GitLab

* update

* update

* make style

* remove dynamo disable

* add coauthor
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* update

* update

* update

* update mixin

* add some basic tests

* update

* update

* non_blocking

* improvements

* update

* norm.* -> norm

* apply suggestions from review

* add example

* update hook implementation to the latest changes from pyramid attention broadcast

* deinitialize should raise an error

* update doc page

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

* update docs

* update

* refactor

* fix _always_upcast_modules for asym ae and vq_model

* fix lumina embedding forward to not depend on weight dtype

* refactor tests

* add simple lora inference tests

* _always_upcast_modules -> _precision_sensitive_module_patterns

* remove todo comments about review; revert changes to self.dtype in unets because .dtype on ModelMixin should be able to handle fp8 weight case

* check layer dtypes in lora test

* fix UNet1DModelTests::test_layerwise_upcasting_inference

* _precision_sensitive_module_patterns -> _skip_layerwise_casting_patterns based on feedback

* skip test in NCSNppModelTests

* skip tests for AutoencoderTinyTests

* skip tests for AutoencoderOobleckTests

* skip tests for UNet1DModelTests - unsupported pytorch operations

* layerwise_upcasting -> layerwise_casting

* skip tests for UNetRLModelTests; needs next pytorch release for currently unimplemented operation support

* add layerwise fp8 pipeline test

* use xfail

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

* add assertion with fp32 comparison; add tolerance to fp8-fp32 vs fp32-fp32 comparison (required for a few models' test to pass)

* add note about memory consumption on tesla CI runner for failing test

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* initial comit

* fix empty cache

* fix one more

* fix style

* update device functions

* update

* update

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/controlnet/test_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/controlnet/test_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

* with gc.collect

* update

* make style

* check_torch_dependencies

* add mps empty cache

* bug fix

* Apply suggestions from code review

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

* Update __init__.py

* add consisid

* update consisid

* update consisid

* make style

* make_style

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

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

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

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

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

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

* add doc

* make style

* Rename consisid .md to consisid.md

* Update geodiff_molecule_conformation.ipynb

* Update geodiff_molecule_conformation.ipynb

* Update geodiff_molecule_conformation.ipynb

* Update demo.ipynb

* Update pipeline_consisid.py

* make fix-copies

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

* Update src/diffusers/pipelines/consisid/pipeline_consisid.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/consisid/pipeline_consisid.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

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

* update doc & pipeline code

* fix typo

* make style

* update example

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

* update example

* update example

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

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

* update

* add test and update

* remove some changes from docs

* refactor

* fix

* undo changes to examples

* remove save/load and fuse methods

* update

* link hf-doc-img & make test extremely small

* update

* add lora

* fix test

* update

* update

* change expected_diff_max to 0.4

* fix typo

* fix link

* fix typo

* update docs

* update

* remove consisid lora tests

---------
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>

Added support for IP-Adapter

* Added support for IP-Adapter

* Added joint_attention_kwargs property

* 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>

* Added support for IP-Adapter

* Fixed Copied inconsistency

* Fix Nightly AudioLDM2PipelineFastTests

* add phonemizer to setup extras test

* fix

* make style

* improve flux true cfg condition

* add test

* skip tests properly.

* more

* more

* autoencoder_dc tiling

* add tiling and slicing support in SANA pipelines

* create variables for padding length because the line becomes too long

* add tiling and slicing support in pag SANA pipelines

* revert changes to tile size

* make style

* add vae tiling test

---------
Co-authored-by: Aryan <aryan@huggingface.co>

* allow big lora tests to run on the CI.

* print

* print.

* print

* print

* print

* print

* more

* print

* remove print.

* remove print

* directly place on cuda.

* remove pipeline.

* remove

* fix

* fix

* spaces

* quality

* updates

* directly place flux controlnet pipeline on cuda.

* torch_device instead of cuda.

* style

* device placement.

* fixes

* add big gpu marker for mochi; rename test correctly

* address feedback

* fix

---------
Co-authored-by: Aryan <aryan@huggingface.co>

remove prints from tests.

* IP-Adapter support for `StableDiffusion3ControlNetPipeline`

* Update src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

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

* update

* make style

* update

* update

* update

* make style

* single file related changes

* update

* fix

* update single file urls and docs

* update

* fix

* sana lora training tests and misc.

