GitLab

Small update to "Next steps" section:

- PyTorch 2 is recommended.
- Updated improvement figures.

* Add DPM-Solver Multistep Inverse Scheduler

* Add draft tests for DiffEdit

* Add inverse sde-dpmsolver steps to tune image diversity from inverted latents

* Fix tests

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

* refactor controlnet and add img2img and inpaint

* First draft to get pipelines to work

* make style

* Fix more

* Fix more

* More tests

* Fix more

* Make inpainting work

* make style and more tests

* Apply suggestions from code review

* up

* make style

* Fix imports

* Fix more

* Fix more

* Improve examples

* add test

* Make sure import is correctly deprecated

* Make sure everything works in compile mode

* make sure authorship is correctly attributed

* Fix style rendering.

* Fix typo

* add: benchmarking stats for A100 and V100.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* address patrick's comments.

* add: rtx 4090 stats

* ⚔

 benchmark reports done

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* 3313 pr link.

* add: plots.
Co-authored-by: Pedro <pedro@huggingface.co>

* fix formattimg

* update number percent.

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

add transformers to install

Fix typo in last code block. Correct "prommpts" to "prompt"

* safetensors

* apply feedback

* apply feedback

* Apply suggestions from code review

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

* first draft

* apply feedback

* conv_in.weight thrown away

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

* update docs

* add to toctree

* apply feedback

fixed import statement

* fix: scale_lr and sync example readme and docs.

* fix doc link.

add link to training script
Co-authored-by: yiyixuxu <yixu@yis-macbook-pro.lan>

* 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 b218062fed08d6cc164206d6cb852b2b7b00847a.

* 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

* Update Dreambooth README

* Adapt all docs as well

* automatically write model card

* fix

* make style

Fix typos

* 👽

 qol improvements for LoRA.

* better function name?

* fix: LoRA weight loading with the new format.

* address Patrick's comments.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* change wording around encouraging the use of load_lora_weights().

* fix: function name.

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

* [docs] add notes for stateful model changes

* Update docs/source/en/optimization/fp16.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* link to accelerate docs for discarding hooks

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

Co-authored-by: yiyixuxu <yixu@yis-macbook-pro.lan>

The pipeline is built as `pipe` but then used as `pipeline`.

Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

Update repaint.mdx

accomodate to #1701

* [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]

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

* [docs] only mention one stage

* add blurb on auto accepting

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

* [AudioLDM] Update docs to use updated ckpt

* make style

* add document on token merging.

* fix headline.

* fix: headline.

* add some samples for comparison.

* 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

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

Add v1.1 docs

* 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

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

* clarify training arg

* apply feedback

* Update custom_diffusion.mdx

* fix: unnecessary list comprehension.

deterministic algos

* 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./

Add missing newlines for rendering the links correctly