GitLab

* ⚙️chore(train_controlnet) fix typo in logger message

* ⚙️chore(models) refactor modules order; make them the same as calling order

When printing the BasicTransformerBlock to stdout, I think it's crucial that the attributes order are shown in proper order. And also previously the "3. Feed Forward" comment was not making sense. It should have been close to self.ff but it's instead next to self.norm3

* correct many tests

* remove bogus file

* make style

* correct more tests

* finish tests

* fix one more

* make style

* make unclip deterministic

* ⚙

️chore(models/attention) reorganize comments in BasicTransformerBlock class

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

* Update composable_stable_diffusion.py

Fix imports

* Formatting

* Formatting

* Formatting

* [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

* add wandb team and min-snr loss

* make style

* apply feedbacks

Fix dummy community pipeline

* fix the error when push_to_hub but not log validation

* contronet_from_pt & controlnet_revision

* add intermediate checkpointing to the guide

* 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>

* load_from_disk + checkpointing_steps

* apply feedback

use custom local datset
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* ensure validation image RGB not RGBA

* ensure validation image RGB not RGBA

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

* modify intel opts inference script

* modify readme

* modify doc

* fix some issues

* reformat

* reformat script

* format issue

* format issue

* img2img.multiple.controlnets.pipeline

* remove comments

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Co-authored-by: mishka <gartsocial@gmail.com>

Co-authored-by: yiyixuxu <yixu310@gmail,com>

* improve stable unclip doc.

* feat: add streaming support to controlnet flax training script.

* fix: CLI arg.

* fix: torch dataloader shuffle setting.

* fix: dataset length.

* fix: wandb config.

* fix: steps_per_epoch in the training loop.

* add: entry about streaming in the readme

* get column names from iterable dataset + fix final logging

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Co-authored-by: yiyixuxu <yixu310@gmail.com>

* Remove duplicate sentence

* format

* add train_controlnet_flax

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

* Apply same ruff settings as in transformers

See https://github.com/huggingface/transformers/blob/main/pyproject.toml

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Apply new style rules

* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* style

* remove list, ruff wouldn't auto fix.

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Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Update train_text_to_image_lora.py

* Update train_text_to_image_lora.py

* Update train_text_to_image_lora.py

* Update train_text_to_image_lora.py

* format

[2737]: Add DPMSolverMultistepScheduler to CLIP guided community pipelines
Co-authored-by: njindal <njindal@adobe.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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.

* add: initial implementation of the pix2pix instruct training script.

* shorten cli arg.

* fix: main process check.

* fix: dataset column names.

* simplify tokenization.

* proper placement of null conditions.

* apply styling.

* remove debugging message for conditioning do.

* complete license.

* add: requirements.tzt

* wandb column name order.

* fix: augmentation.

* change: dataset_id.

* fix: convert_to_np() call.

* fix: reshaping.

* fix: final ema copy.

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

* address PR comments.

* add: readme details.

* config fix.

* downgrade version.

* reduce image width in the readme.

* note on hyperparameters during generation.

* add: output images.

* update readme.

* minor edits to readme.

* debugging statement.

* explicitly placement of the pipeline.

* bump minimum diffusers version.

* fix: device attribute error.

* weight dtype.

* debugging.

* add dtype inform.

* add seoarate te and vae.

* add: explicit casting/

* remove casting.

* up.

* up 2.

* up 3.

* autocast.

* disable mixed-precision in the final inference.

* debugging information.

* autocasting.

* add: instructpix2pix training section to the docs.

* Empty-Commit

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

* add noise offset

* make style

* [MS Text To Video} Add first text to video

* upload

* make first model example

* match unet3d params

* make sure weights are correcctly converted

* improve

* forward pass works, but diff result

* make forward work

* fix more

* finish

* refactor video output class.

* feat: add support for a video export utility.

* fix: opencv availability check.

* run make fix-copies.

* add: docs for the model components.

* add: standalone pipeline doc.

* edit docstring of the pipeline.

* add: right path to TransformerTempModel

* add: first set of tests.

* complete fast tests for text to video.

* fix bug

* up

* three fast tests failing.

* add: note on slow tests

* make work with all schedulers

* apply styling.

* add slow tests

* change file name

* update

* more correction

* more fixes

* finish

* up

* Apply suggestions from code review

* up

* finish

* make copies

* fix pipeline tests

* fix more tests

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

* apply suggestions

* up

* revert

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Add guidance start/end parameters to community controlnet img2img pipeline

* Fix formats

* [Img2Img]: Copyover img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

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Co-authored-by: njindal <njindal@adobe.com>

* updated black format

* update black format

* make style format

* updated line endings

* update code formatting

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

* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* added vae gradient checkpointing test

* make style

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