GitLab

* [gguf] Refactor __torch_function__ to avoid unnecessary computation

This helps with torch.compile compilation lantency. Avoiding unnecessary
computation should also lead to a slightly improved eager latency.

* Apply style fixes

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

* update

* update

* update

* update

* update

* update

* update

* Update pipeline_flux_img2img.py

Adds missing vae_slicing and vae_tiling calls to FluxImage2ImagePipeline

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

---------
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* add upsampling pipeline

* ltx upsample pipeline conversion; pipeline fixes

* make fix-copies

* remove print

* add vae convenience methods

* update

* add tests

* support denoising strength for upscaling & video-to-video

* update docs

* update doc checkpoints

* update docs

* fix

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

init

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

* VisualCloze

* style quality

* add docs

* add docs

* typo

* Update docs/source/en/api/pipelines/visualcloze.md

* delete einops

* style quality

* Update src/diffusers/pipelines/visualcloze/pipeline_visualcloze.py

* reorg

* refine doc

* style quality

* typo

* typo

* Update src/diffusers/image_processor.py

* add comment

* test

* style

* Modified based on review

* style

* restore image_processor

* update example url

* style

* fix-copies

* VisualClozeGenerationPipeline

* combine

* tests docs

* remove VisualClozeUpsamplingPipeline

* style

* quality

* test examples

* quality style

* typo

* make fix-copies

* fix test_callback_cfg and test_save_load_dduf in VisualClozePipelineFastTests

* add EXAMPLE_DOC_STRING to VisualClozeGenerationPipeline

* delete maybe_free_model_hooks from pipeline_visualcloze_combined

* Apply suggestions from code review

* fix test_save_load_local test; add reason for skipping cfg test

* more save_load test fixes

* fix tests in generation pipeline tests

* support framepack f1

* update docs

* update toctree

* remove typo

* start.

* add tests for framepack transformer model.

* merge conflicts.

* make to square.

* fixes

update

fix: update latents dtype to match vae

* support non-diffusers hidream loras

* make fix-copies

* feat: pipeline-level quant config.
Co-authored-by: SunMarc <marc.sun@hotmail.fr>

condition better.

support mapping.

improvements.

[Quantization] Add Quanto backend (#10756)

* update

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/quantization/quanto.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* update

* update

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

[Single File] Add single file loading for SANA Transformer (#10947)

* added support for from_single_file

* added diffusers mapping script

* added testcase

* bug fix

* updated tests

* corrected code quality

* corrected code quality

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

[LoRA] Improve warning messages when LoRA loading becomes a no-op (#10187)

* updates

* updates

* updates

* updates

* notebooks revert

* fix-copies.

* seeing

* fix

* revert

* fixes

* fixes

* fixes

* remove print

* fix

* conflicts ii.

* updates

* fixes

* better filtering of prefix.

---------
Co-authored-by: hlky <hlky@hlky.ac>

[LoRA] CogView4 (#10981)

* update

* make fix-copies

* update

[Tests] improve quantization tests by additionally measuring the inference memory savings (#11021)

* memory usage tests

* fixes

* gguf

[`Research Project`] Add AnyText: Multilingual Visual Text Generation And Editing (#8998)

* Add initial template

* Second template

* feat: Add TextEmbeddingModule to AnyTextPipeline

* feat: Add AuxiliaryLatentModule template to AnyTextPipeline

* Add bert tokenizer from the anytext repo for now

* feat: Update AnyTextPipeline's modify_prompt method

This commit adds improvements to the modify_prompt method in the AnyTextPipeline class. The method now handles special characters and replaces selected string prompts with a placeholder. Additionally, it includes a check for Chinese text and translation using the trans_pipe.

* Fill in the `forward` pass of `AuxiliaryLatentModule`

* `make style && make quality`

* `chore: Update bert_tokenizer.py with a TODO comment suggesting the use of the transformers library`

* Update error handling to raise and logging

* Add `create_glyph_lines` function into `TextEmbeddingModule`

* make style

* Up

* Up

* Up

* Up

* Remove several comments

* refactor: Remove ControlNetConditioningEmbedding and update code accordingly

* Up

* Up

* up

* refactor: Update AnyTextPipeline to include new optional parameters

* up

* feat: Add OCR model and its components

* chore: Update `TextEmbeddingModule` to include OCR model components and dependencies

* chore: Update `AuxiliaryLatentModule` to include VAE model and its dependencies for masked image in the editing task

