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168 Commits

Author SHA1 Message Date
Tolga Cangöz
c375903db5 Errata - Fix typos & improve contributing page (#8572) 
* Fix typos & improve contributing page

* `make style && make quality`

* fix typos

* Fix typo

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-06-24 14:13:03 +05:30
YiYi Xu
c71c19c5e6 a few fix for shard checkpoints (#8656) 
fix

Co-authored-by: yiyixuxu <yixu310@gmail,com>
 2024-06-21 12:50:58 +05:30
Marc Sun
96399c3ec6 Fix sharding when no device_map is passed (#8531) 
* Fix sharding when no device_map is passed

* style

* add tests

* align

* add docstring

* format

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-06-18 05:47:23 -10:00
Dhruv Nair
04717fd861 Add Stable Diffusion 3 (#8483) 
* up

* add sd3

* update

* update

* add tests

* fix copies

* fix docs

* update

* add dreambooth lora

* add LoRA

* update

* update

* update

* update

* import fix

* update

* Update src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3.py

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

* import fix 2

* update

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* update

* update

* update

* fix ckpt id

* fix more ids

* update

* missing doc

* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py

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

* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py

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

* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md

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

* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md

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

* update'

* fix

* update

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

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

* note on gated access.

* requirements

* licensing

---------

Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2024-06-12 20:44:00 +01:00
Sayak Paul
7d887118b9 [Core] support saving and loading of sharded checkpoints (#7830) 
* feat: support saving a model in sharded checkpoints.

* feat: make loading of sharded checkpoints work.

* add tests

* cleanse the loading logic a bit more.

* more resilience while loading from the Hub.

* parallelize shard downloads by using snapshot_download()/

* default to a shard size.

* more fix

* Empty-Commit

* debug

* fix

* uality

* more debugging

* fix more

* initial comments from Benjamin

* move certain methods to loading_utils

* add test to check if the correct number of shards are present.

* add a test to check if loading of sharded checkpoints from the Hub is okay

* clarify the unit when passed as an int.

* use hf_hub for sharding.

* remove unnecessary code

* remove unnecessary function

* lucain's comments.

* fixes

* address high-level comments.

* fix test

* subfolder shenanigans./

* Update src/diffusers/utils/hub_utils.py

Co-authored-by: Lucain <lucainp@gmail.com>

* Apply suggestions from code review

Co-authored-by: Lucain <lucainp@gmail.com>

* remove _huggingface_hub_version as not needed.

* address more feedback.

* add a test for local_files_only=True/

* need hf hub to be at least 0.23.2

* style

* final comment.

* clean up subfolder.

* deal with suffixes in code.

* _add_variant default.

* use weights_name_pattern

* remove add_suffix_keyword

* clean up downloading of sharded ckpts.

* don't return something special when using index.json

* fix more

* don't use bare except

* remove comments and catch the errors better

* fix a couple of things when using is_file()

* empty

---------

Co-authored-by: Lucain <lucainp@gmail.com>
 2024-06-07 14:49:10 +05:30
Sayak Paul
a0542c1917 [LoRA] Remove legacy LoRA code and related adjustments (#8316) 
* remove legacy code from load_attn_procs.

* finish first draft

* fix more.

* fix more

* add test

* add serialization support.

* fix-copies

* require peft backend for lora tests

* style

* fix test

* fix loading.

* empty

* address benjamin's feedback.
 2024-06-05 08:15:30 +04:00
Sayak Paul
983dec3bf7 [Core] Introduce class variants for Transformer2DModel (#7647) 
* init for patches

* finish patched model.

* continuous transformer

* vectorized transformer2d.

* style.

* inits.

* fix-copies.

* introduce DiTTransformer2DModel.

* fixes

* use REMAPPING as suggested by @DN6

* better logging.

* add pixart transformer model.

* inits.

* caption_channels.

* attention masking.

* fix use_additional_conditions.

* remove print.

