- 01 Dec, 2025 1 commit
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David El Malih authored
docs: Update Imagen Video paper link in scheduler docstrings.
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- 14 Nov, 2025 1 commit
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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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- 13 Nov, 2025 2 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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- 19 Jun, 2025 1 commit
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Aryan authored
update
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- 19 May, 2025 1 commit
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Quentin Gallouédec authored
* Use HF Papers * Apply style fixes --------- Co-authored-by:github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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- 09 Apr, 2025 1 commit
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Dhruv Nair authored
* update * update * update * update
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- 03 Dec, 2024 1 commit
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Anand Kumar authored
[Bug fix] "previous_timestep()" in DDPM scheduling compatible with "trailing" and "linspace" options (#9384) * Update scheduling_ddpm.py * fix copies --------- Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
hlky <hlky@hlky.ac>
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- 15 Oct, 2024 1 commit
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hlky authored
Co-authored-by:
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- 08 Jul, 2024 1 commit
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Zhuoqun(Jack) Chen authored
* Fix static typing and doc typos * Fix more same type hint typos with make fix-copies
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- 24 May, 2024 1 commit
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Tolga Cangöz authored
Fix grammatical error
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- 10 May, 2024 1 commit
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Mark Van Aken authored
* find & replace all FloatTensors to Tensor * apply formatting * Update torch.FloatTensor to torch.Tensor in the remaining files * formatting * Fix the rest of the places where FloatTensor is used as well as in documentation * formatting * Update new file from FloatTensor to Tensor
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- 18 Mar, 2024 1 commit
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M. Tolga Cangöz authored
* Fix PyTorch's convention for inplace functions * Fix import structure in __init__.py and update config loading logic in test_config.py * Update configuration access * Fix typos * Trim trailing white spaces * Fix typo in logger name * Revert "Fix PyTorch's convention for inplace functions" This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d. * Fix typo in step_index property description * Revert "Update configuration access" This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8. * Revert "Fix import structure in __init__.py and update config loading logic in test_config.py" This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171. * Fix typos * Fix typos * Fix typos * Fix a typo: tranform -> transform
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- 14 Mar, 2024 1 commit
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Beinsezii authored
* Change step_offset scheduler docstrings * Mention it may be needed by some models * More docstrings These ones failed literal S&R because I performed it case-sensitive which is fun. --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 08 Feb, 2024 1 commit
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Sayak Paul authored
change to 2024
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- 30 Jan, 2024 1 commit
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Yunxuan Xiao authored
* load cumprod tensor to device Signed-off-by:
woshiyyya <xiaoyunxuan1998@gmail.com> * fixing ci Signed-off-by:
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- 26 Dec, 2023 1 commit
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dg845 authored
* Add rescale_betas_zero_snr argument to DDPMScheduler. * Propagate rescale_betas_zero_snr changes to DDPMParallelScheduler. --------- Co-authored-by:
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- 20 Nov, 2023 1 commit
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Kashif Rasul authored
* ruff format * not need to use doc-builder's black styling as the doc is styled in ruff * make fix-copies * comment * use run_ruff
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- 03 Oct, 2023 1 commit
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Patrick von Platen authored
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- 11 Sep, 2023 1 commit
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Dhruv Nair authored
* initial commit * move modules to import struct * add dummy objects and _LazyModule * add lazy import to schedulers * clean up unused imports * lazy import on models module * lazy import for schedulers module * add lazy import to pipelines module * lazy import altdiffusion * lazy import audio diffusion * lazy import audioldm * lazy import consistency model * lazy import controlnet * lazy import dance diffusion ddim ddpm * lazy import deepfloyd * lazy import kandinksy * lazy imports * lazy import semantic diffusion * lazy imports * lazy import stable diffusion * move sd output to its own module * clean up * lazy import t2iadapter * lazy import unclip * lazy import versatile and vq diffsuion * lazy import vq diffusion * helper to fetch objects from modules * lazy import sdxl * lazy import txt2vid * lazy import stochastic karras * fix model imports * fix bug * lazy import * clean up * clean up * fixes for tests * fixes for tests * clean up * remove import of torch_utils from utils module * clean up * clean up * fix mistake import statement * dedicated modules for exporting and loading * remove testing utils from utils module * fixes from merge conflicts * Update src/diffusers/pipelines/kandinsky2_2/__init__.py * fix docs * fix alt diffusion copied from * fix check dummies * fix more docs * remove accelerate import from utils module * add type checking * make style * fix check dummies * remove torch import from xformers check * clean up error message * fixes after upstream merges * dummy objects fix * fix tests * remove unused module import --------- Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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- 09 Aug, 2023 1 commit
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Steven Liu authored
* clean scheduler mixin * up to dpmsolvermultistep * finish cleaning * first draft * fix overview table * apply feedback * update reference code
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- 06 Jul, 2023 1 commit
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YiYi Xu authored
* refactor prior_transformer adding conversion script add pipeline add step_index from pipeline, + remove permute add zero pad token remove copy from statement for betas_for_alpha_bar function * add * add * update conversion script for renderer model * refactor camera a little bit * clean up * style * fix copies * Update src/diffusers/schedulers/scheduling_heun_discrete.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
