— Product video · Any aspect ratio · ~50–60s per generation
Direct your next campaign reel with the AI Brand Fashion Video Generator.
Create motion-ready fashion video by clicking camera, framing, motion, and lighting—no prompt work needed. Your garment stays the brief: cuts, color, pattern, and branding remain faithful through each iteration. Generate in the browser GUI or at catalog scale via REST API—without a studio day or a typed prompt.
- ~$0.22 per second of video
- ~50–60s per generation
- Tokens never expire
- Cancel in one click
- Full commercial rights, permanent, worldwide
- Scene builder + camera motion
7-day free trial • 50 tokens (10 images) • Cancel anytime
Block the scene. Zero prompts.
Pick camera motion, framing, lighting, background, and clip duration with fixed controls. The scene builder locks the camera feel while your garment-led choices stay consistent across iterations—no typed instructions required. ~4s clip · locked camera
- 6 clicks · 0 keystrokes
- app.rawshot.ai / build_scene
How it works
Click-driven scene building for fashion video
Direct the camera, motion, and look with controls—then generate reels that stay consistent to the garment brief.
- Step 01
Choose the scene, not a prompt
Click your camera motion, framing, lighting, background, and model action in the scene builder. Each setting is a control, so you direct the shoot without writing anything.
- Step 02
Lock garment-led fidelity
Select the real garment options you want represented, then keep iterating by adjusting the visible controls. Cuts, color, pattern, logo placement, and drape stay aligned to the product brief.
- Step 03
Generate a labelled, rights-ready reel
Run your generation and review the output with provenance and watermark cues. Every result includes C2PA-signed records and full commercial rights, permanent and worldwide.
Spec sheet
Proof that scales: labelled fashion video
Twelve separate proof surfaces cover control UX, garment fidelity, synthetic model transparency, provenance, and workflow scale for catalog and campaign teams.
- 01
No-likeness by design
RAWSHOT builds synthetic models from 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design, and every output stays transparently synthetic.
- 02
Zero prompts, only controls
Every creative decision is a click, slider, or preset: camera motion, framing, lighting, background, model action, and clip length. You direct the shoot directly in the interface.
- 03
Garment fidelity stays faithful
Your garment is the brief—cut, color, pattern, logo, fabric, and drape are represented as designed. Iterations adjust the scene without mutating the product you selected.
- 04
Diverse synthetic models, labelled
You can pick from diverse synthetic models while keeping outputs transparently labelled. The UI makes the synthetic nature clear so teams can plan approvals confidently.
- 05
SKU consistency across variants
Save and reuse the same model setup across your catalog work so faces and body characteristics remain consistent. No drifting between shoots means fewer re-edits when you swap SKUs.
- 06
150+ visual styles for brand looks
Switch between catalog, lifestyle, editorial, campaign, studio, street, Y2K, vintage, noir, and more. The style system keeps your reels aligned to your brand direction across sets.
- 07
2K/4K clarity and every ratio
Generate with 2K and 4K resolution and choose aspect ratios like 9:16, 1:1, and 16:9. Your video formats stay consistent for channels from product pages to social reels.
- 08
Compliance and provenance, built in
Outputs are C2PA-signed and watermarked with both visible and cryptographic layers. RAWSHOT is designed to align with EU AI Act Article 50 (effective 2 Aug 2026) and California SB 942, with GDPR in scope for EU hosting.
- 09
Signed audit trail per image
Each generation carries a signed audit trail so teams can track what was produced and when. That traceability supports internal QA and external reviewer workflows.
- 10
GUI for single shoots, REST for scale
Use the browser GUI for one-off reels and creative reviews, then switch to the REST API for nightly catalog pipelines. The same control model applies whether you publish one look or thousands.
- 11
Fast output and transparent video pricing
Reels generate in about 50–60 seconds, and video cost is priced per second. Tokens never expire, and failed generations refund tokens so operations can iterate without fear.
- 12
Full commercial rights, permanent worldwide
You receive full commercial rights to every output, permanent and worldwide. That rights story is clear and repeatable, so teams can ship without licensing ambiguity.