* debug

* flatten

* fix: assertion for sigma

* handle remapping for modeling_utils

* add tests for dit transformer2d

* quality

* placeholder for pixart tests

* pixart tests

* add _no_split_modules

* add docs.

* check

* check

* check

* check

* fix tests

* fix tests

* move Transformer output to modeling_output

* move errors better and bring back use_additional_conditions attribute.

* add unnecessary things from DiT.

* clean up pixart

* fix remapping

* fix device_map things in pixart2d.

* replace Transformer2DModel with appropriate classes in dit, pixart tests

* empty

* legacy mixin classes./

* use a remapping dict for fetching class names.

* change to specifc model types in the pipeline implementations.

* move _fetch_remapped_cls_from_config to modeling_loading_utils.py

* fix dependency problems.

* add deprecation note.
 2024-05-31 13:40:27 +05:30
Sayak Paul
ba1bfac20b [Core] Refactor IPAdapterPlusImageProjection a bit (#7994) 
* use IPAdapterPlusImageProjectionBlock in IPAdapterPlusImageProjection

* reposition IPAdapterPlusImageProjection

* refactor complete?

* fix heads param retrieval.

* update test dict creation method.
 2024-05-29 06:30:47 +05:30
Dhruv Nair
baab065679 Remove unnecessary single file tests for SD Cascade UNet (#7996) 
update
 2024-05-22 12:29:59 +05:30
Isamu Isozaki
d27e996ccd Adding VQGAN Training script (#5483) 
* Init commit

* Removed einops

* Added default movq config for training

* Update explanation of prompts

* Fixed inheritance of discriminator and init_tracker

* Fixed incompatible api between muse and here

* Fixed output

* Setup init training

* Basic structure done

* Removed attention for quick tests

* Style fixes

* Fixed vae/vqgan styles

* Removed redefinition of wandb

* Fixed log_validation and tqdm

* Nothing commit

* Added commit loss to lookup_from_codebook

* Update src/diffusers/models/vq_model.py

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

* Adding perliminary README

* Fixed one typo

* Local changes

* Fixed main issues

* Merging

* Update src/diffusers/models/vq_model.py

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

* Testing+Fixed bugs in training script

* Some style fixes

* Added wandb to docs

* Fixed timm test

* get testing suite ready.

* remove return loss

* remove return_loss

* Remove diffs

* Remove diffs

* fix ruff format

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
 2024-05-15 08:47:12 +05:30
Dhruv Nair
cb0f3b49cb [Refactor] Better align from_single_file logic with from_pretrained (#7496) 
* refactor unet single file loading a bit.

* retrieve the unet from create_diffusers_unet_model_from_ldm

* update

* update

* updae

* update

* update

* update

* update

* update

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* update

* update

* update

* update

* update

* tests

* update

* update

* update

* Update docs/source/en/api/single_file.md

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

* Update docs/source/en/api/single_file.md

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/api/loaders/single_file.md

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

* Update src/diffusers/loaders/single_file.py

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

* Update docs/source/en/api/loaders/single_file.md

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

* Update docs/source/en/api/loaders/single_file.md

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

* Update docs/source/en/api/loaders/single_file.md

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

* Update docs/source/en/api/loaders/single_file.md

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

* update

* update

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* update

* update

---------

Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2024-05-09 19:00:19 +05:30
HelloWorldBeginner
58237364b1 Add Ascend NPU support for SDXL fine-tuning and fix the model saving bug when using DeepSpeed. (#7816) 
* Add Ascend NPU support for SDXL fine-tuning and fix the model saving bug when using DeepSpeed.

* fix check code quality

* Decouple the NPU flash attention and make it an independent module.

* add doc and unit tests for npu flash attention.

---------

Co-authored-by: mhh001 <mahonghao1@huawei.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-05-03 08:14:34 -10:00
Sayak Paul
8909ab4b19 [Tests] fix: device map tests for models (#7825) 
* fix: device module tests

* remove patch file

* Empty-Commit
 2024-05-01 18:45:47 +05:30
Sayak Paul
3fd31eef51 [Core] introduce _no_split_modules to ModelMixin (#6396) 
* introduce _no_split_modules.

