Light-X: Generative 4D Video Rendering with Camera and Illumination Control
Paper • 2512.05115 • Published • 11
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("tqliu/Light-X-Uni", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Light-X
📄 Paper | 🚀 Project Page | 💻 GitHub
Introduction
Pretrained Light-X-Uni weights trained with mixed lighting conditions (text / background / reference image / HDR).
Citation
If you find our work useful for your research, please consider citing our paper:
@article{liu2025light,
title={Light-X: Generative 4D Video Rendering with Camera and Illumination Control},
author={Liu, Tianqi and Chen, Zhaoxi and Huang, Zihao and Xu, Shaocong and Zhang, Saining and Ye, Chongjie and Li, Bohan and Cao, Zhiguo and Li, Wei and Zhao, Hao and others},
journal={arXiv preprint arXiv:2512.05115},
year={2025}
}
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