GitLab

update

Signed-off-by: co63oc <co63oc@users.noreply.github.com>

* feat: cuda device_map for pipelines.

* up

* up

* empty

* up

adding modular diffusers as experimental feature 

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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* start

* updates

* update

* update

* Apply style fixes

* init test
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* adjust
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* add the variant check when there are no component folders
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* update related test cases
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* update related unit test cases
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* adjust
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* Apply style fixes

---------
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* update

* update

* update

* update

* addressed PR comments

* update

* addressed PR comments

* added tests

* addressed PR comments

* updates

* update

* addressed PR comments

* update

* fix style

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

* feat: pipeline-level quant config.
Co-authored-by: SunMarc <marc.sun@hotmail.fr>

condition better.

support mapping.

improvements.

[Quantization] Add Quanto backend (#10756)

* update

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/quantization/quanto.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update src/diffusers/quantizers/quanto/utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

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

[Single File] Add single file loading for SANA Transformer (#10947)

* added support for from_single_file

* added diffusers mapping script

* added testcase

* bug fix

* updated tests

* corrected code quality

* corrected code quality

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

[LoRA] Improve warning messages when LoRA loading becomes a no-op (#10187)

* updates

* updates

* updates

* updates

* notebooks revert

* fix-copies.

* seeing

* fix

* revert

* fixes

* fixes

* fixes

* remove print

* fix

* conflicts ii.

* updates

* fixes

* better filtering of prefix.

---------
Co-authored-by: hlky <hlky@hlky.ac>

[LoRA] CogView4 (#10981)

* update

* make fix-copies

* update

[Tests] improve quantization tests by additionally measuring the inference memory savings (#11021)

* memory usage tests

* fixes

* gguf

[`Research Project`] Add AnyText: Multilingual Visual Text Generation And Editing (#8998)

* Add initial template

* Second template

* feat: Add TextEmbeddingModule to AnyTextPipeline

* feat: Add AuxiliaryLatentModule template to AnyTextPipeline

* Add bert tokenizer from the anytext repo for now

* feat: Update AnyTextPipeline's modify_prompt method

This commit adds improvements to the modify_prompt method in the AnyTextPipeline class. The method now handles special characters and replaces selected string prompts with a placeholder. Additionally, it includes a check for Chinese text and translation using the trans_pipe.

* Fill in the `forward` pass of `AuxiliaryLatentModule`

* `make style && make quality`

* `chore: Update bert_tokenizer.py with a TODO comment suggesting the use of the transformers library`

* Update error handling to raise and logging

* Add `create_glyph_lines` function into `TextEmbeddingModule`

* make style

* Up

* Up

* Up

* Up

* Remove several comments

* refactor: Remove ControlNetConditioningEmbedding and update code accordingly

* Up

* Up

* up

* refactor: Update AnyTextPipeline to include new optional parameters

* up

* feat: Add OCR model and its components

* chore: Update `TextEmbeddingModule` to include OCR model components and dependencies

* chore: Update `AuxiliaryLatentModule` to include VAE model and its dependencies for masked image in the editing task

* `make style`

* refactor: Update `AnyTextPipeline`'s docstring

* Update `AuxiliaryLatentModule` to include info dictionary so that text processing is done once

* simplify

* `make style`

* Converting `TextEmbeddingModule` to ordinary `encode_prompt()` function

* Simplify for now

* `make style`

* Up

* feat: Add scripts to convert AnyText controlnet to diffusers

* `make style`

* Fix: Move glyph rendering to `TextEmbeddingModule` from `AuxiliaryLatentModule`

* make style

* Up

* Simplify

* Up

* feat: Add safetensors module for loading model file

* Fix device issues

* Up

* Up

* refactor: Simplify

* refactor: Simplify code for loading models and handling data types

* `make style`

* refactor: Update to() method in FrozenCLIPEmbedderT3 and TextEmbeddingModule

* refactor: Update dtype in embedding_manager.py to match proj.weight

* Up

* Add attribution and adaptation information to pipeline_anytext.py

* Update usage example

* Will refactor `controlnet_cond_embedding` initialization

* Add `AnyTextControlNetConditioningEmbedding` template

* Refactor organization

* style

* style

* Move custom blocks from `AuxiliaryLatentModule` to `AnyTextControlNetConditioningEmbedding`

