ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
* Equal contributions, ✦ Corresponding Author
Official code of "ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment".
🌟 Changelog
- [2024.4.9] 🔥🔥🔥 Release ELLA-SD1.5 Checkpoint! Welcome to try!
- [2024.3.11] 🔥 Release DPG-Bench! Welcome to try!
- [2024.3.7] Initial update
Inference
ELLA-SD1.5
# get ELLA-SD1.5 at https://huggingface.co/QQGYLab/ELLA/blob/main/ella-sd1.5-tsc-t5xl.safetensors
# comparing ella-sd1.5 and sd1.5
# will generate images at `./assets/ella-inference-examples`
python3 inference.py test --save_folder ./assets/ella-inference-examples --ella_path /path/to/ella-sd1.5-tsc-t5xl.safetensors
# build a demo for ella-sd1.5
GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=8082 python3 ./inference.py demo /path/to/ella-sd1.5-tsc-t5xl.safetensors
📊 DPG-Bench
The guideline of DPG-Bench:
-
Generate your images according to our prompts.
It is recommended to generate 4 images per prompt and grid them to 2x2 format. Please Make sure your generated image's filename is the same with the prompt's filename.
-
Run the following command to conduct evaluation.
bash dpg_bench/dist_eval.sh $YOUR_IMAGE_PATH $RESOLUTION
Thanks to the excellent work of DSG sincerely, we follow their instructions to generate questions and answers of DPG-Bench.
📝 TODO
- add huggingface demo link
- release checkpoint
- release inference code
- release DPG-Bench
💡 Others
We have also found LaVi-Bridge, another independent but similar work completed almost concurrently, which offers additional insights not covered by ELLA. The difference between ELLA and LaVi-Bridge can be found in issue 13. We are delighted to welcome other researchers and community users to promote the development of this field.
😉 Citation
If you find ELLA useful for your research and applications, please cite us using this BibTeX:
@misc{hu2024ella,
title={ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment},
author={Xiwei Hu and Rui Wang and Yixiao Fang and Bin Fu and Pei Cheng and Gang Yu},
year={2024},
eprint={2403.05135},
archivePrefix={arXiv},
primaryClass={cs.CV}
}


