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Rawshot.ai

Campaign · Editorial lighting · 4K-ready

Direct your next holiday drop with the AI New Year Campaign Generator.

Generate campaign-ready fashion imagery with buttoned controls, not typed prompts. Click your lens, framing, light, mood, and product focus—then generate. No studio days and no prompt syntax to learn; just the garment and the proof.

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

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

A New Year campaign look, directed by clicks.
Solution
Try it — every setting is a click
Campaign gloss, clean backdrop
4:5

Direct the shoot. Zero prompts.

Select lens, framing, lighting, and a campaign mood from presets. The interface locks creative intent to the garment—no text fields, no prompt writing—then you generate the shot. 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-faithful outputs

Build a cohesive New Year look with presets and controls, then generate with provenance and commercial rights baked into each output.

  1. Step 01

    Choose the creative controls

    In the RAWSHOT GUI, you click lens, framing, pose, lighting, background, mood, and visual style. Every setting is a control, so your campaign direction stays precise and repeatable.

  2. Step 02

    Generate on the garment

    You generate the shot against the real product configuration, not a text description. The garment is the brief, so cut, color, pattern, logo, fabric, and drape are represented faithfully.

  3. Step 03

    Label, save, and reuse

    Outputs include C2PA-signed provenance and watermarking for clear attribution. Save the model when needed for SKU consistency, then scale with the REST API or run another browser shoot.

Spec sheet

Proof that campaign direction stays controlled

Each proof tile answers one question: are your garments respected, your models consistent, your outputs labelled, and your pipeline shippable for ecommerce and campaigns?

  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 are transparently labelled.

  2. 02

    Zero prompts in the GUI

    Every creative decision is a button, slider, or preset. You direct the shoot by selecting controls for camera, angle, framing, lighting, mood, and product focus.

  3. 03

    Garment fidelity first

    RAWSHOT is engineered around real garments, so cut, color, pattern, logo, fabric, and drape are represented faithfully. Your product remains the brief, not a suggestion.

  4. 04

    Synthetic models that stay diverse

    You can generate across diverse synthetic models while keeping attribution clear. Outputs are designed for fashion teams that need variety without shifting into prompt roulette.

  5. 05

    Consistent faces across SKUs

    Save a model once and reuse it across your catalog so your face and body stay consistent. This prevents the retake loop caused by drifting outputs between variants.

  6. 06

    150+ campaign-ready visual styles

    Switch between catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more. Your New Year creative can match seasonal art direction without rebuilding the shoot.

  7. 07

    Resolution, ratio, and framing coverage

    Generate 2K and 4K stills with every aspect ratio you need for seasonal placements. Use full-body, half-body, close-up, detail, or flat-lay framing.

  8. 08

    Compliance with signed provenance

    Outputs carry C2PA-signed provenance metadata and are watermarked visibly and cryptographically. RAWSHOT is designed to meet EU AI Act Article 50 and California SB 942 requirements.

  9. 09

    A signed audit trail per image

    Each output includes a signed audit trail so teams can trace what was generated. This makes handoff to legal, marketing ops, and catalog governance straightforward.

  10. 10

    GUI for shoots, REST API for scale

    Work in the browser GUI for single looks, then switch to REST API for catalog-scale pipelines. Same engine, same controls mindset, one workflow surface.

  11. 11

    Speed with transparent economics

    Photo generation runs around ~30–40 seconds per image with token pricing. Tokens never expire, failed generations refund tokens, and cancel is one click away.

  12. 12

    Commercial rights, permanent worldwide

    Full commercial rights come with every output, permanent and worldwide. Your campaign imagery ships with a clean rights story for production and publishing.

Outputs

Campaign outputs you can publish Labelled. Watermarked. Rights-ready.

Browse a small set of New Year-style outputs built with click-driven controls, then pick the look direction for your next seasonal drop.

ai new year campaign generator 1
Clean campaign (4:5)
ai new year campaign generator 2
Editorial drama (16:9)
ai new year campaign generator 3
Luxe studio (1:1)
ai new year campaign generator 4
Noir night (9:16)

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 fields.

