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Rawshot.ai

On-model imagery · Duotone lighting · 150+ styles

Direct duotone-ready fashion imagery with the AI Duotone Photography Generator.

Generate on-model stills that keep your garment true while you steer the scene with buttons, sliders, and visual presets. Choose lens, framing, angle, lighting, background, and product focus inside the app—no typed instructions needed. Publish with labelled, C2PA-signed provenance and full commercial rights, permanently and worldwide.

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

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

Duotone lighting, on-model clarity—straight from garment-led controls.
Solution
Try it — every setting is a click
Duotone duos: lens, light, frame
4:5

Direct the shoot. Zero prompts.

Pick your duotone look and steer the frame with app controls. Your garment stays the brief while lighting, mood, background, and composition lock the visual direction—no typed instructions. 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 duotone direction, no prompting

Steer lighting, framing, and product focus with presets and controls—then generate labelled outputs built for commerce use.

  1. Step 01

    Select garment-led settings

    Click your duotone direction: visual style, lighting system, background, aspect ratio, and product focus. The garment stays the brief while you steer the scene through UI controls.

  2. Step 02

    Direct the on-model framing

    Adjust lens, framing type, pose, and camera angle. Each change updates the composition so you can iterate variants without prompt roulette.

  3. Step 03

    Generate, label, and publish

    Generate stills with C2PA-signed provenance metadata and watermarking cues. Get full commercial rights for every output, permanently and worldwide, then move straight into your catalog or campaign pipeline.

Spec sheet

Duotone proofs you can audit

Together these proofs show how RAWSHOT keeps garments faithful, maintains catalog consistency, and ships provenance-ready outputs for publish-day workflows.

  1. 01

    No-likeness by design

    Models are diverse synthetic composites built from 28 body attributes with 10+ options each, making accidental real-person likeness statistically negligible by design.

  2. 02

    Click-driven interface, zero prompts

    Every creative decision is a button, slider, or preset. You direct camera, framing, pose, expression, and lighting without any prompt input.

  3. 03

    Garment fidelity stays faithful

    Cut, colour, pattern, logo placement, and fabric drape are represented to match your real garment. The garment is the brief, not a suggestion to the model.

  4. 04

    Synthetic models, transparently labelled

    You’ll generate with clearly defined synthetic, labelled models—so your team can use outputs with confidence and clarity for downstream publishing.

  5. 05

    SKU consistency across variants

    Save a model once and reuse it across your entire catalog. Same face and body across SKUs means fewer retakes and no drift between uploads.

  6. 06

    150+ visual styles for duotone looks

    Choose from catalog, lifestyle, editorial, campaign, street, noir, Y2K, and more. Build duotone direction via style presets and lighting systems.

  7. 07

    2K/4K clarity in every ratio

    Generate stills in 2K or 4K resolution across all aspect ratios. Switch between full-body, half-body, close-ups, detail views, and flat-lay framings.

  8. 08

    Compliance-ready provenance and labelling

    Outputs carry C2PA-signed provenance metadata with visible and cryptographic watermarking. RAWSHOT is designed to align with EU AI Act Article 50 and California SB 942, with GDPR compliance and EU hosting.

  9. 09

    Signed audit trail per image

    Each generated image includes a signed audit trail. Your team gets a defensible record of what was produced and when, ready for production review.

  10. 10

    GUI + REST API for scale

    Use the browser GUI for single shoots, or the REST API for catalog-scale pipelines. Same engine and controls across both lets teams standardize output direction.

  11. 11

    Fast per-image generation

    Stills land around 30–40 seconds per generation at ~ $0.55 per image. Tokens never expire, and failed generations refund their tokens.

  12. 12

    Full commercial rights, permanently

    Every output includes full commercial rights, permanent and worldwide. Publish across PDPs, lookbooks, social, and ads without a separate licensing step.

