— On-model imagery · 150+ styles · 2K/4K
Direct your next collection shoot with the AI Thigh Photography Generator.
Get campaign-ready fashion imagery from your real garment, directed with buttons and sliders—not typed instructions. Dial lens, framing, pose, lighting, background, and visual style in the RAWSHOT GUI until the product looks like your brand. No studio days. No samples. No prompts.
- ~$0.55 per image
- ~30–40s per generation
- Tokens never expire
- C2PA-signed provenance
- Full commercial rights, permanent, worldwide
- Cancel in one click
7-day free trial • 50 tokens (10 images) • Cancel anytime


Direct the shoot. Zero prompts.
You click to choose lens, framing, lighting, background, and style, then generate. The garment stays the brief so the look matches your product cut, color, and pattern. 5 tokens · ~34s per image
- 6 clicks · 0 keystrokes
- app.rawshot.ai / new_shoot
How it works
Click-driven shoots that stay product-faithful
Direct your on-model imagery with presets and sliders, then generate outputs with signed provenance and publishing-ready rights.
- Step 01
Choose your on-model framing
Click lens, framing, pose, and camera angle until the garment sits the way your buyer expects. The controls mirror real shoot decisions, not text instructions.
- Step 02
Lock the look with style and light
Select background, lighting, mood, and a visual style preset. RAWSHOT keeps the garment faithful to cut, color, pattern, logo, and fabric so the product stays consistent.
- Step 03
Generate, then keep provenance
Generate the image and review watermarked output. Every export carries C2PA-signed provenance with an audit trail for your publishing workflow.
Spec sheet
Proof that the garment leads
Twelve proof surfaces for thigh-led on-model work: consistent models, style breadth, sharp 2K/4K output, and signed provenance.
- 01
No-likeness by design
Your models are synthetic composites built from 28 body attributes with 10+ options each, making accidental real-person likeness statistically negligible by design.
- 02
Zero prompts in the workflow
Every creative decision is a button, slider, or preset. You direct the shoot with controls in the RAWSHOT interface, not typed instructions.
- 03
Garment fidelity, first
Cut, color, pattern, logo, and fabric drape are represented faithfully. The garment is the brief, so the product doesn’t drift between outputs.
- 04
Synthetic models with diversity
Explore diverse synthetic models and transparent AI-labelling. Your casting stays consistent for a brand face without copying real individuals.
- 05
SKU consistency without drift
Save the model once and reuse it across your catalog. Same face, same body—no retakes and no mismatched look across SKUs.
- 06
150+ visual style presets
Switch between catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more. The preset set supports multiple brand lanes.
- 07
2K/4K and every aspect ratio
Export in 2K or 4K with all common aspect ratios. Build grid-ready imagery for PDPs and campaign tiles without reformatting compromises.
- 08
Compliance you can publish with
C2PA-signed outputs, EU AI Act Article 50 alignment effective 2 Aug 2026, and California SB 942 compliance—plus visible and cryptographic watermarking.
- 09
Signed audit trail per image
Each generation carries signed provenance metadata so your team can trace what was created and when—useful for review, brand QA, and audits.
- 10
GUI for single shoots, REST for scale
Use the browser GUI for one-off approvals, and the REST API for catalog-scale pipelines. Same quality and controls across both paths.
- 11
Speed with predictable token pricing
Photos run in ~30–40 seconds and are priced per image, with tokens that never expire. Failed generations refund tokens.
- 12
Full commercial rights, permanent
Full commercial rights to every output, permanent and worldwide. Publish with confidence across your stores and marketing channels.
Outputs
On-model outputs ready for publishing Thigh-led frames with brand consistency
Browse example compositions across catalog-clean and editorial looks. Each output includes signed provenance and clear licensing for commerce teams.




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 controls for lens, framing, lighting, and style—no typed steps.Category tools + DIY
Often shorter control sets, heavier reliance on text-style inputs. DIY prompting: Typed instructions in a chat or image model; results depend on wording.02
Garment fidelity
RAWSHOT
Garment-led generation that keeps cut, color, pattern, and drape faithful.Category tools + DIY
Less garment fidelity; the product can mutate from variant to variant. DIY prompting: Garment drift is common—logos or proportions can change across outputs.03
Model consistency across SKUs
RAWSHOT
Save a model and reuse it across your catalog to prevent face/body drift.Category tools + DIY
Consistency can break between outputs without strict model reuse. DIY prompting: Inconsistent faces across generations make SKU sets hard to publish.04
Provenance + labelling
RAWSHOT
C2PA-signed provenance metadata with visible and cryptographic watermarking.Category tools + DIY
No clean provenance story and limited labelling for compliance workflows. DIY prompting: Missing provenance metadata makes internal approvals and audits harder.05
Commercial rights
RAWSHOT
Full commercial rights to every output, permanent, worldwide.Category tools + DIY
Unclear licensing and weaker commercial-rights clarity for teams. DIY prompting: Rights are often ambiguous; teams struggle to define what they can publish.06
Iterate speed per variant
RAWSHOT
Generate per image with stable controls you can repeat reliably.Category tools + DIY
Iteration can require re-guessing controls or compensating for drift. DIY prompting: Prompt-engineering overhead slows iteration and adds variability.07
Pricing transparency
RAWSHOT
Per-image pricing with predictable timing and token refund on failures.Category tools + DIY
Per-seat pricing and volume tiers that can punish growth. DIY prompting: Costs vary by platform and usage patterns; scaling becomes unpredictable.08
Catalog API
RAWSHOT
REST API for batch generation with the same quality as the GUI.Category tools + DIY
Catalog workflows are often bolt-on, with limited automation surfaces. DIY prompting: No consistent API pipeline for SKU-scale reproducibility and approvals.
