* 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.
* 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
* Improve docstrings and type hints in scheduling_amused.py
- Add complete type hints for helper functions (gumbel_noise, mask_by_random_topk)
- Enhance AmusedSchedulerOutput with proper Optional typing
- Add comprehensive docstrings for AmusedScheduler class
- Improve __init__, set_timesteps, step, and add_noise methods
- Fix type hints to match documentation conventions
- All changes follow project standards from issue #9567
* Enhance type hints and docstrings in scheduling_amused.py
- Update type hints for `prev_sample` and `pred_original_sample` in `AmusedSchedulerOutput` to reflect their tensor types.
- Improve docstring for `gumbel_noise` to specify the output tensor's dtype and device.
- Refine `AmusedScheduler` class documentation, including detailed descriptions of the masking schedule and temperature parameters.
- Adjust type hints in `set_timesteps` and `step` methods for better clarity and consistency.
* Apply review feedback on scheduling_amused.py
- Replace generic [Amused] reference with specific [`AmusedPipeline`] reference for consistency with project documentation conventions
* add tests for qwenimage modular.
* qwenimage edit.
* qwenimage edit plus.
* empty
* align with the latest structure
* up
* up
* reason
* up
* fix multiple issues.
* up
* up
* fix
* up
* make it similar to the original pipeline.
* Fix rotary positional embedding dimension mismatch in Wan and SkyReels V2 transformers
- Store t_dim, h_dim, w_dim as instance variables in WanRotaryPosEmbed and SkyReelsV2RotaryPosEmbed __init__
- Use stored dimensions in forward() instead of recalculating with different formula
- Fixes inconsistency between init (using // 6) and forward (using // 3)
- Ensures split_sizes matches the dimensions used to create rotary embeddings
* quality fix
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Co-authored-by: Charchit Sharma <charchitsharma@A-267.local>
* Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples
* Apply style fixes
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
The function load_model_dict_into_meta was moved from modeling_utils.py to
model_loading_utils.py but the imports in the conversion scripts were not
updated, causing ImportError when running these scripts.
This fixes the import in 6 conversion scripts:
- scripts/convert_sd3_to_diffusers.py
- scripts/convert_stable_cascade_lite.py
- scripts/convert_stable_cascade.py
- scripts/convert_stable_audio.py
- scripts/convert_sana_to_diffusers.py
- scripts/convert_sana_controlnet_to_diffusers.py
Fixes#12606
* Fix overflow in rgblike_to_depthmap by safe dtype casting (torch & NumPy)
* Fix: store original dtype and cast back after safe computation
* Apply style fixes
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* Changing the way we infer dtype to avoid force evaluation of lazy tensors
* changing way to infer dtype to ensure type consistency
* more robust infering of dtype
* removing the upscale dtype entirely
* Bria FIBO pipeline
* style fixs
* fix CR
* Refactor BriaFibo classes and update pipeline parameters
- Updated BriaFiboAttnProcessor and BriaFiboAttention classes to reflect changes from Flux equivalents.
- Modified the _unpack_latents method in BriaFiboPipeline to improve clarity.
- Increased the default max_sequence_length to 3000 and added a new optional parameter do_patching.
- Cleaned up test_pipeline_bria_fibo.py by removing unused imports and skipping unsupported tests.
* edit the docs of FIBO
* Remove unused BriaFibo imports and update CPU offload method in BriaFiboPipeline
* Refactor FIBO classes to BriaFibo naming convention
- Updated class names from FIBO to BriaFibo for consistency across the module.
- Modified instances of FIBOEmbedND, FIBOTimesteps, TextProjection, and TimestepProjEmbeddings to reflect the new naming.
- Ensured all references in the BriaFiboTransformer2DModel are updated accordingly.
* Add BriaFiboTransformer2DModel import to transformers module
* Remove unused BriaFibo imports from modular pipelines and add BriaFiboTransformer2DModel and BriaFiboPipeline classes to dummy objects for enhanced compatibility with torch and transformers.
* Update BriaFibo classes with copied documentation and fix import typo in pipeline module
- Added documentation comments indicating the source of copied code in BriaFiboTransformerBlock and _pack_latents methods.
- Corrected the import statement for BriaFiboPipeline in the pipelines module.
* Remove unused BriaFibo imports from __init__.py to streamline modular pipelines.
* Refactor documentation comments in BriaFibo classes to indicate inspiration from existing implementations
- Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to reflect that the code is inspired by other modules rather than copied.
- Enhanced clarity on the origins of the methods to maintain proper attribution.
* change Inspired by to Based on
* add reference link and fix trailing whitespace
* Add BriaFiboTransformer2DModel documentation and update comments in BriaFibo classes
- Introduced a new documentation file for BriaFiboTransformer2DModel.
- Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to clarify the origins of the code, indicating copied sources for better attribution.
---------
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
