Model reference · open weights

Multics

Video TencentARC Image→video 1 build Open weights 0 dl/mo

Multics is an open-weight video model from TencentARC. Multics (BF16) weighs 29.9 GB; the smallest configuration that runs it is RTX 4090 24 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • Multics is an image-to-video model developed by TencentARC that enables scalable multi-player video generation through hierarchical communication.
  • The repository includes a 4-player DiT checkpoint, the Wan2.2 VAE, and the UMT5 text encoder, and it supports 6, 8, and 10-player generation without retraining.
  • The model is licensed under Apache 2.0 and operates in English.

Summary of the TencentARC/Multics model card, 2026-10-13

What it is

Released byTencentARC
Released2026-10-12
VRAM29.9 GB for the weights

What it runs on

Memory and cards for Multics (BF16)

29.9 GBweights, file size
15.7 GBbiggest part
537 MBruntime overhead
CardWeightsMemory
RTX 3060 12 GB … RTX 4060 Ti 16 GBdoes not fit
RTX 3090 24 GBfits (encoders offloaded)23.4 GB
RTX 4090 24 GBfits (encoders offloaded)23.4 GB
RTX 5090 32 GBtight31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What TencentARC says about Multics

Read the model card

Multics enables scalable multi-player video generation through hierarchical communication.

Project page · Code and instructions

This repository contains the complete 4-player Multics DiT checkpoint, its configuration, the Wan2.2 VAE, the UMT5 text encoder, and tokenizer. The same checkpoint supports 6-, 8-, and 10-player generation without retraining.

From the Multics code repository, download all inference weights with:

hf download TencentARC/Multics --local-dir models

Then generate the first 4-player example:

python inference.py --config configs/inference_demo.yaml \
  --checkpoint models/multics/4players/checkpoints/model.ckpt \
  --hparams models/multics/4players/hparams.yaml \
  --case 1

See the code repository for installation, example inputs, and scalability commands.

The weights are distributed under the Apache 2.0 license. See LICENSE and THIRD_PARTY.md for component attribution.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. How to run this model is on its model card.

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms