GitLab

* fix loop bug in SlicedAttnProcessor


---------
Co-authored-by: neoshang <neoshang@tencent.com>

update

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

* up

* add comment to the tests + fix dit

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

update

* Switch to peft and multi proj layers

* Move Face ID loading and inference to core

---------
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>

* Support multiimage masking

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

* Skip `test_freeu_enabled ` on MPS

* Small fixes

- import skip_mps correctly
- disable all instances of test_freeu_enabled

* Empty commit to trigger tests

* Empty commit to trigger CI

* start printing the tensors.

* print full throttle

* set static slices for 7 tests.

* remove printing.

* flatten

* disable test for controlnet

* what happens when things are seeded properly?

* set the right value

* style./

* make pia test fail to check things

* print.

* fix pia.

* checking for animatediff.

* fix: animatediff.

* video synthesis

* final piece.

* style.

* print guess.

* fix: assertion for control guess.

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

update

* add from_pipe



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

fix

update

* speed up test_vae_slicing in animatediff

* speed up test_karras_schedulers_shape for attend and excite.

* style.

* get the static slices out.

* specify torch print options.

* modify

* test run with controlnet

* specify kwarg

* fix: things

* not None

* flatten

* controlnet img2img

* complete controlet sd

* finish more

* finish more

* finish more

* finish more

* finish the final batch

* add cpu check for expected_pipe_slice.

* finish the rest

* remove print

* style

* fix ssd1b controlnet test

* checking ssd1b

* disable the test.

* make the test_ip_adapter_single controlnet test more robust

* fix: simple inpaint

* multi

* disable panorama

* enable again

* panorama is shaky so leave it for now

* remove print

* raise tolerance.

use float16 and add torch.no_grad()

* add remove_all_hooks

* a few more fix and tests

* up

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* split tests

* add

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Fix typos

* Fix typos

* Fix typos

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

* update

* update

* update

* debug

* checking

* fix more

* remove device.

* fix-copies

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

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

* move model helper function in pipeline to EfficiencyMixin

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

* begin IPAdapterTesterMixin



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

* remove torch_dtype from to()

* remove torch_dtype from usage scripts.

* remove old lora backend

* Revert "remove old lora backend"

This reverts commit adcddf6ba421f847e7da2a0ce57b9456cae43356.

* harmonize the module structure for models in tests

* make the folders modules.

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

* feat: explicitly tag to diffusers when using push_to_hub

* remove tags.

* reset repo.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix: tests

* fix: push_to_hub behaviour for tagging from save_pretrained

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* import fixes.

* add library name to existing model card.

* add: standalone test for generate_model_card

* fix tests for standalone method

* moved library_name to a better place.

* merge create_model_card and generate_model_card.

* fix test

* address lucain's comments

* fix return identation

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* address further comments.

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>

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

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

clean-up kendinsky 3.0

* add comments to explain the code better

* add comments to explain the code better

* add comments to explain the code better

* add comments to explain the code better

* add comments to explain the code better

* fix more

* fix more

* fix more

* fix more

* fix more

* fix more

* ruff format

* not need to use doc-builder's black styling as the doc is styled in ruff

* make fix-copies

* comment

* use run_ruff

skip rendering
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* draft1

* update

* style

* move to the end of loop

* update

* update callbak_on_step_end_inputs

* Revert "update"

This reverts commit 5f9b153183d0cde3b850f14024d2e37ae8c19576.

* Revert "update callbak_on_step_end_inputs"

This reverts commit 44889f4dabad95b7ebb330faa5f1955b5d008c88.

