GitLab

* 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
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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
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
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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 https://github.com/huggingface/diffusers/commit/acabbc0033d4b4933fc651766a4aa026db2e6dc1



* 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

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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>
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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

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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>
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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

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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>

Fix missing load_video documentation and load_video import in WanVideoToVideoPipeline example code (#12472)

* Update utilities.md

Update missing load_video documentation

* Update pipeline_wan_video2video.py

Fix missing load_video import in example code

* fix syntax

* fix

* style

* fix

* up

* get ready

* fix import

* up

* up

* revisit the installations in CI.

* up

* up

* up

* empty

* up

* up

* up

* up

* unguard.

* start

* fix

* up

* make flux ready for mellon

* up

* Apply suggestions from code review
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

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

* up

* up

* up

* up

* up

* up

* remove saves

* move things around a bit.

* get ready.

* wan fix scale_shift_factor being on cpu

* apply device cast to ltx transformer

* Apply style fixes

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
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conditionally import torch distributed stuff.

* change syntax

* make style

* fix

* add mellon node registry

* style

* update docstring to include more info!

* support custom node mellon

* HTTPErrpr -> HfHubHTTPErrpr

* up

* Update src/diffusers/modular_pipelines/qwenimage/node_utils.py