FASHN AI vs Adstronaut AI for virtual try-on and on-model photography
Updated June 10, 2026 · Fact-checked against vendor pricing pages and primary sources
FASHN AI is a virtual try-on engine that places a garment onto a model image — your own or an AI one — in under 10 seconds for about $0.075 per image via API, or from $19/month in its app. Adstronaut AI runs a directed photoshoot instead: 22 named models, 8 poses, 12 named scenes, plus a multi-angle lookbook and a full design suite, for about $1 per image (5 credits).
FASHN AI vs Adstronaut AI: the quick verdict
FASHN AI and Adstronaut both turn a garment into on-model imagery without a studio, but they are built for different jobs. FASHN AI is a virtual try-on specialist — a deep, fashion-trained engine (pre-trained on roughly 18 million try-on examples) that takes a garment from a flat-lay, ghost-mannequin, or on-model reference and renders it onto a model image in under 10 seconds, preserving prints, texture, and color (FASHN virtual try-on). It is priced to scale: about $0.075 per image on the API, dropping below $0.05 on commitment tiers (FASHN API pricing). Its wedge is being an API-first try-on primitive plus a lean app — fast, cheap, and embeddable.
Adstronaut inverts the priorities. The AI Photoshoots tool runs a directed shoot — 22 named models (12 women, 10 men), 8 specific poses, 12 named scenes, plus 36 lifestyle presets — and wraps a multi-angle Lookbook and a full design suite (recoloring, fabric swaps, tech packs) around it, at about $1 per image. Choose FASHN AI if you want the lowest per-image cost for high-volume try-on, or an API to embed in your own product. Choose Adstronaut if you need a complete photoshoot — named models, directed poses, scene control, multi-angle lookbooks, and non-apparel categories. The rest of this page is the evidence.
FASHN AI vs Adstronaut AI, side by side
FASHN sells two ways: a usage-priced API and a tiered app subscription. Adstronaut prices per credit, with a photoshoot image at 5 credits. Prices below are the published 2026 figures.
| Factor | FASHN AI | Adstronaut AI |
|---|---|---|
| Price (API) | ~$0.075 per image on-demand; ~$0.049–$0.068 on commitment tiers; 100-credit ($7.50) minimum | No public API; per-credit only |
| Price (app) | Basic $19/mo (200 credits) · Pro $49/mo (750) · Agency $99/mo (1,500) · Agency 2× $199/mo (3,000) | Plans from $29/mo (125 credits); a photoshoot image is 5 credits — ~$1 each ($0.62–$1.16) |
| Free to try | 10 complimentary credits on signup | Free plan, 25 credits — 1 image/run, 6 models, watermarked preview |
| Core job | Virtual try-on: swap a garment onto a model image | Directed AI photoshoot from one garment photo |
| AI models | Model Studio generates reusable custom models from templates; no fixed named roster | 22 named models (12 women, 10 men), consistent face across every pose and scene |
| Poses | Adapts to the pose in your reference; no structured pose picker | 8 named poses (full-length, hands-on-hip, dynamic walk, side profile, detail close-up, over-the-shoulder, seated, leaning) |
| Scenes / backgrounds | Model Swap changes scenery contextually; no named scene library | 12 named scenes + 36 lifestyle presets for social |
| Input types | On-model, flat-lay, ghost-mannequin references | Flat-lay, mannequin, dress-form, or amateur on-model — auto-detected |
| Multi-angle views | Single try-on per credit; no structured multi-angle set | Lookbook Creator: 35 view types across 10 product classes, batch up to 10 products |
| Outfit assembly | Layer up to 3 products per try-on via prompt | 4 outfit slots (top, bottom, full-body, footwear) assembled on one model |
| Garment fidelity | Fashion-trained on ~18M examples; preserves prints, texture, color | Fashion-tuned for pattern, color, texture, seam and hardware transfer |
| Category limits | Excludes swimwear and lingerie from training | Swimwear and varied apparel supported; non-apparel via Lookbook |
| Non-apparel | Apparel-focused (plus hats, scarves, shoes) | Footwear, bags, eyewear, jewelry, beauty, home, tech via Lookbook |
| API / embedding | Yes — API-first, plus a fal.ai listing | No public API; web app only |
| Beyond photography | Try-on, model swap, edit, reframe, image-to-video, background remove | Recolor, fabric swap, tech packs, product tagging, design variations |
| Best for | High-volume or API-embedded virtual try-on at the lowest per-image cost | Brands needing a directed photoshoot, multi-angle PDPs, or non-apparel categories |
FASHN pricing per its API pricing help page (1 credit/try-on, $0.075/credit on-demand, tiered discounts) and app pricing page (Basic–Agency 2× plans). Adstronaut figures per its pricing page and AI Photoshoots configuration.
