Alibaba Wan2.1-VACE Open Source Model

Revolutionary AI Video Engine: One model for video generation, editing, and re-creation.

Unleash Creativity: Wan2.1-VACE Core Features

Wan2.1-VACE is more than just video generation; it's an all-in-one video creation partner. Its single model architecture gives you unprecedented control over video.

Direct "Generate" Video

Create brand new video content from text descriptions or single images, transforming your imagination into dynamic visuals.

Complex Editing & Re-creation

Perform in-depth editing on existing videos, including style transfer, object replacement, background extension, etc., giving old footage new life.

Single Model Full Coverage

No need to switch between different tools. Wan2.1-VACE efficiently completes all video processing tasks from generation to editing with its unified architecture.

Precise Control, As You Wish

Wan2.1-VACE gives you fine-grained control over every frame of the video, freeing your creativity.

Character Control

Action, posture, direction, all under your control.

Visual Composition

Layout, motion trajectory, freely set.

Style Definition

Video style, overall look and feel, customize as you wish.

Diverse Inputs, Inspire Infinite Possibilities

Supports multiple input methods, flexibly combined to meet your diverse creation needs.

  • Text (Prompt)
  • Image (Image Reference)
  • Video (Original Video Editing)
  • Mask (Specify Modification Area)
  • Control Signals (Depth Map, Optical Flow Map, Grayscale Map, Layout Map, Line Draft, etc.)

Combined Innovation: Unlock Complex Application Scenarios

The power of Wan2.1-VACE lies in the flexible combination of its functions, easily handling complex creation demands.

Vertical Image to Horizontal Long Video

Combine "Image Reference + Background Extension + Duration Extension" to easily convert a vertical image into a horizontal long video with intelligently filled harmonious background.

Precise Local Inpainting

Combine "Reference Image + Local Inpainting" to replace only specific objects in the video while perfectly preserving other elements, achieving seamless editing.

Frequently Asked Questions (FAQ)

Find answers to common questions about the Wan2.1-VACE model here.

What is Wan2.1-VACE?

Wan2.1-VACE is an open-source multimodal video generation and editing foundational model developed by Alibaba Wan-AI Lab. It employs a unified architecture supporting various complex tasks like Text-to-Video (T2V), Image-to-Video (I2V), Video-to-Video (V2V) editing, Reference-guided generation (R2V), and Masked Video Editing (MV2V).

What does "All in One, Wan for All" mean?

"All in One, Wan for All" is the core design philosophy of Wan2.1-VACE. "All in One" refers to its single model architecture capable of handling multiple video creation and editing tasks without needing to switch tools. "Wan for All" emphasizes its inclusivity, enabling a broader range of users to access and use advanced AI video technology through open source and support for consumer-grade hardware.

What are the main features of Wan2.1-VACE?

Main features include:

  • - Text-to-Video (T2V) generation
  • - Image-to-Video (I2V) generation
  • - First-Last-Frame-to-Video (FLF2V) generation
  • - Reference-guided video generation (R2V)
  • - Video-to-Video (V2V) editing (e.g., style transfer, content adjustment)
  • - Mask-based video editing (MV2V) (e.g., inpainting, object replacement, scene extension)
  • - Bilingual (Chinese-English) visual text generation (rendering text within video frames)
  • - Task composability for complex editing workflows
What are the different versions of Wan2.1-VACE? What are the main differences?

There are two main versions: Wan2.1-VACE-1.3B and Wan2.1-VACE-14B.

Wan2.1-VACE-1.3B: A lightweight version with about 1.3 billion parameters. Primarily supports 480p resolution video and is friendly to consumer-grade GPUs (e.g., T2V inference requires about 8.19GB VRAM). Suitable for individual creators and rapid prototyping.

Wan2.1-VACE-14B: A larger parameter scale version with about 14 billion parameters. Supports 480p and higher quality 720p resolution video. Offers stronger performance but has higher hardware requirements (e.g., I2V inference requires about 35GB VRAM). Suitable for professional video production and high-quality content generation.

Is Wan2.1-VACE open source? Where can I find it?

Yes, Wan2.1-VACE is licensed under the Apache 2.0 open source license.

You can obtain the model and code from the following main channels:

What are the system requirements for deploying Wan2.1-VACE locally?

Basic requirements include:

  • - Operating System: Windows, macOS, or Linux.
  • - Memory (RAM): At least 16GB is recommended; more may be needed for complex tasks or larger models.
  • - GPU: This is crucial. VRAM requirements depend on the model version; the 1.3B version T2V needs ~8.19GB+, while the 14B version requires more. NVIDIA GPUs are recommended.
  • - Software: Python (e.g., 3.10+), CUDA, PyTorch. Refer to official documentation or community guides for specific versions.

Detailed setup steps typically involve cloning the repository, installing dependencies, and downloading model weights.

What scenarios can Wan2.1-VACE be applied to?

Application prospects are broad, including:

  • - Content Creation & Marketing: Social media shorts, advertisements, product demos, educational materials.
  • - Art Visualization & Entertainment: Dynamic visual art, experimental short films, animation concepts.
  • - Game Development: Cutscenes, character action previews, dynamic backgrounds.
  • - Film & TV Pre-production: Video concept prototypes, storyboard dynamization.
  • - Personalized Content Customization: Custom greeting videos, instructional segments, etc.