---
title: "Wan2 1 VAE BF16 in ComfyUI"
description: "Wan2 1 VAE BF16 is a VAE (Variational Autoencoder) that encodes and decodes latent representations."
canonical: https://comfy.org/p/supported-models/wan2-1-vae-bf16
lang: en
index: https://comfy.org/llms.txt
---

# Wan2 1 VAE BF16 in ComfyUI

Wan2 1 VAE BF16 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 Wan2 1 VAE BF16 with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There are 11 community workflow templates using Wan2 1 VAE BF16 on Comfy Workflows, ready to load and customize.

## Facts

- Type: VAE
- Pricing: free to run locally on your own hardware; on Comfy Cloud it meters as GPU time at the published Cloud GPU rate: https://docs.comfy.org/tutorials/partner-nodes/pricing#cloud-gpu
- Community workflow templates: 11
- Weights: https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1_VAE_bf16.safetensors

## How to run Wan2 1 VAE BF16

1. Locally in ComfyUI — open source, free on your own hardware: https://comfy.org/download
2. On Comfy Cloud — hosted GPUs, every parameter still exposed: https://cloud.comfy.org
3. Start from a community workflow template and adjust it node by node: https://www.comfy.org/workflows
4. From your own application with the Comfy SDKs (Python and TypeScript, beta): https://docs.comfy.org/development/api-development/sdks.md
5. From a terminal or a coding agent with Comfy CLI, which runs workflows on Comfy Cloud or a local ComfyUI: https://docs.comfy.org/agent-tools/cli.md
6. From Claude Code, Cursor, or Codex over Comfy MCP at https://cloud.comfy.org/mcp: https://docs.comfy.org/agent-tools/mcp.md

This page as HTML: https://comfy.org/p/supported-models/wan2-1-vae-bf16
Full model catalog: https://comfy.org/p/supported-models/llms.txt