stable-diffusion-tensorflow
stable-diffusion-tensorflow copied to clipboard
Split and unify execution module
- Split the module into lib and command line executor.
- Set a conda environment configuration to help developers (actually simple, but should be increased while developing)
- Simplify and unificate
text2imageandimage2imageintostable-diffusioncommand and a single module. - Refactor the executor code, following code quality principles
- Add dependencies into
setup.py, allowing the module to be installed with it`s dependencies (may be improved to allow automatic installation for m1).