* remove push to hub

* Update examples/dreambooth/train_dreambooth_lora_sana.py
Co-authored-by: Aryan <aryan@huggingface.co>

---------
Co-authored-by: Aryan <aryan@huggingface.co>

* Flux IP-Adapter

* test cfg

* make style

* temp remove copied from

* fix test

* fix test

* v2

* fix

* make style

* temp remove copied from

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

* Move encoder_hid_proj to inside FluxTransformer2DModel

* merge

* separate encode_prompt, add copied from, image_encoder offload

* make

* fix test

* fix

* Update src/diffusers/pipelines/flux/pipeline_flux.py

* test_flux_prompt_embeds change not needed

* true_cfg -> true_cfg_scale

* fix merge conflict

* test_flux_ip_adapter_inference

* add fast test

* FluxIPAdapterMixin not test mixin

* Update pipeline_flux.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* Added support for single IPAdapter on SD3.5 pipeline



---------
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Check correct model type is passed to `from_pretrained`

* Flax, skip scheduler

* test_wrong_model

* Fix for scheduler

* Update tests/pipelines/test_pipelines.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* EnumMeta

* Flax

* scheduler in expected types

* make

* type object 'CLIPTokenizer' has no attribute '_PipelineFastTests__name'

* support union

* fix typing in kandinsky

* make

* add LCMScheduler

* 'LCMScheduler' object has no attribute 'sigmas'

* tests for wrong scheduler

* make

* update

* warning

* tests

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* import FlaxSchedulerMixin

* skip scheduler

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

rename integration test

* flux_control_inpaint - failing test_flux_different_prompts

* removing test_flux_different_prompts?

* fix style

* fix from PR comments

* fix style

* reducing guidance_scale in demo

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

* make

* prepare_latents is not copied from

* update docs

* typos

---------
Co-authored-by: affromero <ubuntu@ip-172-31-17-146.ec2.internal>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>

* copy transformer

* copy vae

* copy pipeline

* make fix-copies

* refactor; make original code work with diffusers; test latents for comparison generated with this commit

* move rope into pipeline; remove flash attention; refactor

* begin conversion script

* make style

* refactor attention

* refactor

* refactor final layer

* their mlp -> our feedforward

* make style

* add docs

* refactor layer names

* refactor modulation

* cleanup

* refactor norms

* refactor activations

* refactor single blocks attention

* refactor attention processor

* make style

* cleanup a bit

* refactor double transformer block attention

* update mochi attn proc

* use diffusers attention implementation in all modules; checkpoint for all values matching original

* remove helper functions in vae

* refactor upsample

* refactor causal conv

* refactor resnet

* refactor

* refactor

* refactor

* grad checkpointing

* autoencoder test

* fix scaling factor

* refactor clip

* refactor llama text encoding

* add coauthor
Co-Authored-By: "Gregory D. Hunkins" <greg@ollano.com>

* refactor rope; diff: 0.14990234375; reason and fix: create rope grid on cpu and move to device

Note: The following line diverges from original behaviour. We create the grid on the device, whereas
original implementation creates it on CPU and then moves it to device. This results in numerical
differences in layerwise debugging outputs, but visually it is the same.

* use diffusers timesteps embedding; diff: 0.10205078125

* rename

* convert

* update

* add tests for transformer

* add pipeline tests; text encoder 2 is not optional

* fix attention implementation for torch

* add example

* update docs

* update docs

* apply suggestions from review

* refactor vae

* update

* Apply suggestions from code review
Co-authored-by: hlky <hlky@hlky.ac>

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

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

* make fix-copies

* update

---------
Co-authored-by: "Gregory D. Hunkins" <greg@ollano.com>
Co-authored-by: hlky <hlky@hlky.ac>

[Sana] Add Sana, including `SanaPipeline`, `SanaPAGPipeline`, `LinearAttentionProcessor`, `Flow-based DPM-sovler` and so on. (#9982)

* first add a script for DC-AE;

* DC-AE init

* replace triton with custom implementation

* 1. rename file and remove un-used codes;

* no longer rely on omegaconf and dataclass

* replace custom activation with diffuers activation

* remove dc_ae attention in attention_processor.py

* iinherit from ModelMixin

* inherit from ConfigMixin

* dc-ae reduce to one file

* update downsample and upsample

* clean code

* support DecoderOutput

* remove get_same_padding and val2tuple

* remove autocast and some assert

* update ResBlock

* remove contents within super().__init__

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

* remove opsequential

* update other blocks to support the removal of build_norm

* remove build encoder/decoder project in/out

* remove inheritance of RMSNorm2d from LayerNorm

* remove reset_parameters for RMSNorm2d
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* remove device and dtype in RMSNorm2d __init__
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

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

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

* remove op_list & build_block

* remove build_stage_main

* change file name to autoencoder_dc

* move LiteMLA to attention.py

* align with other vae decode output;

