0025626cd9
fix typo in examples dreambooth README.md ( #1073 )
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Update README.md
fixed typo
2022-11-02 13:15:30 +01:00
52f2128dc6
update readme for flax examples ( #1026 )
2022-10-27 15:25:25 +02:00
90f91adb0e
[Flax] Add DreamBooth ( #1001 )
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* [Flax] Add DreamBooth
* fix sample rng
* style
* not reuse rng
* add dtype for mixed precision training
* Add Flax example
2022-10-27 14:25:04 +02:00
7674a36a34
[dreambooth] dont use safety check when generating prior images ( #922 )
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dont' use safety check when generating prior images
2022-10-20 13:52:11 +02:00
ce7d96681c
DOC Dreambooth Add --sample_batch_size=1 to the 8 GB dreambooth example script ( #829 )
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Add --sample_batch_size=1 to the 8 GB dreambooth script
2022-10-20 13:44:37 +02:00
fbe807bf57
[dreambooth] allow fine-tuning text encoder ( #883 )
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* allow fine-tuning text encoder
* fix a few things
* update readme
2022-10-18 17:28:51 +02:00
b8c4d5801c
Remove unneeded use_auth_token ( #839 )
2022-10-14 13:27:03 +02:00
81bdbb5e2a
DreamBooth DeepSpeed support for under 8 GB VRAM training ( #735 )
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* Support deepspeed
* Dreambooth DeepSpeed documentation
* Remove unnecessary casts, documentation
Due to recent commits some casts to half precision are not necessary
anymore.
Mention that DeepSpeed's version of Adam is about 2x faster.
* Review comments
2022-10-10 21:29:27 +02:00
4deb16e830
[Docs] Advertise fp16 instead of autocast ( #740 )
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up
2022-10-05 22:20:53 +02:00
19e559d5e9
remove use_auth_token from remaining places ( #737 )
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remove use_auth_token
2022-10-05 17:40:49 +02:00
7e92c5bc73
Fix typos ( #718 )
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* Fix typos
* Update examples/dreambooth/train_dreambooth.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2022-10-04 15:22:14 +02:00
210be4fe71
[examples] update transfomers version ( #665 )
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update transfomrers version in example
2022-09-29 11:16:28 +02:00
e5eed5235b
[dreambooth] update install section ( #650 )
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update install section
2022-09-27 17:32:21 +02:00
3b747de845
Add training example for DreamBooth. ( #554 )
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* Add training example for DreamBooth.
* Fix bugs.
* Update readme and default hyperparameters.
* Reformatting code with black.
* Update for multi-gpu trianing.
* Apply suggestions from code review
* improgve sampling
* fix autocast
* improve sampling more
* fix saving
* actuallu fix saving
* fix saving
* improve dataset
* fix collate fun
* fix collate_fn
* fix collate fn
* fix key name
* fix dataset
* fix collate fn
* concat batch in collate fn
* add grad ckpt
* add option for 8bit adam
* do two forward passes for prior preservation
* Revert "do two forward passes for prior preservation"
This reverts commit 661ca4677e6dccc4ad596c2ee6ca4baad4159e95.
* add option for prior_loss_weight
* add option for clip grad norm
* add more comments
* update readme
* update readme
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add docstr for dataset
* update the saving logic
* Update examples/dreambooth/README.md
* remove unused imports
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-09-27 15:01:18 +02:00
Jonathan Rahn