yiyixuxu <yixu310@gmail,com> Co-authored-by:
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- 05 Jul, 2023 1 commit
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Pedro Cuenca authored
* Add timestep_spacing to DDPM, LMSDiscrete, PNDM. * Remove spurious line. * More easy schedulers. * Add `linspace` to DDIM * Noise sigma for `trailing`. * Add timestep_spacing to DEISMultistepScheduler. Not sure the range is the way it was intended. * Fix: remove line used to debug. * Support timestep_spacing in DPMSolverMultistep, DPMSolverSDE, UniPC * Fix: convert to numpy. * Use sched. defaults when instantiating from_config For params not present in the original configuration. This makes it possible to switch pipeline schedulers even if they use different timestep_spacing (or any other param). * Apply suggestions from code review Co-authored-by:
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- 20 Jun, 2023 1 commit
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Andy Shih authored
* add paradigms parallel sampling pipeline * linting * ran make fix-copies * add paradigms parallel sampling pipeline * linting * ran make fix-copies * Apply suggestions from code review Co-authored-by:
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- 12 May, 2023 1 commit
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Laureηt authored
* Add `sigmoid` beta scheduler to `DDPMScheduler` docstring * Add `sigmoid` beta scheduler to `RePaintScheduler` docstring --------- Co-authored-by:
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- 17 Apr, 2023 1 commit
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Patrick von Platen authored
* Better deprecation message * Better deprecation message * Better doc string * Fixes * fix more * fix more * Improve __getattr__ * correct more * fix more * fix * Improve more * more improvements * fix more * Apply suggestions from code review Co-authored-by:
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- 14 Apr, 2023 1 commit
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Will Berman authored
add custom timesteps test add custom timesteps descending order check docs timesteps -> custom_timesteps can only pass one of num_inference_steps and timesteps
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- 11 Apr, 2023 1 commit
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Patrick von Platen authored
* [Config] Fix config prints and save, load * Only use potential nn.Modules for dtype and device * Correct vae image processor * make sure in_channels is not accessed directly * make sure in channels is only accessed via config * Make sure schedulers only access config attributes * Make sure to access config in SAG * Fix vae processor and make style * add tests * uP * make style * Fix more naming issues * Final fix with vae config * change more
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- 10 Apr, 2023 5 commits
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William Berman authored
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William Berman authored
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William Berman authored
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William Berman authored
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Will Berman authored
dynamic threshold sampling bug fix and docs
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- 07 Mar, 2023 1 commit
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clarencechen authored
* Improve dynamic threshold * Update code * Add dynamic threshold to ddim and ddpm * Encapsulate and leverage code copy mechanism Update style * Clean up DDPM/DDIM constructor arguments * add test * also add to unipc --------- Co-authored-by:
Peter Lin <peterlin9863@gmail.com> Co-authored-by:
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- 01 Mar, 2023 1 commit
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Patrick von Platen authored
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- 14 Feb, 2023 1 commit
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Will Berman authored
* pipeline_variant * Add docs for when clip_stats_path is specified * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py Co-authored-by:
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- 03 Feb, 2023 1 commit
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Dudu Moshe authored
scheduling_ddpm: fix variance in the case of learned_range type. In the case of learned_range variance type, there are missing logs and exponent comparing to the theory (see "Improved Denoising Diffusion Probabilistic Models" section 3.1 equation 15: https://arxiv.org/pdf/2102.09672.pdf).
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- 31 Jan, 2023 1 commit
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Dudu Moshe authored
scheduling_ddpm: fix evaluate with lower timesteps count than train. Co-authored-by:
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- 25 Jan, 2023 1 commit
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Patrick von Platen authored
* [Bump version] 0.13 * Bump model up * up
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- 17 Jan, 2023 1 commit
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Kashif Rasul authored
* added dit model * import * initial pipeline * initial convert script * initial pipeline * make style * raise valueerror * single function * rename classes * use DDIMScheduler * timesteps embedder * samples to cpu * fix var names * fix numpy type * use timesteps class for proj * fix typo * fix arg name * flip_sin_to_cos and better var names * fix C shape cal * make style * remove unused imports * cleanup * add back patch_size * initial dit doc * typo * Update docs/source/api/pipelines/dit.mdx Co-authored-by:
Suraj Patil <surajp815@gmail.com> * added copyright license headers * added example usage and toc * fix variable names asserts * remove comment * added docs * fix typo * upstream changes * set proper device for drop_ids * added initial dit pipeline test * update docs * fix imports * make fix-copies * isort * fix imports * get rid of more magic numbers * fix code when guidance is off * remove block_kwargs * cleanup script * removed to_2tuple * use FeedForward class instead of another MLP * style * work on mergint DiTBlock with BasicTransformerBlock * added missing final_dropout and args to BasicTransformerBlock * use norm from block * fix arg * remove unused arg * fix call to class_embedder * use timesteps * make style * attn_output gets multiplied * removed commented code * use Transformer2D * use self.is_input_patches * fix flags * fixed conversion to use Transformer2DModel * fixes for pipeline * remove dit.py * fix timesteps device * use randn_tensor and fix fp16 inf. * timesteps_emb already the right dtype * fix dit test class * fix test and style * fix norm2 usage in vq-diffusion * added author names to pipeline and lmagenet labels link * fix tests * use norm_type as string * rename dit to transformer * fix name * fix test * set norm_type = "layer" by default * fix tests * do not skip common tests * Update src/diffusers/models/attention.py Co-authored-by:
William Berman <WLBberman@gmail.com> Co-authored-by:
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