* add DC-AE into init files;

* update

* make quality && make style;

* quick push before dgx disappears again

* update

* make style

* update

* update

* fix

* refactor

* refactor

* refactor

* update

* possibly change to nn.Linear

* refactor

* make fix-copies

* replace vae with ae

* replace get_block_from_block_type to get_block

* replace downsample_block_type from Conv to conv for consistency

* add scaling factors

* incorporate changes for all checkpoints

* make style

* move mla to attention processor file; split qkv conv to linears

* refactor

* add tests

* from original file loader

* add docs

* add standard autoencoder methods

* combine attention processor

* fix tests

* update

* minor fix

* minor fix

* minor fix & in/out shortcut rename

* minor fix

* make style

* fix paper link

* update docs

* update single file loading

* make style

* remove single file loading support; todo for DN6

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

* add abstract

* 1. add DCAE into diffusers;
2. make style and make quality;

* add DCAE_HF into diffusers;

* bug fixed;

* add SanaPipeline, SanaTransformer2D into diffusers;

* add sanaLinearAttnProcessor2_0;

* first update for SanaTransformer;

* first update for SanaPipeline;

* first success run SanaPipeline;

* model output finally match with original model with the same intput;

* code update;

* code update;

* add a flow dpm-solver scripts

* 🎉[important update]
1. Integrate flow-dpm-sovler into diffusers;
2. finally run successfully on both `FlowMatchEulerDiscreteScheduler` and `FlowDPMSolverMultistepScheduler`;

* 🎉🔧

[important update & fix huge bugs!!]
1. add SanaPAGPipeline & several related Sana linear attention operators;
2. `SanaTransformer2DModel` not supports multi-resolution input;
2. fix the multi-scale HW bugs in SanaPipeline and SanaPAGPipeline;
3. fix the flow-dpm-solver set_timestep() init `model_output` and `lower_order_nums` bugs;

* remove prints;

* add convert sana official checkpoint to diffusers format Safetensor.

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/pag/pipeline_pag_sana.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/sana/pipeline_sana.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/sana/pipeline_sana.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update Sana for DC-AE's recent commit;

* make style && make quality

* Add StableDiffusion3PAGImg2Img Pipeline + Fix SD3 Unconditional PAG (#9932)

* fix progress bar updates in SD 1.5 PAG Img2Img pipeline

---------
Co-authored-by: Vinh H. Pham <phamvinh257@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* make the vae can be None in `__init__` of `SanaPipeline`

* Update src/diffusers/models/transformers/sana_transformer_2d.py
Co-authored-by: hlky <hlky@hlky.ac>

* change the ae related code due to the latest update of DCAE branch;

* change the ae related code due to the latest update of DCAE branch;

* 1. change code based on AutoencoderDC;
2. fix the bug of new GLUMBConv;
3. run success;

* update for solving conversation.

* 1. fix bugs and run convert script success;
2. Downloading ckpt from hub automatically;

* make style && make quality;

* 1. remove un-unsed parameters in init;
2. code update;

* remove test file

* refactor; add docs; add tests; update conversion script

* make style

* make fix-copies

* refactor

* udpate pipelines

* pag tests and refactor

* remove sana pag conversion script

* handle weight casting in conversion script

* update conversion script

* add a processor

* 1. add bf16 pth file path;
2. add complex human instruct in pipeline;

* fix fast \tests

* change gemma-2-2b-it ckpt to a non-gated repo;

* fix the pth path bug in conversion script;

* change grad ckpt to original; make style

* fix the complex_human_instruct bug and typo;

* remove dpmsolver flow scheduler

* apply review suggestions

* change the `FlowMatchEulerDiscreteScheduler` to default `DPMSolverMultistepScheduler` with flow matching scheduler.

* fix the tokenizer.padding_side='right' bug;

* update docs

* make fix-copies

* fix imports

* fix docs

* add integration test

* update docs

* update examples

* fix convert_model_output in schedulers

* fix failing tests

---------
Co-authored-by: Junyu Chen <chenjydl2003@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: chenjy2003 <70215701+chenjy2003@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>

* transformer

* make style & make fix-copies

* transformer

* add transformer tests

* 80% vae

* make style

* make fix-copies

* fix

* undo cogvideox changes

* update

* update

* match vae

* add docs

* t2v pipeline working; scheduler needs to be checked

* docs

* add pipeline test

* update

* update

* make fix-copies

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

* update

* copy t2v to i2v pipeline

* update

* apply review suggestions

* update

* make style

* remove framewise encoding/decoding

* pack/unpack latents

* image2video

* update

* make fix-copies

* update

* update

* rope scale fix

* debug layerwise code

* remove debug

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

* propagate precision changes to i2v pipeline

* remove downcast

* address review comments

* fix comment

* address review comments

* [Single File] LTX support for loading original weights (#10135)

