GitLab

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

---------
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

* offload image_encoder

* add test

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

* Add converter method for ip adapters

* Move converter method

* Update to image proj converter

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

update

* [SVD] Fix guidance scale

* make style

* 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

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

* make style

* make style

* make style

* make style

* update

* update

* update

* feat: introduce autoencoders module

* more changes for styling and copy fixing

* path changes in the docs.

* fix: import structure in init.

* fix controlnetxs import

* feat: enable fused attention projections for other SD and SDXL pipelines

* add: test for SD fused projections.

* add an error message when dealing with _best_guess_weight_name ofline

* simplify condition

* update

* update