* add load textual inversion embeddings draft
* fix quality
* fix typo
* make fix copies
* move to textual inversion mixin
* make it accept from sd-concept library
* accept list of paths to embeddings
* fix styling of stable diffusion pipeline
* add dummy TextualInversionMixin
* add docstring to textualinversionmixin
* add load textual inversion embeddings draft
* fix quality
* fix typo
* make fix copies
* move to textual inversion mixin
* make it accept from sd-concept library
* accept list of paths to embeddings
* fix styling of stable diffusion pipeline
* add dummy TextualInversionMixin
* add docstring to textualinversionmixin
* add case for parsing embedding from auto1111 UI format
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>
* fix style after rebase
* move textual inversion mixin to loaders
* move mixin inheritance to DiffusionPipeline from StableDiffusionPipeline)
* update dummy class name
* addressed allo comments
* fix old dangling import
* fix style
* proposal
* remove bogus
* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
* finish
* make style
* up
* fix code quality
* fix code quality - again
* fix code quality - 3
* fix alt diffusion code quality
* fix model editing pipeline
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Finish
---------
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Workaround for saving dynamo-wrapped models.
* Accept suggestion from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Apply workaround when overriding pipeline components.
* Ensure the correct config.json is saved to disk.
Instead of the dynamo class.
* Save correct module (not compiled one)
* Add test
* style
* fix docstrings
* Go back to using string comparisons.
PyTorch CPU does not have _dynamo.
* Simple test for save_pretrained of compiled models.
* Helper function to test whether module is compiled.
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.
* [MS Text To Video} Add first text to video
* upload
* make first model example
* match unet3d params
* make sure weights are correcctly converted
* improve
* forward pass works, but diff result
* make forward work
* fix more
* finish
* refactor video output class.
* feat: add support for a video export utility.
* fix: opencv availability check.
* run make fix-copies.
* add: docs for the model components.
* add: standalone pipeline doc.
* edit docstring of the pipeline.
* add: right path to TransformerTempModel
* add: first set of tests.
* complete fast tests for text to video.
* fix bug
* up
* three fast tests failing.
* add: note on slow tests
* make work with all schedulers
* apply styling.
* add slow tests
* change file name
* update
* more correction
* more fixes
* finish
* up
* Apply suggestions from code review
* up
* finish
* make copies
* fix pipeline tests
* fix more tests
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* apply suggestions
* up
* revert
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* updated black format
* update black format
* make style format
* updated line endings
* update code formatting
* Update examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/models/vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* added vae gradient checkpointing test
* make style
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
* Adding `use_safetensors` argument to give more control to users
about which weights they use.
* Doc style.
* Rebased (not functional).
* Rebased and functional with tests.
* Style.
* Apply suggestions from code review
* Style.
* Addressing comments.
* Update tests/test_pipelines.py
Co-authored-by: Will Berman <wlbberman@gmail.com>
* Black ???
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
* fix AttnProcessor2_0
Fix use of AttnProcessor2_0 for cross attention with mask
* added scale_qk and out_bias flags
* fixed for xformers
* check if it has scale argument
* Update cross_attention.py
* check torch version
* fix sliced attn
* style
* set scale
* fix test
* fixed addedKV processor
* revert back AttnProcessor2_0
* if missing if
* fix inner_dim
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add support for different model prediction types in DDIMInverseScheduler
Resolve alpha_prod_t_prev index issue for final step of inversion
* Fix old bug introduced when prediction type is "sample"
* Add support for sample clipping for numerical stability and deprecate old kwarg
* Detach sample, alphas, betas
Derive predicted noise from model output before dist. regularization
Style cleanup
* Log loss for debugging
* Revert "Log loss for debugging"
This reverts commit 76ea9c856f.
* Add comments
* Add inversion equivalence test
* Add expected data for Pix2PixZero pipeline tests with SD 2
* Update tests/pipelines/stable_diffusion/test_stable_diffusion_pix2pix_zero.py
* Remove cruft and add more explanatory comments
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* ema test cases.
* debugging maessages.
* debugging maessages.
* add: tests for ema.
* fix: optimization_step arg,
* handle device placement.
* Apply suggestions from code review
Co-authored-by: Will Berman <wlbberman@gmail.com>
* remove del and gc.
* address PR feedback.
* add: tests for serialization.
* fix: typos.
* skip_mps to serialization.
---------
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* support for List[ControlNetModel] on init()
* Add to support for multiple ControlNetCondition
* rename conditioning_scale to scale
* scaling bugfix
* Manually merge `MultiControlNet` #2621
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* cleanups
- don't expose ControlNetCondition
- move scaling to ControlNetModel
* make style error correct
* remove ControlNetCondition to reduce code diff
* refactoring image/cond_scale
* add explain for `images`
* Add docstrings
* all fast-test passed
* Add a slow test
* nit
* Apply suggestions from code review
* small precision fix
* nits
MultiControlNet -> MultiControlNetModel - Matches existing naming a bit
closer
MultiControlNetModel inherit from model utils class - Don't have to
re-write fp16 test
Skip tests that save multi controlnet pipeline - Clearer than changing
test body
Don't auto-batch the number of input images to the number of controlnets.
We generally like to require the user to pass the expected number of
inputs. This simplifies the processing code a bit more
Use existing image pre-processing code a bit more. We can rely on the
existing image pre-processing code and keep the inference loop a bit
simpler.
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: William Berman <WLBberman@gmail.com>
