- 28 Nov, 2025 2 commits
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Dhruv Nair authored
* update * update * update * update * Apply style fixes * update * update * update * update * update --------- Co-authored-by:github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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Ayush Sur authored
* Fix examples not loading LoRA adapter weights from checkpoint * Updated lora saving logic with accelerate save_model_hook and load_model_hook * Formatted the changes using ruff * import and upcasting changed --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 27 Nov, 2025 2 commits
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Sayak Paul authored
up
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Sayak Paul authored
remove torch.save from remnant code.
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- 26 Nov, 2025 6 commits
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Jerry Wu authored
* Add Support for Z-Image. * Reformatting with make style, black & isort. * Remove init, Modify import utils, Merge forward in transformers block, Remove once func in pipeline. * modified main model forward, freqs_cis left * refactored to add B dim * fixed stack issue * fixed modulation bug * fixed modulation bug * fix bug * remove value_from_time_aware_config * styling * Fix neg embed and devide / bug; Reuse pad zero tensor; Turn cat -> repeat; Add hint for attn processor. * Replace padding with pad_sequence; Add gradient checkpointing. * Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that. * Fix Docstring and Make Style. * Revert "Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that." This reverts commit fbf26b7ed11d55146103c97740bad4a5f91744e0. * update z-image docstring * Revert attention dispatcher * update z-image docstring * styling * Recover attention_dispatch.py with its origin impl, later would special commit for fa3 compatibility. * Fix prev bug, and support for prompt_embeds pass in args after prompt pre-encode as List of torch Tensor. * Remove einop dependency. * remove redundant imports & make fix-copies * fix import * Support for num_images_per_prompt>1; Remove redundant unquote variables. * Fix bugs for num_images_per_prompt with actual batch. * Add unit tests for Z-Image. * Refine unitest and skip for cases needed separate test env; Fix compatibility with unitest in model, mostly precision formating. * Add clean env for test_save_load_float16 separ test; Add Note; Styling. * Update dtype mentioned by yiyi. --------- Co-authored-by:liudongyang <liudongyang0114@gmail.com>
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David El Malih authored
* Improve docstrings and type hints in multiple diffusion schedulers * docs: update Imagen Video paper link to Hugging Face Papers.
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Sayak Paul authored
put autopipeline after overview and hunyuanimage in images
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Sayak Paul authored
* fix links * up
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Sayak Paul authored
* up * Update tests/lora/test_lora_layers_flux2.py Co-authored-by:
dg845 <58458699+dg845@users.noreply.github.com> --------- Co-authored-by:
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Andrei Filatov authored
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- 25 Nov, 2025 3 commits
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Sayak Paul authored
* add vae * Initial commit for Flux 2 Transformer implementation * add pipeline part * small edits to the pipeline and conversion * update conversion script * fix * up up * finish pipeline * Remove Flux IP Adapter logic for now * Remove deprecated 3D id logic * Remove ControlNet logic for now * Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block * update pipeline * Don't use biases for input projs and output AdaNorm * up * Remove bias for double stream block text QKV projections * Add script to convert Flux 2 transformer to diffusers * make style and make quality * fix a few things. * allow sft files to go. * fix image processor * fix batch * style a bit * Fix some bugs in Flux 2 transformer implementation * Fix dummy input preparation and fix some test bugs * fix dtype casting in timestep guidance module. * resolve conflicts., * remove ip adapter stuff. * Fix Flux 2 transformer consistency test * Fix bug in Flux2TransformerBlock (double stream block) * Get remaining Flux 2 transformer tests passing * make style; make quality; make fix-copies * remove stuff. * fix type annotaton. * remove unneeded stuff from tests * tests * up * up * add sf support * Remove unused IP Adapter and ControlNet logic from transformer (#9) * copied from * Apply suggestions from code review Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
apolinário <joaopaulo.passos@gmail.com> * up * up * up * up * up * Refactor Flux2Attention into separate classes for double stream and single stream attention * Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion * Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False * Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion * Address review comments * Update src/diffusers/pipelines/flux2/pipeline_flux2.py Co-authored-by:
Linoy Tsaban <linoytsaban@gmail.com> * model cpu offload in validation. * add flux.2 readme * add img2img and tests * cpu offload in log validation * Apply suggestions from code review * fix * up * fixes * remove i2i training tests for now. --------- Co-authored-by:
linoytsaban <linoy@huggingface.co> * up --------- Co-authored-by:
Daniel Gu <dgu8957@gmail.com> Co-authored-by:
yiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal> Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by:
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Jerry Wu authored
* Add Support for Z-Image. * Reformatting with make style, black & isort. * Remove init, Modify import utils, Merge forward in transformers block, Remove once func in pipeline. * modified main model forward, freqs_cis left * refactored to add B dim * fixed stack issue * fixed modulation bug * fixed modulation bug * fix bug * remove value_from_time_aware_config * styling * Fix neg embed and devide / bug; Reuse pad zero tensor; Turn cat -> repeat; Add hint for attn processor. * Replace padding with pad_sequence; Add gradient checkpointing. * Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that. * Fix Docstring and Make Style. * Revert "Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that." This reverts commit fbf26b7ed11d55146103c97740bad4a5f91744e0. * update z-image docstring * Revert attention dispatcher * update z-image docstring * styling * Recover attention_dispatch.py with its origin impl, later would special commit for fa3 compatibility. * Fix prev bug, and support for prompt_embeds pass in args after prompt pre-encode as List of torch Tensor. * Remove einop dependency. * remove redundant imports & make fix-copies * fix import --------- Co-authored-by: -
Junsong Chen authored
* fix typo in docs * Update docs/source/en/api/pipelines/sana_video.md Co-authored-by:
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- 24 Nov, 2025 5 commits
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sq authored
- Fixed variable naming typos (maskkk -> mask_fill, mask_imagee -> mask_image_fill, masked_imagee -> masked_image_fill, masked_image_latentsss -> masked_latents_fill) These changes improve code readability without affecting functionality.
