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explicit view kernel size as number elements in flattened indices

* distributed inference

* move to inference section

* apply feedback

* update with split_between_processes

* apply feedback

* add textual inversion inference to docs

* add to toctree

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* dreambooth docs torch.compile note

* Update examples/dreambooth/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/dreambooth/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Correct from_ckpt

* make style

* add inpaint lora scale support

* add inpaint lora scale test

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Co-authored-by: yueyang.hyy <yueyang.hyy@alibaba-inc.com>

add min snr to text2img lora training script

Release large tensors in attention (as soon as they're no longer required). Reduces peak VRAM by nearly 2 GB for 1024x1024 (even after slicing), and the savings scale up with image size.

* Make dreambooth lora more robust to orig unet

* up

* gradient checkpointing bug fix

* bug fix; changes for reviews

* reformat

* reformat

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

Added bugfix using f strings.

* Added explanation of 'strength' parameter

* Added get_timesteps function which relies on new strength parameter

* Added `strength` parameter which defaults to 1.

* Swapped ordering so `noise_timestep` can be calculated before masking the image

this is required when you aren't applying 100% noise to the masked region, e.g. strength < 1.

* Added strength to check_inputs, throws error if out of range

* Changed `prepare_latents` to initialise latents w.r.t strength

inspired from the stable diffusion img2img pipeline, init latents are initialised by converting the init image into a VAE latent and adding noise (based upon the strength parameter passed in), e.g. random when strength = 1, or the init image at strength = 0.

* WIP: Added a unit test for the new strength parameter in the StableDiffusionInpaintingPipeline

still need to add correct regression values

* Created a is_strength_max to initialise from pure random noise

* Updated unit tests w.r.t new strength parameter + fixed new strength unit test

* renamed parameter to avoid confusion with variable of same name

* Updated regression values for new strength test - now passes

* removed 'copied from' comment as this method is now different and divergent from the cpy

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Ensure backwards compatibility for prepare_mask_and_masked_image

created a return_image boolean and initialised to false

* Ensure backwards compatibility for prepare_latents

* Fixed copy check typo

* Fixes w.r.t backward compibility changes

* make style

* keep function argument ordering same for backwards compatibility in callees with copied from statements

* make fix-copies

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

* Update pipeline_if_superresolution.py

Allow arbitrary aspect ratio in IFSuperResolutionPipeline by using the input image shape

* IFSuperResolutionPipeline: allow the user to override the height and width through the arguments

* update IFSuperResolutionPipeline width/height doc string to match StableDiffusionInpaintPipeline conventions

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

Small update to "Next steps" section:

- PyTorch 2 is recommended.
- Updated improvement figures.

fix tiled vae bleand extent range

Fix incomplete docstrings for resnet.py

* 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

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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

* add stable diffusion tensorrt img2img pipeline
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* update docstrings
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

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Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

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

* 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.

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

* Replace `AttentionBlock` with `Attention`

* use _from_deprecated_attn_block check re: @patrickvonplaten

Update pr_tests.yml

* Add `sigmoid` beta scheduler to `DDPMScheduler` docstring

* Add `sigmoid` beta scheduler to `RePaintScheduler` docstring

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

* up

* up

* Improve checkpointing lora

* fix more

* Improve doc string

* Update src/diffusers/loaders.py

* make stytle

* Apply suggestions from code review

* Update src/diffusers/loaders.py

* Apply suggestions from code review

* Apply suggestions from code review

* better

* Fix all

* Fix multi-GPU dreambooth

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

* Fix all

* make style

* make style

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

Add omegaconfg

* [deepspeed] partial ZeRO-3 support

* cleanup

* improve deepspeed fixes

* Improve

* make style

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

add transformers to install