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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* get device <-> component mapping when using multiple gpus.

* condition the device_map bits.

* relax condition

* device_map progress.

* device_map enhancement

* some cleaning up and debugging

* Apply suggestions from code review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* incorporate suggestions from PR.

* remove multi-gpu condition for now.

* guard check the component -> device mapping

* fix: device_memory variable

* dispatching transformers model to have force_hooks=True

* better guarding for transformers device_map

* introduce support balanced_low_memory and balanced_ultra_low_memory.

* remove device_map patch.

* fix: intermediate variable scoping.

* fix: condition in cpu offload.

* fix: flax class restrictions.

* remove modifications from cpu_offload and model_offload

* incorporate changes.

* add a simple forward pass test

* add: torch_device in get_inputs()

* add: tests

* remove print

* safe-guard to(), model offloading and cpu offloading when balanced is used as a device_map.

* style

* remove .

* safeguard device_map with more checks and remove invalid device_mapping strategues.

* make  a class attribute and adjust tests accordingly.

* fix device_map check

* fix test

* adjust comment

* fix: device_map attribute

* fix: dispatching.

* max_memory test for pipeline

* version guard the tests

* fix guard.

* address review feedback.

* reset_device_map method.

* add: test for reset_hf_device_map

* fix a couple things.

* add reset_device_map() in the error message.

* add tests for checking reset_device_map doesn't have unintended consequences.

* fix reset_device_map and offloading tests.

* create _get_final_device_map utility.

* hf_device_map -> _hf_device_map

* add documentation

* add notes suggested by Marc.

* styling.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* move updates within gpu condition.

* other docs related things

* note on ignore a device not specified in .

* provide a suggestion if device mapping errors out.

* fix: typo.

* _hf_device_map -> hf_device_map

* Empty-Commit

* add: example hf_device_map.

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* refactor transformer_2d forward logic into meaningful conditions.

* Empty-Commit

* fix: _operate_on_patched_inputs

* fix: _operate_on_patched_inputs

* check

* fix: patch output computation block.

* fix: _operate_on_patched_inputs.

* remove print.

* move operations to blocks.

* more readability neats.

* empty commit

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Revert "Apply suggestions from code review"

This reverts commit 12178b1aa0da3c29434e95a2a0126cf3ef5706a7.

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Support multiimage masking

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* refactor transformers 2d into multiple legacy variants.

* fix: init.

* fix recursive init.

* add inits.

* make transformer block creation more modular.

* complete refactor.

* remove forward

* debug

* remove legacy blocks and refactor within the module itself.

* remove print

* guard caption projection

* remove fetcher.

* reduce the number of args.

* fix: norm_type

* group variables that are shared.

* remove _get_transformer_blocks

* harmonize the init function signatures.

* transformer_blocks to common

* repeat .

* add: utility to format our docs too 📜

* debugging saga

* fix: message

* checking

* should be fixed.

* revert pipeline_fixture

* remove empty line

* make style

* fix: setup.py

* style.

* remove class assignments for linear and conv.

* fix: self.nn

* add from_pipe



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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Fix SVD bug (shape of `time_context`)

* Formatting code

* Formatting src/diffusers/models/transformers/transformer_temporal.py by `make style && make quality`

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Co-authored-by: kevinkhwu <kevinkhwu@tencent.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Fix typos

* Add docstring to `decode` method in `ConsistencyDecoderVAE`

* Fix tiling

* Enable tiled VAE decoding with customizable tile sample size and overlap factor

* Revert "Enable tiled VAE decoding with customizable tile sample size and overlap factor"

This reverts commit 181049675e83cea7b33ae2bbeba2aff7ae1b1761.

* Add VAE tiling test for `ConsistencyDecoderVAE`

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* cleanse and refactor lora testing suite.

* more cleanup.

* make check_if_lora_correctly_set a utility function

* fix: typo

* retrigger ci

* style

update

* Change path to posix

* running isort

* run style and quality checks

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Fix ControlNetModel.from_unet do not load add_embedding

* delete white space in blank line

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* debugging

* let's see the numbers

* let's see the numbers

* let's see the numbers

* restrict tolerance.

* increase inference steps.

* shallow copy of cross_attentionkwargs

* remove print

* Correction for non-integral image resolutions with quantizations other than float32.

* Support for training, and use of diffusers-style casting.

* pop scale from the top-level unet instead of getting it.

* improve readability.

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix a little bit.

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

* Fix PyTorch's convention for inplace functions

* Fix import structure in __init__.py and update config loading logic in test_config.py

* Update configuration access

* Fix typos

* Trim trailing white spaces

* Fix typo in logger name

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d.

* Fix typo in step_index property description

* Revert "Update configuration access"

This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8.

* Revert "Fix import structure in __init__.py and update config loading logic in test_config.py"

This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171.

* Fix typos

* Fix typos

* Fix typos

* Fix a typo: tranform -> transform

* Add properties and `IPAdapterTesterMixin` tests for `StableDiffusionPanoramaPipeline`

* Fix variable name typo and update comments

* Update deprecated `output_type="numpy"` to "np" in test files

* Discard changes to src/diffusers/pipelines/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py

* Update test_stable_diffusion_panorama.py

* Update numbers in README.md

* Update get_guidance_scale_embedding method to use timesteps instead of w

* Update number of checkpoints in README.md

* Add type hints and fix var name

* Fix PyTorch's convention for inplace functions

* Fix a typo

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit 74350cf65b2c9aa77f08bec7937d7a8b13edb509.

