Rawshot.ai

Campaigns

AI generated images commercial use

Campaign images carry rights and AI disclosure for review.

You oversee campaign imagery for commercial use, but Legal still needs to assess who the models represent, what rights apply and how AI generation is disclosed. Until those questions are settled, the images are not ready for approval.

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A 2K image in roughly 35 seconds · AI-labelled with C2PA content credentials

A 35-year-old Caucasian woman wears a navy windbreaker in a full-body front view, standing with one hand on her hip and a neutral expression. A Magnolia Tree Park backdrop is visible behind her.
Women's Navy Windbreaker
A female model wears a women's black mesh cover-up, shown from the lower body in a front view with her weight shifted back. The Coastal Trail Cypress Ruins backdrop is visible behind her.
Women's Black Mesh Cover-Up
A 22-year-old Caucasian man models a navy messenger bag in a full-body view from a front three-quarter angle, standing with his ankles crossed and a confident expression. A flat rust-colored backdrop frames the studio composition.
Navy Messenger Bag
A 35-year-old Caucasian woman wears a navy windbreaker in a full-body front view, standing with one hand on her hip and a neutral expression. A Magnolia Tree Park backdrop is visible behind her.
Women's Navy Windbreaker
A female model wears a women's black mesh cover-up, shown from the lower body in a front view with her weight shifted back. The Coastal Trail Cypress Ruins backdrop is visible behind her.
Women's Black Mesh Cover-Up
A 22-year-old Caucasian man models a navy messenger bag in a full-body view from a front three-quarter angle, standing with his ankles crossed and a confident expression. A flat rust-colored backdrop frames the studio composition.
Navy Messenger Bag
A male model wears navy wool tailored trousers in a lower-body side view, standing with his feet together. A contemporary art white atrium forms the backdrop.
Men's Navy Wool Tailored Trousers
A male model wears black skinny jeans in a lower-body view, posed with one foot forward and shown from a front three-quarter angle. Parkour-style urban obstacles form the backdrop.
Men's Black Skinny Jeans
A 24-year-old Caucasian male model wears navy cotton boxers in a front-facing, three-quarter-length view. He is smiling with his hands behind his back, against a studio grey backdrop.
Navy Cotton Boxers
A male model wears navy wool tailored trousers in a lower-body side view, standing with his feet together. A contemporary art white atrium forms the backdrop.
Men's Navy Wool Tailored Trousers
A male model wears black skinny jeans in a lower-body view, posed with one foot forward and shown from a front three-quarter angle. Parkour-style urban obstacles form the backdrop.
Men's Black Skinny Jeans
A 24-year-old Caucasian male model wears navy cotton boxers in a front-facing, three-quarter-length view. He is smiling with his hands behind his back, against a studio grey backdrop.
Navy Cotton Boxers

Showing 9 of 3,629, shot in RAWSHOT

Use cases

Legal reviews likeness, rights and AI labelling before campaign approval.

Paid campaign approval

The situation

A paid campaign is waiting on confirmation that its fashion images can be used commercially.

With RAWSHOT

When you manage campaign marketing, select the product, model, frame and pose for review. The campaign imagery carries rights and disclosure information for Legal to assess.

Synthetic model review

The situation

Legal asks whether the campaign model references a real person or a named individual.

With RAWSHOT

Choose synthetic model attributes without referencing a specific person, and review the selected frame and camera view. The imagery presents a defined synthetic casting basis for the likeness review.

AI disclosure review

The situation

Legal needs to understand how a campaign image identifies its AI generation.

With RAWSHOT

Generate campaign imagery with the selected product and composition. C2PA credentials, visible and cryptographic watermarking, and AI-labelled metadata accompany the output for disclosure review.

Procurement rights review

The situation

Procurement checks commercial rights and content credentials before campaign assets are delivered.

With RAWSHOT

Use the brand’s product source and selected model and composition to prepare imagery for review. The output includes C2PA content credentials and AI labelling; you also confirm rights to the garment photos you supplied.

What you get

Review product-based campaign images alongside rights and AI-disclosure information.

The campaign imagery pairs your product with commercial-rights and AI-disclosure information for review. Full and permanent commercial rights apply subject to applicable law and third-party rights; you remain responsible for rights to garment photos you upload.

