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.
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.…
Does a similar job
all alternatives →
AI Fashion Model Generator2023 · vmake.ai · ▲260Create realistic try-on models for garments and accessories
- BVBenchmarking VLMs vs. Traditional OCR2025 · getomni.ai · ▲146
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…

I made ComfyUI nodes for virtual try-on using IDM-VTON2024 · github.com · ▲5Hey HN, 4 days ago I went through the impressive demo of IDM-VTON on HuggingFace. I found there was no ComfyUI adaptation of this new model. So I’ve implemented custom nodes in ComfyUI that allow anyone to perform virtual try-ons using IDM-VTON. Simply load an image of a model and a garment, and the node will generate a new image with the garment worn by the model. I would love to hear your thoughts and feedback! Cheers, Tom


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