GitLab

* allow hunyuan dit to run under 6GB for GPU VRAM

* add section in the docs/

minor docs changes in hunyuandit

* add hunyuandit doc

* update hunyuandit doc

* update hunyuandit 2d model

* update toctree.yml for hunyuandit

* implement marigold depth and normals pipelines in diffusers core

* remove bibtex

* remove deprecations

* remove save_memory argument

* remove validate_vae

* remove config output

* remove batch_size autodetection

* remove presets logic
move default denoising_steps and processing_resolution into the model config
make default ensemble_size 1

* remove no_grad

* add fp16 to the example usage

* implement is_matplotlib_available
use is_matplotlib_available, is_scipy_available for conditional imports in the marigold depth pipeline

* move colormap, visualize_depth, and visualize_normals into export_utils.py

* make the denoising loop more lucid
fix the outputs to always be 4d tensors or lists of pil images
support a 4d input_image case
attempt to support model_cpu_offload_seq
move check_inputs into a separate function
change default batch_size to 1, remove any logic to make it bigger implicitly

* style

* rename denoising_steps into num_inference_steps

* rename input_image into image

* rename input_latent into latents

* remove decode_image
change decode_prediction to use the AutoencoderKL.decode method

* move clean_latent outside of progress_bar

* refactor marigold-reusable image processing bits into MarigoldImageProcessor class

* clean up the usage example docstring

* make ensemble functions members of the pipelines

* add early checks in check_inputs
rename E into ensemble_size in depth ensembling

* fix vae_scale_factor computation

* better compatibility with torch.compile
better variable naming

* move export_depth_to_png to export_utils

* remove encode_prediction

* improve visualize_depth and visualize_normals to accept multi-dimensional data and lists
remove visualization functions from the pipelines
move exporting depth as 16-bit PNGs functionality from the depth pipeline
update example docstrings

* do not shortcut vae.config variables

* change all asserts to raise ValueError

* rename output_prediction_type to output_type

* better variable names
clean up variable deletion code

* better variable names

* pass desc and leave kwargs into the diffusers progress_bar
implement nested progress bar for images and steps loops

* implement scale_invariant and shift_invariant flags in the ensemble_depth function
add scale_invariant and shift_invariant flags readout from the model config
further refactor ensemble_depth
support ensembling without alignment
add ensemble_depth docstring

* fix generator device placement checks

* move encode_empty_text body into the pipeline call

* minor empty text encoding simplifications

* adjust pipelines' class docstrings to explain the added construction arguments

* improve the scipy failure condition
add comments
improve docstrings
change the default use_full_z_range to True

* make input image values range check configurable in the preprocessor
refactor load_image_canonical in preprocessor to reject unknown types and return the image in the expected 4D format of tensor and on right device
support a list of everything as inputs to the pipeline, change type to PipelineImageInput
implement a check that all input list elements have the same dimensions
improve docstrings of pipeline outputs
remove check_input pipeline argument

* remove forgotten print

* add prediction_type model config

* add uncertainty visualization into export utils
fix NaN values in normals uncertainties

* change default of output_uncertainty to False
better handle the case of an attempt to export or visualize none

* fix `output_uncertainty=False`

* remove kwargs
fix check_inputs according to the new inputs of the pipeline

* rename prepare_latent into prepare_latents as in other pipelines
annotate prepare_latents in normals pipeline with "Copied from"
annotate encode_image in normals pipeline with "Copied from"

* move nested-capable `progress_bar` method into the pipelines
revert the original `progress_bar` method in pipeline_utils

* minor message improvement

* fix cpu offloading

* move colormap, visualize_depth, export_depth_to_16bit_png, visualize_normals, visualize_uncertainty to marigold_image_processing.py
update example docstrings

* fix missing comma

* change torch.FloatTensor to torch.Tensor

* fix importing of MarigoldImageProcessor

* fix vae offloading
fix batched image encoding
remove separate encode_image function and use vae.encode instead

* implement marigold's intial tests
relax generator checks in line with other pipelines
implement return_dict __call__ argument in line with other pipelines

* fix num_images computation

* remove MarigoldImageProcessor and outputs from import structure
update tests

* update docstrings

* update init

* update

* style

* fix

* fix

* up

* up

* up

* add simple test

* up

* update expected np input/output to be channel last

* move expand_tensor_or_array into the MarigoldImageProcessor

* rewrite tests to follow conventions - hardcoded slices instead of image artifacts
write more smoke tests

* add basic docs.

* add anton's contribution statement

* remove todos.

* fix assertion values for marigold depth slow tests

* fix assertion values for depth normals.

