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Small changes to Philosophy.

* karras-ve docs

for issue #293

* make style

* initial score_sde_ve docs

* fixed typo

* fix VE term

* up

* up

* finish

* uP

* better

* up

* finish

* up

* ddim docs

for issue #293

* space

Add mps documentation.

for issue  #293

* Update text_inversion.mdx

Getting in a bit of background info

* fixed typo mode -> model

* Link SD and re-write a few bits for clarity

* Copied in info from the example script

As suggested by surajpatil :)

* removed an unnecessary heading

up

* initial ddpm

for issue #293

* initial ddpm pipeline doc

* added docstrings

* Update docs/source/api/pipelines/ddpm.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* make style

* fix docs

* make style

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

* initial description

* add doc strings

Add contribution.mdx by copy/pasting and adapting.

* up

* up

* up

* up

* up

* up

* up

fix saving embeds

* up

* add tests

* correct

* up

* finish

* better naming

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

Use `expand` instead of ones to broadcast tensor.

As suggested by @bes-dev. According the documentation this shouldn't
take any memory - it just plays with the strides.

move to fp16, update ddim

* [Type Hint] VAE models

* Update src/diffusers/models/vae.py

* apply suggestions from code review
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* [Type hint] scheduling karras ve

* [Type hint] scheduling lms discrete

* type hints: models/vae.py

* modify typings in vae.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* type hints

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* add outputs for models

* add for pipelines

* finish schedulers

* better naming

* adapt tests as well

* replace dict access with . access

* make schedulers works

* finish

* correct readme

* make  bcp compatible

* up

* small fix

* finish

* more fixes

* more fixes

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

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

* Adapt model outputs

* Apply more suggestions

* finish examples

* correct
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* package `version` on main should have `.dev0` suffix

package `version` on main should have `.dev0` suffix, which is the convention followed in transformers [here](https://github.com/huggingface/transformers/blob/main/setup.py#L403)

which will also make the docs built into `main` folder in [doc-build diffusers](https://github.com/huggingface/doc-build/tree/main/diffusers)

* dev version should be incremented

* Update version in `__init__.py`

use add_tokens

* [Type hint] scheduling ddim

* apply suggestions from code review

apply suggestions to also return the return type
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [Type Hints] VAE models

* apply suggestions from code review

apply suggestions to also return the return type

* [Type hint] PNDM Schedulers

* ran make style

* updated timesteps type hint

* apply suggestions from code review

* ran make style

* removed unused import

Update unet_blocks.py

fix typo

* [Commands] Add env command

* Apply suggestions from code review

uP

* add void check

* remove void, add types for params

* Use ONNX / Core ML compatible method to broadcast.

Unfortunately `tile` could not be used either, it's still not compatible
with ONNX.

See #284.

* Add comment about why broadcast_to is not used.

Also, apply style to changed files.

* Make sure broadcast remains in same device.