This repository has been archived by the owner on May 14, 2024. It is now read-only.
v4
Changes 11/29
- Requires Diffusers 0.9.0. To update it, run
pip install -U diffusers[torch]==0.9.0
. - Supports Stable Diffusion v2.0. Use the
--v2
option when training (and when pre-acquiring latents). If you are using 768-v-ema.ckpt or stable-diffusion-2 instead of stable-diffusion-v2-base, also use the--v_parameterization
option when training. - Added options to specify the minimum and maximum resolutions of the bucket when pre-acquiring latents.
- Modified the loss calculation formula.
- Added options for the learning rate scheduler.
- Added support for downloading Diffusers models directly from Hugging Face and for saving during training.
- clean_captions_and_tags.py can now be used even when only one of the captions or tags is missing.
- Minor fixes.