I made ComfyUI nodes for virtual try-on using IDM-VTON
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
I made ComfyUI nodes for virtual try-on using IDM-VTON launched on May 1, 2024 with 5 votes, #1,921 of 4,539 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
ComfyUI adaptation of IDM-VTON for virtual try-on. - TemryL/ComfyUI-IDM-VTON
Does a similar job
all alternatives →- RARubbrband – A hosted ComfyUI alternative for image generation2024 · ▲61
Hey HN! My friends and I built a new platform for generating images. The app is easy to use for people who find ComfyUI hard to use, or just simply don’t have a GPU to use it on. For those not familiar, ComfyUI is a great tool for using open-source models like Stable Diffusion. It’s primarily great because it’s a node-based tool, which means you can chain together models, upscalers, prompting nodes, etc… which let you create images in the exact aesthetic you want. There’s also a vibrant dev community behind ComfyUI, which means that there are a ton of nodes and customizability. We’re users…
A free text-to-image website that supports SDXL Turbo2023 · comfyuiweb.com · ▲35The homepage of the website allows for free image generation, and in the workflows, there are introductions to nodes related to ComfyUI. In the AI tools section, Pixart-Alpha is currently available for free use. I am still updating this website, and feedback and communication are welcome.
FASHN VTON v1.5 – open-source virtual try-on modelJan 2026 · github.com · ▲6We’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…
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