---
title: WAN 2.2 3-Step V2V Pipeline
emoji: 🎬
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.44.1
python_version: "3.10"
app_file: app.py
pinned: false
short_description: I2V + T2V + 3-Step V2V (SAM2 → Composite → VACE)
models:
  - facebook/sam2.1-hiera-large
  - google/umt5-xxl
  - Kijai/WanVideo_comfy
  - linoyts/Wan2.2-T2V-A14B-Diffusers-BF16
  - lkzd7/WAN2.2_LoraSet_NSFW
  - r3gm/RIFE
  - TestOrganizationPleaseIgnore/WAMU_v2_WAN2.2_I2V_LIGHTNING
  - Wan-AI/Wan2.1-VACE-14B-diffusers
  - Wan-AI/Wan2.2-T2V-A14B-Diffusers
  - zerogpu-aoti/Wan2
---

# WAN 2.2 Multi-Task Video Generation

## Features
- **I2V**: Image-to-Video (Lightning 14B, 6-step, FP8+AoT)
- **T2V**: Text-to-Video (Lightning 14B, 4-step, Lightning LoRA)
- **V2V**: 3-Step Video-to-Video Pipeline
  1. **SAM2 Segmentation**: Click points on first frame → auto-track through video → mask video
  2. **Composite + GrowMask**: Original + mask → expanded mask + composite video (automatic)
  3. **VACE Generation**: Composite + grown mask + reference image + prompt → final video

## V2V Workflow
Based on ComfyUI workflows: `sam_optimized`, `sam2.1_optimized`, `vace_optimized`