Rights and terms

Every generation comes with full and permanent commercial rights, subject to applicable law and third-party rights. You remain responsible for rights to garment photos you upload; review the Terms of Service for applicable conditions.

Synthetic model basis

Models are synthetic composites, and no real-person likeness is referenced. Private models are built from published attributes, so you can review the casting basis without requesting a specific person.

AI disclosure information

Each output carries C2PA content credentials, visible and cryptographic watermarking, and AI-labelled metadata. The AI label is present when the image is generated; you do not add it afterwards.

Product-based campaign images

The imagery is built around your brand’s product source and selected campaign composition. Review the generated images for product details and confirm your upload rights as part of your approval process.

Direct the shoot

Set frame, view, pose and light for a reviewable composition.

Image frame

15

Pose

22 poses on this frame

Camera view

4

Format

9

Pose style

4

Facial expression

10

Photography direction

4

Create photoshoot

Step 7 of 7 · Composition

ProductModelOutfitStylingBackgroundDirectionComposition
A 35-year-old Caucasian woman wears a navy windbreaker in a full-body front view, standing with one hand on her hip and a neutral expression. A Magnolia Tree Park backdrop is visible behind her.Image 1 · readyGallery image from this page

Product

Your product

Model

From the library

Composition

Full Body · Front View · Catalog pose · Neutral

Delivery

2K · 1:1

Light

Studio Cutout

Total cost

5 tokens

Generate 5 tokens

AI fashion models

Choose who wears the product from 1,197 library models.

1,197 licence-free grown models across ages and body types. Or build a private model from visible attributes.

A 25-year-old Caucasian woman with fair skin and a warm golden undertone. Her face is longer than it is wide, with a tall forehead and elongated cheeks. She has thin eyebrows, hazel eyes with green-gold flecks, and medium lips. Her warm honey-blonde hair is styled in a very short pixie cut, close at the sides with more length on top.

Female · 25

A 21-year-old African woman with copper-brown skin and a neutral reddish-copper undertone. Her diamond-shaped face has a narrow forehead and jawline, with the widest point at the cheekbones. She has medium-thickness eyebrows, brown eyes, and medium lips. Her black hair is naturally textured but straightened into a smooth, glossy silk-press style.

Female · 21

A 21-year-old Slavic man with a light porcelain skin tone and cool undertone. His face has balanced oval proportions with a softly rounded jaw, medium-thickness eyebrows, medium lips, and green eyes. His dark-brown hair is styled in a short, tapered crew cut that is slightly longer on top than at the sides. He is clean-shaven with a smooth face.

Male · 21

A 32-year-old Chinese woman with a light porcelain skin tone and neutral undertone. Her square face has a broad forehead and a strong, defined jaw, creating an angular, structured appearance. She has thin eyebrows, brown eyes, and thin lips. Her dark-brown hair falls in loose, slightly tousled waves with natural volume.

Female · 32

A 24-year-old Turkish woman with a medium olive skin tone and greenish-golden undertone has a long face with a tall forehead and elongated cheeks. Her eyebrows are medium in thickness, and her eyes are brown. She has medium lips and dark-brown hair styled with the upper section pulled back while the lower lengths hang loose.

Female · 24

A 55-year-old Caucasian man with porcelain skin and a cool undertone has a lean, gaunt face with hollowed cheeks and sharply sculpted bone structure. His thin eyebrows frame hazel eyes with green-gold flecks, and he has thin lips. His gray hair falls in soft waves, and a connected moustache and rounded goatee form a circle around his mouth.

Male · 55

This 19-year-old Slavic man has a porcelain skin tone with a cool undertone. His face is chiseled, with sharp angular features, a defined jaw, and pronounced cheekbones. He has thick eyebrows, blue eyes with a cool undertone, and full lips. His mid-tone blonde hair is combed flat and back close to the head, and he is clean-shaven with smooth skin across the whole face.

Male · 19

A 28-year-old Indian woman with a South Asian appearance and medium-brown skin with a warm golden undertone. Her heart-shaped face has a wider forehead that narrows to a pointed chin, framed by thick eyebrows. She has hazel eyes with green-gold flecks and full lips. Her deep black hair is wound into a rounded bun at the back of her head.

Female · 28

A 28-year-old Japanese man with East Asian facial features, lightly tanned fair skin with a warm yellow undertone, and a round face defined by soft, full contours and few angles. He has thin eyebrows, brown eyes, medium lips, and a clean-shaven face. His deep black hair is styled in a French crop with short sides and a short, blunt fringe.

