# Wan T2v Video

Build WAN 2.2 Text-to-Video workflows.

- Repository: https://github.com/artokun/comfyui-mcp (883 stars)
- Category: Media
- License: MIT
- Last updated: 2026-10-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add artokun/comfyui-mcp --skill wan-t2v-video -g -a claude-code -y`
Codex: `npx skills add artokun/comfyui-mcp --skill wan-t2v-video -g -a codex -y`
Cursor: `npx skills add artokun/comfyui-mcp --skill wan-t2v-video -g -a cursor -y`
Gemini CLI: `npx skills add artokun/comfyui-mcp --skill wan-t2v-video -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add artokun/comfyui-mcp`

## Description

Build WAN 2.2 Text-to-Video workflows. Dual hi-lo models, lightning LoRAs, VACE modules, and KSamplerAdvanced two-pass

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# WAN 2.2 Text-to-Video (T2V) Workflows

## Overview

WAN 2.2 T2V generates videos from text prompts using a 14B parameter MoE (Mixture of Experts) architecture split across two specialized models:

- HighNoise model handles early denoising. It establishes structure, motion, composition
- LowNoise model handles late denoising. It refines details, sharpens output

This dual-model technique is the same as FLF/I2V (see wan-flf-video skill) but without image conditioning nodes.

Key difference from I2V/FLF: T2V does NOT use `CLIPVisionEncode`, `WanFirstLastFrameToVideo`, or any image input. It uses `EmptyHunyuanLatentVideo` for latent initialization and text-only conditioning.

## Models

### UNET (Installed)

| Model | Loader | Notes |
|-------|--------|-------|
| `Wan2_2-T2V-A14B_HIGH_fp8_e4m3fn_scaled_KJ.safetensors` | `UNETLoader` | HighNoise expert, 14.3GB FP8 |
| `Wan2_2-T2V-A14B-LOW_fp8_e4m3fn_scaled_KJ.safetensors` | `UNETLoader` | LowNoise expert, 14.3GB FP8 |

### Text Encoder

| Component | Node | Model | Notes |
|-----------|------|-------|-------|
| **CLIP (T5)** | `CLIPLoader` (type=`wan`) | `umt5_xxl_fp8_e4m3fn_scaled.safetensors` | UMT5-XXL fp8, in clip/ |

### VAE

| Component | Node | Model |
|-----------|------|-------|
| **VAE** | `VAELoader` | `wan_2.1_vae.safetensors` |

### VACE Modules (Installed, For Advanced Control)

| Model | Size | Notes |
|-------|------|-------|
| `Wan2_2_Fun_VACE_module_A14B_HIGH_bf16.safetensors` | 5.8GB | HighNoise VACE module |
| `Wan2_2_Fun_VACE_module_A14B_LOW_bf16.safetensors` | 5.8GB | LowNoise VACE module |

VACE modules add reference image / pose / depth conditioning to T2V. See WanVideoWrapper section below.

## Lightning LoRAs (Installed)

### T2V Lightning v1.1 (Paired Hi/Lo)

The rest: https://github.com/artokun/comfyui-mcp/blob/HEAD/plugin/skills/wan-t2v-video/SKILL.md