* unnecessary spaces.

* remove unnecessary kwargs and style

* fix: accelerate imports.

* change to _determine_device_map

* add the blocks that have residual connections.

* add: CrossAttnUpBlock2D

* add: testin

* style

* line-spaces

* quality

* add disk offload test without safetensors.

* checking disk offloading percentages.

* change model split

* add: utility for checking multi-gpu requirement.

* model parallelism test

* splits.

* splits.

* splits

* splits.

* splits.

* splits.

* offload folder to test_disk_offload_with_safetensors

* add _no_split_modules

* fix-copies
 2024-04-30 08:46:51 +05:30
Sayak Paul
b833d0fc80 [Tests] mark UNetControlNetXSModelTests::test_forward_no_control to be flaky (#7771) 
decorate UNetControlNetXSModelTests::test_forward_no_control with is_flaky
 2024-04-25 07:29:04 +05:30
Dhruv Nair
9ef43f38d4 Fix test for consistency decoder. (#7746) 
update
 2024-04-24 12:28:11 +05:30
YiYi Xu
e5674015f3 adding back test_conversion_when_using_device_map (#7704) 
* style


* Fix device map nits (#7705)


---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-04-18 19:21:32 -10:00
Fabio Rigano
b5c8b555d7 Move IP Adapter Face ID to core (#7186) 
* Switch to peft and multi proj layers

* Move Face ID loading and inference to core

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-04-18 14:13:27 -10:00
UmerHA
fda1531d8a Fixing implementation of ControlNet-XS (#6772) 
* 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>
 2024-04-16 21:56:20 +05:30
YiYi Xu
a341b536a8 disable test_conversion_when_using_device_map (#7620) 
* disable test

* update

---------

Co-authored-by: yiyixuxu <yixu310@gmail,com>
 2024-04-09 09:01:19 -10:00
Sayak Paul
1c60e094de [Tests] reduce block sizes of UNet and VAE tests (#7560) 
* reduce block sizes for unet1d.

* reduce blocks for unet_2d.

* reduce block size for unet_motion

* increase channels.

* correctly increase channels.

* reduce number of layers in unet2dconditionmodel tests.

* reduce block sizes for unet2dconditionmodel tests

* reduce block sizes for unet3dconditionmodel.

* fix: test_feed_forward_chunking

* fix: test_forward_with_norm_groups

* skip spatiotemporal tests on MPS.

* reduce block size in AutoencoderKL.

* reduce block sizes for vqmodel.

* further reduce block size.

* make style.

* Empty-Commit

* reduce sizes for ConsistencyDecoderVAETests

* further reduction.

* further block reductions in AutoencoderKL and AssymetricAutoencoderKL.

* massively reduce the block size in unet2dcontionmodel.

* reduce sizes for unet3d

* fix tests in unet3d.

* reduce blocks further in motion unet.

* fix: output shape

* add attention_head_dim to the test configuration.

* remove unexpected keyword arg

* up a bit.

* groups.

* up again

* fix
 2024-04-05 10:08:32 +05:30
Dhruv Nair
4d39b7483d Memory clean up on all Slow Tests (#7514) 
* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-03-29 14:23:28 +05:30
YiYi Xu
34c90dbb31 fix OOM for test_vae_tiling (#7510) 
use float16 and add torch.no_grad()
 2024-03-29 08:22:39 +05:30
M. Tolga Cangöz
443aa14e41 Fix Tiling in ConsistencyDecoderVAE (#7290) 
* Fix typos

* Add docstring to `decode` method in `ConsistencyDecoderVAE`

* Fix tiling

* Enable tiled VAE decoding with customizable tile sample size and overlap factor

* Revert "Enable tiled VAE decoding with customizable tile sample size and overlap factor"

This reverts commit 181049675e.