Choose Adstronaut if… / Choose FASHN AI if…
Choose Adstronaut AI if…
- ✓You need to direct the shot — pick one of 8 named poses and one of 12 named scenes — instead of inheriting whatever pose your reference image happens to hold.
- ✓You want a multi-angle PDP: the Lookbook Creator renders 35 view types across 10 product classes, not a single try-on per credit.
- ✓You sell swimwear — a category FASHN explicitly excludes from its training — or layered looks that need a consistent named model across the set.
- ✓You sell beyond apparel — footwear, bags, eyewear, jewelry, beauty, home — and want class-correct views from one tool.
- ✓You want photography plus recoloring, fabric swaps, and factory-ready tech packs in the same credit balance, not a single try-on primitive.
Choose FASHN AI if…
- ✓You ship very high image volume and the ~$0.075 (or sub-$0.05 committed) per-image floor is your dominant cost.
- ✓You're a developer who wants to embed try-on in your own product — FASHN is API-first and listed on fal.ai.
- ✓Your job is literally swapping a garment onto an existing model photo while preserving its exact pose, which FASHN does in under 10 seconds.
- ✓You want AI image-to-video alongside stills, which FASHN offers and Adstronaut doesn't.
- ✓You're building a storefront try-on widget where shoppers visualize a garment on a reference body, not a curated marketing shoot.
Some brands use both: FASHN for high-volume try-on and the embedded widget, Adstronaut for the directed hero shoots, multi-angle galleries, and non-apparel SKUs.
The per-image math, visualized
How much does each actually cost?
FASHN sells two ways. The API charges 1 credit per virtual try-on at $0.075 per credit on-demand, with a 100-credit ($7.50) minimum purchase; commitment tiers drop the rate to $0.0675, $0.0600, and $0.0488 per credit as volume rises — under five cents an image at the top tier (FASHN API pricing). The app is a flat subscription: Basic $19/month (200 credits), Pro $49/month (750 credits + 50 daily), Agency $99/month (1,500 + 100 daily), and Agency 2× $199/month (3,000 + 200 daily) (FASHN app pricing). A standard try-on is 1 credit; higher-resolution Quality mode runs up to 3, and a face reference adds 2. New accounts get 10 complimentary credits. At any read, FASHN is the cheaper engine per image, and that is the honest headline.
Adstronaut prices per credit. A photoshoot image is 5 credits: on Standard ($29/month, 125 credits) that is 25 images at about $1.16 each; on Pro ($69/month, 375 credits) about $0.92; on annual Studio about $0.62. Call it ~$1 per image, $0.62–$1.16. The free plan includes 25 credits — enough to preview real output (1 image per run, 6 models, watermarked) before paying. The honest read: FASHN undercuts Adstronaut on the raw image price by roughly 10×, but Adstronaut's credit buys a different unit of work — a directed image with a chosen model, pose, and scene, plus access to the recoloring, fabric-swap, and tech-pack tools in the same balance. The fashion photoshoot cost guide puts both against the $5,000–$15,000-per-day studio baseline.
Try-on versus a directed photoshoot
This is where the two tools genuinely diverge. FASHN's core operation is virtual try-on: you give it a model image and a garment, and it renders the garment onto that body, preserving the model's existing pose (FASHN virtual try-on). Its Model Studio adds the ability to generate reusable custom AI models from templates in about five seconds, and a Model Swap that changes the model and scenery while keeping the garment and pose intact (Model Studio launch). That is powerful and fast — but it is template-and-reference driven. There is no fixed named roster, no structured pose picker, and no named scene library; the pose comes from your reference, and backgrounds are swapped contextually rather than chosen from a list.
Adstronaut is built as a photoshoot. There are 22 named models (12 women, 10 men), each with a consistent face and proportions across every render, so a whole collection reads as one shoot. You then choose from 8 named poses — full-length front, hands-on-hip, dynamic walk, side profile, detail close-up, over-the-shoulder, seated, leaning — and 12 named scenes (Studio Mocha Mousse, Tropical Greenhouse, Santorini Sunscape, Villa Poolside and more), plus 36 lifestyle presets for social. The E-commerce workflow also assembles a full outfit from 4 slots (top, bottom, full-body, footwear) onto a single model. Where FASHN gives you a fast, faithful swap that inherits the reference, Adstronaut gives you a shot you art-direct from a menu — the difference between altering a photo and staging one.
