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Runway video · 9:16 · show-ready clips

Direct your next runway reel with the AI Runway Video Generator.

Create motion scene takes for your garments with clicks, sliders, and visual presets—no prompt text. Lock camera behavior, choose framing, and adjust model action to match your collection story. No studio days. No samples shipped cross-continent. No prompting.

  • ~$0.22 per second of video
  • ~50–60s per generation
  • 9:16 or 1:1 delivery
  • 150+ visual style presets
  • 2K and 4K output options
  • Full commercial rights, permanent worldwide

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

Try it — every setting is a click
9:16 · 720p
1 scenes4s

Block the scene. Zero prompts.

This build starts from a runway preset: locked camera rhythm, studio-soft lighting, and a garment-led action cycle. You then click-select framing and background, and adjust duration within the scene controls—every creative choice is a control, not typed text. ~4s clip · locked camera

  • 6 clicks · 0 keystrokes
  • app.rawshot.ai / build_scene
Video Builder
app.rawshot.ai / build_scene
Shot count
Framing
Duration (sec)
34s10
Lighting
Background
Resolution
Aspect ratio
Model action
Camera motion
1 scenes · 4s · Static locked
Generate reel

How it works

Build garment-led runway scenes with clicks

Run camera motion, model action, framing, and lighting as UI controls. Generate reels that keep your product faithful and your provenance clear.

  1. Step 01

    Pick a runway look preset

    Select a visual style, framing, and scene environment for your garment-led reel. Every option is a control—no typed instructions needed.

  2. Step 02

    Direct the camera and motion

    Click camera motion and choose model action that matches your runway pacing. Adjust duration to fit your clip length and platform format.

  3. Step 03

    Generate, review, and publish

    Run the scene and inspect output for garment fidelity, labelling, and watermarking cues. Download for your workflow with full commercial rights and permanent worldwide usage.

Spec sheet

Proof that runway control stays garment-faithful

Twelve proof surfaces show what you get: labelled outputs, consistent models, scale-ready APIs, and commercial rights you can trust.

  1. 01

    No-likeness by design

    Your reels use synthetic models with 28 body attributes × 10+ options each. Accidental real-person likeness is statistically negligible by design, and outputs are transparently labelled.

  2. 02

    Direct your scene without prompts

    Every creative choice is a button, slider, or preset: camera motion, framing, distance, and model action. You click your way to the lookbook or runway reel you need.

  3. 03

    Garment fidelity you can publish

    Cut, colour, pattern, logo, fabric, and drape are represented faithfully. The garment is the brief, so the product stays the center of the frame.

  4. 04

    Diverse synthetic models, labelled

    You can choose among diverse synthetic models built for apparel work. Each output carries clear labelling so teams can ship with confidence.

  5. 05

    Same face across every SKU

    Save a model once and reuse it across your entire catalog. This keeps your runway-ready branding consistent and eliminates drift between shoots.

  6. 06

    150+ visual styles for runway mood

    Switch between catalog, lifestyle, editorial, campaign, street, noir, vintage, and more. Lock the look without losing the garment’s shape and details.

  7. 07

    2K/4K plus every aspect ratio

    Generate reels with high-resolution output and multiple framing formats. Deliver for 9:16 feeds, 1:1 placements, and editorial crops using the same workflow.

  8. 08

    Compliance and provenance included

    Outputs are C2PA-signed and support EU AI Act Article 50 requirements. They also align with California SB 942 and carry clear AI labelling for responsible distribution.

  9. 09

    Signed audit trail per image

    Each image includes a signed audit trail so teams can track origin and production parameters. Your publishing flow stays orderly from first draft to final export.

  10. 10

    GUI and REST API for scale

    Use the browser GUI for single shoots, or the REST API for catalog-scale pipelines. Keep the same controls whether you’re producing one runway drop or thousands of SKUs.

  11. 11

    Fast generation with transparent tokens

    Reels generate in about 50–60 seconds and price by time: ~0.22 per second of video. Tokens never expire, and failed generations refund tokens.

  12. 12

    Full commercial rights, permanent worldwide

    Every output includes full commercial rights with permanent, worldwide usage. Watermarking and labelling support honest distribution—without blocking your publishing plans.

Outputs

Runway reels you can ship Labelled, consistent, rights-ready

Preview how a click-driven scene builder turns on-model garments into runway-ready motion outputs. Built for fashion teams that need both creative control and operational clarity.

Runway reel 9:16
Studio-black motion take
Editorial lighting close-up

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 scene controls for camera, framing, lighting, and motion.