* Add VAE tiling test for `ConsistencyDecoderVAE`

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-03-26 17:59:08 +05:30
Sayak Paul
484c8ef399 [tests] skip dynamo tests when python is 3.12. (#7458) 
skip dynamo tests when python is 3.12.
 2024-03-26 08:39:48 +05:30
M. Tolga Cangöz
a51b6cc86a [Docs] Fix typos (#7451) 
* Fix typos

* Fix typos

* Fix typos

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-03-25 11:48:02 -07:00
M. Tolga Cangöz
e97a633b63 Update access of configuration attributes (#7343) 
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-03-18 08:53:29 -10:00
Dhruv Nair
4974b84564 Update Cascade Tests (#7324) 
* update

* update

* update
 2024-03-14 20:51:22 +05:30
Dhruv Nair
41424466e3 [Tests] Fix incorrect constant in VAE scaling test. (#7301) 
update
 2024-03-14 10:24:01 +05:30
Dhruv Nair
ed224f94ba Add single file support for Stable Cascade (#7274) 
* update

* update

* update

* update

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-03-13 08:37:31 +05:30
Sayak Paul
531e719163 [LoRA] use the PyTorch classes wherever needed and start depcrecation cycles (#7204) 
* fix PyTorch classes and start deprecsation cycles.

* remove args crafting for accommodating scale.

* remove scale check in feedforward.

* assert against nn.Linear and not CompatibleLinear.

* remove conv_cls and lineaR_cls.

* remove scale

* 👋 scale.

* fix: unet2dcondition

* fix attention.py

* fix: attention.py again

* fix: unet_2d_blocks.

* fix-copies.

* more fixes.

* fix: resnet.py

* more fixes

* fix i2vgenxl unet.

* depcrecate scale gently.

* fix-copies

* Apply suggestions from code review

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

* quality

* throw warning when scale is passed to the the BasicTransformerBlock class.

* remove scale from signature.

* cross_attention_kwargs, very nice catch by Yiyi

* fix: logger.warn

* make deprecation message clearer.

* address final comments.

* maintain same depcrecation message and also add it to activations.

* address yiyi

* fix copies

* Apply suggestions from code review

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

* more depcrecation

* fix-copies

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2024-03-13 07:56:19 +05:30
Dhruv Nair
ac49f97a75 Add tests to check configs when using single file loading (#7099) 
* update

* update

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2024-02-27 15:47:23 +05:30
Aryan
bb1b76d3bf IPAdapterTesterMixin (#6862) 
* begin IPAdapterTesterMixin



---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2024-02-22 14:25:33 -10:00
Sayak Paul
30e5e81d58 change to 2024 in the license (#6902) 
change to 2024
 2024-02-08 08:19:31 -10:00
Sayak Paul
ec9840a5db [Refactor] harmonize the module structure for models in tests (#6738) 
* harmonize the module structure for models in tests

* make the folders modules.

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2024-02-01 14:23:39 +05:30
YiYi Xu
2e8d18e699 [IP-Adapter] Support multiple IP-Adapters (#6573) 
---------

Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Alvaro Somoza <somoza.alvaro@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
 2024-01-31 07:11:15 -10:00
Sayak Paul
09b7bfce91 [Core] move transformer scripts to transformers modules (#6747) 
* move transformer scripts to transformers modules

* move transformer model test

* move prior transformer test to  directory

* fix doc path

* correct doc path

* add: __init__.py
 2024-01-29 22:28:28 +05:30
Sayak Paul
d4c7ab7bf1 [Hub] feat: explicitly tag to diffusers when using push_to_hub (#6678) 
* 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>
 2024-01-26 23:01:48 +05:30
Sayak Paul
1f0705adcf [Big refactor] move unets to unets module 🦋 (#6630) 
* move unets to  module 🦋

* parameterize unet-level import.

