GitLab

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* update

* update

* update

* update

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* torchao quantizer


---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* 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>

* ControlNetUnion model

* 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>

* update


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

* update ptxla example

---------
Co-authored-by: Juan Acevedo <jfacevedo@google.com>
Co-authored-by: Pei Zhang <zpcore@gmail.com>
Co-authored-by: Pei Zhang <piz@google.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pei Zhang <pei@Peis-MacBook-Pro.local>
Co-authored-by: hlky <hlky@hlky.ac>

* fixed a dtype bfloat16 bug in torch_utils.py

when generating 1024*1024 image with bfloat16 dtype, there is an exception:
  File "/opt/conda/lib/python3.10/site-packages/diffusers/utils/torch_utils.py", line 107, in fourier_filter
    x_freq = fftn(x, dim=(-2, -1))
RuntimeError: Unsupported dtype BFloat16

* remove whitespace in torch_utils.py

* Update src/diffusers/utils/torch_utils.py

* Update torch_utils.py

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

* 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

---------
Co-authored-by: Junyu Chen <chenjydl2003@gmail.com>
Co-authored-by: YiYi Xu <yixu310@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>

* 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>

* update

---------
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

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

* fix

fix shutil.copy

* 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

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

* add a marker for big gpu tests

* update

* trigger on PRs temporarily.

* onnx

* fix

* total memory

* fixes

* reduce memory threshold.

* bigger gpu

* empty

* g6e

* Apply suggestions from code review

* address comments.

* fix

* fix

* fix

* fix

* fix

* okay

* further reduce.

* updates

* remove

* updates

* updates

* updates

* updates

* fixes

* fixes

* updates.

* fix

* workflow fixes.

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

* update

* refactor transformer part 1

* refactor part 2

* refactor part 3

* make style

* refactor part 4; modeling tests

* make style

* refactor part 5

* refactor part 6

* gradient checkpointing

* pipeline tests (broken atm)

* update

* add coauthor
Co-Authored-By: Huan Yang <hyang@fastmail.com>

* refactor part 7

* add docs

* make style

* add coauthor
Co-Authored-By: YiYi Xu <yixu310@gmail.com>

* make fix-copies

* undo unrelated change

* revert changes to embeddings, normalization, transformer

* refactor part 8

* make style

* refactor part 9

* make style

* fix

* apply suggestions from review

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

* update example

* remove attention mask for self-attention

* update

* copied from

* update

* update

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

fix bug

fix

* quantization config.

* fix-copies

* fix

* modules_to_not_convert

* add bitsandbytes utilities.

* make progress.

* fixes

* quality

* up

* up

rotary embedding refactor 2: update comments, fix dtype for use_real=False (#9312)

fix notes and dtype

up

up

* minor

* up

* up

* fix

* provide credits where due.

* make configurations work.

* fixes

* fix

* update_missing_keys

* fix

* fix

* make it work.

* fix

* provide credits to transformers.

* empty commit

* handle to() better.

* tests

* change to bnb from bitsandbytes

* fix tests

fix slow quality tests

SD3 remark

fix

complete int4 tests

add a readme to the test files.

add model cpu offload tests

warning test

* better safeguard.

* change merging status

* courtesy to transformers.

* move  upper.

* better

* make the unused kwargs warning friendlier.

* harmonize changes with https://github.com/huggingface/transformers/pull/33122



* style

* trainin tests

* feedback part i.

* Add Flux inpainting and Flux Img2Img (#9135)

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

Update `UNet2DConditionModel`'s error messages (#9230)

* refactor

[CI] Update Single file Nightly Tests (#9357)

* update

* update

feedback.

improve README for flux dreambooth lora (#9290)

* improve readme

* improve readme

* improve readme

* improve readme

fix one uncaught deprecation warning for accessing vae_latent_channels in VaeImagePreprocessor (#9372)

deprecation warning vae_latent_channels

add mixed int8 tests and more tests to nf4.

[core] Freenoise memory improvements (#9262)

* update

* implement prompt interpolation

* make style

* resnet memory optimizations

* more memory optimizations; todo: refactor

* update

* update animatediff controlnet with latest changes

* refactor chunked inference changes

* remove print statements

* update

* chunk -> split

* remove changes from incorrect conflict resolution

* remove changes from incorrect conflict resolution

* add explanation of SplitInferenceModule

* update docs

* Revert "update docs"

This reverts commit c55a50a271b2cefa8fe340a4f2a3ab9b9d374ec0.

* update docstring for freenoise split inference

* apply suggestions from review

* add tests

* apply suggestions from review

quantization docs.

docs.

* Revert "Add Flux inpainting and Flux Img2Img (#9135)"

This reverts commit 5799954dd4b3d753c7c1b8d722941350fe4f62ca.