Outputs

Duotone-ready output gallery Built for fashion teams

Audit-ready on-model stills with duotone lighting direction, garment-led fidelity, and provenance metadata included in your workflow.

ai duotone photography generator 1
Duotone campaign gloss
ai duotone photography generator 2
Editorial noir duotone
ai duotone photography generator 3
Catalog clean duotone
ai duotone photography generator 4
Street flash duotone

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, pose, and lighting—no text fields.

    Category tools + DIY

    Fewer controls and more reliance on generic prompts; less precise direction. DIY prompting: Typed prompts plus trial-and-error; direction often slips between iterations.
  2. 02

    Garment fidelity

    RAWSHOT

    Garment-led generation preserves cut, colour, pattern, logo, and drape.

    Category tools + DIY

    More visual drift; garment details can mutate between outputs. DIY prompting: Garment drift and altered proportions are common when the prompt is vague.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Save and reuse a model for stable faces and bodies across your catalog.

    Category tools + DIY

    Inconsistent faces across runs; harder to keep a single brand face. DIY prompting: Inconsistent faces and changing models create SKU-to-SKU variation.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance metadata plus visible and cryptographic watermarking cues.

    Category tools + DIY

    No clean provenance story or limited labelling for AI outputs. DIY prompting: Missing provenance metadata and inconsistent labelling for compliance workflows.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights for every output, permanent and worldwide.

    Category tools + DIY

    Unclear rights framing and licensing steps that slow publishing. DIY prompting: Unclear rights often leave teams stuck on legal review before production.
  6. 06

    Iteration speed per variant

    RAWSHOT

    Generate quickly by adjusting controls; keep direction stable across variants.

    Category tools + DIY

    Slower iteration due to weaker controls and less reliable output fidelity. DIY prompting: Prompt-engineering overhead; you spend time rewriting text instead of directing the scene.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat per-image pricing at ~ $0.55/image with tokens that never expire.

    Category tools + DIY

    Per-seat pricing and volume tiers that can penalize growth. DIY prompting: Hidden costs via experimentation and retries; failure modes create extra overhead.

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

Duotone shoots for real production workflows

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

  1. 01

    Indie brand campaign lead

    Steer duotone lighting and editorial framing in the browser to launch a new drop without booking a studio day.

    Confidence · high

  2. 02

    DTC product manager (PDPs)

    Generate consistent on-model duotone stills for every SKU update while keeping product presentation uniform across pages.

    Confidence · high

  3. 03

    Crowdfunding creator

    Direct campaign-ready visuals with 2K/4K output and duotone styles, without shipping samples or waiting on reshoots.

    Confidence · high

  4. 04

    Kidswear label operator

    Use close-ups and detail framings for garment textures, then reuse the same model to keep consistency across sizes.

    Confidence · high

  5. 05

    Adaptive fashion line coordinator

    Choose lighting, background, and product focus settings that match the garment brief while generating labelled outputs for documentation.

    Confidence · high

  6. 06

    Lingerie DTC curator

    Lock duotone mood and framing presets for repeatable studio-like results, with full commercial rights for publishing.

    Confidence · high

  7. 07

    Resale marketplace seller

    Create duotone catalog images per listing while maintaining SKU presentation so customers recognize items across your storefront.

    Confidence · high

  8. 08

    Vintage seller rebuilding lookbooks

    Generate editorial duotone stills that keep garment details readable, then keep the same model for coherent collections.

    Confidence · high

  9. 09

    Factory-direct manufacturer catalog team

    Run nightly REST API batches for thousands of SKUs, with stable direction and provenance-ready outputs for downstream systems.

    Confidence · high

  10. 10

    Student fashion media creator

    Learn production-grade control through the UI—no prompting—while producing publishable assets for coursework portfolios.

    Confidence · high

  11. 11

    Influencer-style brand operator

    Publish platform-ready duotone stills in multiple aspect ratios using the same brand look and garment fidelity.

    Confidence · high

  12. 12

    Ecommerce creative producer

    Shorten the feedback loop by iterating duotone variations with clicks, then export outputs directly for ads and email.

    Confidence · high

— Principle

Honest is better than perfect.