* fix flax unet2dcondition model import

* models __init__

* mildly depcrecating models.unet_2d_blocks in favor of models.unets.unet_2d_blocks.

* noqa

* correct depcrecation behaviour

* inherit from the actual classes.

* Empty-Commit

* backwards compatibility for unet_2d.py

* backward compatibility for unet_2d_condition

* bc for unet_1d

* bc for unet_1d_blocks
 2024-01-23 08:57:58 +05:30
YiYi Xu
4c483deb90 [refactor embeddings] gligen + ip-adapter (#6244) 
* refactor ip-adapter-imageproj, gligen

---------

Co-authored-by: yiyixuxu <yixu310@gmail,com>
 2023-12-27 18:48:42 -10:00
Dhruv Nair
79a7ab92d1 Fix clearing backend cache from device agnostic testing (#6075) 
update
 2023-12-07 11:18:31 +05:30
Arsalan
f427345ab1 Device agnostic testing (#5612) 
* utils and test modifications to enable device agnostic testing

* device for manual seed in unet1d

* fix generator condition in vae test

* consistency changes to testing

* make style

* add device agnostic testing changes to source and one model test

* make dtype check fns private, log cuda fp16 case

* remove dtype checks from import utils, move to testing_utils

* adding tests for most model classes and one pipeline

* fix vae import
 2023-12-05 19:04:13 +05:30
takuoko
0a08d41961 [Feature] Support IP-Adapter Plus (#5915) 
* Support IP-Adapter Plus

* fix format

* restore before black format

* restore before black format

* generic

* Refactor PerceiverAttention

* format

* fix test and refactor PerceiverAttention

* generic encode_image

* keep attention implementation

* merge tests

* encode_image backward compatible

* code quality

* fix controlnet inpaint pipeline

* refactor FFN

* refactor FFN

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2023-12-04 12:43:34 +01:00
Suraj Patil
63f767ef15 Add SVD (#5895) 
* begin model

