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* add args in train to resume training + correct latent scale * properly set latent scale * add a safe check assertion for latent scale * fix double flow block * correctly add guidance * add save function for losses * change saving extensions * correct configs * clean datasets implem * clean modelization * correct Unet cross attn if context provided * improve docstring * clean embedders * clean networks for repa utils * refine docstring networks utils * update drop proba by default and use by default cfg when logging images * set latent scale automatically * update init files * fix docstring
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This PR implements the unit tests for the different modules of the library and correct use cases found with them