| license: apache-2.0 | |
| pipeline_tag: image-to-video | |
| language: | |
| - en | |
| base_model: | |
| - Wan-AI/Wan2.2-TI2V-5B | |
| - Wan-AI/Wan2.1-T2V-1.3B | |
| tags: | |
| - video-generation | |
| - multi-player | |
| - world-model | |
| # Multics | |
| Multics enables scalable multi-player video generation through hierarchical communication. | |
| [Project page](https://karine-huang.github.io/Multics/) · [Code and instructions](https://github.com/TencentARC/Multics) | |
| 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: | |
| ```bash | |
| hf download TencentARC/Multics --local-dir models | |
| ``` | |
| Then generate the first 4-player example: | |
| ```bash | |
| 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](LICENSE) and [THIRD_PARTY.md](THIRD_PARTY.md) for component attribution. | |