GitLab

* Respect offline mode when loading model

* default to local entry if connectionerror

* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.

* Update src/diffusers/models/unet_2d_blocks.py

This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/models/unet_2d_blocks.py

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

* Update unet_2d_blocks.py

I changed the Parameter to Args text.

* Update unet_2d_blocks.py

proper indentation set in this file.

* Update unet_2d_blocks.py

a little bit of change in the act_fun argument line.

* I run the black command to reformat style in the code

* Update unet_2d_blocks.py

similar doc-string add to have in the original diffusion repository.

* Batter way to write binarize function

* Solve check_code_quality error

* My mistake to run pull request but not reformated file

* Update image_processor.py

* remove extra variable and space

* Update image_processor.py

* Run ruff libarary to reformat my file

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

* 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

correct reading variables

* add StableDiffusionXLControlNetInpaintPipeline to auto pipeline

* fixed style

* Add unload_ip_adapter method

* Update attn_processors with original layers

* Add test

* Use set_default_attn_processor

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

* Update value_guided_sampling.py

Fix #6409

* Comply code style

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

* Add new state_dict_utils to __init__ utils

* style

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

* Create convert_diffusers_sdxl_lora_to_webui.py

* Move some conversion logic to utils

* fix logging import

* Add usage example

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

Fix support for MPS

MPS doesn't support float64

* refactor ip-adapter-imageproj, gligen

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

fix

* update

* update

* update

* update

* update

* make style

* remove docs

* update

* move to research folder.

* fix-copies

* remove _toctree entry.

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

* spit diffusers-native format from the get go.

* rejig the peft_to_diffusers mapping.

* amused update links to new repo

* lint

* Remove unused parameters and fixed `FutureWarning`

* Fixed wrong config instance

* update unittest for `DDIMInverseScheduler`

* add inpaint_full_res

* fix

* update

* move get_crop_region to image processor

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

* move apply_overlay to image processor

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

* 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

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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.

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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

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

fix: animatediff docs

* [Peft] fix saving / loading when unet is not "unet"

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

* undo stablediffusion-xl changes

* use unet_name to get unet for lora helpers

* use unet_name

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

Fix typos in the `ValueError` for a nested image list as `StableDiffusionControlNetPipeline` input. (#6286)

Fixed typos in the `ValueError` for a nested image list as input.

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.

remove pix2pix zero from init

* move panorama out.

* fix: diffedit

* fix: import.

* fix: impirt

* move attend and excite out.

* fix: import

* fix diffedit

move sag out of .

* move gligen out of stable diffusion.

* fix: import

* fix import module

move k diffusion out of stable_diffusion

This reverts commit bcecfbc8.

* move diffedit out of stable_diffuson

* fix: import

* style

* fix: import

* separate out upsamplers and downsamplers.

* import all the necessary blocks in resnet for backward comp.

* move upsample2d and downsample2d to utils.

* move downsample_2d to downsamplers.py

* apply feedback

* fix import

* samplers -> sampling

* EulerAncestral add `rescale_betas_zero_snr`

Uses same infinite sigma fix from EulerDiscrete. Interestingly the
ancestral version had the opposite problem: too much contrast instead of
too little.

* UT for EulerAncestral `rescale_betas_zero_snr`

* EulerAncestral upcast samples during step()

It helps this scheduler too, particularly when the model is using bf16.

While the noise dtype is still the model's it's automatically upcasted
for the add so all it affects is determinism.

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

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

update