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Flagged images would be set to the blank image instead of the original image that contained the NSF concept for optional viewing.
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* negative_prompt typo

* fix

* Fix timestep dtype in legacy inpaint

This matches the structure in the text2img, img2img, and inpaint ONNX pipelines

* Fix style in dtype patch

scheduling_ddpm: fix variance in the case of learned_range type.

In the case of learned_range variance type, there are missing logs
and exponent comparing to the theory (see "Improved Denoising Diffusion
Probabilistic Models" section 3.1 equation 15:
https://arxiv.org/pdf/2102.09672.pdf).

* up

* finish

The dimension does not match when `inner_dim` is not equal to `in_channels`.

-- This commit adopts `requests` in place of `wget` to fetch config `.yaml`
   files as part of `load_pipeline_from_original_stable_diffusion_ckpt` API.
-- This was done because in Windows PowerShell one needs to explicitly ensure
   that `wget` binary is part of the PATH variable. If not present, this leads
   to the code not being able to download the `.yaml` config file.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
Co-authored-by: Abhishek Varma <abhishek@nod-labs.com>

* fix legacy inpaint noise and resize mask tensor

* updated legacy inpaint pipe test expected_slice

scheduling_ddpm: fix evaluate with lower timesteps count than train.
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Fix typo in accelerate and transformers versions.

Possible typo introduced in 7c82a16f

Don't call the Hub if

Fix typo in loaders.py

* [LoRA] All to use in inference with pipeline

* [LoRA] allow cross attention kwargs passed to pipeline

* finish

* fuse attention mask

* lint

* use 0 beta when no attention mask re: @Birch-san

* fix PosixPath is not JSON serializable

* use PosixPath

* forgot elif like a dummy

* make scaling factor cnfig arg of vae

* fix

* make flake happy

* fix ldm

* fix upscaler

* qualirty

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* solve conflicts, addres some comments

* examples

* examples min version

* doc

* fix type

* typo

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* remove duplicate line

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Allow `UNet2DModel` to use arbitrary class embeddings.

We can currently use class conditioning in `UNet2DConditionModel`, but
not in `UNet2DModel`. However, `UNet2DConditionModel` requires text
conditioning too, which is unrelated to other types of conditioning.
This commit makes it possible for `UNet2DModel` to be conditioned on
entities other than timesteps. This is useful for training /
research purposes. We can currently train models to perform
unconditional image generation or text-to-image generation, but it's not
straightforward to train a model to perform class-conditioned image
generation, if text conditioning is not required.

We could potentiall use `UNet2DConditionModel` for class-conditioning
without text embeddings by using down/up blocks without
cross-conditioning. However:
- The mid block currently requires cross attention.
- We are required to provide `encoder_hidden_states` to `forward`.

* Style

* Align class conditioning, add docstring for `num_class_embeds`.

* Copy docstring to versatile_diffusion UNetFlatConditionModel

* [Bump version] 0.13

* Bump model up

* up

* make tests deterministic

* run slow tests

* prepare for testing

* finish

* refactor

* add print statements

* finish more

* correct some test failures

* more fixes

* set up to correct tests

* more corrections

* up

* fix more

* more prints

* add

* up

* up

* up

* uP

* uP

* more fixes

* uP

* up

* up

* up

* up

* fix more

* up

* up

* clean tests

* up

* up

* up

* more fixes

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

* make

* correct

* finish

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

* add text embeds to sd

* add text embeds to sd

* finish tests

* finish

* finish

* make style

* fix tests

* make style

* make style

* up

* better docs

* fix

* fix

* new try

* up

* up

* finish

update example for pix2pix

* allow passing op to xFormers attention

original code by @patil-suraj
huggingface/diffusers@ae0cc0b71f28c0f2c5c27026b18f1bea98b505f1

* correct style by `make style`

* add attention_op arg documents

* add usage example to docstring
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add usage example to docstring
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* code style correction by `make style`

* Update docstring code to a valid python example
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Update docstring code to a valid python example
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* style correction by `make style`

* Update code exmaple to fully functional
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* [Paint by example] Fix paint by example

* fix more

* final fix

* [From pretrained] Don't download .safetensors files if safetensors is not available

* tests

* tests

* up

* convert __main__ to a function call and call it

* add missing type hint

* make style check pass

* move loading to src/diffusers
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Switch to huggingface_hub.ModelCard

* Remove modelcards dependency in favor of Jinja2

* being pix2pix

* ifx

* cfg image_latents

* fix some docstr

* fix

* fix

* hack

* fix

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

* add comments to explain the hack

* move __call__ to the top

* doc

* remove height and width

* remove depreications

* fix doc str

* quality

* fast tests

* chnage model id

* fast tests

* fix test

* address Pedro's comments

* copyright

* Simple doc page.

* Apply suggestions from code review

* style

* Remove import

* address some review comments

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

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