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cdutr authored
* Updates Portuguese documentation for Diffusers library Enhances the Portuguese documentation with: - Restructured table of contents for improved navigation - Added placeholder page for in-translation content - Refined language and improved readability in existing pages - Introduced a new page on basic Stable Diffusion performance guidance Improves overall documentation structure and user experience for Portuguese-speaking users * Removes untranslated sections from Portuguese documentation Cleans up the Portuguese documentation table of contents by removing placeholder sections marked as "Em tradução" (In translation) Removes the in_translation.md file and associated table of contents entries for sections that are not yet translated, improving documentation clarity
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Sayak Paul authored
* up * support automatic dispatch. * disable compile support for now./ * up * flash too. * document. * up * up * up * up
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DefTruth authored
* bugfix: fix chrono-edit context parallel * bugfix: fix chrono-edit context parallel * Update src/diffusers/models/transformers/transformer_chronoedit.py Co-authored-by:
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SwayStar123 authored
Update pipeline_bria_fibo.py
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- 21 Nov, 2025 1 commit
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David El Malih authored
* Enhance type hints and docstrings in LMSDiscreteScheduler class Updated type hints for function parameters and return types to improve code clarity and maintainability. Enhanced docstrings for several methods, providing clearer descriptions of their functionality and expected arguments. Notable changes include specifying Literal types for certain parameters and ensuring consistent return type annotations across the class. * docs: Add specific paper reference to `_convert_to_karras` docstring. * Refactor `_convert_to_karras` docstring in DPMSolverSDEScheduler to include detailed descriptions and a specific paper reference, enhancing clarity and documentation consistency.
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- 19 Nov, 2025 5 commits
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Pratim Dasude authored
Community Pipeline: FluxFillControlNetInpaintPipeline for FLUX Fill-Based Inpainting with ControlNet (#12649) * new flux fill controlnet inpaint pipline * Delete src/diffusers/pipelines/flux/pipline_flux_fill_controlnet_Inpaint.py deleting from main flux pipeline * Fluc_fill_controlnet community pipline * Update README.md * Apply style fixes
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David El Malih authored
* Enhance docstrings and type hints in PNDMScheduler class - Updated parameter descriptions to include default values and specific types using Literal for better clarity. - Improved docstring formatting and consistency across methods, including detailed explanations for the `_get_prev_sample` method. - Added type hints for method return types to enhance code readability and maintainability. * Refactor docstring in PNDMScheduler class to enhance clarity - Simplified the explanation of the method for computing the previous sample from the current sample. - Updated the reference to the PNDM paper for better accessibility. - Removed redundant notation explanations to streamline the documentation.