Outputs
Reels that match your fashion brief Click-led direction, labelled provenance
A small gallery of generated reels that demonstrate consistent framing, brand styles, and garment-led fidelity—ready for approvals and publishing workflows.
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.
01
Interface
RAWSHOT
Click-driven scene controls: camera, framing, lighting, motion.Category tools + DIY
Tools that require prompt-like fields or fewer direct controls. DIY prompting: Typed prompts and parameter guesses before you get usable outputs.02
Garment fidelity
RAWSHOT
Garment-led generation represents cut, color, pattern, and drape.Category tools + DIY
Weaker garment fidelity and less consistent product representation. DIY prompting: Garment drift between iterations, including mutated product details.03
Model consistency across SKUs
RAWSHOT
Save and reuse model setup to keep face and body consistent.Category tools + DIY
Often changes identity across variants, forcing rework. DIY prompting: Inconsistent faces across outputs, no catalog-grade repeatability.04
Provenance + labelling
RAWSHOT
C2PA-signed provenance plus visible and cryptographic watermarking.Category tools + DIY
Missing provenance and unclear labelling across deliverables. DIY prompting: No signed provenance, no consistent watermarking, unclear attribution.05
Commercial rights
RAWSHOT
Full commercial rights to every output, permanent and worldwide.Category tools + DIY
Rights can be unclear or vary per tool and export route. DIY prompting: Unclear rights story that makes procurement and legal review harder.06
Iteration speed per variant
RAWSHOT
Adjust with controls and generate; tokens refund on failures.Category tools + DIY
Slower iteration due to setup friction and inconsistent outputs. DIY prompting: Prompt-engineering overhead before the garment looks correct.07
Pricing transparency
RAWSHOT
Simple per-image/per-second economics; cancel is one click.Category tools + DIY
Per-seat pricing and volume tiers that can punish growth. DIY prompting: Hidden costs from repeated attempts and manual iteration cycles.08
Catalog API
RAWSHOT
REST API for batch pipelines alongside the browser GUI.Category tools + DIY
Limited automation or no clean API path for catalogs. DIY prompting: DIY pipelines require engineering work to standardize outputs.
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
ManualCreate 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...
A prompt can describe one image. It cannot become a shared production system for hundreds of products, models, angles and markets.
Rawshot
ClicksSaved shoot recipe
Apply to 1 SKU or 10,000 via GUI, CSV or REST API.
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
Reels for teams who can’t afford reshoots
Operator archetypes and how click-directed, garment-first output fits the way they actually work.
- 01
Campaign production lead
Build campaign-ready motion visuals by clicking editorial lighting, camera motion, and style presets while keeping garment fidelity stable across variants.
Confidence · high
- 02
Ecommerce PDP owner
Generate on-model product motion clips for PDP sections, using consistent framing and aspect ratios without retaking footage for every SKU change.
Confidence · high
- 03
Catalog manager at a DTC brand
Run REST API batches for nightly SKU updates so reels stay repeatable, with clear provenance and consistent synthetic models across the catalog.
Confidence · high
- 04
Indie designer with a seasonal drop
Direct short reels in the browser GUI to match your brand aesthetic—then reuse the same saved model setup when you swap colors or patterns.
Confidence · high
- 05
Influencer creator at scale
Produce platform-native formats like 9:16 and 16:9 with click-led scene controls, keeping the same brand face across every platform post set.
Confidence · high
- 06
Adaptive fashion line operator
Generate outfit motion while selecting garment-led representations, then keep creative direction consistent for approvals across teams and partners.
Confidence · high
- 07
Lingerie DTC marketing team
Create tasteful studio-to-editorial reel options by adjusting lighting and backgrounds, ensuring logos and garment details align to your product design.
Confidence · high
- 08
Resale and vintage marketplace seller
Turn listings into labelled, reusable reel variations by selecting the garment attributes you own and maintaining consistency across repeated uploads.
Confidence · high
- 09
Factory-direct manufacturer
Generate repeatable product video assets from the same controls so your buyers get consistent visuals across seasonal updates and bulk drops.
Confidence · high
- 10
Brand student or studio-in-training
Learn real production control through a click-driven interface, then export reels with provenance signals for portfolio and class-ready publishing.
