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DN6 and others added 30 commits October 31, 2025 13:47
…#12381)

update

Co-authored-by: YiYi Xu <yixu310@gmail.com>
…2566)

* start flux modular tests.

* up

* add kontext

* up

* up

* up

* Update src/diffusers/modular_pipelines/flux/denoise.py

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* up

* up

---------

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* ulysses enabling in native attention path

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* address review comment

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add supports_context_parallel for native attention

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update templated attention

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

---------

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* add transformer pipeline first version

* updates

* fix 5sec generation

* rewrite Kandinsky5T2VPipeline to diffusers style

* add multiprompt support

* remove prints in pipeline

* add nabla attention

* Wrap Transformer in Diffusers style

* fix license

* fix prompt type

* add gradient checkpointing and peft support

* add usage example

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* remove unused imports

* add 10 second models support

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* remove no_grad and simplified prompt paddings

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* moved template to __init__

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* moved sdps inside processor

* remove oneline function

* remove reset_dtype methods

* Transformer: move all methods to forward

* separated prompt encoding

* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* refactoring

* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* refactoring acording to huggingface@acabbc0

* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/models/transformers/transformer_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py

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* fixed

* style +copies

* Update src/diffusers/models/transformers/transformer_kandinsky.py

Co-authored-by: Charles <charles@huggingface.co>

* more

* Apply suggestions from code review

* add lora loader doc

* add compiled Nabla Attention

* all needed changes for 10 sec models are added!

* add docs

* Apply style fixes

* update docs

* add kandinsky5 to toctree

* add tests

* fix tests

* Apply style fixes

* update tests

* minor docs refactoring

* refactor Kandinsky 5.0 Vide docs

* Update docs/source/en/_toctree.yml

---------

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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* fix bug when offload and cache_latents both enabled

* fix
…2592)

* update

* update

* update

* update

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
…ional_image_generation/train_unconditional.py (huggingface#12596)

* Add optional precision-preserving preprocessing

* Document decoder caveat for precision flag

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
…face#12584)

* 1. add `SanaVideoTransformer3DModel` in transformer_sana_video.py
2. add `SanaVideoPipeline` in pipeline_sana_video.py
3. add all code we need for import `SanaVideoPipeline`

* add a sample about how to use sana-video;

* code update;

* update hf model path;

* update code;

* sana-video can run now;

* 1. add aspect ratio in sana-video-pipeline;
2. add reshape function in sana-video-processor;
3. fix convert pth to safetensor bugs;

* default to use `use_resolution_binning`;

* make style;

* remove unused code;

* Update src/diffusers/models/transformers/transformer_sana_video.py

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Update src/diffusers/models/transformers/transformer_sana_video.py

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Update src/diffusers/models/transformers/transformer_sana_video.py

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* Update src/diffusers/pipelines/sana/pipeline_sana_video.py

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* Update src/diffusers/models/transformers/transformer_sana_video.py

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* Update src/diffusers/models/transformers/transformer_sana_video.py

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* Update src/diffusers/models/transformers/transformer_sana_video.py

* Update src/diffusers/pipelines/sana/pipeline_sana_video.py

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* Update src/diffusers/models/transformers/transformer_sana_video.py

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* Update src/diffusers/pipelines/sana/pipeline_sana_video.py

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* support `dispatch_attention_fn`

* 1. add sana-video markdown;
2. fix typos;

* add two test case for sana-video (need check)

* fix text-encoder in test-sana-video;

* Update tests/pipelines/sana/test_sana_video.py

* Update tests/pipelines/sana/test_sana_video.py

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* Update tests/pipelines/sana/test_sana_video.py

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* Update tests/pipelines/sana/test_sana_video.py

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* Update tests/pipelines/sana/test_sana_video.py

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* Update tests/pipelines/sana/test_sana_video.py

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* Update src/diffusers/pipelines/sana/pipeline_sana_video.py

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* Update src/diffusers/video_processor.py

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* make style
make quality
make fix-copies

* toctree yaml update;

* add sana-video-transformer3d markdown;

