— Social & ecom · On-model photos · 150+ styles
Direct your next grid-ready drop with the AI Instagram Grid Generator.
Generate campaign-ready on-model imagery by clicking camera, framing, lighting, and background settings—no prompting required. Keep your look consistent across posts while the garment stays the brief, not a suggestion. No studio days. No samples shipped. No prompts.
- ~$0.55 per image
- ~30–40s per generation
- 150+ visual styles
- 2K / 4K output
- Any aspect ratio
- Full commercial rights, permanent, worldwide
7-day free trial • 50 tokens (10 images) • Cancel anytime


Direct the shoot. Zero prompts.
Pick your lens, framing, lighting, background, mood, and visual style. RAWSHOT maps each choice to a real on-model photo so your grid stays consistent across posts—without typing anything. 5 tokens · ~34s per image
- 6 clicks · 0 keystrokes
- app.rawshot.ai / new_shoot
How it works
Click-driven fashion shoots, not chat prompts
Build each grid image with buttons and sliders for camera, framing, and style—then generate with provenance and watermarking baked in.
- Step 01
Choose the camera settings
Click a lens, framing, pose, angle, lighting, background, mood, and visual style preset. Your creative intent lives in the controls, not a text box.
- Step 02
Direct the garment on-model
Select the product focus for your composition and generate on-model images that follow the real garment. Keep the look consistent from post to post with stable settings.
- Step 03
Generate, label, and publish
Download the result with C2PA-signed provenance and visible plus cryptographic watermarking cues. Use the same output across your grid or catalog flow with full commercial rights.
Spec sheet
Proof for grid consistency and control
Twelve distinct checkpoints show how RAWSHOT keeps the garment faithful, the models consistent, and the outputs publish-ready for social and commerce.
- 01
No-likeness by design
Synthetic models are built from 28 body attributes with 10+ options each, making accidental real-person likeness statistically negligible by design.
- 02
Click-driven UI, zero prompts
Every creative decision is a button, slider, or preset: camera, angle, distance, framing, pose, facial expression, lighting, and background.
- 03
Garment fidelity stays faithful
Cut, colour, pattern, logo, and fabric qualities are represented faithfully. The garment is the brief, and the result follows it.
- 04
Diverse synthetic models
Choose among transparently labelled synthetic models for on-model variety, while keeping style and framing under your control.
- 05
SKU consistency without drift
Save a model and reuse it across your catalog so the face and body stay consistent between SKUs and updates.
- 06
150+ visual style presets
Select from catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more—so your grid has a repeatable look.
- 07
2K/4K across every aspect ratio
Generate in 2K or 4K and choose the aspect ratio you need for social grids and ecommerce layouts.
- 08
Compliance and AI labelling
C2PA-signed provenance metadata and AI labelling align with EU AI Act Article 50 and California SB 942, with GDPR-compliant EU hosting.
- 09
Signed audit trail per image
Every generated image carries a signed audit trail, so production workflows can verify what was produced and when.
- 10
GUI for shoots, REST for scale
Use the browser GUI for single looks and the REST API for nightly catalog pipelines—same controls, same output quality.
- 11
Pricing and speed that stays stable
Still photos are priced per image at about $0.55 with roughly 30–40 seconds per generation; tokens never expire.
- 12
Full commercial rights
Get full commercial rights to every output, permanent and worldwide, so you can publish your grid without licensing uncertainty.
Outputs
On-model grid sets, ready to publish Consistent looks across posts
Generate cohesive on-model photo series for Instagram grids and ecommerce placements, with provenance and watermarking on every download.




