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10 Commits

Author SHA1 Message Date
Duong A. Nguyen ac4c695d97
[Flax examples] Load text encoder from subfolder (#1147) 
load text encoder from subfolder
 2022-11-07 21:26:59 +01:00
Patrick von Platen c18941b01a
[Better scheduler docs] Improve usage examples of schedulers (#890) 
* [Better scheduler docs] Improve usage examples of schedulers

* finish

* fix warnings and add test

* finish

* more replacements

* adapt fast tests hf token

* correct more

* Apply suggestions from code review

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Integrate compatibility with euler

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
 2022-10-31 17:26:30 +01:00
Pedro Cuenca 6b185b6acd
Update training and fine-tuning docs (#1020) 
* Update training and fine-tuning docs.

* Update examples README.

* Update README.

* Add Flax fine-tuning section.

* Accept suggestion

Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* Accept suggestion

Co-authored-by: Anton Lozhkov <anton@huggingface.co>

Co-authored-by: Anton Lozhkov <anton@huggingface.co>
 2022-10-28 21:02:08 +02:00
Duong A. Nguyen 1e07b6b334
[Flax SD finetune] Fix dtype (#1038) 
fix jnp dtype
 2022-10-28 11:21:34 +02:00
Suraj Patil 52f2128dc6
update readme for flax examples (#1026) 2022-10-27 15:25:25 +02:00
Duong A. Nguyen abe058221c
[Flax] Add finetune Stable Diffusion (#999) 
* [Flax] Add finetune Stable Diffusion

* temporary fix

* drop_last and seed

* add dtype for mixed precision training

* style

* Add Flax example
 2022-10-27 14:08:21 +02:00
Hu Ye d7d6841406
fix a bug in the new version (#957) 
remove tensor_format in the new version
 2022-10-26 14:26:17 +02:00
pink-red 60c384bcd2
Fix fine-tuning compatibility with deepspeed (#816) 2022-10-12 21:43:37 +02:00
Suraj Patil 008b608f15
[train_text2image] Fix EMA and make it compatible with deepspeed. (#813) 
* fix ema

* style

* add comment about copy

* style

* quality
 2022-10-12 19:13:22 +02:00
Suraj Patil 66a5279a94
stable diffusion fine-tuning (#356) 
* begin text2image script

* loading the datasets, preprocessing & transforms

* handle input features correctly

* add gradient checkpointing support

* fix output names

* run unet in train mode not text encoder

* use no_grad instead of freezing params

* default max steps None

* pad to longest

* don't pad when tokenizing

* fix encode on multi gpu

* fix stupid bug

* add random flip

* add ema

* fix ema

* put ema on cpu

* improve EMA model

* contiguous_format

* don't warp vae and text encode in accelerate

* remove no_grad

* use randn_like

* fix resize

* improve few things

* log epoch loss

* set log level

* don't log each step

* remove max_length from collate

* style

* add report_to option

* make scale_lr false by default

* add grad clipping

* add an option to use 8bit adam

* fix logging in multi-gpu, log every step

* more comments

* remove eval for now

* adress review comments

* add requirements file

* begin readme

* begin readme

* fix typo

* fix push to hub

* populate readme

* update readme

* remove use_auth_token from the script

* address some review comments

* better mixed precision support

* remove redundant to

* create ema model early

* Apply suggestions from code review

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* better description for train_data_dir

* add diffusers in requirements

* update dataset_name_mapping

* update readme

* add inference example

Co-authored-by: anton-l <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
 2022-10-11 19:03:39 +02:00