* `make style`

* refactor: Update `AnyTextPipeline`'s docstring

* Update `AuxiliaryLatentModule` to include info dictionary so that text processing is done once

* simplify

* `make style`

* Converting `TextEmbeddingModule` to ordinary `encode_prompt()` function

* Simplify for now

* `make style`

* Up

* feat: Add scripts to convert AnyText controlnet to diffusers

* `make style`

* Fix: Move glyph rendering to `TextEmbeddingModule` from `AuxiliaryLatentModule`

* make style

* Up

* Simplify

* Up

* feat: Add safetensors module for loading model file

* Fix device issues

* Up

* Up

* refactor: Simplify

* refactor: Simplify code for loading models and handling data types

* `make style`

* refactor: Update to() method in FrozenCLIPEmbedderT3 and TextEmbeddingModule

* refactor: Update dtype in embedding_manager.py to match proj.weight

* Up

* Add attribution and adaptation information to pipeline_anytext.py

* Update usage example

* Will refactor `controlnet_cond_embedding` initialization

* Add `AnyTextControlNetConditioningEmbedding` template

* Refactor organization

* style

* style

* Move custom blocks from `AuxiliaryLatentModule` to `AnyTextControlNetConditioningEmbedding`

* Follow one-file policy

* style

* [Docs] Update README and pipeline_anytext.py to use AnyTextControlNetModel

* [Docs] Update import statement for AnyTextControlNetModel in pipeline_anytext.py

* [Fix] Update import path for ControlNetModel, ControlNetOutput in anytext_controlnet.py

* Refactor AnyTextControlNet to use configurable conditioning embedding channels

* Complete control net conditioning embedding in AnyTextControlNetModel

* up

* [FIX] Ensure embeddings use correct device in AnyTextControlNetModel

* up

* up

* style

* [UPDATE] Revise README and example code for AnyTextPipeline integration with DiffusionPipeline

* [UPDATE] Update example code in anytext.py to use correct font file and improve clarity

* down

* [UPDATE] Refactor BasicTokenizer usage to a new Checker class for text processing

* update pillow

* [UPDATE] Remove commented-out code and unnecessary docstring in anytext.py and anytext_controlnet.py for improved clarity

* [REMOVE] Delete frozen_clip_embedder_t3.py as it is in the anytext.py file

* [UPDATE] Replace edict with dict for configuration in anytext.py and RecModel.py for consistency

* 🆙



* style

* [UPDATE] Revise README.md for clarity, remove unused imports in anytext.py, and add author credits in anytext_controlnet.py

* style

* Update examples/research_projects/anytext/README.md
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Remove commented-out image preparation code in AnyTextPipeline

* Remove unnecessary blank line in README.md

[Quantization] Allow loading TorchAO serialized Tensor objects with torch>=2.6  (#11018)

* update

* update

* update

* update

* update

* update

* update

* update

* update

fix: mixture tiling sdxl pipeline - adjust gerating time_ids & embeddings  (#11012)

small fix on generating time_ids & embeddings

[LoRA] support wan i2v loras from the world. (#11025)

* support wan i2v loras from the world.

* remove copied from.

* upates

* add lora.

Fix SD3 IPAdapter feature extractor (#11027)

chore: fix help messages in advanced diffusion examples (#10923)

Fix missing **kwargs in lora_pipeline.py (#11011)

* Update lora_pipeline.py

* Apply style fixes

* fix-copies

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

Fix for multi-GPU WAN inference (#10997)

Ensure that hidden_state and shift/scale are on the same device when running with multiple GPUs

Co-authored-by: Jimmy <39@🇺🇸.com>

[Refactor] Clean up import utils boilerplate (#11026)

* update

* update

* update

Use `output_size` in `repeat_interleave` (#11030)

[hybrid inference 🍯🐝] Add VAE encode (#11017)

* [hybrid inference 🍯🐝

] Add VAE encode

* _toctree: add vae encode

* Add endpoints, tests

* vae_encode docs

* vae encode benchmarks

* api reference

* changelog

* Update docs/source/en/hybrid_inference/overview.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

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

Wan Pipeline scaling fix, type hint warning, multi generator fix (#11007)

* Wan Pipeline scaling fix, type hint warning, multi generator fix

* Apply suggestions from code review

[LoRA] change to warning from info when notifying the users about a LoRA no-op (#11044)

* move to warning.

* test related changes.

Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline (#10827)

* Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline

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

making ```formatted_images``` initialization compact (#10801)

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

Fix aclnnRepeatInterleaveIntWithDim error on NPU for get_1d_rotary_pos_embed (#10820)

* get_1d_rotary_pos_embed support npu

* Update src/diffusers/models/embeddings.py

---------
Co-authored-by: Kai zheng <kaizheng@KaideMacBook-Pro.local>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

[Tests] restrict memory tests for quanto for certain schemes. (#11052)

* restrict memory tests for quanto for certain schemes.

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fixes

* style

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

[LoRA] feat: support non-diffusers wan t2v loras. (#11059)

feat: support non-diffusers wan t2v loras.

[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training
Co-authored-by: Andreas Jörg <andreasjoerg@MacBook-Pro-von-Andreas-2.fritz.box>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

reverts accidental change that removes attn_mask in attn. Improves fl… (#11065)

reverts accidental change that removes attn_mask in attn. Improves flux ptxla by using flash block sizes. Moves encoding outside the for loop.
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Fix deterministic issue when getting pipeline dtype and device (#10696)
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

[Tests] add requires peft decorator. (#11037)

* add requires peft decorator.

* install peft conditionally.

* conditional deps.
Co-authored-by: DN6 <dhruv.nair@gmail.com>

---------
Co-authored-by: DN6 <dhruv.nair@gmail.com>

CogView4 Control Block (#10809)

* cogview4 control training

---------
Co-authored-by: OleehyO <leehy0357@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

[CI] pin transformers version for benchmarking. (#11067)

pin transformers version for benchmarking.

updates

Fix Wan I2V Quality (#11087)

* fix_wan_i2v_quality

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update pipeline_wan_i2v.py

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

LTX 0.9.5 (#10968)

* update

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

make PR GPU tests conditioned on styling. (#11099)

Group offloading improvements (#11094)

update

Fix pipeline_flux_controlnet.py (#11095)

* Fix pipeline_flux_controlnet.py

* Fix style

update readme instructions. (#11096)
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

Resolve stride mismatch in UNet's ResNet to support Torch DDP (#11098)

Modify UNet's ResNet implementation to resolve stride mismatch in Torch's DDP

Fix Group offloading behaviour when using streams (#11097)

* update

* update

Quality options in `export_to_video` (#11090)

* Quality options in `export_to_video`

* make style

improve more.

add placeholders for docstrings.

formatting.

smol fix.

solidify validation and annotation

* Revert "feat: pipeline-level quant config."

This reverts commit 316ff46b7648bfa24525ac02c284afcf440404aa.

* feat: implement pipeline-level quantization config
Co-authored-by: SunMarc <marc@huggingface.co>

* update

* fixes

* fix validation.

* add tests and other improvements.

* add tests

* import quality

* remove prints.

* add docs.

* fixes to docs.

* doc fixes.

* doc fixes.

* add validation to the input quantization_config.

* clarify recommendations.

* docs

* add to ci.

* todo.

---------
Co-authored-by: SunMarc <marc@huggingface.co>

fix audioldm2 for transformers main.

fix

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

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

[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>

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

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

* use removeprefix to preserve sanity.

* f-string.

* update dep table.

* fix

* feat: enable quantization for hidream lora training.

* better handle compute dtype.

* finalize.

* fix dtype.

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

* implement tiled encode/decode

* address review comments

* cache packages_distributions

* remove unused exception reference

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

* change name to _package_map

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

* Fix typos in docs and comments

* Apply style fixes

---------
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

---------
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

---------
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 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>

---------
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>

udpate

raise warning instead of error

* Fixing missing provider options argument

* Adding if else for provider options

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Apply style fixes

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

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

---------
Co-authored-by: Uros Petkovic <urpektov@amd.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* enable gguf test cases on XPU
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* make SD35LargeGGUFSingleFileTests::test_pipeline_inference pas
Signed-off-by: root <root@a4bf01945cfe.jf.intel.com>

* make FluxControlLoRAGGUFTests::test_lora_loading pass
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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

* Apply style fixes

---------
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Signed-off-by: root <root@a4bf01945cfe.jf.intel.com>
Signed-off-by: Yao Matrix <matrix.yao@intel.com>
Co-authored-by: root <root@a4bf01945cfe.jf.intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

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

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

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

update

* Kolors additional pipelines, community contrib

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

update

* fix

* add tests

* add message check