---
title: "Vchitect-2.0 T2V"
description: "Vchitect-2.0 T2V from Shanghai AI Laboratory (Vchitect): text-to-video and video-generation; Static load only."
modelId: "vchitect-2-t2v"
pageSource: generated
---

Vchitect-2.0 is Shanghai AI Lab's open text-to-video diffusion transformer; this entry serves the 2B checkpoint through a fully native assembly. It carries an unusually strong structural guarantee: the native DiT matches all 1019 checkpoint tensors and the native SD3 decoder matches all 138 decoder tensors. Aliases include vchitect, vchitect-2, and vchitect2-t2v.

<ModelPaperFigures modelId="vchitect-2-t2v" locale="en" />

The recorded paper is [arXiv 2501.08453](https://arxiv.org/abs/2501.08453).

Code: [Vchitect/Vchitect-2.0](https://github.com/Vchitect/Vchitect-2.0).

<ModelCommandBuilder modelId="vchitect-2-t2v" locale="en" />

## What it is for

`vchitect-2-t2v` is the recorded prompt-to-video route — not image editing and not a policy. Start here when the job is a clip from text.

A parallel diffusion transformer paired with an SD3-family VAE decoder, assembled from role-based DiT, conditioner, scheduler, initializer, and decoder components. The pinned official source revision is recorded in the profile (Vchitect-2.0 @ be56767f). It is published by Shanghai AI Laboratory (Vchitect).

Catalog tasks include text-to-video and video-generation. Catalog aliases include `vchitect`, `vchitect-2`, `vchitect2-t2v`, and `vchitect_2_t2v`. Documented modalities: text in, video out.

Recorded evaluation entry points include [VBench](/docs/evaluation/benchmark-hub/vbench) (Standard T2V quality suite).

## Runtime contract

Optional `prompt`, `negative_prompt`, `frames`, `fps`, and `height`; artifacts `generated_video` and `vchitect_2_t2v_public_runner.mp4`.

CLI task profiles: `interactive-video`. WorldFoundry binds `Vchitect2T2VPipeline`.

Family status: **Static load only**.

Runner status is Static load only: the default path loads the shared native pipeline and does not emit blocked plan artifacts. Weights are apache-2.0 at Vchitect/Vchitect-2.0-2B. Use id vchitect-2-t2v.

Use id vchitect-2-t2v. The public pipeline is assembled from native role-based components.

## Running in WorldFoundry

Launch `worldfoundry-eval run vchitect-2-t2v --pipeline.task-profile interactive-video` to sample the clip. The command builder above switches `--pipeline.task-profile` among recorded tasks and still emits `worldfoundry-eval run`.

It runs in the unified environment `worldfoundry-unified-cu128` (Python 3.11, CUDA 12.8).

Recorded weight repositories include `Vchitect/Vchitect-2.0-2B`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh vchitect-2-t2v`. Add `--download` to fetch missing public checkpoints.

Recorded licenses include apache-2.0; status: **Static load only**.

<ModelRelatedRecipes modelId="vchitect-2-t2v" locale="en" />