Multi-angle galleries, categories, and garment fidelity
FASHN returns one try-on per credit. To build a full product-detail page you re-run it per reference, and there is no structured multi-angle set tied to a product class — its own roadmap notes try-on handles front, back, and three-quarter from suitable references, but the angle still comes from the reference you supply. Adstronaut's Lookbook Creator is purpose-built for that gap: 35 view types across 10 product classes, batching up to 10 products with up to 3 reference images each, so a footwear SKU gets lateral and medial profiles, front toe and back heel, while a bag gets hardware detail and scale reference — all in one consistent gallery.
On fidelity, both tools are fashion-trained and both are strong — FASHN's engine, trained on roughly 18 million examples, is genuinely excellent at preserving prints, texture, and color in a swap. The honest distinctions are category and unit of work. FASHN excludes swimwear and lingerie from its training for responsible-generation reasons, so those categories fall outside it; Adstronaut handles swimwear and adds non-apparel classes (footwear, bags, eyewear, jewelry, beauty) through the Lookbook. Both share the caveat every AI tool does: the model drafts from what it can see, so a hidden construction detail is something you confirm against your sample. If color accuracy is the priority across a recolor, the per-zone Color Changer holds Pantone references through the change.
When FASHN AI is the better choice
Adstronaut does not win every scenario, and saying so keeps this page honest. FASHN AI is the better tool when your job is high-volume virtual try-on and per-image cost is the metric that matters. At ~$0.075 per image on-demand — and below $0.05 on a committed tier — nothing in Adstronaut's pricing matches that floor for a brand pushing thousands of try-ons a month. FASHN is also the right call when you need an API to embed try-on inside your own product — a storefront widget where a shopper visualizes a garment on a reference body — since it is API-first and listed on fal.ai. It adds image-to-video, model swap, edit, reframe, and background-remove endpoints, and its under-10-second swaps are hard to beat for raw throughput.
The pattern several brands land on is hybrid: FASHN for the high-volume try-on and the embedded widget, Adstronaut for the directed hero shoots, the multi-angle galleries, the swimwear and non-apparel SKUs. If you want to weigh more than these two engines, the best AI photoshoot tools roundup scores the wider field on output quality, model diversity, and per-image cost, and the Botika vs Adstronaut comparison covers another model-swap specialist.
Trying Adstronaut alongside FASHN AI: the 4-step run
There's no migration — keep FASHN running for high-volume try-on and test Adstronaut on the styles where directed poses, named scenes, or multi-angle galleries matter most.
- 1
Pick a hero style or a category FASHN can't shoot
An outerwear piece, a layered look, or a swimwear SKU — swimwear sits outside FASHN's training, and hero styles benefit most from a directed shot. - 2
Run an AI Photoshoot
Upload the garment to AI Photoshoots, pick one of 22 named models, choose your poses (5 credits each) and one of 12 named scenes, and generate. The free plan gives you a watermarked preview first. - 3
Build the multi-angle gallery
Send the same product to the Lookbook Creator for front, back, side, and detail views — the structured PDP set in one batch, not a per-reference re-run. - 4
Compare and split your pipeline
Keep FASHN for high-volume try-on and any embedded storefront widget; route directed hero shoots, multi-angle PDPs, swimwear, and non-apparel SKUs to Adstronaut.
Which should you choose?
Developers and high-volume sellers whose core need is swapping a garment onto a model image — especially inside their own product via API — get the most from FASHN's per-image floor and embeddable endpoints. Brands shipping directed marketing imagery (chosen model, pose, and scene), selling swimwear or beyond apparel (footwear, bags, eyewear, jewelry, beauty), or building multi-angle PDPs get more from Adstronaut, where a curated roster, named poses and scenes, and class-correct lookbooks actually exist. Performance marketers who A/B-test creative benefit from Adstronaut's directed poses and 36 lifestyle presets; DTC founders building full PDPs benefit from the multi-angle Lookbook.
If photography is one job inside a larger pipeline — recoloring a drop, swapping fabrics per region, generating a tech pack — Adstronaut keeps it in one credit balance. For the wider field, see the best AI photoshoot tools roundup, the photoshoot cost breakdown, and the Photoroom vs Adstronaut comparison for the editing-tool angle.
Frequently asked questions
What is the difference between FASHN AI and Adstronaut AI?
FASHN AI is a virtual try-on engine — it places a garment from a flat-lay, ghost-mannequin, or on-model reference onto a model image in under 10 seconds, for about $0.075 per image via API or from $19/month in its app. Adstronaut runs a directed photoshoot instead: you pick one of 22 named models, one of 8 poses, and one of 12 named scenes, get a multi-angle Lookbook, and access recoloring, fabric swaps, and tech packs in the same tool — at about $1 per image.
Why do people switch from FASHN AI to Adstronaut?