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Dhruv Nair authored
update Co-authored-by: -
Dhruv Nair authored
update
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Sayak Paul authored
* refactor how attention kernels from hub are used. * up * refactor according to Dhruv's ideas. Co-authored-by:
Dhruv Nair <dhruv@huggingface.co> * empty Co-authored-by:
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- 18 Nov, 2025 1 commit
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Dhruv Nair authored
* update * update * update * update
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- 17 Nov, 2025 4 commits
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dg845 authored
Revert dim_mult back to list and fix type annotation
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Dhruv Nair authored
update
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Junsong Chen authored
* move sana-video to a new dir and add `SanaImageToVideoPipeline` with no modify; * fix bug and run text/image-to-vidoe success; * make style; quality; fix-copies; * add sana image-to-video pipeline in markdown; * add test case for sana image-to-video; * make style; * add a init file in sana-video test dir; * Update src/diffusers/pipelines/sana_video/pipeline_sana_video_i2v.py Co-authored-by:
Yuyang Zhao <43061147+HeliosZhao@users.noreply.github.com> * Update src/diffusers/pipelines/sana_video/pipeline_sana_video_i2v.py Co-authored-by:
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David Bertoin authored
add 1024 ratio bins
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- 15 Nov, 2025 2 commits
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David Bertoin authored
rope in float32
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dg845 authored
* Update the Wan Animate docs to reflect the most recent code * Further explain input preprocessing and link to original Wan Animate preprocessing scripts
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- 14 Nov, 2025 2 commits
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David El Malih authored
* refactor: enhance type hints and documentation in EulerDiscreteScheduler Updated type hints for function parameters and return types in the EulerDiscreteScheduler class to improve code clarity and maintainability. Enhanced docstrings for several methods to provide clearer descriptions of their functionality and expected arguments. This includes specifying Literal types for certain parameters and ensuring consistent return type annotations across the class. * refactor: enhance type hints and documentation across multiple schedulers Updated type hints and improved docstrings in various scheduler classes, including CMStochasticIterativeScheduler, CosineDPMSolverMultistepScheduler, and others. This includes specifying parameter types, return types, and providing clearer descriptions of method functionalities. Notable changes include the addition of default values in the begin_index argument and enhanced explanations for noise addition methods. These improvements aim to enhance code clarity and maintainability across the scheduling module. * refactor: update docstrings to clarify noise schedule construction Revised docstrings across multiple scheduler classes to enhance clarity regarding the construction of noise schedules. Updated references to relevant papers, ensuring accurate citations for the methodologies used. This includes changes in DEISMultistepScheduler, DPMSolverMultistepInverseScheduler, and others, improving documentation consistency and readability.
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Dhruv Nair authored
* update * update * Update docs/source/en/modular_diffusers/custom_blocks.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/custom_blocks.md Co-authored-by:
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- 13 Nov, 2025 7 commits
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David El Malih authored
* Enhance type hints and docstrings in scheduling_ddpm.py - Added type hints for function parameters and return types across the DDPMScheduler class and related functions. - Improved docstrings for clarity, including detailed descriptions of parameters and return values. - Updated the alpha_transform_type and beta_schedule parameters to use Literal types for better type safety. - Refined the _get_variance and previous_timestep methods with comprehensive documentation. * Refactor docstrings and type hints in scheduling_ddpm.py - Cleaned up whitespace in the rescale_zero_terminal_snr function. - Enhanced the variance_type parameter in the DDPMScheduler class with improved formatting for better readability. - Updated the docstring for the compute_variance method to maintain consistency and clarity in parameter descriptions and return values. * Apply `make fix-copies` * Refactor type hints across multiple scheduler files - Updated type hints to include `Literal` for improved type safety in various scheduling files. - Ensured consistency in type hinting for parameters and return types across the affected modules. - This change enhances code clarity and maintainability.
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David El Malih authored
* Improve docstrings and type hints in scheduling_ddim.py - Add complete type hints for all function parameters - Enhance docstrings to follow project conventions - Add missing parameter descriptions Fixes #9567 * Enhance docstrings and type hints in scheduling_ddim.py - Update parameter types and descriptions for clarity - Improve explanations in method docstrings to align with project standards - Add optional annotations for parameters where applicable * Refine type hints and docstrings in scheduling_ddim.py - Update parameter types to use Literal for specific string options - Enhance docstring descriptions for clarity and consistency - Ensure all parameters have appropriate type annotations and defaults * Apply review feedback on scheduling_ddim.py - Replace "prevent singularities" with "avoid numerical instability" for better clarity - Add backticks around `alpha_bar` variable name for consistent formatting - Convert Imagen Video paper URLs to Hugging Face papers references * Propagate changes using 'make fix-copies' * Add missing Literal
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Steven Liu authored
* automodel * fix
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Steven Liu authored
update Co-authored-by: -
Sayak Paul authored
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kaixuanliu authored
* adjust unit tests for wan pipeline Signed-off-by:
Liu, Kaixuan <kaixuan.liu@intel.com> * update code Signed-off-by:
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dg845 authored
--------- Co-authored-by:
Tolga Cangöz <mtcangoz@gmail.com> Co-authored-by:
Tolga Cangöz <46008593+tolgacangoz@users.noreply.github.com>
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