---
title: "VideoCrafter1 T2V"
description: "VideoCrafter1 T2V from Tencent AI Lab: text-to-video and video-generation; Runner parity pending."
modelId: "videocrafter1-t2v"
pageSource: authored
---

VideoCrafter1 T2V is the text-to-video member of the VideoCrafter1 release, generating clips up to 1024x576 from a prompt. The in-tree infer-only runtime wraps the official text-to-video 1024 path with local checkpoint, fps, frame count, and seed controls.

<ModelPaperFigures modelId="videocrafter1-t2v" locale="en" />

The recorded paper is [arXiv 2401.09047](https://arxiv.org/abs/2401.09047).

Project page: [ailab-cvc.github.io/videocrafter2](https://ailab-cvc.github.io/videocrafter2/). Code: [VideoCrafter/VideoCrafter](https://github.com/VideoCrafter/VideoCrafter).

<ModelCommandBuilder modelId="videocrafter1-t2v" locale="en" />

## What it is for

Pick `videocrafter1-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.

U-Net latent video diffusion at up to 1024x576 (per the upstream release). Checkpoint provenance is tracked on the family entry; training and download scripts are excluded. It is published by Tencent AI Lab.

Catalog tasks include text-to-video and video-generation. Catalog aliases include `videocrafter1_t2v`. Documented modalities: text in, video out.

Recorded evaluation entry points include [EvalCrafter](/docs/evaluation/benchmark-hub/evalcrafter) (Companion benchmark of the VideoCrafter effort).

Not [VideoCrafter](/docs/guides/supported-models/videocrafter) and [VideoCrafter2 T2V](/docs/guides/supported-models/videocrafter2-t2v). Score on [EvalCrafter](/docs/evaluation/benchmark-hub/evalcrafter).

## Runtime contract

Optional `prompt`, `frames`, `fps`, `height`, and `width`; artifacts `generated_video` and `videocrafter1-t2v.mp4`.

CLI task profiles: `interactive-video`. WorldFoundry binds `VideoCrafter1T2VPipeline`.

Family status: **Runner parity pending**.

Runner parity is pending. Prefer VideoCrafter2 T2V for better visual quality from the same family, or the DiT entries for current-generation quality.

Checkpoint provenance is tracked on the top-level videocrafter catalog entry to avoid duplicate HF repo aliases.

## Running in WorldFoundry

Launch `worldfoundry-eval run videocrafter1-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 `VideoCrafter/Text2Video-1024`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh videocrafter1-t2v`. Add `--download` to fetch missing public checkpoints.

Status: **Runner parity pending**.

<ModelRelatedRecipes modelId="videocrafter1-t2v" locale="en" />