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MODEL Listed

i2vgen xl

i2vgen-xl is a high-fidelity image-to-video diffusion model designed to animate static images with strong temporal consistency. Unlike basic text-to-video generators, it focuses on precise motion control based on a reference frame, making it ideal for developers building cinematic tools, automated social media content, or dynamic UI elements. It handles complex motion trajectories better than many open-source alternatives, reducing the 'morphing' effect common in latent video diffusion. Integration is straightforward for those familiar with the Diffusers library, allowing for scalable deployment in creative pipelines where visual stability and high resolution are critical.

ali-vilabtext-to-video
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01 / MODEL CARD

Model card

i2vgen-xl is a high-fidelity image-to-video diffusion model designed to animate static images with strong temporal consistency. Unlike basic text-to-video generators, it focuses on precise motion control based on a reference frame, making it ideal for developers building cinematic tools, automated social media content, or dynamic UI elements. It handles complex motion trajectories better than many open-source alternatives, reducing the 'morphing' effect common in latent video diffusion. Integration is straightforward for those familiar with the Diffusers library, allowing for scalable deployment in creative pipelines where visual stability and high resolution are critical.

Model typetext-to-video
Providerali-vilab
Licensemit
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/ali-vilab/i2vgen-xl
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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: ali-vilab/i2vgen-xl
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 ali-vilab/i2vgen-xl
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 ali-vilab/i2vgen-xl 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('ali-vilab/i2vgen-xl')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/ali-vilab/i2vgen-xl.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/ali-vilab/i2vgen-xl.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.

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