🔥🔥🔥 StyleCrafter on SDXL for stylized image generation is available! Enabling higher resolution(1024×1024) and more visually pleasing!
GongyeLiu, Menghan Xia*, Yong Zhang, Haoxin Chen, Jinbo Xing,
Xintao Wang, Yujiu Yang*, Ying Shan
(* corresponding authors)
From Tsinghua University and Tencent AI Lab.
TL;DR: We propose StyleCrafter, a generic method that enhances pre-trained T2V models with style control, supporting Style-Guided Text-to-Image Generation and Style-Guided Text-to-Video Generation.
Style-guided text-to-video results. Resolution: 320 x 512; Frames: 16. (Compressed)
Style-guided text-to-image results. Resolution: 512 x 512. (Compressed)
- [2024.06.25]: 🔥🔥 Support StyleCrafter on SDXL!
- [2023.12.08]: 🔥🔥 Release the Huggingface online demo.
- [2023.12.05]: 🔥🔥 Release the code and checkpoint.
- [2023.11.30]: 🔥🔥 Release the project page.
| Base Model | Gen Type | Resolution | Checkpoint | How to run |
|---|---|---|---|---|
| VideoCrafter | Image/Video | 320x512 | Hugging Face | StyleCrafter on VideoCrafter |
| SDXL | Image | 1024x1024 | Hugging Face | StyleCrafter on SDXL |
It takes approximately 5 seconds to generate a 512×512 image and 85 seconds to generate a 320×512 video with 16 frames using a single NVIDIA A100 (40G) GPU. A GPU with at least 16G GPU memory is required to perform the inference process.
conda create -n stylecrafter python=3.8.5
conda activate stylecrafter
pip install -r requirements.txt- Download all checkpoints according to the instructions
- Run the commands in terminal.
# style-guided text-to-image generation
sh scripts/run_infer_image.sh
# style-guided text-to-video generation
sh scripts/run_infer_video.sh- (Optional) Infernce on your own data according to the instructions
VideoCrafter1: Framework for high-quality text-to-video generation.
ScaleCrafter: Tuning-free method for high-resolution image/video generation.
TaleCrafter: An interactive story visualization tool that supports multiple characters.
LongerCrafter: Tuning-free method for longer high-quality video generation.
DynamiCrafter Animate open-domain still images to high-quality videos.
We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes.
We would like to thank AK(@_akhaliq) for the help of setting up online demo.
If your have any comments or questions, feel free to contact lgy22@mails.tsinghua.edu.cn
@article{liu2023stylecrafter,
title={StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter},
author={Liu, Gongye and Xia, Menghan and Zhang, Yong and Chen, Haoxin and Xing, Jinbo and Wang, Xintao and Yang, Yujiu and Shan, Ying},
journal={arXiv preprint arXiv:2312.00330},
year={2023}
}