* Apply style fixes

---------

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…ch) (huggingface#12546)

* 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>
* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* feat: enable attention dispatch for huanyuan video

* feat: enable attention dispatch for huanyuan video
…ggingface#12562)

* fix the crash in Wan-AI/Wan2.2-TI2V-5B-Diffusers if CP is enabled

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* address review comment

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* refine

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

---------

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
* add ChronoEdit

* add ref to  original function & remove wan2.2 logics

* Update src/diffusers/pipelines/chronoedit/pipeline_chronoedit.py

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

* Update src/diffusers/pipelines/chronoedit/pipeline_chronoedit.py

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

* add ChronoeEdit test

* add docs

* add docs

* make fix-copies

* fix chronoedit test

---------

Co-authored-by: wjay <wjay@nvidia.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* update, remove intermediaate_inputs

* support image2video

* revert dynamic steps to simplify

* refactor vae encoder block

* support flf2video!

* add support for wan2.2 14B

* style

* Apply suggestions from code review

* input dynamic step -> additiional input step

* up

* fix init

* update dtype
…scripts (huggingface#12616)

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 huggingface#12606
* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

---------

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

Co-authored-by: YiYi Xu <yixu310@gmail.com>
…support variable-length tuples (huggingface#12544)

* 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>
…e#12750)

* Add ZImage LoRA support and integrate into ZImagePipeline

* Add LoRA test for Z-Image

* Move the LoRA test

* Fix ZImage LoRA scale support and test configuration

* Add ZImage LoRA test overrides for architecture differences

- Override test_lora_fuse_nan to use ZImage's 'layers' attribute
  instead of 'transformer_blocks'
- Skip block-level LoRA scaling test (not supported in ZImage)
- Add required imports: numpy, torch_device, check_if_lora_correctly_set

* Add ZImageLoraLoaderMixin to LoRA documentation

* Use conditional import for peft.LoraConfig in ZImage tests

* Override test_correct_lora_configs_with_different_ranks for ZImage

ZImage uses 'attention.to_k' naming convention instead of 'attn.to_k',
so the base test's module name search loop never finds a match. This
override uses the correct naming pattern for ZImage architecture.

* Add is_flaky decorator to ZImage LoRA tests initialise padding tokens

* Skip ZImage LoRA test class entirely

Skip the entire ZImageLoRATests class due to non-deterministic behavior
from complex64 RoPE operations and torch.empty padding tokens.
LoRA functionality works correctly with real models.

Clean up removed:
- Individual @unittest.skip decorators
- @is_flaky decorator overrides for inherited methods
- Custom test method overrides
- Global torch deterministic settings
- Unused imports (numpy, is_flaky, check_if_lora_correctly_set)

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* add ovis_image

* fix code quality

* optimize pipeline_ovis_image.py according to the feedbacks

* optimize imports

* add docs

* make style

* make style

* add ovis to toctree

* oops

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
…g with empty dim. (huggingface#12770)

* Refactor image padding logic to pervent zero tensor in transformer_z_image.py

* Apply style fixes

* Add more support to fix repeat bug on tpu devices.

* Fix for dynamo compile error for multi if-branches.

---------

Co-authored-by: Mingjia Li <mingjiali@tju.edu.cn>
Co-authored-by: Mingjia Li <mail@mingjia.li>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
…orking properly (huggingface#12721)

* Fixes huggingface#12673.

    Wrong default_stream is used. leading to wrong execution order when record_steram is enabled.

* update

* Update test

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
…2765)

* start varlen variants for attn backend kernels.

* maybe unflatten heads.

* updates

* remove unused function.

* doc

* up
* remove attn_processors property

* more

* up

* up more.

* up

* add AttentionMixin to AuraFlow.

* up

* up

* up

* up
* update

* update

* Revert "update"

This reverts commit 7390638.

* Revert "update"

This reverts commit 21a03f9.

* update

* update

* update

* update

* update
* add transformer pipeline first version


---------

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…12639)

* Fix(peft): Re-apply group offloading after deleting adapters

* Test: Add regression test for group offloading + delete_adapters

* Test: Add assertions to verify output changes after deletion

* Test: Add try/finally to clean up group offloading hooks

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
…gingface#12741)

* start zimage model tests.

