ads without prompt entry or retouch-heavy reshoots.

  1. Step 01

    Set the campaign controls

    Select lens, framing, pose, angle, lighting, background, mood, and a visual preset. Every setting is a click—your garment stays the brief.

  2. Step 02

    Generate with garment-led consistency

    Run the shoot in the browser GUI and keep the same model look across variants. You iterate on composition without prompt roulette or product drift.

  3. Step 03

    Publish with provenance and rights

    Download labeled, watermarked outputs with a signed audit trail per image. Use the results commercially, worldwide, with a clean attribution story for ad teams.

Spec sheet

Twelve proof surfaces for campaign shoots

From no-likeness design to signed provenance and REST scale, these tiles show what your ad team can trust in every output.

  1. 01

    No-likeness by design

    Models are synthetic composites built from 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design, and outputs stay transparently labeled.

  2. 02

    Click-driven, zero prompts

    Camera, angle, distance, framing, pose, facial expression, lighting, background, product focus, and style are all controls. You never type a prompt; you direct the shoot.

  3. 03

    Garment fidelity you can verify

    Cut, color, pattern, logo placement, fabric look, drape, and proportions are represented faithfully. RAWSHOT is engineered around the real product, not bent around text.

  4. 04

    Synthetic, diverse models

    A transparent set of diverse synthetic models supports campaign looks across body types. You get consistent aesthetics without relying on ad-stock or unrelated stock photos.

  5. 05

    SKU consistency across variants

    Save and reuse the same model for repeated SKUs so faces and body presentation stay consistent. No drift between shoots, so your catalog and campaign art direction stays coherent.

  6. 06

    150+ editorial and campaign styles

    Select from presets spanning catalog, lifestyle, editorial, campaign, street, Y2K, noir, and more. Swap styles to match season, platform, or creative direction while keeping the garment faithful.

  7. 07

    2K/4K, every aspect ratio

    Generate campaign outputs in 2K or 4K with full control over aspect ratio. Use square, portrait, and widescreen formats without losing ad-ready framing clarity.

  8. 08

    Compliance and signed provenance

    Outputs include C2PA-signed provenance and AI labeling. EU AI Act Article 50 and California SB 942 compliance are supported through honest, traceable metadata.

  9. 09

    Signed audit trail per image

    Every generated image carries a signed audit trail that supports operational verification. Your team gets attribution-ready files without chasing file logs across tools.

  10. 10

    GUI for shoots, REST API for pipelines

    Run one-off campaign generations in the browser GUI, or scale catalog work through the REST API. Same garment-led controls; same output behavior across workflows.

  11. 11

    Speed with transparent token pricing

    Get ~30–40 seconds per image generation with flat, per-image pricing. Tokens never expire, failed generations refund tokens, and you can cancel in one click.

  12. 12

    Full commercial rights, worldwide

    You receive full commercial rights to every output, permanent and worldwide. Keep campaign assets usable without licensing confusion or unclear reuse terms.

Outputs

Campaign-ready outputs, labeled and ready to ship Editorial lighting with garment-led control

Browse a curated set of campaign variations—composition, style, and aspect ratios—backed by signed provenance and full commercial rights.

ai ad campaign generator 1
Campaign hero
ai ad campaign generator 2
Editorial close-up
ai ad campaign generator 3
Alt aspect ratio
ai ad campaign generator 4
Style variant

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 every creative decision—no text entry.

    Category tools + DIY

    Shorter controls, chatbot-style inputs, and limited art-direction controls. DIY prompting: Typed prompts and trial-and-error phrasing before anything usable appears.
  2. 02

    Garment fidelity

    RAWSHOT

    Cut, color, pattern, logo, fabric, and drape stay faithful to the garment.

    Category tools + DIY

    Garment details often soften or reinterpret under generic AI behavior. DIY prompting: Garment drift: the product mutates between outputs when phrasing changes.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Same face and presentation can be reused across variants to prevent drift.

    Category tools + DIY

    Faces and bodies can vary run-to-run without catalog consistency controls. DIY prompting: Inconsistent faces across generations—no reliable repeatability for ads.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance and AI labeling with a signed audit trail per image.