* remove print

* support AutoencoderTiny in the pipelines

* update documentation page
add Available Pipelines section
add Available Checkpoints section
add warning about num_inference_steps

* fix missing import in docstring
fix wrong value in visualize_depth docstring

* [doc] add marigold to pipelines overview

* [doc] add section "usage examples"

* fix an issue with latents check in the pipelines

* add "Frame-by-frame Video Processing with Consistency" section

* grammarly

* replace tables with images with css-styled images (blindly)

* style

* print

* fix the assertions.

* take from the github runner.

* take the slices from action artifacts

* style.

* update with the slices from the runner.

* remove unnecessary code blocks.

* Revert "[doc] add marigold to pipelines overview"

This reverts commit a505165150afd8dab23c474d1a054ea505a56a5f.

* remove invitation for new modalities

* split out marigold usage examples

* doc cleanup

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

* Add details about 1-stage implementation

* Add details about 1-stage implementation

* 1. add doc for PixArtSigmaPipeline;

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Guillaume LEGENDRE <glegendre01@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Hyoungwon Cho <jhw9811@korea.ac.kr>
Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: Tolga Cangöz <46008593+standardAI@users.noreply.github.com>
Co-authored-by: Philip Pham <phillypham@google.com>

* update conversion script to handle motion adapter sdxl checkpoint

* add animatediff xl

* handle addition_embed_type

* fix output

* update

* add imports

* make fix-copies

* add decode latents

* update docstrings

* add animatediff sdxl to docs

* remove unnecessary lines

* update example

* add test

* revert conv_in conv_out kernel param

* remove unused param addition_embed_type_num_heads

* latest IPAdapter impl

* make fix-copies

* fix return

* add IPAdapterTesterMixin to tests

* fix return

* revert based on suggestion

* add freeinit

* fix test_to_dtype test

* use StableDiffusionMixin instead of different helper methods

* fix progress bar iterations

* apply suggestions from review

* hardcode flip_sin_to_cos and freq_shift

* make fix-copies

* fix ip adapter implementation

* fix last failing test

* make style

* Update docs/source/en/api/pipelines/animatediff.md
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* remove todo

* fix doc-builder errors

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

* refactor

* code snippets

* fix path

* fix path in guide

* code outputs

* align toctree title

* title

* fix title

* autopipeline

* edits

* feedback

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

* CheckIn - created DownSubBlocks

* Added extra channels, implemented subblock fwd

* Fixed connection sizes

* checkin

* Removed iter, next in forward

* Models for SD21 & SDXL run through

* Added back pipelines, cleared up connections

* Cleaned up connection creation

* added debug logs

* updated logs

* logs: added input loading

* Update umer_debug_logger.py

* log: Loading hint

* Update umer_debug_logger.py

* added logs

* Changed debug logging

* debug: added more logs

* Fixed num_norm_groups

* Debug: Logging all of SDXL input

* Update umer_debug_logger.py

* debug: updated logs

* checkim

* Readded tests

* Removed debug logs

* Fixed Slow Tests

* Added value ckecks | Updated model_cpu_offload_seq

* accelerate-offloading works ; fast tests work

* Made unet & addon explicit in controlnet

* Updated slow tests

* Added dtype/device to ControlNetXS

* Filled in test model paths

* Added image_encoder/feature_extractor to XL pipe

* Fixed fast tests

* Added comments and docstrings

* Fixed copies

* Added docs ; Updates slow tests

* Moved changes to UNetMidBlock2DCrossAttn

* tiny cleanups

* Removed stray prints

* Removed ip adapters + freeU

- Removed ip adapters + freeU as they don't make sense for ControlNet-XS
- Fixed imports of UNet components

* Fixed test_save_load_float16

* Make style, quality, fix-copies

* Changed loading/saving API for ControlNetXS

- Changed loading/saving API for ControlNetXS
- other small fixes

* Removed ControlNet-XS from research examples

* Make style, quality, fix-copies

* Small fixes

- deleted ControlNetXSModel.init_original
- added time_embedding_mix to StableDiffusionControlNetXSPipeline .from_pretrained / StableDiffusionXLControlNetXSPipeline.from_pretrained
- fixed copy hints

* checkin May 11 '23

* CheckIn Mar 12 '24

* Fixed tests for SD

* Added tests for UNetControlNetXSModel

* Fixed SDXL tests

* cleanup

* Delete Pipfile

* CheckIn Mar 20

Started replacing sub blocks  by `ControlNetXSCrossAttnDownBlock2D` and `ControlNetXSCrossAttnUplock2D`

* check-in Mar 23

* checkin 24 Mar

* Created init for UNetCnxs and CnxsAddon

* CheckIn

* Made from_modules, from_unet and no_control work

* make style,quality,fix-copies & small changes

* Fixed freezing

* Added gradient ckpt'ing; fixed tests

* Fix slow tests(+compile) ; clear naming confusion

* Don't create UNet in init ; removed class_emb

* Incorporated review feedback

- Deleted get_base_pipeline /  get_controlnet_addon for pipes
- Pipes inherit from StableDiffusionXLPipeline
- Made module dicts for cnxs-addon's down/mid/up classes
- Added support for qkv fusion and freeU

