GitLab

[Slow Test]: Cuda test fixes
Co-authored-by: njindal <njindal@adobe.com>

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* Review comments

* [Review comment]: Add is_torchsde_available()

* [Review comment]: Test and docs

* [Review comment]

* [Review comment]

* [Review comment]

* [Review comment]

* [Review comment]

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Co-authored-by: njindal <njindal@adobe.com>

Write model card in controlnet training script.

* [docs] only mention one stage

* add blurb on auto accepting

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Co-authored-by: William Berman <WLBberman@gmail.com>

* Post release

* fix more

* [AudioLDM] Update docs to use updated ckpt

* make style

* add document on token merging.

* fix headline.

* fix: headline.

* add some samples for comparison.

* Add all files

* update

* Make sure vae is memory efficient for PT 1

* make style

* Add all files

* update

* 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>

* Fix docs text inversion

* Apply suggestions from code review

sync cache version check from transformers

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.

Add v1.1 docs

adding enable_vae_tiling and disable_val_tiling functions

cast to weight dtype

Revert "[Community Pipelines] Update lpw_stable_diffusion pipeline (#3197)"

This reverts commit 9965cb50.

* Make sure attention works with Torch 2_0

* make style

* Fix more

* Update lpw_stable_diffusion.py

* fix cpu offload

* Update train_dreambooth_lora.py

fix bug

* Update train_dreambooth_lora.py

* Add karras pattern to discrete heun scheduler

* Add integration test

* Fix failing CI on pytorch test on M1 (mps)

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Multi Vector

* Improve

* fix multi token

* improve test

* make style

* Update examples/test_examples.py

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* update

* Finish

* Apply suggestions from code review

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Co-authored-by: Suraj Patil <surajp815@gmail.com>

* clarify training arg

* apply feedback

fix from_flax
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

pass silence_dtype_warnings as kwarg
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update custom_diffusion.mdx

* fix: unnecessary list comprehension.

deterministic algos

* Add model offload to x4 upscaler

* fix

* Update Habana Gaudi doc

* Fix tables

* add: LoRA text encoder support for DreamBooth example.

* fix initialization.

* fix: modification call.

* add: entry in the readme.

* use dog dataset from hub.

* fix: params to clip.

* add entry to the LoRA doc.

* add: tests for lora.

* remove unnecessary list comprehension./

* 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

* Added distillation for quantization example on textual inversion.
Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

* refined readme and code style.
Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

* Update text2images.py

* refined code of model load and added compatibility check.
Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

* fixed code style.
Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

* fix C403 [*] Unnecessary `list` comprehension (rewrite as a `set` comprehension)
Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

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Signed-off-by: Ye, Xinyu <xinyu.ye@intel.com>

Add missing newlines for rendering the links correctly

* diffusers==0.14.0 update

* custom diffusion update

* custom diffusion update

* custom diffusion update

* custom diffusion update

* custom diffusion update

* custom diffusion update

* custom diffusion

* custom diffusion

* custom diffusion

* custom diffusion

* custom diffusion

* apply formatting and get rid of bare except.

* refactor readme and other minor changes.

* misc refactor.

* fix: repo_id issue and loaders logging bug.

* fix: save_model_card.

* fix: save_model_card.

* fix: save_model_card.

* add: doc entry.

* refactor doc,.

* custom diffusion

* custom diffusion

* custom diffusion

* apply style.

* remove tralining whitespace.

* fix: toctree entry.

* remove unnecessary print.

* custom diffusion

* custom diffusion

* custom diffusion test

* custom diffusion xformer update

* custom diffusion xformer update

* custom diffusion xformer update

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Co-authored-by: Nupur Kumari <nupurkumari@Nupurs-MacBook-Pro.local>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Nupur Kumari <nupurkumari@nupurs-mbp.wifi.local.cmu.edu>