Male · 28

A 36-year-old Indigenous American man with medium olive skin and a red-copper, greenish-golden undertone. His face is gaunt, with hollowed cheeks and sharply sculpted bone structure. He has medium-thickness eyebrows, brown eyes, and medium lips. His black hair is clipped very short and even in a buzz cut, and fine, closely trimmed stubble lightly covers the beard area.

Male · 36

This 26-year-old African man has dark-brown skin with a cool undertone and a square, angular face defined by a broad forehead and strong jaw. He has thick eyebrows, brown eyes, and very full lips. His black hair is styled in a short natural afro with gradually tapered sides and neckline, and fine, closely trimmed stubble lightly covers the beard area.

Male · 26

A 27-year-old Hispanic woman with warm honey-toned skin and a neutral undertone. Her face is elongated with refined features and high cheekbones. She has thick eyebrows, hazel eyes with green-gold flecks, and medium lips. Her deep black hair is styled in soft waves.

Female · 27

Showing 12 of 1,197

Cast your model

Rawshot Features

RAWSHOT gives Legal a defined composition and synthetic casting basis.

A 20-year-old Turkish male model wears a men's khaki utility boilersuit in a full-body front view, standing with his arms overhead and a neutral expression. A cherry blossom park forms the backdrop.

Fashion model poses

When Legal reviews campaign imagery, a chosen frame, camera view and pose make the pictured presentation inspectable as a defined composition.

22 poses on a full-body shot · 104 in total

See the feature →
A gold hoop earring is shown on an ear from the side, with the ear positioned forward against a flat seasalt-colored backdrop.

Product import and handling

Starting from the brand’s product source keeps the review tied to the actual item rather than a generic fashion image.

Start from your real item and keep product fidelity while building the scene.

See the feature →
A 20-year-old Indian woman with medium olive skin and a warm greenish-golden undertone has a round face with soft, full contours, gentle curves, and few angles. She has thick eyebrows, very dark near-black eyes, and very full lips. Her deep black hair is twisted up and secured with a claw clip, with relaxed ends.

AI model generator

Synthetic model attributes let you address likeness questions through defined casting choices, without referencing a specific real person.

Library filters plus private model building for consistent identity across the set.

See the feature →
Light wash denim skirt shown on a female model’s lower body from a front three-quarter angle, with one knee positioned forward. A flat fuchsia backdrop fills the background.

AI image to image generator

A composition choice can be assessed alongside the other selected choices, helping reviewers understand the intended image.

Change one decision and keep the rest of the composition stable.

See the feature →

AI image to video generator

17 model actions on a full-body shot · 132 in total

AI makeup generator

Branch-aware named options applied without altering casting or scene setup.

AI outfit generator

Combine the main piece with neutral supporting items in one coherent frame.

AI photo background generator

Swap scene context while keeping model, product, and framing stable.

AI suggestions

Preselected control values you can always override in the same configurator.

Garment styling

Choose how the garment is worn and keep brand presentation consistent.

Inspiration gallery

Load editable finished looks as fast starting points for new shoots.

Photography direction

4 named choices that set mood and shadow the same way across a shoot.

Catalog

Browse the catalog

All catalog pages

By product

Clothing
Footwear
Jewellery
Bags
Eyewear
Accessories
Watches

By audience

MenswearWomenswear

By background

All backgroundsWhiteGreyBeigeBrownBlueGreenPinkPurpleRed

By look

StudioEditorialLifestyle

By frame

Full bodyClose-upHands

Models

All modelsGenderFemaleMaleBody typePlus-sizeCurvyPetiteSlimAthleticAgeMatureBackgroundAfricanAsianCaucasianIndian

Consistency

Each new image carries credentials and AI labels.

Each image is a new generation. C2PA credentials, visible and cryptographic watermarking, and AI-labelled metadata accompany every output.

You change one

  • Frame
  • Pose
  • Camera view
  • Model

The rest holds

  • Product

    Your selected product source is part of the composition for review.

  • Model

    Synthetic model attributes address likeness questions without referencing a named individual.

  • Composition

    The selected composition choices provide context for reviewing the generated image.

Who it's for

Does RAWSHOT fit campaign review without real-person likenesses?

