| --- |
| license: apache-2.0 |
| base_model: AlayaLab/Evoke |
| pipeline_tag: text-to-video |
| inference: false |
| tags: |
| - world-model |
| - video-generation |
| - text-to-video |
| - image-to-video |
| - interactive |
| - camera-control |
| - distillation |
| --- |
| |
| <h1 align="center">Alaya-EVOKE: From Linear-Scaling Supervision to Endless World</h1> |
|
|
| <p align="center"> |
| <a href="https://github.com/AlayaLab/Evoke"><img src="https://img.shields.io/badge/GitHub-AlayaLab/Evoke-181717.svg?logo=github" alt="GitHub"></a> |
| <a href="https://evoke-world.github.io/Evoke/"><img src="https://img.shields.io/badge/%F0%9F%8C%90_Project_Page-evoke--world.github.io-1a73e8.svg" alt="Project Page"></a> |
| <a href="https://arxiv.org/abs/2608.13546"><img src="https://img.shields.io/badge/arXiv-2608.13546-b31b1b.svg" alt="arXiv"></a> |
| <a href="https://huggingface.co/papers/2608.13546"><img src="https://img.shields.io/badge/%F0%9F%A4%97_Paper-2608.13546-ffce1c.svg" alt="Paper page"></a> |
| </p> |
|
|
| **Alaya-EVOKE-Turbo** is a **controllability-optimized** version of [Alaya-EVOKE](https://huggingface.co/AlayaLab/Evoke), focusing on camera-motion following and scene/subject instruction adherence. It uses the same architecture and inference workflow: **3 steps, no CFG, 384 × 640 at 24 fps**. |
|
|
| ## Contents |
|
|
| Merged Turbo transformer weights, stored in **FP32** to match Evoke. Download the shared base components and depth backend separately: |
|
|
| ```text |
| models/ |
| ├── evoke-base/ # VAE / text encoder / tokenizer / scheduler; from Evoke |
| ├── evoke-turbo/transformer/ # this release |
| └── ViGeo1.1/ # required depth backend |
| ``` |
|
|
| ## Usage |
|
|
| ```bash |
| git clone https://github.com/AlayaLab/Evoke && cd Evoke |
| pip install -r requirements.txt |
| |
| hf download AlayaLab/Evoke --include "evoke-base/*" --local-dir models |
| hf download AlayaLab/Evoke-Turbo --local-dir models/evoke-turbo/transformer |
| hf download pkqbajng/ViGeo --local-dir models/ViGeo1.1 # REQUIRED depth backend |
| |
| TRANSFORMER_PATH=models/evoke-turbo MODE=t2v NUM_CHUNKS=20 \ |
| bash scripts/inference/infer_post_distill.sh |
| ``` |
|
|
| See [Evoke](https://github.com/AlayaLab/Evoke) for camera control, other inference modes, and long rollouts. |
|
|
| ## WBench |
|
|
| Results on [WBench](https://meituan-longcat.github.io/WBench/) (158 cases; Interaction: Navigation only). **Bold** marks the best score in each column. |
|
|
| | Model | Video Quality | Setting | Navigation | Consistency | Physical | Avg | |
| |---|---:|---:|---:|---:|---:|---:| |
| | [Evoke](https://huggingface.co/AlayaLab/Evoke) | **82.7900** | **83.7600** | 78.6300 | 86.8700 | 72.0550 | 80.8210 | |
| | **Evoke-Turbo** | 81.8914 | 82.0518 | **83.8978** | **88.1469** | **74.0133** | **82.0003** | |
|
|
| Turbo uses seed-44 results selected from six prompt variants; Evoke uses [published reference scores](https://huggingface.co/datasets/SII-YuanyangYin/wbench_results/resolve/1e9401f827a2bb7bfe2a15b6c67df4fa8d5ae786/FINAL_SCORES.csv), with different prompts and poses. |
|
|
| ## Notes |
|
|
| See [Evoke](https://huggingface.co/AlayaLab/Evoke) for base-component provenance and dependency licenses; external components retain their own licenses. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{evoke2026, |
| title = {Alaya-EVOKE: From Linear-Scaling Supervision to Endless World}, |
| author = {Yin, Yuanyang and Wang, Gongxuan and Zhan, Yifan and |
| Li, Chuanhao and Zhang, Kaipeng and Zhao, Feng}, |
| journal = {arXiv preprint arXiv:2608.13546}, |
| year = {2026}, |
| } |
| ``` |
|
|