Your team can publish with labelled, provenance-ready imagery. RAWSHOT outputs include C2PA-signed metadata and visible plus cryptographic watermarking cues, designed for compliance workflows aligned with EU AI Act Article 50 and California SB 942 on GDPR-grounded, EU-hosted infrastructure.

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 when you use an AI tool for fashion photography in a real catalog workflow?

You gain control that’s tied to the garment and the production pipeline, not a free-form text field. That means you can iterate duotone lighting, framing, and background direction while keeping SKU presentation stable across batches.

In RAWSHOT, you click camera and framing settings, select visual styles, and generate 2K or 4K outputs with labelled provenance metadata. Then you reuse the same model across your catalog so your brand face stays consistent as new SKUs land.

Why not reshoot every SKU for seasonal updates, and what does click-driven control help with?

You avoid the repeated studio cycle that eats calendars and budgets when you only need visual refreshes. Click-driven control helps because each variant is directed through the same set of UI parameters, so you can keep the garment story intact.

Instead of rewriting instructions, you adjust lens, aspect ratio, pose, and duotone lighting choices and regenerate quickly. RAWSHOT also supports REST API batch generation, so your seasonal updates can run on a schedule.

How do we turn a flat garment into on-model duotone imagery without prompting?

You select the garment-led settings in RAWSHOT and direct the scene with controls—lighting system, background, mood, framing, and product focus. The garment stays the brief while the app handles on-model presentation.

Practically, you choose an aspect ratio for your storefront, pick a duotone-friendly visual style preset, and set resolution to 2K or 4K. When the first output is close, you keep iterating via buttons and sliders until your team signs off.

How does garment-led direction beat prompt roulette for fashion PDPs?

Garment-led direction reduces the risk that details drift between outputs and that branding cues come back inconsistent. Prompt roulette asks the system to interpret your intent every time; RAWSHOT asks you to select repeatable settings.

When you save and reuse a model, the face and body remain stable across SKUs. That combination—stable models plus click-driven scene direction—makes it easier to publish a coherent catalog without per-item reshooting.

Are the outputs labelled and provenance-ready for commercial teams?

Yes. RAWSHOT outputs include C2PA-signed provenance metadata and are watermarked with both visible and cryptographic cues so your team can manage compliance and publishing workflows.

This matters when you’re producing at catalog scale and need a consistent, auditable record per image. The same compliance signals accompany your REST API workflow, so your pipelines don’t need extra manual steps.

What checkpoints should we run before uploading duotone images to our storefront?

Start with garment fidelity checks: cut, colour, pattern, logo placement, and drape should match the garment you intend to sell. Then verify composition basics—framing, pose, and background—so the duotone mood reads correctly at your storefront sizes.

Finally, confirm provenance and watermarking are present in the output package you archive. RAWSHOT’s audit trail per image and signed metadata are designed to make those checks straightforward in production.

How do token pricing and generation time work for stills workload?

For stills, pricing is transparent per image at about $0.55 each, with generation typically around 30–40 seconds per output. Tokens never expire, and failed generations refund their tokens, so experimentation doesn’t turn into silent cost creep.

If you’re running variants for duotone lighting across many SKUs, you can cancel in one click from the pricing page. Teams often use that control to manage production windows without over-planning.

Can we integrate RAWSHOT into our catalog pipeline with an API for batch generation?

Yes. RAWSHOT provides a REST API for catalog-scale pipelines, while the browser GUI supports single-shoot work. That lets teams keep the same garment-led controls across workflows.

For duotone photography sets, you can generate batches for many aspect ratios and framings without manual prompt rewriting. The signed provenance and commercial-rights story remain consistent across both GUI and API outputs.

If we want high throughput, which approach should different roles use: artists in the GUI or production via API?

Use the browser GUI for creative direction and sign-off, then switch to REST API batches for throughput. That keeps your duotone decisions consistent while accelerating catalog production across SKUs.

Creative operators can select visual styles, framing, lighting, and resolution quickly with the click-driven interface. Production teams then schedule repeatable generations and archive outputs with per-image signed audit trail and clear commercial rights for downstream publishing.