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 camera, framing, lighting, and style—no text box.Category tools + DIY
Prompt-first workflows with fewer visual controls and weaker repeatability. DIY prompting: Typed prompts in ChatGPT / Midjourney / generic image AI, then re-prompting until it matches.02
Garment fidelity
RAWSHOT
Cut, colour, pattern, and logos follow the real garment as the brief.Category tools + DIY
Less garment-led control; outputs can drift from the product under prompt pressure. DIY prompting: Prompting encourages invented details—logos can be hallucinated or altered.03
Model consistency across SKUs
RAWSHOT
Save a model and reuse it so faces and bodies stay consistent across the catalog.Category tools + DIY
Model identity can vary between generations, causing inconsistent product storytelling. DIY prompting: DIY outputs often change faces between variants, creating a patchwork grid.04
Provenance + labelling
RAWSHOT
C2PA-signed provenance, visible plus cryptographic watermarking, and AI labelling.Category tools + DIY
Often lacks signed provenance and clear labelling for production audit needs. DIY prompting: No C2PA record or audit trail, plus no consistent labelling story for commerce teams.05
Commercial rights
RAWSHOT
Full commercial rights to every output, permanent and worldwide.Category tools + DIY
Licensing terms are frequently unclear or locked behind plans. DIY prompting: Rights can be unclear, especially when outputs were generated from prompt roulette.06
Iteration speed per variant
RAWSHOT
Repeat the same UI settings and generate again without rebuilding a prompt string.Category tools + DIY
Iteration often requires rewriting inputs and fighting unintended style changes. DIY prompting: Prompt-engineering overhead slows iteration, and results can vary unpredictably.07
Pricing transparency
RAWSHOT
Flat per-image pricing; tokens never expire and failed generations refund tokens.Category tools + DIY
Per-seat pricing and volume tiers can punish growth and delay production onboarding. DIY prompting: Cost comes from trial-and-error generations with no stable per-output budgeting.08
Catalog API
RAWSHOT
REST API for catalog-scale pipelines with the same controls as the GUI.Category tools + DIY
More limited integrations and less consistent output quality for bulk workflows. DIY prompting: DIY automation is hard because prompt wording and outputs drift between runs.
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
Build a cohesive grid, SKU by SKU
Operator archetypes and how click-directed, garment-first output fits the way they actually work.
- 01
Indie designer pre-release grids
Click campaign lighting and style presets to preview your launch lookbook while keeping the garment-led design consistent across multiple posts.
Confidence · high
- 02
DTC brand weekly content rotation
Reuse your saved model and generate 4:5 crops with matching lighting so every drop stays on-brand without reshoots.
Confidence · high
- 03
Catalog team nightly SKU updates
Run the REST API for batch generation so each new variant lands in the same grid aesthetic and product storytelling stays uniform.
Confidence · high
- 04
Influencer-style consistency on-model
Select aspect ratios and editorial moods, then generate a repeatable face and framing set for multi-platform campaigns.
Confidence · high
- 05
Resale and vintage sellers
Generate clean, consistent on-model product images for inventory listings when you cannot ship items to a studio.
Confidence · high
- 06
Factory-direct manufacturers
Produce marketing imagery for many styles with stable settings, then deliver consistent outputs across seasonal drops and product families.
Confidence · high
- 07
Kidswear and adaptive fashion lines
Choose framing and lighting that fit retail needs, then create on-model imagery that stays coherent across sizes and variants.
Confidence · high
- 08
Lingerie DTC lookbooks
Direct close-ups and detail framings with style presets for grid-ready editorial visuals without sample shipping.
Confidence · high
- 09
Accessory packs and multi-SKU compositions
Compose up to multiple products per frame, keeping background and mood stable so your grid reads like one campaign.
Confidence · high
- 10
Marketplace sellers with many variants
Generate consistent product imagery for listings and social using stable model reuse to avoid face and styling drift.
Confidence · high
- 11
Students learning ecommerce photography
Experiment with camera and style controls while keeping outputs consistent enough for class projects and portfolio grids.
Confidence · high
- 12
On-demand label production
Generate campaign imagery for new runs by directing settings in the browser GUI, then scaling via REST when volume arrives.
Confidence · high
— Principle
Honest is better than perfect.
Every output is C2PA-signed with AI labelling, visible plus cryptographic watermarking, and a signed audit trail per image. For an AI Instagram grid workflow, that means publish-ready provenance and compliance aligned with EU AI Act Article 50 and California SB 942.
