Wan2.1-VACE-14B-diffusers

git clone https://github.com/Wan-Video/Wan2.1.git
cd Wan2.1

# Ensure torch >= 2.4.0
pip install -r requirements.txt

Download models using modelscope-cli:

#### Run Text-to-Video Generation

This repository supports two Text-to-Video models (1.3B and 14B) and two resolutions (480P and 720P). The parameters and configurations for these models are as follows:

<table>
    <thead>
        <tr>
            <th rowspan="2">Task</th>
            <th colspan="2">Resolution</th>
            <th rowspan="2">Model</th>
        </tr>
        <tr>
            <th>480P</th>
            <th>720P</th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <td>t2v-14B</td>
            <td style="color: green;">✔️</td>
            <td style="color: green;">✔️</td>
            <td>Wan2.1-T2V-14B</td>
        </tr>
        <tr>
            <td>t2v-1.3B</td>
            <td style="color: green;">✔️</td>
            <td style="color: red;">❌</td>
            <td>Wan2.1-T2V-1.3B</td>
        </tr>
    </tbody>
</table>


##### (1) Without Prompt Extension

To facilitate implementation, we will start with a basic version of the inference process that skips the [prompt extension](#2-using-prompt-extention) step.

- Single-GPU inference