GitLab

* Increase min accelerate ver to avoid OOM when mixed precision

* Rm re-instantiation of VAE

* Rm casting to float32

* Del unused models and free GPU

* Fix style

Add madebyollin VAE to LoRA example, along with an explenation

* fix: casting issues.

* fix checkpointing.

* tests

* fix: bugs

* add: train to text image with sdxl script.
Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>

* fix: partial func.

* fix: default value of output_dir.

* make style

* set num inference steps to 25.

* remove mentions of LoRA.

* up min version

* add: ema cli arg

* run device placement while running step.

* precompute vae encodings too.

* fix

* debug

* should work now.

* debug

* debug

* goes alright?

* style

* debugging

* debugging

* debugging

* debugging

* fix

* reinit scheduler if prediction_type was passed.

* akways cast vae in float32

* better handling of snr.
Co-authored-by: bghira <bghira@users.github.com>

* the vae should be also passed

* add: docs.

* add: sdlx t2i tests

* save the pipeline

* autocast.

* fix: save_model_card

* fix: save_model_card.

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Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: bghira <bghira@users.github.com>

* add: utility for image grid.

* add: return type.

* change necessary places.

* add to utility page.

network_alpha

fix: push_to_hub in train text2image lora sdxl

* add train_text_to_image_lora_sdxl.py

* add train_text_to_image_lora_sdxl.py

* add test and minor fix

* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix unwrap_model rule

* add invisible-watermark in requirements

* del invisible-watermark

* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update examples/text_to_image/train_text_to_image_lora_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* del comment & update readme

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: AisingioroHao0 <1286098622@qq.com>

* 0.20.0dev0

* make style

* Multiply lr scheduler steps by `num_processes`.

* Stop multiplying steps by gradient accumulation.

* add rank args in lora finetune

* del network_alpha

* refactor: readme serialized from the example when push_to_hub is True.

* fix: batch size arg.

* a bit better formatting

* minor fixes.

* add note on env.

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* condition wandb info better

* make mixed_precision assignment in cli args explicit.

* separate inference block for sample images.

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* address more comments.

* autocast mode.

* correct none image type problem.

* ifx: list assignment.

* minor fix.

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

add note to loading from checkpoint

* manual check for checkpoints_total_limit instead of using accelerate

* remove controlnet_conditioning_embedding_out_channels

* relax tolerance slightly

* correct incorrect naming

* Post release

* Post release

Apply deprecations

* Implement option for rescaling betas to zero terminal SNR

* Implement rescale classifier free guidance in pipeline_stable_diffusion.py

* focus on DDIM

* make style

* make style

* make style

* make style

* Apply suggestions from Peter Lin

* Apply suggestions from Peter Lin

* make style

* Apply suggestions from code review

* Apply suggestions from code review

* make style

* make style

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Co-authored-by: MaxWe00 <gitlab.9v1lq@slmail.me>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

fixed typo

add min snr to text2img lora training script

* [deepspeed] partial ZeRO-3 support

* cleanup

* improve deepspeed fixes

* Improve

* make style

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Added input pretubation

* Fixed spelling

* 👽

 qol improvements for LoRA.

* better function name?

* fix: LoRA weight loading with the new format.

* address Patrick's comments.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* change wording around encouraging the use of load_lora_weights().

* fix: function name.

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Post release

* fix more

* feat: verfication of multi-gpu support for select examples.

* add: multi-gpu training sections to the relvant doc pages.

remvoe one line

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

* improve stable unclip doc.

* feat: support for applying min-snr weighting for faster convergence.

* add: support for validation logging with wandb

* make  not a required arg.

* fix: arg name.

* fix: cli args.

* fix: tracker config.

* fix: loss calculation.

* fix: validation logging.

* fix: unwrap call.

* fix: validation logging.

* fix: internval.

* fix: checkpointing push to hub.

* fix: https://github.com/huggingface/diffusers/commit/c8a2856c6d5e45577bf4c24dee06b1a4a2f5c050\#commitcomment-106913193



* fix: norm group test for UNet3D.

* address PR comments.

* remove unneeded code.

* add: entry in the readme and docs.

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

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Co-authored-by: Suraj Patil <surajp815@gmail.com>

use upload folder in training scripts
Co-authored-by: testbot <lucainp@hf.co>

The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.