1.I will standardize the organization of code and datasets on the server and update their folder structures on GitHub within a week.
2.Our work is based on Stable Diffusion v1-5. Therefore, I recommend that you first successfully run Stable Diffusion v1-5. Then you can run MindDiffuser in the virtual environment of Stable Diffusion, which should help avoid some environment-related errors.
3.Indeed, there are some three files in the code.
(1) the .json file referenced on line 44 of MindDiffuser/Feature extractor/Semantic_feature_extraction.py needs to be downloaded from COCO2017 (https://cocodataset.org/#download). (2)The --stable_diffusion_config_path and (3)--stable_diffusion_skpt_path need to be downloaded from Stable Diffusion (https://github.com/CompVis/stable-diffusion).
4.If you encounter any other issues, feel free to continue the discussion with us.
1.I will standardize the organization of code and datasets on the server and update their folder structures on GitHub within a week.
2.Our work is based on Stable Diffusion v1-5. Therefore, I recommend that you first successfully run Stable Diffusion v1-5. Then you can run MindDiffuser in the virtual environment of Stable Diffusion, which should help avoid some environment-related errors.
3.Indeed, there are some three files in the code. (1) the .json file referenced on line 44 of MindDiffuser/Feature extractor/Semantic_feature_extraction.py needs to be downloaded from COCO2017 (https://cocodataset.org/#download). (2)The --stable_diffusion_config_path and (3)--stable_diffusion_skpt_path need to be downloaded from Stable Diffusion (https://github.com/CompVis/stable-diffusion).
4.If you encounter any other issues, feel free to continue the discussion with us.