    Category tools + DIY

    Shorter control surfaces tied to prompt-like workflows and limited direct knobs. DIY prompting: Typed instructions in chat tools with variable results and manual iteration.
  2. 02

    Garment fidelity

    RAWSHOT

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

    Category tools + DIY

    Product details can bend toward the prompt, causing garment drift or omissions. DIY prompting: Garment details change across attempts, with invented or altered design elements.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Save a model and reuse it across your entire catalog for no drift.

    Category tools + DIY

    Different generations often shift model appearance across outputs. DIY prompting: Model likeness varies each run, making catalog consistency hard.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance plus AI labelling cues on every output.

    Category tools + DIY

    Often lacks signed provenance and consistent labelling for governance. DIY prompting: No reliable provenance metadata or consistent labelling story for teams.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights for every output, permanent and worldwide.

    Category tools + DIY

    Licensing terms can be unclear or gated behind usage constraints. DIY prompting: Rights and usage clarity are typically not clean for production distribution.
  6. 06

    Iteration speed per variant

    RAWSHOT

    Scene builder runs quickly with per-reel token economics and fast review loops.

    Category tools + DIY

    Re-tuning controls can be slow, especially when prompts need rewriting. DIY prompting: Iteration becomes prompt roulette, with extra overhead to regain garment alignment.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat per-image and per-second pricing with token refunds on failed generations.

    Category tools + DIY

    Often per-seat pricing, volume tiers, or hidden limits for scale. DIY prompting: Costs are fragmented across platforms with no guaranteed token and refund rules.
  8. 08

    Catalog API

    RAWSHOT

    GUI for single shoots and REST API for batch production pipelines.

    Category tools + DIY

    APIs are limited or not aligned to consistent garment-led production. DIY prompting: No structured batch pipeline; automation requires prompt scripting and QA 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

Runway motion for teams who need consistent products

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

  1. 01

    Indie designer building a show rollout

    You click a runway look preset, lock framing, and generate motion clips for your collection without reshoots or samples.

    Confidence · high

  2. 02

    DTC brand launching seasonal updates

    You reuse the same model and direct the camera rhythm for each SKU so every release looks coherent on every channel.

    Confidence · high

  3. 03

    Adaptive fashion studio creating readable storytelling

    You choose clear framing and controlled lighting so garment details stay true while the motion stays gentle and consistent.

    Confidence · high

  4. 04

    Lingerie DTC shipping campaign-ready reels

    You generate runway-style motion for hero sets with labelled outputs and consistent model selection for every SKU.

    Confidence · high

  5. 05

    Resale and vintage marketplace onboarding sellers

    You give sellers a click-driven workflow that focuses on the garment brief, then produces publish-ready motion without prompt rewriting.

    Confidence · high

  6. 06

    Factory-direct manufacturer preparing catalog motion

    You run the REST API pipeline for many SKUs nightly, keeping model and garment fidelity consistent across the full run.

    Confidence · high

  7. 07

    Kidswear label creating on-model runway moments

    You select the right framing and action cycle to keep garments readable in motion while maintaining product fidelity.

    Confidence · high

  8. 08

    Accessory brand turning single products into show sequences

    You combine up to four products per composition and generate reels with runway pacing and controlled backgrounds.

    Confidence · high

  9. 09

    Crowdfunding creator building stretch-goal drops

    You generate new reel variants quickly from the same garment-led controls so updates can match the pace of your campaign.

    Confidence · high

  10. 10

    Influencer team producing consistent brand reels

    You keep the same face across outputs and adjust scene controls per post so your brand visuals stay stable across platforms.

    Confidence · high

  11. 11

    Student fashion studio learning production workflows

    You experiment with camera motion, lighting, and framing as UI controls and export labelled results for portfolio-ready submissions.

    Confidence · high

  12. 12

    Editorial team prepping show-week content

    You switch between editorial lighting styles and aspect ratios to match each outlet while the garment details remain faithful.

    Confidence · high

— Principle

Honest is better than perfect.

Runway reels ship with C2PA-signed provenance and AI labelling so teams can publish with a clear, auditable record. The workflow is built to align with EU AI Act Article 50 and California SB 942, helping brands stay compliant without slowing creative iteration.

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

~$0.22 per second of video.

~50–60 seconds per generation. Tokens never expire. Cancel in one click.

  • 01Video uses more tokens per second than stills—longer clips cost more.
  • 02The cancel button is on the pricing page.
  • 03No per-seat gates. No 'contact sales' walls for core features.
  • 04Failed generations refund their tokens.