* Follow one-file policy

* style

* [Docs] Update README and pipeline_anytext.py to use AnyTextControlNetModel

* [Docs] Update import statement for AnyTextControlNetModel in pipeline_anytext.py

* [Fix] Update import path for ControlNetModel, ControlNetOutput in anytext_controlnet.py

* Refactor AnyTextControlNet to use configurable conditioning embedding channels

* Complete control net conditioning embedding in AnyTextControlNetModel

* up

* [FIX] Ensure embeddings use correct device in AnyTextControlNetModel

* up

* up

* style

* [UPDATE] Revise README and example code for AnyTextPipeline integration with DiffusionPipeline

* [UPDATE] Update example code in anytext.py to use correct font file and improve clarity

* down

* [UPDATE] Refactor BasicTokenizer usage to a new Checker class for text processing

* update pillow

* [UPDATE] Remove commented-out code and unnecessary docstring in anytext.py and anytext_controlnet.py for improved clarity

* [REMOVE] Delete frozen_clip_embedder_t3.py as it is in the anytext.py file

* [UPDATE] Replace edict with dict for configuration in anytext.py and RecModel.py for consistency

* 🆙



* style

* [UPDATE] Revise README.md for clarity, remove unused imports in anytext.py, and add author credits in anytext_controlnet.py

* style

* Update examples/research_projects/anytext/README.md
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Remove commented-out image preparation code in AnyTextPipeline

* Remove unnecessary blank line in README.md

[Quantization] Allow loading TorchAO serialized Tensor objects with torch>=2.6  (#11018)

* update

* update

* update

* update

* update

* update

* update

* update

* update

fix: mixture tiling sdxl pipeline - adjust gerating time_ids & embeddings  (#11012)

small fix on generating time_ids & embeddings

[LoRA] support wan i2v loras from the world. (#11025)

* support wan i2v loras from the world.

* remove copied from.

* upates

* add lora.

Fix SD3 IPAdapter feature extractor (#11027)

chore: fix help messages in advanced diffusion examples (#10923)

Fix missing **kwargs in lora_pipeline.py (#11011)

* Update lora_pipeline.py

* Apply style fixes

* fix-copies

---------
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Fix for multi-GPU WAN inference (#10997)

Ensure that hidden_state and shift/scale are on the same device when running with multiple GPUs

Co-authored-by: Jimmy <39@🇺🇸.com>

[Refactor] Clean up import utils boilerplate (#11026)

* update

* update

* update

Use `output_size` in `repeat_interleave` (#11030)

[hybrid inference 🍯🐝] Add VAE encode (#11017)

* [hybrid inference 🍯🐝

] Add VAE encode

* _toctree: add vae encode

* Add endpoints, tests

* vae_encode docs

* vae encode benchmarks

* api reference

* changelog

* Update docs/source/en/hybrid_inference/overview.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

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

Wan Pipeline scaling fix, type hint warning, multi generator fix (#11007)

* Wan Pipeline scaling fix, type hint warning, multi generator fix

* Apply suggestions from code review

[LoRA] change to warning from info when notifying the users about a LoRA no-op (#11044)

* move to warning.

* test related changes.

Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline (#10827)

* Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline

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

making ```formatted_images``` initialization compact (#10801)

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

Fix aclnnRepeatInterleaveIntWithDim error on NPU for get_1d_rotary_pos_embed (#10820)

* get_1d_rotary_pos_embed support npu

* Update src/diffusers/models/embeddings.py

---------
Co-authored-by: Kai zheng <kaizheng@KaideMacBook-Pro.local>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

[Tests] restrict memory tests for quanto for certain schemes. (#11052)

* restrict memory tests for quanto for certain schemes.

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

* fixes

* style

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

[LoRA] feat: support non-diffusers wan t2v loras. (#11059)

feat: support non-diffusers wan t2v loras.

