GitLab

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Co-authored-by: Tolga Cangöz <mtcangoz@gmail.com>
Co-authored-by: Tolga Cangöz <46008593+tolgacangoz@users.noreply.github.com>

* 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

* Add MLU Support.

* fix comment.

* rename is_mlu_available to is_torch_mlu_available

* Apply style fixes

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.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

* 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>

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

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

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

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

* Update src/diffusers/pipelines/sana/pipeline_sana_video.py
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* Update src/diffusers/video_processor.py
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* make style
make quality
make fix-copies

* toctree yaml update;

* add sana-video-transformer3d markdown;

* Apply style fixes

---------
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* update

* update

* update

* update

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

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

* 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>

* 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>

* add hunyuanimage2.1


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

* update

* update

* update

* 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>
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Co-authored-by: sayakpaul <spsayakpaul@gmail.com>

update

* 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

* up

* get ready

* fix import

* up

* up

* up

* up

* up

* up

* up

* up

* remove saves

* move things around a bit.

* get ready.

* 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

* feat: add support of qwenimageeditplus

* add copies statement

* fix copies statement

* remove vl_processor reference

* Added LucyEditPipeline

* add import & stype

missing copied from

* Fix example doc string

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

* add qwen-image-cn-inpaint


---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

* add qwen modular

* initial commit

* update

* updates

* update

* update

* update

* update

* update

* update

* addressed PR comments

* update

* addressed PR comments

* update

* update

* update

* update

* update

* update

* updates

* update

* update

* addressed PR comments

* updates

* code formatting

* update

* addressed PR comments

* addressed PR comments

* addressed PR comments

* addressed PR comments

* fix docs and dependencies

* fixed dependency test

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

* feat: try loading fa3 using kernels when available.

* up

* change to Hub.

* up

* up

* up

* switch env var.

* up

* up

* up

* up

* up

* up

* add qwenimage-edit inpaint feature

* stay up to date with main branch

* fix style

* fix docs

* copies

* fix

* again

* copies

---------
Co-authored-by: “Trgtuan10” <“tuannguyentrong.402@gmail.com”>
Co-authored-by: TuanNT-ZenAI <tuannt.zenai@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* merge main

* Revert "merge main"

This reverts commit 65efbcead58644b31596ed2d714f7cee0e0238d3.

Fix typos and test assertions
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* support qwen-image-cn-union


---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Add Bria model and pipeline to diffusers

- Introduced `BriaTransformer2DModel` and `BriaPipeline` for enhanced image generation capabilities.
- Updated import structures across various modules to include the new Bria components.
- Added utility functions and output classes specific to the Bria pipeline.
- Implemented tests for the Bria pipeline to ensure functionality and output integrity.

* with working tests

* style and quality pass

* adding docs

* add to overview

* fixes from "make fix-copies"

* Refactor transformer_bria.py and pipeline_bria.py: Introduce new EmbedND class for rotary position embedding, and enhance Timestep and TimestepProjEmbeddings classes. Add utility functions for handling negative prompts and generating original sigmas in pipeline_bria.py.

* remove redundent and duplicates tests and fix bf16
slow test

* style fixes

* small doc update

* Enhance Bria 3.2 documentation and implementation

- Updated the GitHub repository link for Bria 3.2.
- Added usage instructions for the gated model access.
- Introduced the BriaTransformerBlock and BriaAttention classes to the model architecture.
- Refactored existing classes to integrate Bria-specific components, including BriaEmbedND and BriaPipeline.
- Updated the pipeline output class to reflect Bria-specific functionality.
- Adjusted test cases to align with the new Bria model structure.

* Refactor Bria model components and update documentation

- Removed outdated inference example from Bria 3.2 documentation.
- Introduced the BriaTransformerBlock class to enhance model architecture.
- Updated attention handling to use `attention_kwargs` instead of `joint_attention_kwargs`.
- Improved import structure in the Bria pipeline to handle optional dependencies.
- Adjusted test cases to reflect changes in model dtype assertions.

* Update Bria model reference in documentation to reflect new file naming convention

* Update docs/source/en/_toctree.yml

* Refactor BriaPipeline to inherit from DiffusionPipeline instead of FluxPipeline, updating imports accordingly.

* move the __call__ func to the end of file

* Update BriaPipeline example to use bfloat16 for precision sensitivity for better result

* make style && make quality &&  make fix-copiessource

---------
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* feat(qwen-image):
add qwen-image-edit support

* fix(qwen image):
- compatible with torch.compile in new rope setting
- fix init import
- add prompt truncation in img2img and inpaint pipe
- remove unused logic and comment
- add copy statement
- guard logic for rope video shape tuple

* fix(qwen image):
- make fix-copies
- update doc

* tighten compilation tests for quantization

* feat: model_info but local.

* up

* Revert "tighten compilation tests for quantization"

This reverts commit 8d431dc967a4118168af74aae9c41f2a68764851.

* up

* reviewer feedback.

* reviewer feedback.

* up

* up

* empty

* update

---------
Co-authored-by: DN6 <dhruv.nair@gmail.com>