VAE
Qwen Image Layered Vae in ComfyUI
2 workflows use this model
What is Qwen Image Layered Vae?
Qwen Image Layered Vae is a VAE (Variational Autoencoder) that encodes and decodes latent representations. You can run it locally in ComfyUI with full control over every parameter, or access it through Comfy Cloud. ComfyUI's node-based workflow editor lets you connect Qwen Image Layered Vae with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There are 2 community workflow templates using Qwen Image Layered Vae on Comfy Workflows, ready to load and customize.
Read the full tutorial →Frequently Asked Questions
Qwen Image Layered Vae is a VAE (Variational Autoencoder) that encodes and decodes latent representations. You can run it locally in ComfyUI with full control over every parameter, or access it through Comfy Cloud. ComfyUI's node-based workflow editor lets you connect Qwen Image Layered Vae with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There are 2 community workflow templates using Qwen Image Layered Vae on Comfy Workflows, ready to load and customize.
Follow the step-by-step tutorial at https://docs.comfy.org/tutorials/image/qwen/qwen-image-layered. You can also load any of the 2 community workflow templates that use Qwen Image Layered Vae directly in ComfyUI.
There are 2 community workflow templates that use Qwen Image Layered Vae on Comfy Workflows. Each template is ready to run in ComfyUI and can be customized to suit your project.
ComfyUI is free and open source. Qwen Image Layered Vae weights are available to download from Hugging Face. You only pay for compute when running on Comfy Cloud; local inference on your own hardware is always free.