---
title: "T2V Turbo T2V"
description: "T2V Turbo T2V from University of California, Santa Barbara: text-to-video; Static load only; T2V-Turbo."
modelId: "t2v_turbo_t2v"
pageSource: authored
---

T2V-Turbo is a fast text-to-video model distilled from VideoCrafter2 with consistency distillation plus reward feedback, generating watchable clips in 4-8 steps. In this catalog it is assembled from the shared native diffusion components: the VideoCrafter2 base model and the ordered T2V-Turbo LoRA remain separate declarative checkpoint inputs.

<ModelPaperFigures modelId="t2v_turbo_t2v" locale="en" />

The recorded paper is [T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback](https://arxiv.org/abs/2405.18750) (2024).

Project page: [t2v-turbo.github.io](https://t2v-turbo.github.io/). Code: [Ji4chenLi/t2v-turbo](https://github.com/Ji4chenLi/t2v-turbo).

The paper is [T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback](https://arxiv.org/abs/2405.18750). Project page: [t2v-turbo.github.io](https://t2v-turbo.github.io). Code: [Ji4chenLi/t2v-turbo](https://github.com/Ji4chenLi/t2v-turbo).

<ModelCommandBuilder modelId="t2v_turbo_t2v" locale="en" />

## What it is for

Pick `t2v_turbo_t2v` when you want this family's text-to-video line in WorldFoundry: a prompt in, a generated clip out. Use it as the catalog T2V start rather than an editor or a world-model stepper.

It is published by University of California, Santa Barbara.

Catalog tasks include text-to-video. Catalog aliases include `t2v-turbo-t2v` and `t2v-turbo`. Documented modalities: text in, video out.

Recorded evaluation entry points include [VBench](/docs/evaluation/benchmark-hub/vbench) (T2V-Turbo was tuned for exactly this suite's dimensions).

## Runtime contract

Optional `prompt`, `frames`, `fps`, `height`, and `width`.

CLI task profiles: `interactive-video`. WorldFoundry binds `T2VTurboT2VPipeline`.

Family status: **Static load only**.

Runner status records native checkpoint validation: local VideoCrafter2 and T2V-Turbo VC2 assets are available for strict component and LoRA checks. Use it when you need many quick T2V drafts rather than maximum quality.

Uses the shared WorldFoundry native diffusion assembler, runner, checkpoint loader, offload policy, and LVDM components.

## Running in WorldFoundry

Launch `worldfoundry-eval run t2v_turbo_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`.

The environment profile is not recorded.

Recorded weight repositories include `jiachenli-ucsb/T2V-Turbo-VC2` and `VideoCrafter/VideoCrafter2`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh t2v_turbo_t2v`. Add `--download` to fetch missing public checkpoints.

Status: **Static load only**.

<ModelRelatedRecipes modelId="t2v_turbo_t2v" locale="en" />