* Fix typos

* Indent

* Refactor get_guidance_scale_embedding method in LEditsPPPipelineStableDiffusionXL class

* fix typo in UNet2DConditionModel documentation

* Fix indentation that may fix doc rendering

* Fix squished doc lines

* update

* update

* update

* update

* update

* update

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix PyTorch classes and start deprecsation cycles.

* remove args crafting for accommodating scale.

* remove scale check in feedforward.

* assert against nn.Linear and not CompatibleLinear.

* remove conv_cls and lineaR_cls.

* remove scale

* 👋

 scale.

* fix: unet2dcondition

* fix attention.py

* fix: attention.py again

* fix: unet_2d_blocks.

* fix-copies.

* more fixes.

* fix: resnet.py

* more fixes

* fix i2vgenxl unet.

* depcrecate scale gently.

* fix-copies

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* quality

* throw warning when scale is passed to the the BasicTransformerBlock class.

* remove scale from signature.

* cross_attention_kwargs, very nice catch by Yiyi

* fix: logger.warn

* make deprecation message clearer.

* address final comments.

* maintain same depcrecation message and also add it to activations.

* address yiyi

* fix copies

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* more depcrecation

* fix-copies

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

switch to logger.warning

remove tf mention

[UNet_Spatio_Temporal_Condition] fix default num_attention_heads in unet_spatio_temporal_condition (#7205)

fix default num_attention_heads in unet_spatio_temporal_condition
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* make mid block optional for flax UNet

* make style

* throw error when patch inputs and layernorm are provided for transformers2d.

* add comment on supported norm_types in transformers2d

* more check

* fix: norm _type handling

fix: remove duplicate code in TemporalBasicTransformerBlock.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* initial diffNext v3

* move to v3 folder

* imports

* dry up the unets

* no switch_level

* fix init

* add switch_level tp config

* Fixed some things

* Added pooled text embeddings

* Initial work on adding image encoder

* changes from @dome272

* Stuff for the image encoder processing and variable naming in decoder

* fix arg name

* inference fixes

* inference fixes

* default TimestepBlock without conds

* c_skip=0 by default

* fix bfloat16 to cpu

* use config

* undo temp change

* fix gen_c_embeddings args

* change text encoding

* text encoding

* undo print

* undo .gitignore change

* Allow WuerstchenV3PriorPipeline to use the base DDPM & DDIM schedulers

* use WuerstchenV3Unet in both pipelines

* fix imports

* initial failing tests

* cleanup

* use scheduler.timesterps

* some fixes to the tests, still not fully working

* fix tests

* fix prior tests

* add dropout to the model_kwargs

* more tests passing

* update expected_slice

* initial rename

* rename tests

* rename class names

* make fix-copies

* initial docs

* autodocs

* typos

* fix arg docs

* add text_encoder info

* combined pipeline has optional image arg

* fix documentation

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

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

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* use self.config

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* c_in -> in_channels

* removed kwargs from unet's forward

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* remove older callback api

* removed kwargs and fixed decoder guidance > 1

* decoder takes emeds

* check and use image_embeds

* fixed all but one decoder test

* fix decoder tests

* update callback api

* fix some more combined tests

* push combined pipeline

* initial docs

* fix doc_string

* update combined api

* no test_callback_inputs test for combined pipeline

* add optional components

* fix ordering of components

* fix combined tests

* update convert script

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix imports

* move effnet out of deniosing loop

* prompt_embeds_pooled only when doing guidance

* Fix repeat shape

* move StableCascadeUnet to models/unets/

* more descriptive names

* converted when numpy()

* StableCascadePriorPipelineOutput docs

* rename StableCascadeUNet

* add slow tests

* fix slow tests

* update

* update

* updated model_path

* add args for weights

* set push_to_hub to false

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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Co-authored-by: Dominic Rampas <d6582533@gmail.com>
Co-authored-by: Pablo Pernias <pablo@pernias.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* feat 256px diffusers inference bug

* change the max_length of T5 to pipeline config file

* fix bug in convert_pixart_alpha_to_diffusers.py

* Update scripts/convert_pixart_alpha_to_diffusers.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* remove multi_scale_train parser

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* styling

* change `model_token_max_length` to call argument.

* Refactoring

* add: max_sequence_length to the docstring.

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

update

* move model helper function in pipeline to EfficiencyMixin

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* denormalize latents with the mean and std if available

* fix denormalize

* add latent mean and std in vae config

* address sayak's comment

* Make LoRACompatibleConv padding_mode work.

* Format code style.

* add fast test

* Update src/diffusers/models/lora.py

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

* code refactor

* apply patrickvonplaten suggestion to simplify the code.

* rm test_lora_layers_old_backend.py and add test case in test_lora_layers_peft.py

* update test case.

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* pass linear projection parameter to mid block

* add cond_proj_dim to motion UNet

* run style and quality checks

* Fix IPAdapterAttnProcessor

* Fix batch_to_head_dim and revert reshape

* add

* remove copied from

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Co-authored-by: ultranity <1095429904@qq.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* Add attention masking to attn processors

* Update tensor conversion

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>