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Dev tools · January 28, 2026

FASHN VTON v1.5 – open-source virtual try-on model

We’re open-sourcing FASHN VTON v1.5, a production-grade virtual try-on model. Given an image of a person and an image of a garment, the model generates a photorealistic try-on result. Model specs: - It operates directly in pixel space (no VAE) - Supports maskless inference by default, and was trained from scratch. - ~972M parameters, runs on consumer GPUs - Can run in ~5 seconds on H100 We built this as a focused alternative to large generalist models, with the goal of making a production-grade, specialized virtual try-on model. We’re releasing the weights, inference code, and architecture…

FASHN VTON v1.5 – open-source virtual try-on model launched on January 28, 2026 with 6 votes, #2,272 of 14,584 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 16% of January 2026

What it does

FASHN VTON v1.5: Efficient Maskless Virtual Try-On in Pixel Space - fashn-AI/fashn-vton-1.5

Virtual try-on model that generates photorealistic images directly in pixel space without requiring segmentation masks. This repo contains minimal inference code to run virtual try-on with the FASHN VTON v1.5 model weights. Given a person image and a garment image, the model generates a photorealistic image of the person wearing the garment. Supports both model photos and flat-lay product shots as garment inputs. git clone https://github.com/fashn-AI/fashn-vton-1.5.git cd fashn-vton-1.5 python -m venv .venv && source .venv/bin/activate pip install -e . Note: Installation includes onnxruntime-gpu for GPU-accelerated pose detection. Ensure CUDA is properly configured on your system. For…from github.com

In the maker’s words, at launch

We’re open-sourcing FASHN VTON v1.5, a production-grade virtual try-on model. Given an image of a person and an image of a garment, the model generates a photorealistic try-on result. Model specs: - It operates directly in pixel space (no VAE) - Supports maskless inference by default, and was trained from scratch.…

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