* add inferring_controlnet_cond_batch
* Revert "add inferring_controlnet_cond_batch"
This reverts commit abe8d6311d.
* set guess_mode to True
whenever global_pool_conditions is True
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* nit
* add integration test
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* StableDiffusionInpaintingPipeline now resizes input images and masks w.r.t to passed input height and width. Default is already set to 512. This addresses the common tensor mismatch error. Also moved type check into relevant funciton to keep main pipeline body tidy.
* Fixed StableDiffusionInpaintingPrepareMaskAndMaskedImageTests
Due to previous commit these tests were failing as height and width need to be passed into the prepare_mask_and_masked_image function, I have updated the code and added a height/width variable per unit test as it seemed more appropriate than the current hard coded solution
* Added a resolution test to StableDiffusionInpaintPipelineSlowTests
this unit test simply gets the input and resizes it into some that would fail (e.g. would throw a tensor mismatch error/not a mult of 8). Then passes it through the pipeline and verifies it produces output with correct dims w.r.t the passed height and width
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Batched load of textual inversions
- Only call resize_token_embeddings once per batch as it is the most expensive operation
- Allow pretrained_model_name_or_path and token to be an optional list
- Remove Dict from type annotation pretrained_model_name_or_path as it was not supported in this function
- Add comment that single files (e.g. .pt/.safetensors) are supported
- Add comment for token parameter
- Convert token override log message from warning to info
* Update src/diffusers/loaders.py
Check for duplicate tokens
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update condition for None tokens
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix more torch compile breaks
* add tests
* Fix all
* fix controlnet
* fix more
* Add Horace He as co-author.
>
>
Co-authored-by: Horace He <horacehe2007@yahoo.com>
* Add Horace He as co-author.
Co-authored-by: Horace He <horacehe2007@yahoo.com>
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Co-authored-by: Horace He <horacehe2007@yahoo.com>
* fix more
* Fix more
* fix more
* Apply suggestions from code review
* fix
* make style
* make fix-copies
* fix
* make sure torch compile
* Clean
* fix test
* Update Pix2PixZero Auto-correlation Loss
* Add Stable Diffusion DiffEdit pipeline
* Add draft documentation and import code
* Bugfixes and refactoring
* Add option to not decode latents in the inversion process
* Harmonize preprocessing
* Revert "Update Pix2PixZero Auto-correlation Loss"
This reverts commit b218062fed.
* Update annotations
* rename `compute_mask` to `generate_mask`
* Update documentation
* Update docs
* Update Docs
* Fix copy
* Change shape of output latents to batch first
* Update docs
* Add first draft for tests
* Bugfix and update tests
* Add `cross_attention_kwargs` support for all pipeline methods
* Fix Copies
* Add support for PIL image latents
Add support for mask broadcasting
Update docs and tests
Align `mask` argument to `mask_image`
Remove height and width arguments
* Enable MPS Tests
* Move example docstrings
* Fix test
* Fix test
* fix pipeline inheritance
* Harmonize `prepare_image_latents` with StableDiffusionPix2PixZeroPipeline
* Register modules set to `None` in config for `test_save_load_optional_components`
* Move fixed logic to specific test class
* Clean changes to other pipelines
* Update new tests to coordinate with #2953
* Update slow tests for better results
* Safety to avoid potential problems with torch.inference_mode
* Add reference in SD Pipeline Overview
* Fix tests again
* Enforce determinism in noise for generate_mask
* Fix copies
* Widen test tolerance for fp16 based on `test_stable_diffusion_upscale_pipeline_fp16`
* Add LoraLoaderMixin and update `prepare_image_latents`
* clean up repeat and reg
* bugfix
* Remove invalid args from docs
Suppress spurious warning by repeating image before latent to mask gen
* add
* clean
* up
* clean up more
* fix more tests
* Improve docs further
* improve
* more fixes docs
* Improve docs more
* Update src/diffusers/models/unet_2d_condition.py
* fix
* up
* update doc links
* make fix-copies
* add safety checker and watermarker to stage 3 doc page code snippets
* speed optimizations docs
* memory optimization docs
* make style
* add watermarking snippets to doc string examples
* make style
* use pt_to_pil helper functions in doc strings
* skip mps tests
* Improve safety
* make style
* new logic
* fix
* fix bad onnx design
* make new stable diffusion upscale pipeline model arguments optional
* define has_nsfw_concept when non-pil output type
* lowercase linked to notebook name
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Co-authored-by: William Berman <WLBberman@gmail.com>
When the token used for textual inversion does not have any special symbols (e.g. it is not surrounded by <>), the tokenizer does not properly split the replacement tokens. Adding a space for the padding tokens fixes this.
* Update Pix2PixZero Auto-correlation Loss
* Add fast inversion tests
* Clarify purpose and mark as deprecated
Fix inversion prompt broadcasting
* Register modules set to `None` in config for `test_save_load_optional_components`
* Update new tests to coordinate with #2953
* add mixin class for pipeline from original sd ckpt
* Improve
* make style
* merge main into
* Improve more
* fix more
* up
* Apply suggestions from code review
* finish docs
* rename
* make style
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add guess mode (WIP)
* fix uncond/cond order
* support guidance_scale=1.0 and batch != 1
* remove magic coeff
* add docstring
* add intergration test
* add document to controlnet.mdx
* made the comments a bit more explanatory
* fix table
* fix: norm group test for UNet3D.
* chore: speed up the panorama tests (fast).
* set default value of _test_inference_batch_single_identical.
* fix: batch_sizes default value.
* fix progress bar issue in pipeline_text_to_video_zero.py. Copy scheduler after first backward
* fix tensor loading in test_text_to_video_zero.py
* make style && make quality
* add support for prompt embeds to SD ONNX pipeline
* fix up the pipeline copies
* add prompt embeds param to other ONNX pipelines
* fix up prompt embeds param for SD upscaling ONNX pipeline
* add missing type annotations to ONNX pipes
* ⚙️chore(train_controlnet) fix typo in logger message
* ⚙️chore(models) refactor modules order; make them the same as calling order
When printing the BasicTransformerBlock to stdout, I think it's crucial that the attributes order are shown in proper order. And also previously the "3. Feed Forward" comment was not making sense. It should have been close to self.ff but it's instead next to self.norm3
* correct many tests
* remove bogus file
* make style
* correct more tests
* finish tests
* fix one more
* make style
* make unclip deterministic
* ⚙️chore(models/attention) reorganize comments in BasicTransformerBlock class
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add TextToVideoZeroPipeline and CrossFrameAttnProcessor
* add docs for text-to-video zero
* add teaser image for text-to-video zero docs
* Fix review changes. Add Documentation. Add test
* clean up the codes in pipeline_text_to_video.py. Add descriptive comments and docstrings
* make style && make quality
* make fix-copies
* make requested changes to docs. use huggingface server links for resources, delete res folder
* make style && make quality && make fix-copies
* make style && make quality
* Apply suggestions from code review
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* 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
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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>
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
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
