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…
What it does
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. - ~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 details under an Apache-2.0 license. Would love to hear your thoughts!
Does the same job
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- IMI made ComfyUI nodes for virtual try-on using IDM-VTON2024 · github.com · ▲5
Hey 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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