* move unets to module 🦋
* parameterize unet-level import.
* fix flax unet2dcondition model import
* models __init__
* mildly depcrecating models.unet_2d_blocks in favor of models.unets.unet_2d_blocks.
* noqa
* correct depcrecation behaviour
* inherit from the actual classes.
* Empty-Commit
* backwards compatibility for unet_2d.py
* backward compatibility for unet_2d_condition
* bc for unet_1d
* bc for unet_1d_blocks
* feat: introduce autoencoders module
* more changes for styling and copy fixing
* path changes in the docs.
* fix: import structure in init.
* fix controlnetxs import
* Update value_guided_sampling.py
Changed the scheduler step function as predict_epsilon parameter is not there in latest DDPM Scheduler
* Update value_guided_sampling.md
Updated a link to a working notebook
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* add diffusers example
* add diffusers example
* Comment about making it faster
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* integrated sdxl for the text2video-zero pipeline
* make fix-copies
* fixed CI issues
* make fix-copies
* added docs and `copied from` statements
* added fast tests
* made a small change in docs
* quality+style check fix
* updated docs. added controlnet inference with sdxl
* added device compatibility for fast tests
* fixed docstrings
* changing vae upcasting
* remove torch.empty_cache to speed up inference
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* made fast tests to run on dummy models only, fixed copied from statements
* fixed testing utils imports
* Added bullet points for SDXL support
* fixed formatting & quality
* Update tests/pipelines/text_to_video/test_text_to_video_zero_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/pipelines/text_to_video/test_text_to_video_zero_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fixed minor error for merging
* fixed updates of sdxl
* made fast tests inherit from `PipelineTesterMixin` and run in 3-4secs on CPU
* make style && make quality
* reimplemented fast tests w/o default attn processor
* make style & make quality
* make fix-copies
* make fix-copies
* fixed docs
* make style & make quality & make fix-copies
* bug fix in cross attention
* make style && make quality
* make fix-copies
* fix gpu issues
* make fix-copies
* updated pipeline signature
---------
Co-authored-by: Vahram <vahram.tadevosyan@lambda-loginnode02.cm.cluster>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* deprecated: KarrasVeScheduler, ScoreSdeVpScheduler
* delete tests relevant to deprecated schedulers
* chore: run make style
* fix: import error caused due to incorrect _import_structure after deprecation
* fix: ScoreSdeVpScheduler was not importable from diffusers
* remove import added by assumption
* Update src/diffusers/schedulers/__init__.py as suggested by @patrickvonplaten
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* make it a part deprecated
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix
* fix
* fix doc
* fix doc....again.......
* remove karras_ve test folder
Co-Authored-By: YiYi Xu <yixu310@gmail.com>
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
* finalize
* finalize
* finalize
* add slow test
* add slow test
* add slow test
* Fix more
* add slow test
* fix more
* fix more
* fix more
* fix more
* fix more
* fix more
* fix more
* fix more
* fix more
* Better
* Fix more
* Fix more
* add slow test
* Add auto pipelines
* add slow test
* Add all
* add slow test
* add slow test
* add slow test
* add slow test
* add slow test
* Apply suggestions from code review
* add slow test
* add slow test
* Fix typos, update, add Copyright info, and trim trailing whitespace
* Update docs/source/en/api/pipelines/text_to_video_zero.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* 1 second is not a long video, but 6 seconds is
* Update text_to_video_zero.md
* Update text_to_video_zero.md
* Update text_to_video_zero.md
* Update wuerstchen.md
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update the reference for text_to_video.md
The original reference (VideoFusion) might be misleading. VideoFusion is not open-sourced. I am the co-first author of ModelScopeT2V. I change the referred paper to the right one.
* Update docs/source/en/api/pipelines/text_to_video.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* consistency decoder
* rename
* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Update src/diffusers/pipelines/consistency_models/pipeline_consistency_models.py
* uP
* Apply suggestions from code review
* uP
* uP
* uP
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* initial commit for LatentConsistencyModelPipeline and LCMScheduler based on the community pipeline
* Add callback and freeu support.
* apply suggestions from review
* Clean up LCMScheduler
* Remove timeindex argument to LCMScheduler.step.
* Add support for clipping or thresholding the predicted original sample.
* Remove unused methods and arguments in LCMScheduler.
* Improve comment about (lack of) negative prompt support.
* Change input guidance_scale to match the StableDiffusionPipeline (Imagen) CFG formulation.
* Move lcm_origin_steps from pipeline __call__ to LCMScheduler.__init__/config (as origin_steps).
* Fix typo when clipping/thresholding in LCMScheduler.
* Add some initial LCMScheduler tests.
* add type annotations from review
* Fix type annotation bug.
* Override test_add_noise_device in LCMSchedulerTest since hardcoded timesteps doesn't work under default settings.
* Add generator argument pipeline prepare_latents call.
* Cast LCMScheduler.timesteps to long in set_timesteps.
* Add onestep and multistep full loop scheduler tests.
* Set default height/width to None and don't hardcode guidance scale embedding dim.
* Add initial LatentConsistencyPipeline fast and slow tests.
* Add initial documentation for LatentConsistencyModelPipeline and LCMScheduler.
* Make remaining failing fast tests pass.
* make style
* Make original_inference_steps configurable from pipeline __call__ again.
* make style
* Remove guidance_rescale arg from pipeline __call__ since LCM currently doesn't support CFG.
* Make LCMScheduler defaults match config of LCM_Dreamshaper_v7 checkpoint.
* Fix LatentConsistencyPipeline slow tests and add dummy expected slices.
* Add checks for original_steps in LCMScheduler.set_timesteps.
* make fix-copies
* Improve LatentConsistencyModelPipeline docs.
* Apply suggestions from code review
Co-authored-by: Aryan V S <avs050602@gmail.com>
* Apply suggestions from code review
Co-authored-by: Aryan V S <avs050602@gmail.com>
* Apply suggestions from code review
Co-authored-by: Aryan V S <avs050602@gmail.com>
* Update src/diffusers/schedulers/scheduling_lcm.py
* Apply suggestions from code review
Co-authored-by: Aryan V S <avs050602@gmail.com>
* finish
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Aryan V S <avs050602@gmail.com>
