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- # Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
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-
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- ## Setup
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- Clone this repository and create a conda environment:
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- ```
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- conda env create -f environment.yaml
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- conda activate syngen
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- ```
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-
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- If you rather use an existing environment, just run:
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- ```
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- pip install -r requirements.txt
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- ```
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-
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- Finally, run:
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- ```
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- python -m spacy download en_core_web_trf
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- ```
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-
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- ## Inference
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- ```
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- python run.py --prompt "a horned lion and a spotted monkey" --seed 1269
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- ```
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-
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- 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`.
 
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+ title: Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
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+ colorFrom: red
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+ colorTo: blue
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+ sdk: gradio
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+ python_version: 3.8.9
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+ app_file: app.py
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+ tags:
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+ - Linguistic Binding
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+ - Diffusion Models
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+ - Cross-Attention Maps
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+ - Stable Diffusion