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MODEL Listed

Wan2.1 T2V 1.3B

Wan2.1 T2V 1.3B is a compact, high-efficiency text-to-video model designed for developers who need a balance between generation quality and computational overhead. Unlike massive proprietary models, this 1.3B parameter version is optimized for faster inference and lower VRAM requirements, making it viable for local deployment or integration into agile pipelines. It excels at translating descriptive prompts into coherent motion, serving as a strong foundation for short-form content generation, prototyping visual assets, or building custom video-gen wrappers. Licensed under Apache-2.0, it offers the flexibility needed for commercial scaling without restrictive licensing hurdles. For devs, this means a streamlined path from prompt to render with a model that is lightweight enough to iterate on rapidly.

Wan-AItext-to-video
01 / MODEL CARD

Model card

Wan2.1 T2V 1.3B is a compact, high-efficiency text-to-video model designed for developers who need a balance between generation quality and computational overhead. Unlike massive proprietary models, this 1.3B parameter version is optimized for faster inference and lower VRAM requirements, making it viable for local deployment or integration into agile pipelines. It excels at translating descriptive prompts into coherent motion, serving as a strong foundation for short-form content generation, prototyping visual assets, or building custom video-gen wrappers. Licensed under Apache-2.0, it offers the flexibility needed for commercial scaling without restrictive licensing hurdles. For devs, this means a streamlined path from prompt to render with a model that is lightweight enough to iterate on rapidly.

Model typetext-to-video
ProviderWan-AI
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: Wan-AI/Wan2.1-T2V-1.3B
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model Wan-AI/Wan2.1-T2V-1.3B
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model Wan-AI/Wan2.1-T2V-1.3B README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('Wan-AI/Wan2.1-T2V-1.3B')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/Wan-AI/Wan2.1-T2V-1.3B.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/Wan-AI/Wan2.1-T2V-1.3B.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

Open source page
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