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
Operator-ready shoots for catalog and campaign teams
Operator archetypes and how click-directed, garment-first output fits the way they actually work.
- 01
Indie designer launching a new drop
You click a campaign preset, frame the garment for product storytelling, and publish without waiting for studio days.
Confidence · high
- 02
DTC brand refreshing PDPs per size run
You reuse one saved model and generate SKU images quickly so your product pages stay consistent.
Confidence · high
- 03
Crowdfunding creator updating lookbook pages
You iterate visual style and lighting in the GUI until the look matches the pitch visuals.
Confidence · high
- 04
Kidswear team producing safe, repeatable batches
You generate many outfits with consistent framing and signed provenance for internal approvals.
Confidence · high
- 05
Adaptive fashion line preparing inclusive listings
You select controlled framing and mood presets so every listing photo stays aligned to the garment.
Confidence · high
- 06
Lingerie DTC building an editorial lineup
You dial studio lighting and 4K export for campaign tiles while keeping product cut and fabric faithful.
Confidence · high
- 07
Resale seller standardizing vintage listings
You create consistent on-model shots per item so buyers see comparable views across the marketplace.
Confidence · high
- 08
Marketplace operator scaling multi-SKU catalogs
You run batch generation through the REST API and keep the same brand-facing model across variants.
Confidence · high
- 09
Factory-direct manufacturer building seasonal catalogs
You generate catalog-ready images in predictable time per image to meet tight seasonal deadlines.
Confidence · high
- 10
Makers and students building publishable portfolios
You use the GUI to learn professional framing decisions without prompt syntax overhead.
Confidence · high
- 11
Influencer working from a consistent brand face
You generate platform-ready aspect ratios with matching styling so every post aligns with the same look.
Confidence · high
- 12
Ecommerce catalog team running nightly updates
You generate thousands of SKU images with stable controls and clear rights, then push to storefronts.
Confidence · high
— Principle
Honest is better than perfect.
RAWSHOT outputs are C2PA-signed and watermarked with visible and cryptographic signals, so your publishing workflow has traceable provenance. This supports compliance needs around EU AI Act Article 50 alignment and California SB 942, with AI-labelling designed to be understood by teams.
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 AI-assisted fashion photography change for SKU-scale catalogs?
You get on-model imagery that stays repeatable across your catalog workflow. Instead of re-shooting for every update, you generate fresh variants with stable framing, lighting, and visual style controls while keeping the garment faithful to cut, color, and pattern.
RAWSHOT also attaches C2PA-signed provenance and watermarks to each export, so approvals and publishing checks stay consistent between designers, QA, and catalog operations.
Why skip reshooting every product when seasons update quickly?
Because each reshoot costs both time and real-world logistics—studio days, samples, scheduling, and shipping—before you even start editing. RAWSHOT lets you iterate product imagery in the browser GUI while preserving garment fidelity and visual continuity across variations.
You save a model once, then reuse it across your SKU set to prevent face/body drift, while exports remain permanently usable with full commercial rights worldwide.
How do we turn flat garments into catalog-ready on-model images without text instructions?
You click the creative controls that correspond to professional shoot decisions: lens, framing, pose, angle, lighting, background, and a visual style preset. Then you generate and review the output directly inside RAWSHOT.
For thigh-led listings, this means you can lock the composition and mood for clean PDP tiles, while the garment stays the brief so logos and proportions don’t wander across outputs.
Why does garment-led control beat prompt roulette for fashion PDP photos?
Prompt roulette creates unpredictable results: garment drift, invented branding, and inconsistent faces across generations. With RAWSHOT, the interface is built around the product, so cut, color, pattern, and drape are represented faithfully each time.
When you’re publishing a SKU set, consistency is the real advantage—RAWSHOT supports model reuse and keeps output provenance explicit for approvals.
Are RAWSHOT outputs clearly labelled for compliance and reviews?
Yes. Every output includes C2PA-signed provenance plus visible and cryptographic watermarking, and the system provides AI-labelling designed for team transparency.
This matters when your brand has review gates, legal checks, or platform compliance expectations. You can keep an audit trail per image and handle publishing with a clearer record than unlabelled outputs.
What checkpoints should we run before using new generated images on the storefront?
Start with garment fidelity: verify cut, color, pattern, logo placement, and drape match the actual product. Then check model consistency for the SKU set and confirm the selected framing, lighting, and visual style align to your brand guidelines.
Because RAWSHOT exports are watermarked and C2PA-signed with audit trail metadata, teams can review provenance cues during QA without hunting for hidden documentation.
How do token timing and pricing work for still photos in busy production weeks?
Still photos are priced per image at about ~$0.55 and typically generate in ~30–40 seconds. Tokens never expire, you can cancel in one click, and failed generations refund tokens.
That predictability helps shoppers plan production bursts for drops, promotions, and seasonal catalog refreshes while keeping output timing stable for review queues.
Can we integrate RAWSHOT into a catalog workflow with a REST API?
Yes. RAWSHOT supports a REST API for catalog-scale pipelines, while the browser GUI works for single-shoot approvals. This lets your team reuse the same controls conceptually across exploratory work and batch production.
For operations, the advantage is consistent output handling—provenance, watermarking cues, and rights framing stay part of the generated assets as you automate SKU uploads.
How can a small team keep throughput high without losing visual consistency?
Use the GUI for rapid approvals, then move to the REST API for batch generation once framing, style, and model consistency are locked. Saving a model once and reusing it across your catalog prevents drift between shoots, so your look stays coherent.
With full commercial rights on every output and signed provenance metadata, your team can ship faster while keeping QA and publishing checks straightforward.
Keep exploring