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 control stays consistent whether you’re producing a single runway reel in the browser or running a batch pipeline with the REST API. You can move faster because your creative decisions live in the interface, not in a text box.

For catalog and campaign teams, reliability matters more than model cleverness. RAWSHOT keeps token timing, refund rules on failed generations, commercial rights framing, provenance signalling, watermarking cues, and batch-ready REST surfaces explicit—so production teams can ship without betting their workflow on prompt variability.

What does AI-assisted fashion video change for SKU-scale catalogs?

It turns garment-led motion into a repeatable production step. Instead of reshooting every update, you keep the garment brief and direct the scene with UI controls for camera motion, framing, lighting, and model action. The result is consistent output that’s built for many variants.

RAWSHOT is designed for ecommerce teams that need dependable iteration across SKUs. Save your model once, reuse it across the catalog, and generate reels with labelled provenance and signed audit trails so your pipeline remains reviewable and publish-ready.

Why skip reshooting every SKU for show-week updates?

Because show-week schedules punish delays. When you can generate runway-style reels from the garment brief, you don’t wait for studios, travel, or samples to arrive before content goes live. It also reduces the risk of visual drift caused by different shoot days.

In RAWSHOT, you click-select the scene and motion settings per variant while keeping your selected model consistent across your catalog. You get C2PA-signed provenance, AI labelling, and clear export readiness for teams that need repeatable creative output.

How do we turn flat garments into catalogue-ready motion without typed prompts?

You don’t translate a concept into text—you build the scene with controls. Choose framing, camera motion, lighting system, and model action, then generate the clip. The garment stays the brief throughout the workflow.

This is why the same interface works for both single shoots and catalog-scale production. Your team can rehearse a repeatable runway look for each SKU and export labelled outputs without learning prompt syntax.

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

Because garment-led control reduces the specific failure modes that break PDP consistency. With click-driven settings, the garment stays faithful instead of drifting between outputs, and your model can stay stable across SKUs. That matters when marketing relies on repeatable product presentation.

DIY prompting tends to produce invented logos, inconsistent faces, unclear rights framing, and missing provenance metadata. RAWSHOT keeps provenance and labelling embedded in the output workflow, with per-image or per-second token economics that your team can plan around.

Do labelled AI outputs affect licensing for commercial use?

Labelled AI outputs are actually a better fit for commercial workflows. RAWSHOT provides full commercial rights for every output, permanent worldwide usage, and consistent labelling and watermarking cues. Teams can publish with a clear rights story while staying transparent.

Provenance is C2PA-signed and each image includes a signed audit trail. That gives production teams a governance-ready artifact, not a vague “best effort” file without traceability.

How can we QA that the garment stays faithful before publishing?

Run a focused checklist on the reel output: verify cut, color, pattern, logo placement, and fabric drape against your source garment. Confirm the model selection matches your intended face consistency, and review framing and lighting for readability across the aspect ratio you’re publishing.

RAWSHOT’s garment-led workflow is built to keep the product faithful while outputs carry signed provenance, labelling, and watermark cues. Your QA step should also confirm the watermarking and labelling are present before distributing to channels.

What do token pricing numbers mean for video vs stills in practice?

Video pricing scales with time, not with a hidden tier. You pay about ~$0.22 per second of video, and typical reel generation takes ~50–60 seconds, with tokens that never expire. Longer clips therefore cost more than shorter ones.

Stills are priced per image and are usually faster, but video’s per-second economy matches real production needs when you’re planning show-week content. RAWSHOT also refunds tokens on failed generations, and you can cancel in one click from the pricing page.

Do you support REST API pipelines for fashion catalog production?

Yes. RAWSHOT provides a REST API so you can run catalog-scale reel generation while keeping the same garment-led controls. The GUI supports single-shoot work, and the API supports batch production without changing your production logic.

This is valuable when you need scheduled updates across many SKUs. You can keep governance signals like signed provenance and labelling in your workflow while generating reels that stay consistent across the catalog.

How do teams scale from one runway reel to thousands of variants?

Start with the same scene controls in the browser GUI, then move to batch generation once your look is locked. Save your model for consistency, reuse your runway style presets, and scale through the REST API for SKU throughput. This keeps the production team aligned across roles.

In practice, you can manage one-off approvals in the GUI, then run nightly or scheduled API jobs for catalog refreshes. Because tokens never expire and failed generations refund, your pipeline can stay stable even when iterations are required.