---
title: "Open-MAGVIT2"
description: "Open-MAGVIT2 from Tencent (ARC Lab): video-tokenization and class-conditional-image-generation; Verified."
modelId: "open-magvit2"
pageSource: generated
---

Open-MAGVIT2 is Tencent ARC's open reproduction of the MAGVIT-v2 lookup-free visual tokenizer, plus autoregressive generation on top of it. In this catalog the runnable route is class-conditional ImageNet image generation — full 256-token generation passed checkpoint-backed GPU and semantic visual QA (verified at 256x256, ImageNet class 207). The artifact is a generated PNG image, not video.

<ModelPaperFigures modelId="open-magvit2" locale="en" />

The recorded paper is [arXiv 2409.04410](https://arxiv.org/abs/2409.04410).

Code: [TencentARC/Open-MAGVIT2](https://github.com/TencentARC/Open-MAGVIT2).

<ModelCommandBuilder modelId="open-magvit2" locale="en" />

## What it is for

`open-magvit2` is the recorded image-generation line. Start here for prompt-to-image inference.

Two parts recorded in-tree: the lookup-free quantization (LFQ) tokenizer with a very large codebook, and an autoregressive transformer that predicts visual tokens for a requested ImageNet class. The class_id input selects the category; generation runs the vendored CUDA wrapper. It is published by Tencent (ARC Lab).

Catalog tasks include video-tokenization, class-conditional-image-generation, and autoregressive-generation. Catalog aliases include `open_magvit2` and `openmagvit2`.

## Runtime contract

Optional `prompt`, `input_path`, `interactions`, `fps`, and `steps`; artifacts `open_magvit2.png`.

CLI task profiles: `interactive-video`. WorldFoundry binds `OpenMAGVIT2Pipeline`.

Family status: **Verified**.

Runner status is Verified — this route actually ran on GPU with the TencentARC/Open-MAGVIT2 weights (apache-2.0). Keep expectations scoped: it is class-conditional image generation, not prompt-to-video; video tokenization is what the tokenizer supports upstream.

Runtime source is vendored in-tree and the CUDA generation wrapper is wired.

## Running in WorldFoundry

The catalog launch is `worldfoundry-eval run open-magvit2 --pipeline.task-profile interactive-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 11.3).

Recorded weight repositories include `TencentARC/Open-MAGVIT2`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh open-magvit2`. Add `--download` to fetch missing public checkpoints.

Recorded licenses include apache-2.0; status: **Verified**.

<ModelRelatedRecipes modelId="open-magvit2" locale="en" />