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Powering FIFA World Cup Fan Experiences with FASHN Virtual Try-On

How From the Future integrated FASHN's virtual try-on API into two interactive FIFA and KIA Canada fan activations.

FASHN Team11 Ağustos 2026

Oku

Ghost Mannequin Photography: The Complete Guide (Studio, Photoshop, and AI)

Learn how to create the ghost mannequin effect for your product photos, from the full studio process with a mannequin and Photoshop to the AI way that turns one phone photo into a finished packshot.

Dan Bochman28 Temmuz 2026

Oku

Introducing the FASHN Skill for Coding Agents

The new FASHN skill helps Claude Code, Codex, Cursor, and other coding agents integrate FASHN into real projects with less documentation handoff. Learn how to install it, use it for project integration, and review the secure server-side pieces it adds.

Renan Ferreira11 Haziran 2026

Oku

Google Research and UW's FIT: What It Means for Virtual Try-On

FIT from Google Research and the University of Washington is the first large-scale fit-aware virtual try-on dataset with ground-truth body and garment measurements. We look at what is new, what is still missing, and what it could mean for virtual try-on experiences going forward.

Dan Bochman17 Nisan 2026

Oku

How to Add Virtual Try-On to Your Store Like Zara

Zara added virtual try-on to their app, and the reviews are positive. Here's why it matters for every fashion store, and how you can add the same feature to yours using the FASHN API.

Aya Bochman15 Nisan 2026

Oku

Fashion AI: 7 Key Use Cases in 2026

Fashion AI is reshaping the industry from design to delivery. Explore 7 key use cases, from virtual try-on and AI photography to smart personalization, driving fashion forward in 2026.

Brenda Barron23 Şubat 2026

Oku

Open-Sourcing FASHN VTON v1.5: Maskless Virtual Try-On in Pixel Space

We're open-sourcing FASHN VTON v1.5, a segmentation-free virtual try-on model that generates photorealistic results directly in pixel space.

FASHN Team27 Ocak 2026

Oku

Open-Sourcing FASHN Human Parser: Production-Grade Semantic Segmentation for Fashion

We're releasing a state-of-the-art human parsing model to the open-source community. A SegFormer-B4 fine-tuned for fashion applications, available via PyPI, HuggingFace, and GitHub. This is the first step in open-sourcing our virtual try-on stack.

FASHN Team11 Ocak 2026

Oku

How to Create Consistent On-Model Product Images with AI

Learn two proven methods to create consistent AI models for on-model product images. Use Try On to re-dress existing models or Face Reference to generate new poses while maintaining the same model identity across all your visuals.

Brenda Barron30 Aralık 2025

Oku

Create Cozy, On-Brand Holiday Visuals in Minutes with FASHN AI

Turn plain product photos into festive, on-brand holiday visuals with FASHN AI. From cozy family scenes to matching Christmas sweaters, you can create warm, professional campaign imagery in minutes.

Brenda Barron7 Kasım 2025

Oku

Beyond Apparel: How AI Turns Accessory Photography from Flat Lays into Editorial Imagery

AI is finally catching up with fashion accessories. From jewelry and handbags to scarves and shoes, brands can now create lifelike, editorial-quality images and videos that capture texture, light, and emotion from a single source image.

Brenda Barron15 Ekim 2025

Oku

AI Fashion News 2025: How Brands Are Using AI in Campaigns

AI is becoming mainstream in fashion, powering campaigns and catalogs as disclosure and ethics questions grow. Major brands already use it; see how it’s done.

Brenda Barron1 Ekim 2025

Oku