    Category tools + DIY

    Shorter/weaker controls with prompt-style steps and less direction. DIY prompting: Typed prompts that require syntax and ongoing prompt iteration.
  2. 02

    Garment fidelity

    RAWSHOT

    Garment-led generation keeps cut, color, pattern, logo, drape faithful.

    Category tools + DIY

    Weaker garment accuracy; product details can drift between outputs. DIY prompting: Garment drift is common when the model interprets a textual brief.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Save a model and reuse it for consistent faces across variants.

    Category tools + DIY

    Inconsistent faces and shifting subject interpretation between runs. DIY prompting: Inconsistent faces across outputs; no catalog-level control guarantees.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance plus visible and cryptographic watermarking.

    Category tools + DIY

    Often lacks signed provenance and consistent watermark/label strategy. DIY prompting: Missing provenance metadata, making internal approval harder.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights, permanent and worldwide, attached to outputs.

    Category tools + DIY

    Unclear rights story and varying licensing terms by output. DIY prompting: Unclear usage rights and no clean commercial-rights framing.
  6. 06

    Iteration speed per variant

    RAWSHOT

    Generate per variant in the same session with reusable settings.

    Category tools + DIY

    More time spent correcting outputs due to less garment control. DIY prompting: Prompt-engineering overhead slows iteration, especially per SKU.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat per-image pricing with tokens that never expire and refunds.

    Category tools + DIY

    Per-seat pricing and volume tiers that punish growth. DIY prompting: Costs vary unpredictably based on prompt trials and reruns.

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

Seasonal campaign production without retakes

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

  1. 01

    Indie designer launching a holiday capsule

    You build a seasonal campaign set in the browser: choose the look, lens, and lighting mood, then generate a cohesive lineup without studio scheduling.

    Confidence · high

  2. 02

    DTC brand updating New Year ads weekly

    You reuse the same model for product-led shots across multiple SKUs so your campaign visuals stay consistent while you publish to every placement.

    Confidence · high

  3. 03

    Crowdfunding creator building stretch goals fast

    You direct the shoot with presets and generate on-demand assets when backers unlock new colorways, without shipping samples cross-continent.

    Confidence · high

  4. 04

    Kidswear label planning seasonal collections

    You generate half-body and close-up angles for multiple outfits while keeping a controlled art direction and clear provenance for internal approvals.

    Confidence · high

  5. 05

    Adaptive fashion line with reliable representation

    You select consistent framing and product focus to produce campaign-ready imagery while keeping garment fidelity as the brief.

    Confidence · high

  6. 06

    Lingerie DTC producing lingerie PDP visuals

    You generate a repeatable set of close-ups and full-outfit compositions with controlled mood and studio lighting for product pages.

    Confidence · high

  7. 07

    Resale and vintage seller rebuilding listings

    You refresh marketplace imagery quickly from the same creative direction, reducing the mismatch between listing photos and catalog visuals.

    Confidence · high

  8. 08

    Factory-direct manufacturer preparing seasonal SKU drops

    You run REST API batches for thousands of variants overnight, keeping the same model and campaign style across your nightly pipeline.

    Confidence · high

  9. 09

    Makers preparing editorial-style lookbooks

    You pick an editorial lighting preset and visual style, generate multiple compositions, then save the best direction for future seasonal edits.

    Confidence · high

  10. 10

    Marketplace seller standardizing brand presentation

    You generate consistent campaign assets for multiple sellers’ SKUs by keeping garment fidelity and label/watermark proof consistent.

    Confidence · high

  11. 11

    Student or freelancer producing client-ready assets

    You deliver campaign imagery using click-driven controls and a clean rights/provenance story, without learning prompt syntax.

    Confidence · high

  12. 12

    Ecommerce catalog team aligning product and campaign art

    You connect campaign imagery to SKU consistency by saving models and iterating per variant without face drift between shoots.

