Update README.md
Our code builds on the requirement of the official Stable Diffusion repository. To set up their environment, please run:
conda env create -f environment/environment.yaml conda activate maskdiffusion
python run_maskdiffusion.py
This orignal code is builds on the code from the diffusers library and Prompt-to-Prompt. When reorganizing the code to be public, I also reused code from Attend-and-Excite and Densediffusion, to achieve a more concise implementation.
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MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask （IJCV）
🚩 TODO/Updates
Setup
Environment
Our code builds on the requirement of the official Stable Diffusion repository. To set up their environment, please run:
Testing
Testing with the mini-testset
Acknowledgements
This orignal code is builds on the code from the diffusers library and Prompt-to-Prompt. When reorganizing the code to be public, I also reused code from Attend-and-Excite and Densediffusion, to achieve a more concise implementation.