sv4d2.0

stabilityai/sv4d2.0

PublisherStability AIVerified

Download access requirementsMirror available

Stable Video 4D 2.0 Stable Video 4D 2.0 (SV4D 2.0) 是基于 Stable Video 4D 的生成式模型，用于从单个视角的视频生成该物体的多个新视角视频（4D图像矩阵）。该模型可生成48张图像（12个视频帧 × 4个相机视角），分辨率576×576，输入为同尺寸的12帧参考视频。生成的12×4图像矩阵可视为4个视频（各12帧），展示动态物体从用户指定的4个不同相机角度的呈现效果。同时发布了8视角模型，一次生成5帧 × 8视角

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Model details

模型介绍

中文整理

Stable Video 4D 2.0

Model use case

Stable Video 4D 2.0 (SV4D 2.0) 是基于 Stable Video 4D 的生成式模型，用于从单个视角的视频生成该物体的多个新视角视频（4D图像矩阵）。

主要能力

该模型可生成48张图像（12个视频帧 × 4个相机视角），分辨率576×576，输入为同尺寸的12帧参考视频。生成的12×4图像矩阵可视为4个视频（各12帧），展示动态物体从用户指定的4个不同相机角度的呈现效果。同时发布了8视角模型，一次生成5帧 × 8视角。要生成更长的新视角视频，可将首先生成的帧作为参考，然后以自回归方式采样剩余帧。

输入输出

输入：单视角参考视频，12帧，分辨率576×576

输出：48张图像（12×4图像矩阵），分辨率576×576，可转换为4个不同视角的视频

运行要求

模型基于Stable Video 4D架构运行，具体硬件和软件要求请参考官方GitHub仓库的使用说明。

基本用法

详细使用方法请参考Stability AI生成式模型的GitHub仓库。

限制

该模型未经过训练以生成真实的人物或事件表示。使用模型生成此类内容超出其能力范围。

License

社区许可证：年收入低于100万美元（或等值当地货币）的组织和个人可免费用于研究、非商业及商业用途。年收入超过100万美元的任何商业使用或衍生作品需直接从Stability AI获取企业许可证。企业许可证申请请访问 https://stability.ai/enterprise 。更多详细信息请参阅Stability AI社区许可证：https://stability.ai/license

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

sv4d2.0 model download

Download the full repository or choose a version or file.

Download tools · More than GGUF

Use the Hugging Face download tool to obtain stabilityai/sv4d2.0. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 61a2e56f58d48627740ab08021a651297e52accc. Downloads files only; does not start the model.

Choose a download source

已根据访问地区推荐 Hugging Face 官方线路，你可以手动切换。

Choose what to download

Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

$env:HF_ENDPOINT = "https://huggingface.co"
$env:HF_HUB_DISABLE_IMPLICIT_TOKEN = "1"
$env:HF_HUB_DISABLE_XET = "1"
hf download "stabilityai/sv4d2.0" --revision "61a2e56f58d48627740ab08021a651297e52accc" --local-dir "./models/stabilityai--sv4d2.0"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.