* tests

* don

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

* contribution guide.

* changes

* empty

* fix tests

* harmonize with https://github.com/huggingface/transformers/pull/33546

.

* numpy_cosine_distance

* config_dict modification.

* remove if config comment.

* note for load_state_dict changes.

* float8 check.

* quantizer.

* raise an error for non-True low_cpu_mem_usage values when using quant.

* low_cpu_mem_usage shenanigans when using fp32 modules.

* don't re-assign _pre_quantization_type.

* make comments clear.

* remove comments.

* handle mixed types better when moving to cpu.

* add tests to check if we're throwing warning rightly.

* better check.

* fix 8bit test_quality.

* handle dtype more robustly.

* better message when keep_in_fp32_modules.

* handle dtype casting.

* fix dtype checks in pipeline.

* fix warning message.

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

* mitigate the confusing cpu warning

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Co-authored-by: Vishnu V Jaddipal <95531133+Gothos@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* cogvideox-fun control

* make style

* make fix-copies

* karras schedulers

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

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

* apply suggestions from review

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

[Fix] when run load pretain with local_files_only, local variable 'cached_folder' referenced before assignment (#9376)

Fix local variable 'cached_folder' referenced before assignment in hub_utils.py

Fix when use `local_files_only=True` with `subfolder`, local variable 'cached_folder' referenced before assignment issue.
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* merge 9588

* max_shard_size="5GB" for colab running

* conversion script updates; modeling test; refactor transformer

* make fix-copies

* Update convert_cogview3_to_diffusers.py

* initial pipeline draft

* make style

* fight bugs 🐛

🪳

* add example

* add tests; refactor

* make style

* make fix-copies

* add co-author

YiYi Xu <yixu310@gmail.com>

* remove files

* add docs

* add co-author
Co-Authored-By: YiYi Xu <yixu310@gmail.com>

* fight docs

* address reviews

* make style

* make model work

* remove qkv fusion

* remove qkv fusion tets

* address review comments

* fix make fix-copies error

* remove None and TODO

* for FP16(draft)

* make style

* remove dynamic cfg

* remove pooled_projection_dim as a parameter

* fix tests

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Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* added pag to sd img2img pipeline


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

* allow loras to be loaded with low_cpu_mem_usage.

* add flux support but note https://github.com/huggingface/diffusers/pull/9510\#issuecomment-2378316687



* low_cpu_mem_usage.

* fix-copies

* fix-copies again

* tests

* _LOW_CPU_MEM_USAGE_DEFAULT_LORA

* _peft_version default.

* version checks.

* version check.

* version check.

* version check.

* require peft 0.13.1.

* explicitly specify low_cpu_mem_usage=False.

* docs.

* transformers version 4.45.2.

* update

* fix

* empty

* better name initialize_dummy_state_dict.

* doc todos.

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

* style

* fix-copies

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

* refac: docstrings in import_utils.py

* Update import_utils.py

* Support bfloat16 for Upsample2D

* Add test and use is_torch_version

* Resolve comments and add decorator

* Simplify require_torch_version_greater_equal decorator

* Run make style

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

* Add pag to controlnet inpainting pipeline


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

* fix variant-idenitification.

* fix variant

* fix sharded variant checkpoint loading.

* Apply suggestions from code review

* fixes.

* more fixes.

* remove print.

* fixes

* fixes

* comments

* fixes

* apply suggestions.

* hub_utils.py

* fix test

* updates

* fixes

* fixes

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

* updates.

* removep patch file.

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

* Implemented FLUX controlnet support to Img2Img pipeline

* draft Init

* draft

* vae encode image

* make style

* image latents preparation

* remove image encoder from conversion script

* fix minor bugs

* make pipeline work

* make style

* remove debug prints

* fix imports

* update example

* make fix-copies

* add fast tests

* fix import

* update vae

* update docs

* update image link

* apply suggestions from review

* apply suggestions from review

* add slow test

* make use of learned positional embeddings

* apply suggestions from review

* doc change

* Update convert_cogvideox_to_diffusers.py

* make style

* final changes

* make style

* fix tests

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

* add animatediff + vid2vide + controlnet

* post tests fixes

* PR discussion fixes

* update docs

* change input video to links on HF + update an example

* make quality fix

* fix ip adapter test

* fix ip adapter test input

* update ip adapter test

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

* add vid2vid pipeline for cogvideox

* make fix-copies

* update docs

* fake context parallel cache, vae encode tiling

* add test for cog vid2vid

* use video link from HF docs repo

* add copied from comments; correctly rename test class

* refactor
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Co-authored-by: haofanwang <haofanwang.ai@gmail.com>

* Added pad controlnet sdxl img2img pipeline

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