[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training
Co-authored-by: Andreas Jörg <andreasjoerg@MacBook-Pro-von-Andreas-2.fritz.box>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

reverts accidental change that removes attn_mask in attn. Improves fl… (#11065)

reverts accidental change that removes attn_mask in attn. Improves flux ptxla by using flash block sizes. Moves encoding outside the for loop.
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Fix deterministic issue when getting pipeline dtype and device (#10696)
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

[Tests] add requires peft decorator. (#11037)

* add requires peft decorator.

* install peft conditionally.

* conditional deps.
Co-authored-by: DN6 <dhruv.nair@gmail.com>

---------
Co-authored-by: DN6 <dhruv.nair@gmail.com>

CogView4 Control Block (#10809)

* cogview4 control training

---------
Co-authored-by: OleehyO <leehy0357@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

[CI] pin transformers version for benchmarking. (#11067)

pin transformers version for benchmarking.

updates

Fix Wan I2V Quality (#11087)

* fix_wan_i2v_quality

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update pipeline_wan_i2v.py

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

LTX 0.9.5 (#10968)

* update

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

make PR GPU tests conditioned on styling. (#11099)

Group offloading improvements (#11094)

update

Fix pipeline_flux_controlnet.py (#11095)

* Fix pipeline_flux_controlnet.py

* Fix style

update readme instructions. (#11096)
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Resolve stride mismatch in UNet's ResNet to support Torch DDP (#11098)

Modify UNet's ResNet implementation to resolve stride mismatch in Torch's DDP

Fix Group offloading behaviour when using streams (#11097)

* update

* update

Quality options in `export_to_video` (#11090)

* Quality options in `export_to_video`

* make style

improve more.

add placeholders for docstrings.

formatting.

smol fix.

solidify validation and annotation

* Revert "feat: pipeline-level quant config."

This reverts commit 316ff46b7648bfa24525ac02c284afcf440404aa.

* feat: implement pipeline-level quantization config
Co-authored-by: SunMarc <marc@huggingface.co>

* update

* fixes

* fix validation.

* add tests and other improvements.

* add tests

* import quality

* remove prints.

* add docs.

* fixes to docs.

* doc fixes.

* doc fixes.

* add validation to the input quantization_config.

* clarify recommendations.

* docs

* add to ci.

* todo.

---------
Co-authored-by: SunMarc <marc@huggingface.co>

* Kolors additional pipelines, community contrib

---------
Co-authored-by: Teriks <Teriks@users.noreply.github.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* update

* update

* update

* update

* allow models to run with a user-provided dtype map instead of a single dtype

* make style

* Add warning, change `_` to `default`

* make style

* add test

* handle shared tensors

* remove warning

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Initial implementation of Flux multi IP-Adapter

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* Changes for ipa image embeds

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* make style && make quality

* Updated ip_adapter test

* Created typing_utils.py

---------
Co-authored-by: hlky <hlky@hlky.ac>

* More robust from_pretrained init_kwargs type checking

* Corrected for Python 3.10

* Type checks subclasses and fixed type warnings

* More type corrections and skip tokenizer type checking

* make style && make quality

* Updated docs and types for Lumina pipelines

* Fixed check for empty signature

* changed location of helper functions

* make style

---------
Co-authored-by: hlky <hlky@hlky.ac>

Co-authored-by: hualxie <hualxie@microsoft.com>

change licensing to 2025 from 2024.

* load and save dduf archive

* style

* switch to zip uncompressed

* updates

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* first draft

* remove print

* switch to dduf_file for consistency

* switch to huggingface hub api

* fix log

* add a basic test

* Update src/diffusers/configuration_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix

* fix variant

* change saving logic

* DDUF - Load transformers components manually (#10171)

* update hfh version

* Load transformers components manually

* load encoder from_pretrained with state_dict

* working version with transformers and tokenizer !

* add generation_config case

* fix tests

* remove saving for now

* typing

* need next version from transformers

* Update src/diffusers/configuration_utils.py
Co-authored-by: Lucain <lucain@huggingface.co>

* check path corectly

* Apply suggestions from code review
Co-authored-by: Lucain <lucain@huggingface.co>

* udapte

* typing

* remove check for subfolder

* quality

* revert setup changes

* oups

* more readable condition

* add loading from the hub test

* add basic docs.

