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# Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment | |
## Setup | |
Clone this repository and create a conda environment: | |
``` | |
conda env create -f environment.yaml | |
conda activate syngen | |
``` | |
If you rather use an existing environment, just run: | |
``` | |
pip install -r requirements.txt | |
``` | |
Finally, run: | |
``` | |
python -m spacy download en_core_web_trf | |
``` | |
## Inference | |
``` | |
python run.py --prompt "a horned lion and a spotted monkey" --seed 1269 | |
``` | |
Note that this will download the stable diffusion model `CompVis/stable-diffusion-v1-4`. If you rather use an existing copy of the model, provide the absolute path using `--model_path`. | |