GitLab

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

* update

* update

* update

* update

* update

* update

* update

* clean up

* clean up

* 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

* update

* update

* add Sa-Solver



---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: scxue <xueshuchen17@mails.ucas.edu.cn>
Co-authored-by: jschen <chenjunsong4@h-partners.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>

🤞🤞🤞

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

* fix

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Co-authored-by: yiyixuxu <yixu310@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

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

[Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline` (#6334)

* [Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline`.

* Refactor `check_inputs` in `StableDiffusionControlNetPipeline` to avoid redundant codes.

* Make the behavior of MultiControlNetModel to be the same to the original ControlNetModel

* Keep the code change minimum for nested list support

* Add fast test `test_inference_nested_image_input`

* Remove redundant check for nested image condition in `check_inputs`

Remove `len(image) == len(prompt)` check out of `check_image()`
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Better `ValueError` message for incompatible nested image list size
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Fix syntax error in `check_inputs`

* Remove warning message for multi-ControlNets with multiple prompts

* Fix a typo in test_controlnet.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Add test case for multiple prompts, single image conditioning in `StableDiffusionMultiControlNetPipelineFastTests`

* Improved `ValueError` message for nested `controlnet_conditioning_scale`

* Documenting the behavior of image list as `StableDiffusionControlNetPipeline` input

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

[SVD] Fix output_type="np"

update expected slice

* Added testing notebook and .load_ip_adapter to XLAdapterPipeline

* Added annotations

* deleted testing notebook

* Update src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_xl_adapter.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* code clean up

* Add feature_extractor and image_encoder to components

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

* add IP-Adapter to StableDiffusionXLControlNetImg2ImgPipeline

Update src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

fix tests

* fix failing test

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

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

* finish

* finish

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

* introduce unload_lora.

* fix-copies

* edebug

* debug

* more debug

* more more debug

* remove tests for LoRAAttnProcessors.

* rename

* debug

* debug test_with_different_scales_fusion_equivalence

* use the right method.

* place it right.

* let's see.

* let's see again

* alright then.

* add a comment.

This reverts commit 7715e6c3.

This reverts commit fb4aec0c.

* handle rest of the stuff related to deprecated lora stuff.

* fix: copies

* don't modify the uNet in-place.

* fix: temporal autoencoder.

* manually remove lora layers.

* don't copy unet.

* alright

* remove lora attn processors from unet3d

* fix: unet3d.

* styl

* Empty-Commit

* add: test to check if peft loras are loadable in non-peft envs.

* add torch_device approrpiately.

* fix: get_dummy_inputs().

* test logits.

* rename

* debug

* debug

* fix: generator

* new assertion values after fixing the seed.

* shape

* remove print statements and settle this.

* to update values.

* change values when lora config is initialized under a fixed seed.

* update colab link

* update notebook link

* sanity restored by getting the exact same values without peft.

* Add unload_ip_adapter method

* Update attn_processors with original layers

* Add test

* Use set_default_attn_processor

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

* start deprecating loraattn.

* fix

* wrap into unet_lora_state_dict

* utilize text_encoder_lora_params

* utilize text_encoder_attn_modules

* debug

* debug

* remove print

* don't use text encoder for test_stable_diffusion_lora

* load the procs.

* set_default_attn_processor

* fix: set_default_attn_processor call.

* fix: lora_components[unet_lora_params]

* checking for 3d.

* 3d.

* more fixes.

* debug

* debug

* debug

* debug

* more debug

* more debug

* more debug

* more debug

* more debug

* more debug

* hack.

* remove comments and prep for a PR.

* appropriate set_lora_weights()

* fix

* fix: test_unload_lora_sd

* fix: test_unload_lora_sd

* use dfault attebtion processors.

* debu

* debug nan

* debug nan

* debug nan

* use NaN instead of inf

* remove comments.

* fix: test_text_encoder_lora_state_dict_unchanged

* attention processor default

* default attention processors.

* default

* style

remove unnecessary components from lora peft suite/

* refactor ip-adapter-imageproj, gligen

---------
Co-authored-by: yiyixuxu <yixu310@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

* Remove unused parameters and fixed `FutureWarning`

* Fixed wrong config instance

* update unittest for `DDIMInverseScheduler`

* add interruptable pipelines

* add tests

* updatemsmq

* add interrupt property

* make fix copies

* Revert "make fix copies"

This reverts commit 914b35332bf05652965145af49a0dc14b9a7d1bf.

* add docs

* add tutorial

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

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

* update

* fix quality issues

* fix

* update

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add rescale_betas_zero_snr argument to DDPMScheduler.

* Propagate rescale_betas_zero_snr changes to DDPMParallelScheduler.

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

* add adapter_name in fuse

* add tesrt

* up

* fix CI

* adapt from suggestion

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* change to `require_peft_version_greater`

* change variable names in test

* Update src/diffusers/loaders/lora.py
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* break into 2 lines

* final comments

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* fix: lora peft dummy components

* fix: dummy components

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

* initialize alpha too.

* add: test

* remove config parsing

* store rank

* debug

* remove faulty test

update

update
Co-authored-by: Sayak Paul <spsayakpaul@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