    Category tools + DIY

    No cryptographic record or labelling story for compliance workflows. DIY prompting: Missing provenance metadata, making attribution and QA harder.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights, permanent, worldwide—framed clearly for ad teams.

    Category tools + DIY

    Rights can be unclear or constrained by tool-specific terms. DIY prompting: Unclear rights for commercial reuse because outputs aren’t provenance-tracked.
  6. 06

    Iteration speed per variant

    RAWSHOT

    Generate quickly with fixed presets, then refine via controls.

    Category tools + DIY

    Iterations require more manual re-typing or rerolling to regain alignment. DIY prompting: Prompt-engineering overhead slows iteration and increases rerolls.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat per-image pricing with token rules: tokens never expire and failed runs refund.

    Category tools + DIY

    Per-seat gates and unclear volume tiers that punish growth. DIY prompting: Costs accrue from many attempts and retries without predictable unit pricing.
  8. 08

    Catalog API

    RAWSHOT

    GUI for single shoots plus REST API for catalog-scale production.

    Category tools + DIY

    Often limited to interactive usage; scaling requires custom workarounds. DIY prompting: Batch pipelines are unstable because typed prompts don’t guarantee repeatability.

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

On-model campaign work for every operator

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

  1. 01

    Indie brand founder

    You click a campaign preset, adjust framing and lighting, and generate ads for your next drop without booking studio time.

    Confidence · high

  2. 02

    DTC marketer

    You keep the same model look while iterating styles and aspect ratios, so every platform cut stays consistent for launch week.

    Confidence · high

  3. 03

    Crowdfunding creator

    You generate on-model visuals for pitch updates from your real garment files, then reuse the saved model for follow-on rewards.

    Confidence · high

  4. 04

    Kidswear studio lead

    You direct close-ups and full outfits with editorial mood presets, creating clean ad imagery while maintaining SKU continuity.

    Confidence · high

  5. 05

    Adaptive fashion line operator

    You choose garment-led framing and backgrounds that fit your product story, then generate campaign-ready sets with labeled provenance.

    Confidence · high

  6. 06

    Lingerie DTC merchandiser

    You select detail framings and visual styles, building a campaign library that matches your brand direction without prompt drift.

    Confidence · high

  7. 07

    Resale and vintage marketplace seller

    You create consistent campaign assets for newly added inventory by reusing the same saved model across listings.

    Confidence · high

  8. 08

    Factory-direct manufacturer

    You run a nightly production pipeline through the REST API, producing on-model campaign imagery without retakes between SKUs.

    Confidence · high

  9. 09

    Student fashion producer

    You learn art direction through buttons and presets—direct the shoot, generate 2K/4K outputs, and publish with a clear provenance trail.

    Confidence · high

  10. 10

    Ecommerce PDP operator

    You refresh hero visuals quickly by swapping style presets and aspect ratios while keeping garment fidelity intact for product pages.

    Confidence · high

  11. 11

    Marketplace brand manager

    You batch-generate consistent campaign sets across a catalog, then export ready-to-publish files with full commercial rights.

    Confidence · high

  12. 12

    Catalog creative director

    You standardize lighting and composition across campaigns, using the GUI for creative review and the REST API for scale.

    Confidence · high

— Principle

Honest is better than perfect.

RAWSHOT outputs are C2PA-signed with AI labeling and a signed audit trail per image, so your ad workflows keep provenance intact. Compliance is part of the product experience, not a side document—helping teams publish campaign visuals with clear attribution and traceability.

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, REST surface, and SKU-scale batch patterns explicit so operations can rehearse PDP launches without hallucinated garment inventions.

What changes for an ad campaign team when images are garment-led instead of prompt-led?

You get campaign assets that stay anchored to the actual garment—cut, color, pattern, logos, fabric look, and drape—so your creative direction doesn’t collapse into “close enough.” In practice, your team spends time selecting composition (framing, pose, lighting, visual style) instead of correcting product mutations between iterations.

