GitLab

* 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.

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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

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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>

* reorganize

* fix

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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

* 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>

Fix peft error

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

* make qwen and kontext uv compatible

* add torchvision

* add torchvision

* add datasets, bitsandbytes, prodigyopt

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

I noticed that the test should be for the option check_compiled="ignore"
but it was using check_compiled="warn". This has been fixed, now the
correct argument is passed.

However, the fact that the test passed means that it was incorrect to
begin with. The way that logs are collected does not collect the
logger.warning call here (not sure why). To amend this, I'm now using
assertNoLogs. With this change, the test correctly fails when the wrong
argument is passed.

conditionally import torch distributed stuff.