Three reasons recur: direction (FASHN inherits the pose from your reference and has no structured pose or named-scene picker, while Adstronaut offers 8 poses and 12 scenes you choose from a menu); breadth (FASHN excludes swimwear and lingerie from its training and focuses on try-on, while Adstronaut covers swimwear and non-apparel categories); and multi-angle PDPs (FASHN returns one try-on per credit, while Adstronaut's Lookbook Creator produces 35 structured view types across 10 product classes in one batch).
Is FASHN AI cheaper than Adstronaut?
On raw per-image price, yes — by roughly 10×. FASHN's virtual try-on is 1 credit at $0.075 per image on-demand, dropping below $0.05 on commitment tiers, against Adstronaut's ~$1 per image (5 credits, $0.62–$1.16). But the two credits buy different units of work: Adstronaut's credit produces a directed image with a chosen model, pose, and scene, plus access to recoloring, fabric swaps, and tech packs. For varied catalogs and marketing imagery, the cost-per-usable-asset can favor Adstronaut even though the per-image sticker is higher.
Can FASHN AI handle swimwear?
No. FASHN explicitly excludes swimwear and lingerie from its training dataset for responsible-generation reasons, so those categories fall outside the engine. Adstronaut handles swimwear and varied apparel, and adds non-apparel classes — footwear, bags, eyewear, jewelry, beauty — through the Lookbook Creator.
Does either tool generate multiple angles of the same product?
FASHN returns one try-on per credit; building a full PDP means re-running per reference image, with no structured multi-angle set. Adstronaut's Lookbook Creator is purpose-built for it — 35 view types across 10 product classes (front, back, side, detail, plus class-specific views like front toe and back heel for footwear), batching up to 10 products in one consistent gallery.
Does Adstronaut have an API like FASHN AI?
No. FASHN is API-first — it offers virtual try-on, model create, model swap, edit, reframe, image-to-video, and background-remove endpoints, and is listed on fal.ai — which makes it the better fit if you need to embed try-on inside your own product or storefront widget. Adstronaut is a web app focused on the full design-to-photoshoot workflow rather than embeddable primitives.
Do I need model release forms for either tool?
No. Both render garments on synthetic AI models, not real people, so there are no model releases, likeness rights, or royalty fees. Adstronaut's outputs are commercially licensed on paid plans for storefronts, ads, social, and email; FASHN's app and API outputs are generated for commercial fashion use.
What does Adstronaut offer that FASHN AI doesn't?
A directed photoshoot rather than a swap — 22 named models, 8 named poses, 12 named scenes, 36 lifestyle presets, a 4-slot outfit assembler, and a multi-angle Lookbook (35 view types, 10 product classes). It also covers swimwear and non-apparel categories and wraps a design suite around photography: per-zone Pantone recoloring, fabric swaps, factory-ready tech packs, and product tagging, all in one credit balance.
What does FASHN AI offer that Adstronaut doesn't?
A much lower per-image price (~$0.075 on-demand, under $0.05 committed), a developer API you can embed in your own product, sub-10-second try-on throughput, and image-to-video generation. For a brand pushing high-volume virtual try-on, or a team building a storefront try-on widget, FASHN is the better-fitting engine.
Can I try both for free?
Yes. FASHN gives every new account 10 complimentary credits to test. Adstronaut's free plan includes 25 credits and lets you preview real output (1 image per run, 6 models, watermarked) before choosing a paid plan from $29/month.
Run your first AI photoshoot free
Skip the single-swap try-on. Upload one garment photo, pick a named model, choose your poses and a scene, and Adstronaut renders a directed on-model shoot in minutes. First photoshoot free as a watermarked preview, then about $1 per image in credits.
Try AI PhotoshootsKeep comparing
Sources and further reading
- FASHN AI — API on-demand & commitment pricing — virtual try-on 1 credit at $0.075/credit on-demand; tiers $0.0675/$0.0600/$0.0488; 100-credit ($7.50) minimum (2026)
- FASHN AI — app subscription plans — Basic $19/200cr · Pro $49/750cr · Agency $99/1,500cr · Agency 2× $199/3,000cr; 10 free credits on signup (2026)
- FASHN AI — Virtual Try-On product page — on-model/flat-lay/ghost-mannequin inputs; under 10s; up to 3 products; swimwear and lingerie excluded; up to 4K
- FASHN AI — Model Studio launch — create reusable models from templates in ~5s; Model Swap changes model and scenery preserving garment and pose
- FASHN AI — API product overview — endpoints: try-on, product-to-model, model create/variation/swap, edit, reframe, image-to-video, background remove
- Photta — FASHN AI pricing & reviews 2026 — third-party summary of FASHN plan pricing and per-image economics