ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Xiwei Hu*, Rui Wang*, Yixiao Fang*, Bin Fu*, Pei Cheng, Gang Yu✦

* 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}
}

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