* Make style, quality, fix-copies

* Implemented review feedback

* Removed compatibility check for vae/ctrl embedding

* make style, quality, fix-copies

* Delete Pipfile

* Integrated review feedback

- Importing ControlNetConditioningEmbedding now
- get_down/mid/up_block_addon now outside class
- renamed `do_control` to `apply_control`

* Reduced size of test tensors

For this, added `norm_num_groups` as parameter everywhere

* Renamed cnxs-`Addon` to cnxs-`Adapter`

- `ControlNetXSAddon` -> `ControlNetXSAdapter`
- `ControlNetXSAddonDownBlockComponents` -> `DownBlockControlNetXSAdapter`, and similarly for mid/up
- `get_mid_block_addon` -> `get_mid_block_adapter`, and similarly for mid/up

* Fixed save_pretrained/from_pretrained bug

* Removed redundant code

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

* refactor t2i

* add code snippets

* add audioldm2 tts

* change gpt2 max new tokens

* remove unnecessary pipeline and class

* add TTS to AudioLDM2Pipeline

* add TTS docs

* delete unnecessary file

* remove unnecessary import

* add audioldm2 slow testcase

* fix code quality

* remove AudioLDMLearnablePositionalEmbedding

* add variable check vits encoder

* add use_learned_position_embedding

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

* update

* fix

* gradio docs

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

* changes

* changes

* changes

* Update docs/source/en/api/pipelines/stable_diffusion/overview.md

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

* Setup LEdits++ file structure

* Fix import

* LEditsPP Stable Diffusion pipeline

* Include variable image aspect ratios

* Implement LEDITS++ for SDXL

* clean up LEditsPPPipelineStableDiffusion

* Adjust inversion output

* Added docu, more cleanup for LEditsPPPipelineStableDiffusion

* clean up LEditsPPPipelineStableDiffusionXL

* Update documentation

* Fix documentation import

* Add skeleton IF implementation

* Fix documentation typo

* Add LEDTIS docu to toctree

* Add missing title

* Finalize SD documentation

* Finalize SD-XL documentation

* Fix code style and quality

* Fix typo

* Fix return types

* added LEditsPPPipelineIF; minor changes for LEditsPPPipelineStableDiffusion and LEditsPPPipelineStableDiffusionXL

* Fix copy reference

* add documentation for IF

* Add first tests

* Fix batching for SD-XL

* Fix text encoding and perfect reconstruction for SD-XL

* Add tests for SD-XL, minor changes

* move user_mask to correct device, use cross_attention_kwargs also for inversion

* Example docstring

* Fix attention resolution for non-square images

* Refactoring for PR review

* Safely remove ledits_utils.py

* Style fixes

* Replace assertions with ValueError

* Remove LEditsPPPipelineIF

* Remove unecessary input checks

* Refactoring of CrossAttnProcessor

* Revert unecessary changes to scheduler

* Remove first progress-bar in inversion

* Refactor scheduler usage and reset

* Use imageprocessor instead of custom logic

* Fix scheduler init warning

* Fix error when running the pipeline in fp16

* Update documentation wrt perfect inversion

* Update tests

* Fix code quality and copy consistency

* Update LEditsPP import

* Remove enable/disable methods that are now in StableDiffusionMixin

* Change import in docs

* Revert import structure change

* Fix ledits imports

---------
Co-authored-by: Katharina Kornmeier <katharina.kornmeier@stud.tu-darmstadt.de>

* updates

* update

* update

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

* update

* update

* update

* update

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Kashif Rasul <kashif.rasul@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

---------
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>

* Add copyright notice to relevant files and fix typos

* Set `timestep_spacing` parameter of `StableDiffusionXLPipeline`'s scheduler to `'trailing'`.

* Update `StableDiffusionXLPipeline.from_single_file` by including EulerAncestralDiscreteScheduler with `timestep_spacing="trailing"` param.

