---
title: "WorldCrafter Base"
description: "WorldCrafter Base from Tencentarc: text-to-video and image-to-video; Verified."
modelId: "worldcrafter-base"
pageSource: generated
---
WorldCrafter Base is a world model from Tencentarc. The catalog records it for text-to-video, image-to-video, camera-controlled-video, and world-model.
The recorded paper is [arXiv 2609.24984](https://arxiv.org/abs/2609.24984).
Project page: [drexubery.github.io/WorldCrafter](https://drexubery.github.io/WorldCrafter/). Code: [TencentARC/WorldCrafter](https://github.com/TencentARC/WorldCrafter).
## What it is for
Use `worldcrafter-base` for camera-conditioned video inference. The recipe binds the recorded camera-control profile.
Catalog tasks include text-to-video, image-to-video, camera-controlled-video, and world-model. Documented modalities: text and image in, video out.
## Runtime contract
Optional `prompt`, `image`, `actions`, `seed`, and `frames`; artifacts `worldcrafter.mp4`.
CLI task profiles: `text-to-video`, `image-to-video`, `camera-controlled-video`, and `world-model`. WorldFoundry binds `WorldCrafterPipeline`.
Family status: **Verified**.
Reuses shared Helios transformer, scheduler, latent preparation and VGGT layers.
Model-specific UCPE camera residuals, RepEncoder memory and Fast routing remain explicit.
## Running in WorldFoundry
The catalog launch is `worldfoundry-eval run worldcrafter-base --pipeline.task-profile text-to-video`. 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 `TencentARC/WorldCrafter-Base` and `TencentARC/WorldCrafter-Fast`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh worldcrafter-base`. Add `--download` to fetch missing public checkpoints.
Status: **Verified**.