* 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
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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
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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.
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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
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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
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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
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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
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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
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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>
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Co-authored-by: DN6 <dhruv.nair@gmail.com>
CogView4 Control Block (#10809)
* cogview4 control training
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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
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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>
LTX 0.9.5 (#10968)
* update
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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 316ff46b76.
* 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.
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Co-authored-by: SunMarc <marc@huggingface.co>
* MAINT Permission for GH token in stale.yml
See https://github.com/huggingface/peft/pull/2061 for the equivalent PR
in PEFT.
This restores the functionality of the stale bot after permissions for
the token have been limited. The action still shows errors for PEFT but
the bot appears to work fine.
* Also add write permissions for PRs
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