* finish blocks

* add_embedding

* addition_time_embed_dim

* use TimestepEmbedding

* fix temporal res block

* fix time_pos_embed

* fix add_embedding

* add conversion script

* fix model

* up

* add new resnet blocks

* make forward work

* return sample in original shape

* fix temb shape in TemporalResnetBlock

* add spatio temporal transformers

* add vae blocks

* fix blocks

* update

* update

* fix shapes in Alphablender and add time activation in res blcok

* use new blocks

* style

* fix temb shape

* fix SpatioTemporalResBlock

* reuse TemporalBasicTransformerBlock

* fix TemporalBasicTransformerBlock

* use TransformerSpatioTemporalModel

* fix TransformerSpatioTemporalModel

* fix time_context dim

* clean up

* make temb optional

* add blocks

* rename model

* update conversion script

* remove UNetMidBlockSpatioTemporal

* add in init

* remove unused arg

* remove unused arg

* remove more unsed args

* up

* up

* check for None

* update vae

* update up/mid blocks for decoder

* begin pipeline

* adapt scheduler

* add guidance scalings

* fix norm eps in temporal transformers

* add temporal autoencoder

* make pipeline run

* fix frame decodig

* decode in float32

* decode n frames at a time

* pass decoding_t to decode_latents

* fix decode_latents

* vae encode/decode in fp32

* fix dtype in TransformerSpatioTemporalModel

* type image_latents same as image_embeddings

* allow using differnt eps in temporal block for video decoder

* fix default values in vae

* pass num frames in decode

* switch spatial to temporal for mixing in VAE

* fix num frames during split decoding

* cast alpha to sample dtype

* fix attention in MidBlockTemporalDecoder

* fix typo

* fix guidance_scales dtype

* fix missing activation in TemporalDecoder

* skip_post_quant_conv

* add vae conversion

* style

* take guidance scale as input

* up

* allow passing PIL to export_video

* accept fps as arg

* add pipeline and vae in init

* remove hack

* use AutoencoderKLTemporalDecoder

* don't scale image latents

* add unet tests

* clean up unet

* clean TransformerSpatioTemporalModel

* add slow svd test

* clean up

* make temb optional in Decoder mid block

* fix norm eps in TransformerSpatioTemporalModel

* clean up temp decoder

* clean up

* clean up

* use c_noise values for timesteps

* use math for log

* update

* fix copies

* doc

* upcast vae

* update forward pass for gradient checkpointing

* make added_time_ids is tensor

* up

* fix upcasting

* remove post quant conv

* add _resize_with_antialiasing

* fix _compute_padding

* cleanup model

* more cleanup

* more cleanup

* more cleanup

* remove freeu

* remove attn slice

* small clean

* up

* up

* remove extra step kwargs

* remove eta

* remove dropout

* remove callback

* remove merge factor args

* clean

* clean up

* move to dedicated folder

* remove attention_head_dim

* docstr and small fix

* update unet doc strings

* rename decoding_t

* correct linting

* store c_skip and c_out

* cleanup

* clean TemporalResnetBlock

* more cleanup

* clean up vae

* clean up

* begin doc

* more cleanup

* up

* up

* doc

* Improve

* better naming

* better naming

* better naming

* better naming

* better naming

* better naming

* better naming

* better naming

* Apply suggestions from code review

* Default chunk size to None

* add example

* Better

* Apply suggestions from code review

* update doc

* Update src/diffusers/pipelines/stable_diffusion_video/pipeline_stable_diffusion_video.py

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

* style

* Get torch compile working

* up

* rename

* fix doc

* add chunking

* torch compile

* torch compile

* add modelling outputs

* torch compile

* Improve chunking

* Apply suggestions from code review

* Update docs/source/en/using-diffusers/svd.md

* Close diff tag

* remove slicing

* resnet docstr

* add docstr in resnet

* rename

* Apply suggestions from code review

* update tests

* Fix output type latents

* fix more

* fix more

* Update docs/source/en/using-diffusers/svd.md

* fix more

* add pipeline tests

* remove unused arg

* clean  up

* make sure get_scaling receives tensors

* fix euler scheduler

* fix get_scalings

* simply euler for now

* remove old test file

* use randn_tensor to create noise

* fix device for rand tensor

* increase expected_max_difference

* fix test_inference_batch_single_identical

* actually fix test_inference_batch_single_identical

* disable test_save_load_float16

* skip test_float16_inference

* skip test_inference_batch_single_identical

* fix test_xformers_attention_forwardGenerator_pass

* Apply suggestions from code review

* update StableVideoDiffusionPipelineSlowTests

* update image

* add diffusers example

* fix more

---------

Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>
 2023-11-29 19:13:36 +01:00
Patrick von Platen
e550163b9f [Vae] Make sure all vae's work with latent diffusion models (#5880) 
* 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
 2023-11-27 14:17:47 +01:00
YiYi Xu
ba352aea29 [feat] IP Adapters (author @okotaku ) (#5713) 
* add ip-adapter


---------

Co-authored-by: okotaku <to78314910@gmail.com>
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
 2023-11-21 07:34:30 -10:00
Kashif Rasul
6b04d61cf6 [Styling] stylify using ruff (#5841) 
* 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
 2023-11-20 11:48:34 +01:00
Will Berman
2a84e8bb5a fix memory consistency decoder test (#5828) 
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
 2023-11-17 09:31:01 -08:00
Patrick von Platen
bf406ea886 Correct consist dec (#5722) 
* uP

* Update src/diffusers/models/consistency_decoder_vae.py

* uP

* uP
 2023-11-09 13:10:24 +01:00
Will Berman
2fd46405cd consistency decoder (#5694) 
* consistency decoder

* rename

* Apply suggestions from code review

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

* Update src/diffusers/pipelines/consistency_models/pipeline_consistency_models.py

* uP

* Apply suggestions from code review

* uP

* uP

* uP

---------

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2023-11-09 12:21:41 +01:00