GitLab

* Fix fuse Lora

* improve a bit

* make style

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

* ciao C file

* ciao C file

* test & make style

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

Update adapter.md to fix links to adapter pipelines

* add missing docstrings

* chore: run make quality

* improvement: include docs suggestion by @yiyixuxu

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

See #5325

* improvement: add typehints and docs to diffusers/models/activations.py

* improvement: add typehints and docs to diffusers/models/resnet.py

* decrease UNet2DConditionModel & ControlNetModel blocks

* decrease UNet2DConditionModel & ControlNetModel blocks

* decrease even more blocks & number of norm groups

* decrease vae block out channels and n of norm goups

* fix code style

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

* Reduce number of down block channels

* Remove debug code

* Set new excepted image slice values for sdxl euler test

* Update train_custom_diffusion.py

* make style

* Empty-Commit

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

Fix [core/GLIGEN]: TypeError when iterating over 0-d tensor with In-painting mode when EulerAncestralDiscreteScheduler is used (#5305)

* fix(gligen_inpaint_pipeline): 🐛

 Wrap the timestep() 0-d tensor in a list to convert to 1-d tensor. This avoids the TypeError caused by trying to directly iterate over a 0-dimensional tensor in the denoising stage

* test(gligen/gligen_text_image): unit test using the EulerAncestralDiscreteScheduler

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Co-authored-by: zhen-hao.chu <zhen-hao.chu@vitrox.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* Update pipeline_wuerstchen_prior.py

* prior_num_inference_steps updated

* height, width, num_inference_steps, and guidance_scale synced

* parameters synced

* latent_mean, latent_std, and resolution_multiple synced

* prior_num_inference_steps changed

* Formatted pipeline_wuerstchen_prior.py

* Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py

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Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>

tiny fixes

* start

* finish draft

* add section

* edits

* feedback

* make fix-copies

* rebase

fix: torch.compile() for lora conv

Add from single file to StableDiffusionUpscalePipeline and StableDiffusionLatentUpscalePipeline (#5194)

* add from single file

* clean up

* make style

* add single file loading for upscaling

bump tolerance on shape test

Min-SNR Gamma: correct the fix for SNR weighted loss in v-prediction by adding 1 to SNR rather than the resulting loss weights
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add: entry for DDPO support.

* move to training

* address steven's comments./

* ✨ Added Fourier filter function to upsample blocks

* 🔧 Update Fourier_filter for float16 support

* ✨ Added UNetFreeUConfig to UNet model for FreeU adaptation 🛠

️

* move unet to its original form and add fourier_filter to torch_utils.

* implement freeU enable mechanism

* implement disable mechanism

* resolution index.

* correct resolution idx condition.

* fix copies.

* no need to use resolution_idx in vae.

* spell out the kwargs

* proper config property

* fix attribution setting

* place unet hasattr properly.

* fix: attribute access.

* proper disable

* remove validation method.

* debug

* debug

* debug

* debug

* debug

* debug

* potential fix.

* add: doc.

* fix copies

* add: tests.

* add: support freeU in SDXL.

* set default value of resolution idx.

* set default values for resolution_idx.

* fix copies

* fix rest.

* fix copies

* address PR comments.

* run fix-copies

* move apply_free_u to utils and other minors.

* introduce support for video (unet3D)

* minor ups

* consistent fix-copies.

* consistent stuff

* fix-copies

* add: rest

* add: docs.

* fix: tests

* fix: doc path

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* style up

* move to techniques.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for video with freeu

* add: slow test for video with freeu

* add: slow test for video with freeu

* style

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

* Update _toctree.yml

* Add files via upload

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

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* handle case when controlnet is list

* Update src/diffusers/loaders.py

* Apply suggestions from code review

* Update src/diffusers/loaders.py

* typecheck comment

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

* pipline fetcher

* update script

* clean up

* clean up

* clean up

* new pipeline runner

* rename tests to match modules

* test actions in pr

* change runner to gpu

* clean up

* clean up

* clean up

* fix report

* fix reporting

* clean up

* show test stats in failure reports

* give names to jobs

* add lora tests

* split torch cuda tests and add compile tests

* clean up

* fix tests

* change push to run only on main

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

* [SDXL Flax] Add research folder

* Add co-author
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

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Co-authored-by: Juan Acevedo <jfacevedo@google.com>

* fix all

* make fix copies

* make fix copies

* Update Unipc einsum to support 1D and 3D diffusion.

* Add unittest

* Update unittest & edge case

* Fix unittest

* Fix testing_utils.py

* Fix unittest file

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

* Add docstring for the AutoencoderKL's encode

#5229

* Support Python 3.8 syntax in AutoencoderKL.decode type hints
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Follow the style guidelines in AutoencoderKL's encode

#5230

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

* Add docstring for the AutoencoderKL's decode

#5230

* Follow the style guidelines in AutoencoderKL's decode

#5230

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Co-authored-by: stano <>

* fix: how print training resume logs.

* propagate changes to text-to-image scripts.

* propagate changes to instructpix2pix.

* propagate changes to dreambooth

* propagate changes to custom diffusion and instructpix2pix

* propagate changes to kandinsky

* propagate changes to textual inv.

* debug

* fix: checkpointing.

* debug

* debug

* debug

* back to the square

* debug

* debug

* change condition order.

* debug

* debug

* debug

* debug

* revert to original

* clean

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

* Add VAE slicing and tiling methods.

* Switch to using VaeImageProcessing for preprocessing and postprocessing of images.

* Rename the VaeImageProcessor to vae_image_processor to avoid a name clash with the CLIPImageProcessor (image_processor).

* Remove the postprocess() function because we're using a VaeImageProcessor instead.

* Remove UniDiffuserPipeline.decode_image_latents because we're using VaeImageProcessor instead.

* Refactor generating text from text latents into a decode_text_latents method.

* Add enable_full_determinism() to UniDiffuser tests.

* make style

* Add PipelineLatentTesterMixin to UniDiffuserPipelineFastTests.

* Remove enable_model_cpu_offload since it is now part of DiffusionPipeline.

* Rename the VaeImageProcessor instance to self.image_processor for consistency with other pipelines and rename the CLIPImageProcessor instance to clip_image_processor to avoid a name clash.

* Update UniDiffuser conversion script.

* Make safe_serialization configurable in UniDiffuser conversion script.

* Rename image_processor to clip_image_processor in UniDiffuser tests.

* Add PipelineKarrasSchedulerTesterMixin to UniDiffuserPipelineFastTests.

* Add initial test for compiling the UniDiffuser model (not tested yet).

* Update encode_prompt and _encode_prompt to match that of StableDiffusionPipeline.

* Turn off standard classifier-free guidance for now.

* make style

* make fix-copies

* apply suggestions from review

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

* added docstrings in forward methods of T2IAdapter model and FullAdapter model

* added docstrings in forward methods of FullAdapterXL and AdapterBlock models

* Added docstrings in forward methods of adapter models

* [PEFT warnings] Only sure deprecation warnings in the future

* make style