* rename photon to prx
* rename photon into prx
* Revert .gitignore to state before commit b7fb0fe9d6
* rename photon to prx
* rename photon into prx
* Revert .gitignore to state before commit b7fb0fe9d6
* 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>
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>
* 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
* 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
