GitLab

* Update pipeline_skyreels_v2_i2v.py

* Update README.md

* Update torch_utils.py

* Update torch_utils.py

* Update guider_utils.py

* Update pipeline_ltx.py

* Update pipeline_bria.py

* Apply suggestion from @qgallouedec

* Update autoencoder_kl_qwenimage.py

* Update pipeline_prx.py

* Update pipeline_wan_vace.py

* Update pipeline_skyreels_v2.py

* Update pipeline_skyreels_v2_diffusion_forcing.py

* Update pipeline_bria_fibo.py

* Update pipeline_skyreels_v2_diffusion_forcing_i2v.py

* Update pipeline_ltx_condition.py

* Update pipeline_ltx_image2video.py

* Update regional_prompting_stable_diffusion.py

* make style

* style

* style

* fix

* fix

* fix

* remoce cocpies instead

* 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

---------
Co-authored-by: Charchit Sharma <charchitsharma@A-267.local>

Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples (#12544)

* Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples

* Apply style fixes

---------
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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* 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>

* feat: enable attention dispatch for huanyuan video

* feat: enable attention dispatch for huanyuan video

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

update

* 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>

* fix crash in tiling mode is enabled
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* fmt
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>

improve pos embed for ascend npu
Co-authored-by: felix01.yu <felix01.yu@vipshop.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
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

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

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* remove unused imports

* add 10 second models support

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* remove no_grad and simplified prompt paddings

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* moved template to __init__

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* refactoring

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* refactoring acording to https://github.com/huggingface/diffusers/commit/acabbc0033d4b4933fc651766a4aa026db2e6dc1



* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/models/transformers/transformer_kandinsky.py
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* Update src/diffusers/models/transformers/transformer_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* 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

---------
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Charles <charles@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* add aiter attention backend

* Apply style fixes

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* [Fix] Move attention mask padding after T5 embedding

* [Fix] Move attention mask padding after T5 embedding

* Clean up whitespace in pipeline_chroma.py

Removed unnecessary blank lines for cleaner code.

* Fix

* Fix

* Update model to final Chroma1-HD checkpoint

* Update to Chroma1-HD

* Update model to Chroma1-HD

* Update model to Chroma1-HD

* Update Chroma model links to Chroma1-HD

* Add comment about padding/masking

* Fix checkpoint/repo references

* Apply style fixes

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* add hunyuanimage2.1


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

* Fix MPS compatibility in get_1d_sincos_pos_embed_from_grid #12432

* Fix trailing whitespace in docstring

* Apply style fixes

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

add

* up

* correct wording.

* up

* up

* up

* rename photon to prx

* rename photon into prx

* Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370

* rename photon to prx

* rename photon into prx

* Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370

* make fix-copies

* Add Photon model and pipeline support

This commit adds support for the Photon image generation model:
- PhotonTransformer2DModel: Core transformer architecture
- PhotonPipeline: Text-to-image generation pipeline
- Attention processor updates for Photon-specific attention mechanism
- Conversion script for loading Photon checkpoints
- Documentation and tests

* just store the T5Gemma encoder

* enhance_vae_properties if vae is provided only

* remove autocast for text encoder forwad

* BF16 example

* conditioned CFG

* remove enhance vae and use vae.config directly when possible

* move PhotonAttnProcessor2_0 in transformer_photon

* remove einops dependency and now inherits from AttentionMixin

* unify the structure of the forward block

* update doc

* update doc

* fix T5Gemma loading from hub

* fix timestep shift

* remove lora support from doc

* Rename EmbedND for PhotoEmbedND

* remove modulation dataclass

* put _attn_forward and _ffn_forward logic in PhotonBlock's forward

* renam LastLayer for FinalLayer

* remove lora related code

* rename vae_spatial_compression_ratio for vae_scale_factor

* support prompt_embeds in call

* move xattention conditionning out computation out of the denoising loop

* add negative prompts

* Use _import_structure for lazy loading

* make quality + style

* add pipeline test + corresponding fixes

* utility function that determines the default resolution given the VAE

* Refactor PhotonAttention to match Flux pattern

* built-in RMSNorm

* Revert accidental .gitignore change

* parameter names match the standard diffusers conventions

* renaming and remove unecessary attributes setting

* Update docs/source/en/api/pipelines/photon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* quantization example

* added doc to toctree

* Update docs/source/en/api/pipelines/photon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/api/pipelines/photon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/api/pipelines/photon.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* use dispatch_attention_fn for multiple attention backend support

* naming changes

* make fix copy

* Update docs/source/en/api/pipelines/photon.md
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Add PhotonTransformer2DModel to TYPE_CHECKING imports

* make fix-copies

* Use Tuple instead of tuple
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* restrict the version of transformers
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Update tests/pipelines/photon/test_pipeline_photon.py
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Update tests/pipelines/photon/test_pipeline_photon.py
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* change | for Optional

* fix nits.

* use typing Dict

---------
Co-authored-by: davidb <davidb@worker-10.soperator-worker-svc.soperator.svc.cluster.local>
Co-authored-by: David Briand <david@photoroom.com>
Co-authored-by: davidb <davidb@worker-8.soperator-worker-svc.soperator.svc.cluster.local>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>

Refactor QwenEmbedRope to only use the LRU cache for RoPE caching

* add kandinsky5 transformer pipeline first version

---------
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Charles <charles@huggingface.co>

* cleanup of runway model

* quality fixes

* wan fix scale_shift_factor being on cpu

* apply device cast to ltx transformer

* Apply style fixes

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

conditionally import torch distributed stuff.

* change syntax

* make style

* Support huggingface_hub 0.x and 1.x

* httpx

* update

* update

* add coauthor
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* improve test

* handle ip adapter params correctly

* fix chroma qkv fusion test

* fix fastercache implementation

* fix more tests

* fight more tests

* add back set_attention_backend

* update

* update

* make style

* make fix-copies

* make ip adapter processor compatible with attention dispatcher

* refactor chroma as well

* remove rmsnorm assert

* minify and deprecate npu/xla processors

* update

* refactor

* refactor; support flash attention 2 with cp

* fix

* support sage attention with cp

* make torch compile compatible

* update

* refactor

* update

* refactor

* refactor

* add ulysses backward

* try to make dreambooth script work; accelerator backward not playing well

* Revert "try to make dreambooth script work; accelerator backward not playing well"

This reverts commit 768d0ea6fa6a305d12df1feda2afae3ec80aa449.

* workaround compilation problems with triton when doing all-to-all

* support wan

* handle backward correctly

* support qwen

* support ltx

* make fix-copies

* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* apply review suggestions

* update docs

* add explanation

* make fix-copies

* add docstrings

* support passing parallel_config to from_pretrained

* apply review suggestions

* make style

* update

* Update docs/source/en/api/parallel.md
Co-authored-by: Aryan <aryan@huggingface.co>

* up

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

* update

* update

* update

* update

* update

* FIxes enable_xformers_memory_efficient_attention()

* Update attention.py

* fix hidream type hint

* fix hunyuan-video type hint

* fix many type hint

* fix many type hint errors

* fix many type hint errors

* fix many type hint errors

* make stype & make quality

* Update autoencoder_kl_wan.py

When using the Wan2.2 VAE, the spatial compression ratio calculated here is incorrect. It should be 16 instead of 8. Pass it in directly via the config to ensure it’s correct here.

* Update autoencoder_kl_wan.py