Wan2.2-Animate-14B: Unified Character Animation & Replacement

Wan2.2-Animate-14B: Unified Character Animation & Replacement

TL;DR

Wan2.2-Animate-14B is a unified 14B-parameter video model for character animation and replacement. It transfers full-body motion and facial expressions to create a new performance or replace the original subject within the existing scene.

What the Model Is

Wan2.2-Animate-14B, now listed on AIOZ AI, is designed for human-centric video generation that requires coordinated control over character identity, body movement, and facial expression.

The model supports two related tasks in one system: Animation mode and Replacement mode.

How the Model Architecture Works

It uses a 14B-parameter diffusion transformer built on the Wan2.2 video generation foundation. Its character-control system separates the visual and motion signals required for a coherent performance:

  • The reference image defines the character's appearance and identity
  • Spatially aligned skeleton signals guide full-body motion
  • Implicit facial features pass through specialized Face Blocks to guide expression transfer
  • Background and mask inputs control scene preservation during character replacement

At the Wan2.2 foundation level, the A14B architecture uses two experts during denoising. A high-noise expert handles early-stage structure and layout, while a low-noise expert refines visual details later. Only one expert runs at a time, improving capacity without using the full model at once.

Two Generation Modes

1. Animation Mode

Uses a character image and driving video to animate the character with the source pose, movement, and facial expressions.

2. Replacement Mode

Replaces the original subject in a source video with the supplied character while preserving the performance and surrounding scene.

Core Capabilities

  • Full-body motion transfer
  • Facial-expression transfer
  • Character replacement
  • Identity consistency
  • Scene-aware control
  • Segmented generation

Inputs and Output

The interface supports:

  • input_image: Reference character image
  • prompt: Scene, style, or behavior description
  • mode: Animation or replacement
  • background_video: Optional replacement background
  • mask_video: Regions to modify or preserve
  • segment_frame: Frames per generation segment
  • prev_segment_frame: Previous frames retained for continuity
  • guidance_scale: Prompt adherence
  • num_steps: Inference steps

The model returns output_video, an MP4 generated from the supplied character, motion, expression, and prompt inputs.

Key Technical Details

  • Model: Wan2.2-Animate-14B
  • Model type: Character animation and replacement video model
  • Architecture: Diffusion transformer
  • Model scale: 14B parameters
  • Foundation: Wan2.2
  • Generation modes: Animation and Replacement
  • Body control: Spatially aligned skeleton signals
  • Facial control: Implicit facial features and Face Blocks
  • Primary image formats: PNG, JPG, JPEG
  • Video input and output format: MP4
  • License: Apache License 2.0

Download It on AIOZ AI

One character image, one driving performance, and two generation modes: Wan2.2-Animate-14B brings animation and replacement into a unified character-video workflow.

Download Wan2.2-Animate-14B on AIOZ AI and start creating motion-driven character videos.

FAQ

Q1: What is Wan2.2-Animate-14B?

It is a 14B-parameter video model that transfers body motion and facial expressions from a driving video to a reference character for animation or replacement.

Q2: What is the difference between animation and replacement modes?

Animation mode creates a new video with the reference character. Replacement mode swaps the subject in an existing video while keeping the original scene.

Q3: What inputs does the model require?

The core inputs are a reference character image, pose video, face video, prompt, and generation mode.