GitLab

* add hunyuanimage2.1


---------
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>

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

* add a lightweight test suite for attention backends.

* up

* up

* Apply suggestions from code review

* formatting

xfail the test_wuerstchen_prior test

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

* purge HF_HUB_ENABLE_HF_TRANSFER; promote Xet

* purge HF_HUB_ENABLE_HF_TRANSFER; promote Xet x2

* restrict docker build test to the ones we actually use in CI.

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

* 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>

* reorganize

* fix

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

* up

* up

* up

* up

* up

* u[

* up

* up

* up

* xfail more incorrect transformer imports.

* xfail more.

* up

* up

* up

* check links

* update

* feedback

* remove

* checks

* feedback

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

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

fix clapconfig for text backbone in audioldm2

fix broken links

* init

* fix

* batch inf

* feedback

* update

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.

* fix dockerfile definitions.

* python 3.10 slim.

* up

* up

* up

* up

* up

* revert pr_tests.yml changes

* up

* up

* reduce python version for torch 2.1.0

* start

* fix

* up

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled