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ComfyDeploy: How ComfyUI-ELLA-wrapper works in ComfyUI?
What is ComfyUI-ELLA-wrapper?
ComfyUI wrapper nodes to use the Diffusers implementation of ELLA
How to install it in ComfyDeploy?
Head over to the machine page
- Click on the "Create a new machine" button
- Select the
Edit
build steps - Add a new step -> Custom Node
- Search for
ComfyUI-ELLA-wrapper
and select it - Close the build step dialig and then click on the "Save" button to rebuild the machine
UPDATE:
Tencent has released official Comfy ELLA nodes that should now be used instead of this:
https://github.com/TencentQQGYLab/ComfyUI-ELLA
ComfyUI wrapper nodes to use the Diffusers implementation of ELLA
Installing
Either use the Manager and it's install from git -feature, or clone this repo to custom_nodes and run:
pip install -r requirements.txt
or if you use portable (run this in ComfyUI_windows_portable -folder):
python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-ELLA-wrapper\requirements.txt
You can use any 1.5 model, rest is auto downloaded, sources:
ELLA model (132MB):
https://huggingface.co/QQGYLab/ELLA/blob/main/ella-sd1.5-tsc-t5xl.safetensors
Also requires google-flan-t5-xl, for which I have opted to autodownload this repo, 6GB):
https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16/tree/main
Original repo:
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
<div align="center"> <span class="author-block"> <a href="https://openreview.net/profile?id=~Xiwei_Hu1">Xiwei Hu*</a>, </span> <span class="author-block"> <a href="https://wrong.wang/">Rui Wang*</a>, </span> <span class="author-block"> <a href="https://openreview.net/profile?id=~Yixiao_Fang1">Yixiao Fang*</a>, </span> <span class="author-block"> <a href="https://openreview.net/profile?id=~BIN_FU2">Bin Fu*</a>, </span> <span class="author-block"> <a href="https://openreview.net/profile?id=~Pei_Cheng1">Pei Cheng</a>, </span> <span class="author-block"> <a href="https://www.skicyyu.org/">Gang Yu✦</a> </span> <p> * Equal contributions, ✦ Corresponding Author </p><img src="./assets/ELLA-Diffusion.jpg" width="30%" > <br/> <a href='https://ella-diffusion.github.io/'><img src='https://img.shields.io/badge/Project-Page-green'></a> <a href='https://arxiv.org/abs/2403.05135'><img src='https://img.shields.io/badge/arXiv-2403.05135-b31b1b.svg'></a>
</div>Official code of "ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment".
<p> </p> <div align="center"> <img src="./assets/teaser_3img.png" width="100%"> <img src="./assets/teaser1_raccoon.png" width="100%"> </div>🌟 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}
}