Confidence · high
- 11
Accessory brand content lead
Generate motion clips for handbags, watches, sunglasses, and jewelry with close-up and detail framing, while keeping the garment representation aligned.
Confidence · high
- 12
Marketplace operator building templates
Standardize reel creation across multiple sellers using the same UI controls and REST workflows, so output quality and labelling stay consistent.
Confidence · high
— Principle
Honest is better than perfect.
RAWSHOT outputs carry signed provenance metadata and watermarks, including visible and cryptographic layers. For fashion marketing workflows, that means reviewers can trust what they’re approving and procurement can understand provenance and labelling without guesswork. The approach is designed to align with EU AI Act Article 50 (effective 2 Aug 2026) and California SB 942, while operating with EU hosting and GDPR considerations.
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 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 fashion video control change for a brand team?
It turns creative direction into predictable settings you can repeat across campaigns and catalogs. Instead of re-rolling outcomes with vague intent, you choose camera motion, framing, lighting, background, and clip duration through the interface.
That matters when you’re launching variants weekly: teams can keep the same visual language while swapping garments, and reviewers can evaluate differences that came from controls rather than guessing what a prompt did.
Why avoid DIY prompting for on-model product reels?
Because garment-led work breaks quickly when you rely on typed instructions. Generic image AI often causes garment drift, invented logo placement, and inconsistent faces across outputs—problems that cost time during approvals.
RAWSHOT keeps the garment as the brief and uses synthetic, labelled models, with provenance and watermark cues included so your workflow stays auditable. You iterate using scene controls instead of prompt roulette.
How do we turn flat garments into catalogue-ready motion clips without prompts?
Start in the scene builder, then click your framing and lighting style to match your channel. Next, adjust camera motion and model action to create believable product movement while keeping the garment representation faithful.
When you need consistency across many SKUs, switch to REST API batching and reuse the same saved model setup for stable identity across the catalog.
How does RAWSHOT keep faces consistent across SKUs compared with generic AI?
RAWSHOT supports saving and reusing your model setup so the same face and body characteristics remain stable as you generate new SKUs. That reduces drift between outputs, which is a common issue when tools produce different likenesses each time.
For ecommerce, stable identity means faster creative review: you focus on the garment changes, not on matching the model across every variation set.
Are the outputs labelled and traceable for compliance workflows?
Yes. RAWSHOT provides C2PA-signed provenance metadata and watermarking that includes both visible and cryptographic layers, so outputs can be traced through review cycles.
This is designed to support transparent labelling and internal QA, helping teams document what they published and why it passed. It’s also aligned with EU AI Act Article 50 and California SB 942, with GDPR considerations under EU hosting.
What checks should marketing and ops teams do before publishing reels?
Verify garment fidelity first: check cut, color, pattern, and logo representation against your product files. Then confirm the scene choices you clicked—framing, lighting, background, and motion—match the campaign brief.
Finally, review the provenance cues and watermarking indicators on the output so approvals are consistent. With RAWSHOT, those signals are part of the deliverable, not an afterthought.
How should we budget video generation costs for fashion marketing?
Budget per second of video, since clip length drives token usage. Typical generations complete in about 50–60 seconds, and tokens never expire.
You also get operational safety: cancel is one click on the pricing page, and failed generations refund their tokens. That helps teams iterate when art direction needs quick adjustments.
Can we integrate reel generation into a catalog pipeline instead of doing it manually?
Yes. RAWSHOT includes a REST API designed for catalog-scale pipelines, so you can generate reels in batches while keeping the same control philosophy as the browser GUI.
That means you can pair SKU updates with automated creative production, while still relying on consistent model setups and labelled provenance for downstream approvals.
Will RAWSHOT scale across a team doing both single shoots and bulk runs?
It’s built for that split workflow. Creators can generate in the browser GUI for fast creative review, while ops can run REST API jobs for large catalogs without changing the underlying control approach.
Both paths produce outputs with consistent identity options, signed provenance, and full commercial rights so legal and marketing can operate with the same expectations across roles and production volumes.
Keep exploring