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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

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

Upcoming App Updates: Collaboration, Parallel Tools, and a Smarter Credits System

A faster, more collaborative FASHN app is coming, with team workspaces, multiple outputs, parallel tool runs, and a new credit system that boosts flexibility while keeping plan pricing the same.

FASHN Team14 Kasım 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

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