* update

* update test required_optional_params

* remove self.lora_scale

* img2img

* inpaint

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix

* apply feedbacks on img2img + inpaint: keep only important pipeline attributes

* depth

* pix2pix

* make _callback_tensor_inputs an class variable so that we can use it for testing

* add a basic tst for callback

* add a read-only tensor input timesteps + fix tests

* add second test for callback cfg

* sdxl

* sdxl img2img

* sdxl inpaint

* kandinsky prior

* kandinsky decoder

* kandinsky img2img + combined

* kandinsky inpaint

* fix copies

* fix

* consistent default inputs

* fix copies

* wuerstchen_prior prior

* test_wuerstchen_decoder + fix test for prior

* wuerstchen_combined pipeline + skip tests

* skip test for kandinsky combined

* lcm

* remove timesteps etc

* add doc string

* copies

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

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

* make style and improve tests

* up

* up

* fix more

* fix cfg test

* tests for callbacks

* fix for real

* update

* lcm img2img

* add doc

* add doc page to index

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fix more

* fix more

* Update final model offload for more pipelines

Add test to ensure all pipeline components are returned to CPU after
execution with model offloading

* Add comment to explain early UNet offload in Text-to-Video pipeline

* Style

* fix: sdxl pipeline when unet is not available.

* fix moe

* account for text

* ifx more

* don't make unet optional.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* split conditionals.

* add optional components to sdxl pipeline

* propagate changes to the rest of the pipelines.

* add: test

* add to all

* fix: rest of the pipelines.

* use pipeline_class variable

* separate pipeline mixin

* use safe_serialization

* fix: test

* access actual output.

* add: optional test to adapter and ip2p sdxl pipeline tests/

* add optional test to controlnet sdxl.

* fix tests

* fix ip2p tests

* fix more

* fifx more.

* use np output type.

* fix for StableDiffusionXLMultiControlNetPipelineFastTests.

* fix: SDXLOptionalComponentsTesterMixin

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix tests

* Empty-Commit

* revert previous

* quality

* fix: test

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

* Fix type annotation on Scheduler.from_pretrained

* Fix type annotation on PIL.Image

* fix test

* initial commit

* change test

* updates:

* fix tests

* test fix

* test fix

* fix tests

* make test faster

* clean up

* fix precision in test

* fix precision

* Fix tests

* Fix logging test

* fix test

* fix test

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

* wip

* fix tests

* [Draft] Refactor model offload

* [Draft] Refactor model offload

* Apply suggestions from code review

* cpu offlaod updates

* remove model cpu offload from individual pipelines

* add hook to offload models to cpu

* clean up

* model offload

* add model cpu offload string

* make style

* clean up

* fixes for offload issues

* fix tests issues

* resolve merge conflicts

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

* make style

* Update src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py

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

* initial commit

* move modules to import struct

* add dummy objects and _LazyModule

* add lazy import to schedulers

* clean up unused imports

* lazy import on models module

* lazy import for schedulers module

* add lazy import to pipelines module

* lazy import altdiffusion

* lazy import audio diffusion

* lazy import audioldm

* lazy import consistency model

* lazy import controlnet

* lazy import dance diffusion ddim ddpm

* lazy import deepfloyd

* lazy import kandinksy

* lazy imports

* lazy import semantic diffusion

* lazy imports

* lazy import stable diffusion

* move sd output to its own module

* clean up

* lazy import t2iadapter

* lazy import unclip

* lazy import versatile and vq diffsuion

* lazy import vq diffusion

* helper to fetch objects from modules

* lazy import sdxl

* lazy import txt2vid

* lazy import stochastic karras

* fix model imports

* fix bug

* lazy import

* clean up

* clean up

* fixes for tests

* fixes for tests

* clean up

* remove import of torch_utils from utils module

* clean up

* clean up

* fix mistake import statement

* dedicated modules for exporting and loading

* remove testing utils from utils module

* fixes from  merge conflicts

* Update src/diffusers/pipelines/kandinsky2_2/__init__.py

* fix docs

* fix alt diffusion copied from

* fix check dummies

* fix more docs

* remove accelerate import from utils module

* add type checking

* make style

* fix check dummies

* remove torch import from xformers check

* clean up error message

* fixes after upstream merges

* dummy objects fix

* fix tests

* remove unused module import

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