    Confidence · high

— Principle

Honest is better than perfect.

Seasonal campaigns need trust, not guesswork. RAWSHOT attaches C2PA-signed provenance metadata and watermarking (visible plus cryptographic) to your outputs, and the system is designed with EU AI Act Article 50 and California SB 942 requirements in mind. Use that traceability to streamline marketing approvals and publish with confidence.

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 does click-driven garment direction change for a seasonal campaign team?

It turns your campaign direction into repeatable production settings you can reuse across looks and SKUs. Instead of guessing how an image model interprets a textual brief, you select lens, framing, lighting, mood, background, and visual style as controls.

Because the garment is the brief, the product configuration stays faithful across generations. That means less cleanup in post, fewer reshoots, and a consistent look you can publish across ads, OOTD, and product pages.

Why skip reshooting every SKU for New Year updates?

Reshooting takes calendar time, studio bookings, and shipping logistics—then you still risk inconsistency between sets. With RAWSHOT, you generate new campaign imagery directly for each SKU variant from the same controlled direction.

You can keep models consistent across the catalog and iterate on seasonal art direction by switching presets rather than rebuilding a whole shoot. The result is faster seasonal refreshes with a clean provenance and rights story for marketing and commerce operations.

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

In RAWSHOT, you click the framing and lighting you need, then generate the shot from your garment configuration. Controls cover camera, angle, pose, background, mood, and the visual style that matches your campaign layout.

For commerce teams, that predictability matters: you get output coverage across 2K and 4K stills and multiple aspect ratios without inventing a textual brief. You can also scale the same direction through the REST API when you move from a single look to a full collection.

How does garment-led control beat prompt roulette for fashion PDP visuals?

Prompt roulette is unpredictable: small wording changes can shift product details, faces, and branding. RAWSHOT keeps direction anchored to your garment configuration and uses a fixed control surface so creative intent doesn’t get reinterpreted.

That makes it practical for PDPs where fidelity matters, especially when you need consistent composition across hundreds of variants. You also get C2PA-signed provenance and watermarking so publishing pipelines stay compliant.

Do the outputs include provenance and watermarking for compliance checks?

Yes. Each output carries C2PA-signed provenance metadata, along with visible and cryptographic watermarking cues so teams can verify attribution during review.

This is designed for real workflow needs—marketing ops, legal review, and catalog governance. You also get a signed audit trail per image to support traceability from generation to publication.

What QA checkpoints should we run before publishing campaign images?

Start with garment fidelity checks: confirm cut, color, pattern, logo, fabric, and drape match the product you’re selling. Then verify consistency for any saved model usage across the set so faces and bodies don’t drift between variants.

Finally, review provenance and watermark cues on each exported image before publishing. With signed audit trails and labelled outputs, approvals become an operations step instead of a guesswork review.

How do token pricing and generation time work for image-heavy campaigns?

For photos, pricing is flat per image at around ~30–40 seconds per generation, and tokens never expire. If a generation fails, RAWSHOT refunds the tokens, so you can run campaigns without hidden cost traps.

The cancel flow is simple: you can stop from the pricing page when you need to pause production. For seasonal schedules, that predictability helps you budget per batch and iterate safely on variants.

Can RAWSHOT plug into an ecommerce pipeline at catalog scale?

Yes. Use the browser GUI for single-look direction, then switch to the REST API when you need catalog-scale batch generation. The control mindset stays consistent, which reduces the “creative vs engineering” gap during onboarding.

That’s especially valuable for SKU-heavy brands that need new seasonal imagery nightly. You can keep your campaign style aligned while the pipeline generates on-demand outputs per variant.

How is throughput managed when multiple roles work on the same seasonal collection?

Different roles can work the same direction without rewriting creative briefs in chat threads. Creative operators click and save a model direction for the look, while catalog and ops teams run REST-based batches for the full set.

Because pricing is transparent per image and outputs are labelled with signed provenance and audit trail, your workflow stays stable from ideation to publishing. You end up with campaign consistency and a reproducible production trail across the team.