Image-to-Video
Diffusers
video-generation
world-model
autoregressive
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image, export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AlayaLab/AlayaWorld", dtype=torch.bfloat16, device_map="cuda")
pipe.to("cuda")

prompt = "A man with short gray hair plays a red electric guitar."
image = load_image(
    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
)

output = pipe(image=image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

AlayaWorld โ€” Weights

Pretrained inference weights for AlayaWorld: Long-Horizon and Playable Video World Generation (Alaya Lab, Shanda AI Research Tokyo).

Files

File Description
merged_infer.safetensors Single bundle: DiT + VAE + text-encoder + history-encoder. Place under checkpoints/ per the code repo's README.

The text encoder (Gemma-3) and the spatial-memory depth model (Depth-Anything-3) are not included here โ€” download them from their original sources as described in the code repository's README.

License

This project is based on LTX-2 by Lightricks Ltd. merged_infer.safetensors is fine-tuned from the LTX-2.3-22B base and is a derivative of LTX-2.3; accordingly it is released under the LTX-2 Community License Agreement (https://github.com/Lightricks/LTX-2/blob/main/LICENSE), not Apache 2.0. All original LTX-2 copyright and attribution notices are retained.

For academic research and non-commercial use only. For commercial use of LTX-2 or its derivatives, contact Lightricks Ltd.; entities with โ‰ฅ $10M annual revenue require a commercial license from Lightricks.

Citation

@article{team2026alayaworld,
  title={AlayaWorld: Long-Horizon and Playable Video World Generation},
  author={Team, AlayaWorld and Zhang, Kaipeng and Li, Chuanhao and Zhan, Yifan and Ge, Yongtao and Yin, Yuanyang and others},
  journal={arXiv preprint arXiv:2607.06291},
  year={2026}
}
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