* from original file mixin for ltx

* undo config mapping fn changes

* update

* add single file to pipelines

* update docs

* Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py

* Update src/diffusers/models/autoencoders/autoencoder_kl_ltx.py

* rename classes based on ltx review

* point to original repository for inference

* make style

* resolve conflicts correctly

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* using sd inpaint pipeline and sdxl pag inpaint pipeline to add changes

* using sd inpaint pipeline and sdxl pag inpaint pipeline to add changes

* finished the call function

* added auto pipeline

* merging diffusers

* ready to test

* ready to test

* added copied from and removed unnecessary tests

* make style changes

* doc changes

* updating example doc string

* style fix

* init

* adding imports

* quality

* Update src/diffusers/pipelines/pag/pipeline_pag_sd_inpaint.py

* make

* Update tests/pipelines/pag/test_pag_sd_inpaint.py

* slice and size

* slice

---------
Co-authored-by: Darshil Jariwala <darshiljariwala@Darshils-MacBook-Air.local>
Co-authored-by: Darshil Jariwala <jariwala.darshil2002@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>

* support sd3.5 in controlnet

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

* add: autoencoderkl tests

* autoencodertiny.

* fix

* asymmetric autoencoder.

* more

* integration tests for stable audio decoder.

* consistency decoder vae tests

* remove grad check from consistency decoder.

* cog

* bye test_models_vae.py

* fix

* fix

* remove allegro

* fixes

* fixes

* fixes

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

* Test `skip_guidance_layers` in pipelines

* Move to test_pipeline_stable_diffusion_3

* fix progress bar updates in SD 1.5 PAG Img2Img pipeline



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Co-authored-by: Vinh H. Pham <phamvinh257@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

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

* enable on xpu

* add 1 more

* add one more

* enable more

* add 1 more

* add more

* enable 1

* enable more cases

* enable

* enable

* update comment

* one more

* enable 1

* add more cases

* enable xpu

* add one more caswe

* add more cases

* add 1

* add more

* add more cases

* add case

* enable

* add more

* add more

* add more

* enbale more

* add more

* update code

* update test marker

* add skip back

* update comment

* remove single files

* remove

* style

* add

* revert

* reformat

* update decorator

* update

* update

* update

* Update tests/pipelines/deepfloyd_if/test_if.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update tests/pipelines/animatediff/test_animatediff_controlnet.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update tests/pipelines/animatediff/test_animatediff.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update tests/pipelines/animatediff/test_animatediff_controlnet.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* update float16

* no unitest.skipt

* update

* apply style check

* reapply format

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

* fix

* update expected slice

* improve control net index

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

* update

* update

* update

* update

* update

* update

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

* update

* update

* update

* update

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

* move vae flax module.

* controlnet module.

* prepare for PR.

* revert a commit

* gracefully deprecate controlnet deps.

* fix

* fix doc path

* fix-copies

* fix path

* style

* style

* conflicts

* fix

* fix-copies

* sparsectrl.

* updates

* fix

* updates

* updates

* updates

* fix

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

* update

* udpate

* update transformer

* make style

* fix

* add conversion script

* update

* fix

* update

* fix

* update

* fixes

* make style

* update

* update

* update

* init

* update

* update

* add

* up

* up

* up

* update

* mochi transformer

* remove original implementation

* make style

* update inits

* update conversion script

* docs

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fix docs

* pipeline fixes

* make style

* invert sigmas in scheduler; fix pipeline

* fix pipeline num_frames

* flip proj and gate in swiglu

* make style

* fix

* make style

* fix tests

* latent mean and std fix

* update

* cherry-pick 1069d210e1b9e84a366cdc7a13965626ea258178

* remove additional sigma already handled by flow match scheduler

* fix

* remove hardcoded value

* replace conv1x1 with linear

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* framewise decoding and conv_cache

* make style

* Apply suggestions from code review

* mochi vae encoder changes

* rebase correctly

* Update scripts/convert_mochi_to_diffusers.py

* fix tests

* fixes

* make style

* update

* make style

* update

* add framewise and tiled encoding

* make style

* make original vae implementation behaviour the default; note: framewise encoding does not work

* remove framewise encoding implementation due to presence of attn layers

* fight test 1

* fight test 2

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