* Update model loading method in SDXL Turbo documentation

update

* update

* update

* update

* first draft

* fix path

* fix path

* i2vgen-xl

* review

* modelscopet2v

* feedback

change to 2024

* update

* update

* update

* Update src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update

* update

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

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

* update

* update

* updaet

* add tests and docs

* clean up

* add to toctree

* fix copies

* pr review feedback

* fix copies

* fix tests

* update docs

* update

* update

* update docs

* update

* update

* update

* update

* add animatediff vid2vid to docs

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

* apply suggestions from review

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

* begin animatediff img2video and video2video

* revert animatediff to original implementation

* add img2video as pipeline

* update

* add vid2vid pipeline

* update imports

* update

* remove copied from line for check_inputs

* update

* update examples

* add multi-batch support

* fix __init__.py files

* move img2vid to community

* update community readme and examples

* fix

* make fix-copies

* add vid2vid batch params

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* add test for animatediff vid2vid

* torch.stack -> torch.cat
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* make style

* docs for vid2vid

* update

* fix prepare_latents

* fix docs

* remove img2vid

* update README to :main

* remove slow test

* refactor pipeline output

* update docs

* update docs

* merge community readme from :main

* final fix i promise

* add support for url in animatediff example

* update example

* update callbacks to latest implementation

* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix merge

* Apply suggestions from code review

* remove callback and callback_steps as suggested in review

* Update tests/pipelines/animatediff/test_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix import error caused due to unet refactor in #6630

* fix numpy import error after tensor2vid refactor in #6626

* make fix-copies

* fix numpy error

* fix progress bar test

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

* freeinit

* update freeinit implementation based on review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* fix

* another fix

* refactor

* fix timesteps missing bug

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* add test for freeinit

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* refactor

* fix test

* fix tensor not on same device

* update

* remove return_intermediate_results

* fix broken freeinit test

* update animatediff docs

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

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

* update

* update

* update

* update

* update

* make style

* remove docs

* update

* move to research folder.

* fix-copies

* remove _toctree entry.

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

* amused update links to new repo

* lint

other pipelines

* update

* update

* update

amused

rename

Update docs/source/en/api/pipelines/amused.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

AdaLayerNormContinuous default values

custom micro conditioning

micro conditioning docs

put lookup from codebook in constructor

fix conversion script

remove manual fused flash attn kernel

add training script

temp remove training script

add dummy gradient checkpointing func

clarify temperatures is an instance variable by setting it

remove additional SkipFF block args

hardcode norm args

rename tests folder

fix paths and samples

fix tests

add training script

training readme

lora saving and loading

non-lora saving/loading

some readme fixes

guards

Update docs/source/en/api/pipelines/amused.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

Update examples/amused/README.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

Update examples/amused/train_amused.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

vae upcasting

add fp16 integration tests

use tuple for micro cond

copyrights

remove casts

delegate to torch.nn.LayerNorm

move temperature to pipeline call

upsampling/downsampling changes

ldm3d.

* deprecate pipe

* make style

* update

* add deprecation message

* format

* remove tests for deprecated pipelines

* remove deprecation message

* make style

* fix copies

* clean up

* clean

* clean

* clean

* clean up

* clean up

* clean up toctree

* clean up

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

* Check in 23-10-05

* check-in 23-10-06

* check-in 23-10-07 2pm

* check-in 23-10-08

* check-in 231009T1200

* check-in 230109

* checkin 231010

* init + forward run

* checkin

* checkin

* ControlNetXSModel is now saveable+loadable

* Forward works

* checkin

* Pipeline works with `no_control=True`

* checkin

* debug: save intermediate outputs of resnet

* checkin

* Understood time error + fixed connection error

* checkin

* checkin 231106T1600

* turned off detailled debug prints

* time debug logs

* small fix

* Separated control_scale for connections/time

* simplified debug logging

* Full denoising works with control scale = 0

* aligned logs

* Added control_attention_head_dim param

* Passing n_heads instead of dim_head into ctrl unet

* Fixed ctrl midblock bug

* Cleanup

* Fixed time dtype bug

* checkin

* 1. from_unet, 2. base passed, 3. all unet params

* checkin

* Finished docstrings

* cleanup

* make style

* checkin

* more tests pass

* Fixed tests

* removed debug logs

* make style + quality

* make fix-copies

* fixed documentation

* added cnxs to doc toc

* added control start/end param

* Update controlnetxs_sdxl.md

* tried to fix copies..

* Fixed norm_num_groups in from_unet

* added sdxl-depth test

* created SD2.1 controlnet-xs pipeline

* re-added debug logs

* Adjusting group norm ; readded logs

* Added debug log statements

* removed debug logs ; started tests for sd2.1

* updated sd21 tests

* fixed tests

* fixed tests

* slightly increased error tolerance for 1 test

* make style & quality

* Added docs for CNXS-SD

* make fix-copies

* Fixed sd compile test ; fixed gradient ckpointing

* vae downs = cnxs conditioning downs; removed guess

* make style & quality

* Fixed tests

* fixed test

* Incorporated review feedback

* simplified control model surgery

* fixed tests & make style / quality

* Updated docs; deleted pip & cursor files

* Rolled back minimal change to resnet

* Update resnet.py

* Update resnet.py

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

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

* Incorporated review feedback

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

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

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

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

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

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

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

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

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

* Incorporated doc feedback

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

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