GitLab

* 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

---------
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* 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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* update

* update

* update

* update

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

* fix bug when offload and cache_latents both enabled

* fix

* 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>

pass hub_kwargs to load_config

* start flux modular tests.

* up

* add kontext

* up

* up

* up

* Update src/diffusers/modular_pipelines/flux/denoise.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* up

* up

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

better warn message

update

update
Co-authored-by: YiYi Xu <yixu310@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>

* update

* update

* update

* update

* update

* support latest few-step wan LoRA.

* up

* up

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
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* 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
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* 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
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* 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
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* 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
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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
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

---------
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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>

Fix small inconsistency in output dimension of "_get_t5_prompt_embeds" function in sd3 pipeline (#12531)

* Fix small inconsistency in output dimension of t5 embeds when text_encoder_3 is None

* first commit

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Co-authored-by: Alireza Farashah <alireza.farashah@cn-g017.server.mila.quebec>
Co-authored-by: Alireza Farashah <alireza.farashah@login-2.server.mila.quebec>

* add aiter attention backend

* Apply style fixes

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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

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

* move guiders experimental warning to init.

* up

* update

* update

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

* add hunyuanimage2.1


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

* update

* update

* update

* 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>

* fix CI bug for kandinsky3_img2img case
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* update code
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

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Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

add

fix

* 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

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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>

Fix: Use incorrect temporary variable key when replacing adapter name in state dict within load_lora_adapter function
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

update

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

update
Co-authored-by: Aryan <aryan@huggingface.co>