With RAWSHOT, you click to direct the shoot and generate directly from the garment inputs, then keep outputs consistent for repeated SKUs by saving and reusing the same model. The result is faster creative iteration with fewer QA surprises and a cleaner ad-ops workflow.

Why skip reshooting every SKU for season updates?

Because traditional reshoots lock your timeline to sample shipping, studio days, and photographer availability—exactly what breaks when you need frequent ad refreshes. With RAWSHOT, you can generate on-model imagery from your real garment without waiting for new sets.

You iterate via the browser GUI controls, and you can scale the same creative directions through the REST API for nightly catalog pipelines. RAWSHOT also ships labeled outputs with signed provenance so your update workflow is audit-ready, not guesswork.

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

RAWSHOT converts your garment into on-model campaign imagery by using fixed controls for camera, framing, pose, lighting, background, mood, and visual style. You never type a request—every creative decision is a UI setting that stays consistent across runs.

That means your team can standardize “campaign hero” composition and then refine only what’s needed—like aspect ratio, detail framing, or editorial lighting—without rerunning everything from scratch. The outputs also include C2PA-signed provenance and a signed audit trail per image.

Why does garment-led control beat prompt roulette for PDPs and ad variants?

Prompt roulette produces inconsistent garment details, unpredictable logos, and shifting faces across outputs—great for experimentation, risky for commercial publishing. Garment-led control keeps the product faithful while you iterate on the marketing variables that matter: framing, lighting, and style.

RAWSHOT also keeps your campaign process reproducible through saved settings and model reuse, so a “hero look” stays consistent across SKUs. You avoid invented branding and “close enough” edits that chew up designer time.

How are RAWSHOT outputs labeled and tracked for commercial use?

Every output includes AI labeling and C2PA-signed provenance metadata, and each image carries a signed audit trail. That gives your team an evidence trail for QA and publishing, without relying on informal documentation.

RAWSHOT also provides full commercial rights to every output, permanent and worldwide, so your ad ops workflow doesn’t get blocked by rights ambiguity. The platform is built for honest attribution: visible and cryptographic watermarking support the provenance story end-to-end.

What QA checks should we run before using generated campaign images in ads?

Run a garment fidelity check (cut, color, pattern, and logo placement), then verify framing and product focus match your intended creative. Next, confirm model presentation consistency for the campaign set, and review the labeled, watermarked output alongside the signed audit trail.

Finally, check format needs for each platform by selecting the correct aspect ratio before you publish. RAWSHOT’s fixed presets help you maintain consistent art direction while you keep compliance and attribution aligned to your publishing requirements.

How does pricing work for an image-heavy ad campaign—what should we budget?

Photo pricing is flat per image, and generation time is predictable: about ~30–40 seconds per generation. Tokens never expire, failed generations refund tokens, and there’s a one-click cancel option on the pricing page.

For budgeting, plan around the per-image unit cost (about ~$0.55 per image for stills) and the number of variants you need across aspect ratios and styles. Video uses more tokens per second than stills, but for campaign photography you can keep costs straightforward and controllable.

Can we integrate RAWSHOT into a catalog pipeline instead of generating one-off images?

Yes. RAWSHOT includes a browser GUI for single-shoot work and a REST API for catalog-scale pipelines, so the same garment-led workflow can power both creative exploration and production runs. This keeps your team’s art direction consistent while automating throughput.

You can batch generate across SKUs without prompt entry and without rebuilding your creative logic each time. Outputs remain labeled and provenance-tracked, which helps operations keep publishing steps aligned with compliance requirements.

What throughput and roles does RAWSHOT support when we scale from one campaign to a whole catalog?

You can split responsibilities cleanly: creatives direct the look in the browser GUI, while ops and engineers run repeatable catalog jobs through the REST API. Because the controls are application-based (not prompt text), teams can standardize presets and reduce revision churn.

At scale, the same model can be saved and reused across SKUs, preventing face drift between campaign sets. Token rules and refund behavior keep production operations predictable, while the labeled and watermarked outputs support publishing at pace.