* Apply suggestions from code review
Co-authored-by: Lucain <lucain@huggingface.co>

* add example

* add

* make functions private

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

* minor.

* fixes

* fix

* change the precdence of parameterized.

* error out when custom pipeline is passed with dduf_file.

* updates

* fix

* updates

* fixes

* updates

* fix xfail condition.

* fix xfail

* fixes

* sharded checkpoint compat

* add test for sharded checkpoint

* add suggestions

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

* from suggestions

* add class attributes to flag dduf tests

* last one

* fix logic

* remove comment

* revert changes

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Lucain <lucain@huggingface.co>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Regarding the RunwayML path for V1.5 did change to stable-diffusion-v1-5/[stable-diffusion-v1-5/ stable-diffusion-inpainting] (#10476)

* Update pipeline_controlnet.py

* Update pipeline_controlnet_img2img.py

runwayml Take-down so change all from to this
stable-diffusion-v1-5/stable-diffusion-v1-5

* Update pipeline_controlnet_inpaint.py

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* Update convert_blipdiffusion_to_diffusers.py

style change

* update

* update

* update

* update

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

Revert "[LoRA] fix: lora loading when using with a device_mapped model. (#9449)"

This reverts commit 41e4779d.

* fix: lora loading when using with a device_mapped model.

* better attibutung

* empty
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

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

* minors

* better error messages.

* fix-copies

* add: tests, docs.

* add hardware note.

* quality

* Update docs/source/en/training/distributed_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fixes

* skip properly.

* fixes

---------
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

update

* update

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

* Fix for use_safetensors parameters, allow use of parameter on loading submodels (#9576)

merge now, will add/fix test next 

* break from_pretrained part i.

* part ii.

* init_kwargs

* remove _fetch_init_kwargs

* type annotation

* dtyle

* switch to _check_and_update_init_kwargs_for_missing_modules.

* remove _check_and_update_init_kwargs_for_missing_modules.

* use pipeline_loading_kwargs.

* remove _determine_current_device_map.

* remove _filter_null_components.

* device_map fix.

* fix _update_init_kwargs_with_connected_pipeline.

* better handle custom pipeline.

* explain _maybe_raise_warning_for_inpainting.

* add example for model variant.

* fix

fix

* update

* update

* update

* update

* update

* remove resume_download

* fix: _fetch_index_file call.

* remove resume_download from docs.

* init for patches

* finish patched model.

* continuous transformer

* vectorized transformer2d.

* style.

* inits.

* fix-copies.

* introduce DiTTransformer2DModel.

* fixes

* use REMAPPING as suggested by @DN6

* better logging.

* add pixart transformer model.

* inits.

* caption_channels.

* attention masking.

* fix use_additional_conditions.

* remove print.

* debug

* flatten

* fix: assertion for sigma

* handle remapping for modeling_utils

* add tests for dit transformer2d

* quality

* placeholder for pixart tests

* pixart tests

* add _no_split_modules

* add docs.

* check

* check

* check

* check

* fix tests

* fix tests

* move Transformer output to modeling_output

* move errors better and bring back use_additional_conditions attribute.

* add unnecessary things from DiT.

* clean up pixart

* fix remapping

* fix device_map things in pixart2d.

* replace Transformer2DModel with appropriate classes in dit, pixart tests

* empty

* legacy mixin classes./

* use a remapping dict for fetching class names.

* change to specifc model types in the pipeline implementations.

* move _fetch_remapped_cls_from_config to modeling_loading_utils.py

* fix dependency problems.

* add deprecation note.

* refactor unet single file loading a bit.

* retrieve the unet from create_diffusers_unet_model_from_ldm

* update

* update

* updae

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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* update

* update

* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* tests

* update

* update

* update

* Update docs/source/en/api/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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* update

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* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* Deprecate resume_download

* align docstring with transformers

* style

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

* style


* Fix device map nits (#7705)


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Co-authored-by: Sayak Paul <spsayakpaul@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>

* 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>

move out the utilities from pipeline_utils.py