* up

* up

* up

* up

* up

* up

* up

* up

* up

* up

* up

* up

* Revert "up"

This reverts commit bca3e27.

* expand upon compilation failure reason.

* Update tests/models/transformers/test_models_transformer_z_image.py

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* reinitialize the padding tokens to ones to prevent NaN problems.

* updates

* up

* skipping ZImage DiT tests

* up

* up

---------

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
* Z-Image-Turbo `from_single_file`

* compute_dtype

* -device cast
…uggingface#12767)

refactor: add type hints and update docstrings for UniPCMultistepScheduler parameters and methods.
…encode (huggingface#12753)

fix spatial compression ratio compute error for AutoEncoderKLWan

Co-authored-by: lirui.926 <lirui.926@bytedance.com>
up

Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
…mentation (huggingface#12791)

fix timestepembeddings downscale_freq_shift to be consitant with Photoroom's original code
…ne layers (huggingface#12692)

* fix: group offloading to support standalone computational layers in block-level offloading

* test: for models with standalone and deeply nested layers in block-level offloading

* feat: support for block-level offloading in group offloading config

* fix: group offload block modules to AutoencoderKL and AutoencoderKLWan

* fix: update group offloading tests to use AutoencoderKL and adjust input dimensions

* refactor: streamline block offloading logic

* Apply style fixes

* update tests

* update

* fix for failing tests

* clean up

* revert to use skip_keys

* clean up

---------

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* initial

* toctree

* fix

* apply review and fix

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

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
…ggingface#12796)

* feat: Add `flow_prediction` to `prediction_type`, introduce `use_flow_sigmas`, `flow_shift`, `use_dynamic_shifting`, and `time_shift_type` parameters, and refine type hints for various arguments.

* style: reformat argument wrapping in `_convert_to_beta` and `index_for_timestep` method signatures.
* init taylor_seer cache

* make compatible with any tuple size returned

* use logger for printing, add warmup feature

* still update in warmup steps

* refractor, add docs

* add configurable cache, skip compute module

* allow special cache ids only

* add stop_predicts (cooldown)

* update docs

* apply ruff

* update to handle multple calls per timestep

* refractor to use state manager

* fix format & doc

* chores: naming, remove redundancy

* add docs

* quality & style

* fix taylor precision

* Apply style fixes

* add tests

* Apply style fixes

* Remove TaylorSeerCacheTesterMixin from flux2 tests

* rename identifiers, use more expressive taylor predict loop

* torch compile compatible

* Apply style fixes

* Update src/diffusers/hooks/taylorseer_cache.py

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

* update docs

* make fix-copies

* fix example usage.

* remove tests on flux kontext

---------

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Update the naming

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* add post init for safty checker

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* check transformers version before post init

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Apply style fixes

---------

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* Add ZImageImg2ImgPipeline

Updated the pipeline structure to include ZImageImg2ImgPipeline
    alongside ZImagePipeline.
Implemented the ZImageImg2ImgPipeline class for image-to-image
    transformations, including necessary methods for
    encoding prompts, preparing latents, and denoising.
Enhanced the auto_pipeline to map the new ZImageImg2ImgPipeline
    for image generation tasks.
Added unit tests for ZImageImg2ImgPipeline to ensure
    functionality and performance.
Updated dummy objects to include ZImageImg2ImgPipeline for
    testing purposes.

* Address review comments for ZImageImg2ImgPipeline

- Add `# Copied from` annotations to encode_prompt and _encode_prompt
- Add ZImagePipeline to auto_pipeline.py for AutoPipeline support

* Add ZImage pipeline documentation

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
* Reimplement img2seq & seq2img in PRX to enable ONNX build without Col2Im (incompatible with TensorRT).

* Apply style fixes

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
…py (huggingface#12798)

feat: add flow sigmas, dynamic shifting, and refine type hints in DPMSolverSinglestepScheduler
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