A good fit

This fits when you need campaign imagery of your products and Legal or Procurement reviews rights, likeness and AI disclosure before delivery.

Work it handles well

  • You can document commercial rights and disclosure for review.
  • You can assess synthetic model casting without likeness references.
  • You can prepare product-based campaign imagery for approval.

Outside this scope

Real-person likeness references are not supported; private models use published attributes, so a specific real person cannot be represented.

Where this stops

  • You cannot request a specific real-person likeness.
  • You need clear product uploads for accurate representation.
  • You need rights to the garment photos you upload.

Rights

You own every image. Every image says what it is.

Yours

  • Full commercial rights to every image, permanently.
  • No recurring licence fees on any model in the library.
  • Every model is a synthetic composite, so there is no real-person likeness.

Labelled

  • C2PA content credentials on every image.
  • AI-labelled output, aligned with EU AI Act Article 50.

EU-based hosting, GDPR-compliant handling.

  • Aligned with EU AI Act Article 50
  • C2PA
  • Full commercial rights
  • GDPR-compliant handling
  • EU-based hosting

Questions

What should Legal check before campaign use?

Can RAWSHOT create campaign imagery from real products with rights and AI-disclosure information for review?

RAWSHOT creates product-based campaign imagery accompanied by commercial-rights and AI-disclosure information for review. You select the product source, synthetic model attributes, frame, and pose to prepare images for approval. Each output carries C2PA content credentials, visible and cryptographic watermarking, and AI-labelled metadata. Commercial rights apply subject to applicable law and third-party rights, and you remain responsible for rights to garment photos you upload.

Which jobs and channels suit RAWSHOT campaign imagery when Legal and Procurement need to review it?

Paid campaign approval, synthetic-model review, AI-disclosure review, and Procurement rights review are jobs suited to campaign imagery. You can prepare product-based images for commercial approval and review the selected model and composition with Legal. C2PA credentials and AI-labelled metadata accompany the output for disclosure and procurement checks. The imagery supports review of campaign assets; your team assesses the applicable rights and intended publishing channels.

Which crops and aspect ratios should I review for campaign imagery across launch placements?

4:5 and 9:16 are crop targets to review against the selected campaign frame; no fixed supported ratio is specified here. You can assess how the product, model, and composition read within the intended placement before approval. Choose the camera view and pose with the crop in mind, then review the generated image for product detail and disclosure information. Check your channel requirements before finalizing the campaign asset.

What do I need to start a campaign image set from product photos for commercial review?

Start with a clear product photo or flat-lay that you have the rights to use, then select synthetic model attributes and a composition. You can choose the frame, pose, and camera view to give Legal and Procurement context for review. Check that the product source represents the garment accurately, and confirm your upload rights. The output includes AI-disclosure information for your approval process.

How does RAWSHOT compare with a studio shoot for campaign imagery that needs rights and AI-disclosure review?

Compared with a studio shoot, RAWSHOT prepares product-based campaign imagery using selected synthetic model attributes and composition, with rights and AI-disclosure information accompanying each output. You can review the model basis without referencing a named individual and assess the product source in the selected frame. Each image is a new generation, so review the resulting product details and composition rather than assuming exact image matching.

How can I keep campaign variants aligned across products, synthetic casting, and composition for review?

Use the selected product source, synthetic model attributes, and composition choices as shared review anchors across campaign variants. You can keep the casting basis and visual direction clear for Legal while preparing imagery around different products. Each image is a new generation, so matching those choices does not guarantee identical details or an exact repeat of a frame. Review each output for product accuracy and disclosure information.

What can't RAWSHOT do for campaign imagery when a named-person likeness or exact product detail is required?

RAWSHOT cannot represent a specific real person in campaign imagery, and unclear product uploads can limit accurate garment representation. You choose synthetic model attributes without using a likeness reference, so a named individual cannot be the casting basis. Review each generated image against your product source, and use clear uploads you have rights to provide. You remain responsible for confirming those upload rights as part of campaign approval.

What commercial rights and upload responsibilities apply to RAWSHOT campaign imagery for advertising?

You get full commercial rights to every image, permanently, with no recurring licence fee. Every image carries C2PA content credentials and is labelled as AI-generated.

Get started

Bring a product source into your campaign review.

Start with a 7-day free trial including 50 tokens, then move to the plan that matches your production volume.

Start your free trial