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 Instagram grid generation change for a fashion ecommerce team?
You get a repeatable way to produce on-model photo sets for social grids while preserving garment-led fidelity across variants. Instead of reshooting every change, you keep the same creative intent in the controls and generate consistent images for each SKU update.
With RAWSHOT, you click camera, framing, lighting, background, and visual style presets, then generate in 2K or 4K. Each download includes C2PA-signed provenance and watermarking cues so publishing pipelines stay auditable.
Why skip reshooting every SKU for season updates and new colorways?
Because seasonal updates rarely move in lockstep with studios, shipping, and scheduling. Reshoots multiply cost and delay, especially when you need consistent faces and framing across many SKUs for retail and social.
RAWSHOT lets you save a model and reuse it across your catalog so the look doesn’t drift between posts. The garment stays the brief, and the output is delivered with signed audit trail per image and full commercial rights—permanent, worldwide.
How do we turn on-model product framing into grid-ready photos without prompting?
Start from the controls: select lens, framing, pose, angle, lighting, background, mood, and visual style, then choose the aspect ratio your grid needs. RAWSHOT generates the on-model result based on those exact selections.
For social workflows, this matters because your grid should feel like one campaign, not a random set of outputs. Pair consistent settings with the same saved model and generate again for each SKU.
How does garment-led control beat prompt roulette for fashion PDP images?
Prompt-based tools are optimized for text interpretation, so the product can shift between outputs even when your wording stays similar. Garment drift, invented logos, and inconsistent styling are common failure modes when the product isn’t the central brief.
RAWSHOT is engineered around the real garment, so cut, colour, pattern, logo, and fabric qualities are represented faithfully. You also get provenance: C2PA-signed metadata, visible plus cryptographic watermarking, and a signed audit trail per image.
Can we publish RAWSHOT outputs commercially without licensing uncertainty?
Yes. RAWSHOT provides full commercial rights to every output, permanent and worldwide, so ecommerce teams can plan campaigns without a shifting rights story.
Every download also includes transparent provenance signalling through C2PA-signed metadata and AI labelling. That combination makes it easier to run approvals internally while keeping your grid workflow moving.
What checks should we run before posting a new grid image set?
Confirm garment fidelity for cut, colour, pattern, and any branding on the garment, then verify the composition matches your planned framing and aspect ratio. If you’re building a multi-post series, ensure the saved model and style preset stay consistent across SKUs.
RAWSHOT outputs come with C2PA-signed provenance metadata, visible plus cryptographic watermarking cues, and a signed audit trail per image. Use those signals to support internal QA and final approval for publication.
How do token pricing and generation time work for still photos?
Still photos are priced per image at about $0.55, with roughly 30–40 seconds per generation. Tokens never expire, so you can plan batches around production schedules instead of chasing short-lived credits.
If a generation fails, tokens are refunded, and you can cancel with a one-click control from the pricing page. That keeps budgeting predictable for social grid production and ecommerce catalog updates.
Do we need REST API work to scale beyond a single browser photoshoot?
No—you can start in the browser GUI for single shoots and then move to the REST API when you need catalog-scale pipelines. The controls remain the same idea: click-driven settings rather than rewriting creative inputs each time.
For recurring drops, REST makes it possible to automate nightly variant generation while keeping model reuse and style consistency intact. Each output still includes C2PA-signed provenance metadata and watermarking cues for your publishing workflow.
What throughput can we expect when multiple roles collaborate on a grid pipeline?
Think in roles: creative teams direct the look with presets and controls, catalog ops batch-generate variants via REST, and approvals verify provenance and watermarking before publishing. That structure prevents prompt fragmentation between individuals and keeps the grid consistent over time.
Because RAWSHOT uses stable model reuse and explicit per-image pricing, your production process scales without per-seat gates. You can maintain the same visual language across posts while staying audit-ready for compliance and rights checks.
Keep exploring