Instructions to use Clara-7/LiveMoments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Clara-7/LiveMoments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Clara-7/LiveMoments", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
This repository provides the official pretrained weights for our ICLR 2026 paper LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion.
π Links
- π Project Page: https://clara7-c.github.io/livemoments/
- π Paper: https://openreview.net/pdf?id=02mgFnnfqG
Please refer to the official code repository for usage scripts:
π π» Code: https://github.com/OpenVeraTeam/LiveMoments
π Citation
If you find this work useful, please consider citing:
@inproceedings{xue2026livemoments,
title={LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion},
author={Clara Xue and Zizheng Yan and Zhenning Shi and Yuhang Yu and Jingyu Zhuang and Qi Zhang and Jinwei Chen and Qingnan Fan},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=02mgFnnfqG}
}
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