Develop #66
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* ENH: allow controlling rank of approximation * Training script accepts lora_rank
* Develop (#34) * Add parameter to control rank of decomposition (#28) * ENH: allow controlling rank of approximation * Training script accepts lora_rank * feat : statefully monkeypatch different loras + example ipynb + readme Co-authored-by: brian6091 <brian6091@gmail.com> * release : version 0.0.4, now able to tune rank, now add loras dynamically * readme : add brain6091's discussions * fix:inject lora in to_out module list * feat: added weight self apply lora * chore: add import copy * fix: readded r Co-authored-by: Simo Ryu <35953539+cloneofsimo@users.noreply.github.com> Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: SimoRyu <cloneofsimo@korea.ac.kr>
* v 0.0.5 (#42) * Add parameter to control rank of decomposition (#28) * ENH: allow controlling rank of approximation * Training script accepts lora_rank * feat : statefully monkeypatch different loras + example ipynb + readme * Fix lora inject, added weight self apply lora (#39) * Develop (#34) * Add parameter to control rank of decomposition (#28) * ENH: allow controlling rank of approximation * Training script accepts lora_rank * feat : statefully monkeypatch different loras + example ipynb + readme Co-authored-by: brian6091 <brian6091@gmail.com> * release : version 0.0.4, now able to tune rank, now add loras dynamically * readme : add brain6091's discussions * fix:inject lora in to_out module list * feat: added weight self apply lora * chore: add import copy * fix: readded r Co-authored-by: Simo Ryu <35953539+cloneofsimo@users.noreply.github.com> Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: SimoRyu <cloneofsimo@korea.ac.kr> * Revert "Fix lora inject, added weight self apply lora (#39)" (#40) This reverts commit fececf3. * fix : rank bug in monkeypatch * fix cli fix * visualizatio on effect of LR Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: Davide Paglieri <paglieridavide@gmail.com> * Fix save_steps, max_train_steps, and logging Corrected indenting so checking save_steps, max_train_steps, and updating logs are performed every step instead at the end of an epoch. Co-authored-by: Simo Ryu <35953539+cloneofsimo@users.noreply.github.com> Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: Davide Paglieri <paglieridavide@gmail.com>
* v 0.0.5 (#42) * Add parameter to control rank of decomposition (#28) * ENH: allow controlling rank of approximation * Training script accepts lora_rank * feat : statefully monkeypatch different loras + example ipynb + readme * Fix lora inject, added weight self apply lora (#39) * Develop (#34) * Add parameter to control rank of decomposition (#28) * ENH: allow controlling rank of approximation * Training script accepts lora_rank * feat : statefully monkeypatch different loras + example ipynb + readme Co-authored-by: brian6091 <brian6091@gmail.com> * release : version 0.0.4, now able to tune rank, now add loras dynamically * readme : add brain6091's discussions * fix:inject lora in to_out module list * feat: added weight self apply lora * chore: add import copy * fix: readded r Co-authored-by: Simo Ryu <35953539+cloneofsimo@users.noreply.github.com> Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: SimoRyu <cloneofsimo@korea.ac.kr> * Revert "Fix lora inject, added weight self apply lora (#39)" (#40) This reverts commit fececf3. * fix : rank bug in monkeypatch * fix cli fix * visualizatio on effect of LR Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: Davide Paglieri <paglieridavide@gmail.com> * Enable resume training unet/text encoder (#48) * Enable resume training unet/text encoder New flags --resume_text_encoder --resume_unet accept the paths to .pt files to resume. Make sure to change the output directory from the previous training session, or else .pt files will be overwritten since training does not resume from previous global step. * Load weights from .pt with inject_trainable_lora Adds new loras argument to inject_trainable_lora function which accepts path to a .pt file containing previously trained weights. Co-authored-by: Simo Ryu <35953539+cloneofsimo@users.noreply.github.com> Co-authored-by: brian6091 <brian6091@gmail.com> Co-authored-by: Davide Paglieri <paglieridavide@gmail.com>
* Learning rate switching & fix indent Make learning rates switch from training textual inversion to unet/text encoder after unfreeze_lora_step. I think this is how it was explained in the paper linked(?) Either way, it might be useful to add another parameter to activate unet/text encoder training at a certain step instead of at unfreeze_lora_step. This would let the user have more control. Also fix indenting to make save_steps and logging work properly. * Fix indent fix accelerator.wait_for_everyone() indent according to original dreambooth training
Fix indenting of accelerator.wait_for_everyone() according to original dreambooth training
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