GitLab

* test permission

* Add cross attention type for Sana-Sprint.

* Add Sana-Sprint training script in diffusers.

* make style && make quality;

* modify the attention processor with `set_attn_processor` and change `SanaAttnProcessor3_0` to `SanaVanillaAttnProcessor`

* Add import for SanaVanillaAttnProcessor

* Add README file.

* Apply suggestions from code review

* style

* Update examples/research_projects/sana/README.md

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Co-authored-by: lawrence-cj <cjs1020440147@icloud.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add lora_alpha and lora_dropout

* Apply style fixes

* add lora_alpha and lora_dropout

* Apply style fixes

* revert lora_alpha until #11324 is merged

* Apply style fixes

* empty commit

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

This reverts commit 87e508f1.

up

* begin transformer conversion

* refactor

* refactor

* refactor

* refactor

* refactor

* refactor

* update

* add conversion script

* add pipeline

* make fix-copies

* remove einops

* update docs

* gradient checkpointing

* add transformer test

* update

* debug

* remove prints

* match sigmas

* add vae pt. 1

* finish CV* vae

* update

* update

* update

* update

* update

* update

* make fix-copies

* update

* make fix-copies

* fix

* update

* update

* make fix-copies

* update

* update tests

* handle device and dtype for safety checker; required in latest diffusers

* remove enable_gqa and use repeat_interleave instead

* enforce safety checker; use dummy checker in fast tests

* add review suggestion for ONNX export
Co-Authored-By: Asfiya Baig <asfiyab@nvidia.com>

* fix safety_checker issues when not passed explicitly

We could either do what's done in this commit, or update the Cosmos examples to explicitly pass the safety checker

* use cosmos guardrail package

* auto format docs

* update conversion script to support 14B models

* update name CosmosPipeline -> CosmosTextToWorldPipeline

* update docs

* fix docs

* fix group offload test failing for vae

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Co-authored-by: Asfiya Baig <asfiyab@nvidia.com>

* minor updates to bitsandbytes docs.

* Apply suggestions from code review

[lora_conversion] Enhance key handling for OneTrainer components in LORA conversion utility (#11441) (#11487)

* [lora_conversion] Enhance key handling for OneTrainer components in LORA conversion utility (#11441)

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

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

* enable lora cases on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* remove hunyuanvideo xpu expectation
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* add transformer

* add pipeline

* fixes

* make fix-copies

* update

* add flux mu shift

* update example snippet

* debug

* cleanup

* batch_size=1 optimization

* add pipeline test

* fix for model cpu offloading'

* add last_image support; credits: https://github.com/lllyasviel/FramePack/pull/167

* update example with flf2v

* update penguin url

* fix test

* address review comment: https://github.com/huggingface/diffusers/pull/11428#discussion_r2071032371

* address review comment: https://github.com/huggingface/diffusers/pull/11428#discussion_r2071087689



* Update src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_framepack.py

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* use removeprefix to preserve sanity.

* f-string.

* update dep table.

* fix

update

* Update training script for txt to img sdxl with lora supp with new interpolation.

* ran make style and make quality.

* Set LANCZOS as the default interpolation method for image resizing.

* style: run make style and quality checks

* feat: enable quantization for hidream lora training.

* better handle compute dtype.

* finalize.

* fix dtype.

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

[train_dreambooth_lora_lumina2] Add LANCZOS as the default interpolation mode for image resizing (#11491)

[ADD] interpolation

[train_dreambooth_lora_sdxl] Add --image_interpolation_mode option for image resizing (default to lanczos) (#11490)

feat(train_dreambooth_lora_sdxl): support --image_interpolation_mode with default to lanczos

* Add LANCZOS as default interplotation mode.

* update script

* Update as per code review.

* make style.

* implement tiled encode/decode

* address review comments

Signed-off-by: Yao Matrix <matrix.yao@intel.com>

[train_dreambooth_lora_flux_advanced] Add LANCZOS as the default interpolation mode for image resizing (#11472)

* [train_controlnet_sdxl] Add LANCZOS as the default interpolation mode for image resizing

* [train_dreambooth_lora_flux_advanced] Add LANCZOS as the default interpolation mode for image resizing

[train_dreambooth_lora_sdxl_advanced] Add LANCZOS as the default interpolation mode for image resizing (#11471)

* refactor adapter docs

* ip-adapter

* ip adapter

* fix toctree

* fix toctree

* lora

* images

* controlnet

* feedback

* controlnet

* t2i

* fix typo

* feedback

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

* reformat

* initial

* fin

* review

* inference

* feedback

* feedback

* feedback

* cache packages_distributions

* remove unused exception reference

* make style
Signed-off-by: Vladimir Mandic <mandic00@live.com>

* change name to _package_map

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
Co-authored-by: DN6 <dhruv.nair@gmail.com>

xfail recent pipeline tests for specific methods.

* Fix typos in docs and comments

* Apply style fixes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* [tests] Add torch.compile() test for WanTransformer3DModel

* fix wan recompilation issues.

* style

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Co-authored-by: tongyu0924 <winnie920924@gmail.com>

* make autoencoders. controlnet_flux and wan_transformer3d_single_file
pass on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* Apply style fixes

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* Add LANCZOS as default interplotation mode.

* LANCZOS as default interplotation

* LANCZOS as default interplotation mode

* Added LANCZOS as default interplotation mode

* Update test_models_transformer_hunyuan_video.py

* update

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

* make safe diffusion test cases pass on XPU and A100
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* calibrate A100 expected values
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* upload StableDiffusion3InstructPix2PixPipeline

* Move to community

* Add readme

* Fix images

* remove images

* Change image url

* fix

* Apply style fixes

* Add generic support for Intel Gaudi accelerator (hpu device)
Signed-off-by: Daniel Socek <daniel.socek@intel.com>
Co-authored-by: Libin Tang <libin.tang@intel.com>

* Add loggers for generic HPU support
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Refactor hpu support with is_hpu_available() logic
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Fix style for hpu support update
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Decouple soft HPU check from hard device validation to support HPU migration
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

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Signed-off-by: Daniel Socek <daniel.socek@intel.com>
Co-authored-by: Libin Tang <libin.tang@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* enable unidiffuser cases on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* fix a typo
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>

Signed-off-by: Yao Matrix <matrix.yao@intel.com>

udpate

Signed-off-by: Yao Matrix <matrix.yao@intel.com>