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This is to ensure that the final latent slices stay somewhat consistent as more changes are introduced into the library.
Signed-off-by: James R T <jamestiotio@gmail.com>
Signed-off-by: James R T <jamestiotio@gmail.com>

* Swap fp16 error to warning

Also remove the associated test

* Formatting

* warn -> warning

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

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

[Tests] Lower required memory for clip guided and fix super edge-case git pipeline module bug (#754)

* [Tests] Lower required memory

* fix

* up

* uP

* [Custom Pipelines]

* uP

* make style

* finish

* finish

* remove ipdb

* upload

* fix

* finish docs

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

* finish

* final uploads

* remove unnecessary test
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: apolinario <joaopaulo.passos@gmail.com>

* use_deterministic_algorithms  for grad ckpt test

* remove eval

* Apply suggestions from code review

* Update tests/test_models_unet.py

* Raise an error when moving an fp16 pipeline to CPU

* Raise an error when moving an fp16 pipeline to CPU

* style

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

* Update src/diffusers/pipeline_utils.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Improve the message

* cuda

* Update tests/test_pipelines.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* compute text embeds per prompt

* don't repeat uncond prompts

* repeat separatly

* update image2image

* fix repeat uncond embeds

* adapt inpaint pipeline

* ifx uncond tokens in img2img

* add tests and fix ucond embeds in im2img and inpaint pipe

* up

* uP

* uP

* make style

* Apply suggestions from code review

* up

* finish

* Removing `autocast` for `35-25% speedup`.

* iQuality

* Adding a slow test.

* Fixing mps noise generation.

* Raising error on wrong device, instead of just casting on behalf of user.

* Quality.

* fix merge
Co-authored-by: Nouamane Tazi <nouamane98@gmail.com>

* init

* improve add_noise

* [debug start] run slow test

* [debug end]

* quick revert

* Add docstrings and warnings + API tests

* Make the warning less spammy

* pytorch timesteps

* style

* get rid of if-else

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

* add accelerate to load models with smaller memory footprint

* remove low_cpu_mem_usage as it is reduntant

* move accelerate init weights context to modelling utils

* add test to ensure results are the same when loading with accelerate

* add tests to ensure ram usage gets lower when using accelerate

* move accelerate logic to single snippet under modelling utils and remove it from configuration utils

* format code using to pass quality check

* fix imports with isor

* add accelerate to test extra deps

* only import accelerate if device_map is set to auto

* move accelerate availability check to diffusers import utils

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

* [Utils] Add deprecate function

* up

* up

* uP

* up

* up

* up

* up

* uP

* up

* fix

* up

* move to deprecation utils file

* fix

* fix

* fix more

* [CI] Localize the HF cache

* pip cache

* de-env

* refactor matrix

* fix fast cache

* less onnx steps

* revert

* revert pip cache

* revert pip cache

* remove debugging trigger

* Add callback parameters for Stable Diffusion pipelines
Signed-off-by: James R T <jamestiotio@gmail.com>

* Lint code with `black --preview`
Signed-off-by: James R T <jamestiotio@gmail.com>

* Refactor callback implementation for Stable Diffusion pipelines

* Fix missing imports
Signed-off-by: James R T <jamestiotio@gmail.com>

* Fix documentation format
Signed-off-by: James R T <jamestiotio@gmail.com>

* Add kwargs parameter to standardize with other pipelines
Signed-off-by: James R T <jamestiotio@gmail.com>

* Modify Stable Diffusion pipeline callback parameters
Signed-off-by: James R T <jamestiotio@gmail.com>

* Remove useless imports
Signed-off-by: James R T <jamestiotio@gmail.com>

* Change types for timestep and onnx latents

* Fix docstring style

* Return decode_latents and run_safety_checker back into __call__

* Remove unused imports

* Add intermediate state tests for Stable Diffusion pipelines
Signed-off-by: James R T <jamestiotio@gmail.com>

* Fix intermediate state tests for Stable Diffusion pipelines
Signed-off-by: James R T <jamestiotio@gmail.com>
Signed-off-by: James R T <jamestiotio@gmail.com>

* Allow resolutions that are not multiples of 64

* ran black

* fix bug

* add test

* more explanation

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

* lowe tolerance

* put model in eval mode

* Fix the LMS pytorch regression

* Copy over the changes from #637

* Copy over the changes from #637

* Fix betas test

* pytorch only schedulers

* fix style

* remove match_shape

* pytorch only ddpm

* remove SchedulerMixin

* remove numpy from karras_ve

* fix types

* remove numpy from lms_discrete

* remove numpy from pndm

* fix typo

* remove mixin and numpy from sde_vp and ve

* remove remaining tensor_format

* fix style

* sigmas has to be torch tensor

* removed set_format in readme

* remove set format from docs

* remove set_format from pipelines

* update tests

* fix typo

* continue to use mixin

* fix imports

* removed unsed imports

* match shape instead of assuming image shapes

* remove import typo

* update call to add_noise

* use math instead of numpy

* fix t_index

* removed commented out numpy tests

* timesteps needs to be discrete

* cast timesteps to int in flax scheduler too

* fix device mismatch issue

* small fix

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

fix formula for noise levels in karras scheduler and tests

* add grad ckpt to downsample blocks

* make it work

* don't pass gradient_checkpointing to upsample block

* add tests for UNet2DConditionModel

* add test_gradient_checkpointing

* add gradient_checkpointing for up and down blocks

* add functions to enable and disable grad ckpt

* remove the forward argument

* better naming

* make supports_gradient_checkpointing private

* Add the K-LMS scheduler to the inpainting pipeline + tests

* Remove redundant casts

* Fix BaseOutput initialization from dict

* style

* Simplify post-init, add tests

* remove debug

* [Tests] Mark the ncsnpp model tests as slow

* style

* make_reports

* add test utils

* style

* style

* Unify offset configuration in DDIM and PNDM schedulers

* Format

Add missing variables

* Fix pipeline test

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

* Default set_alpha_to_one to false

* Format

* Add tests

* Format

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

* [Download] Smart downloading

* add test

* finish test

* update

* make style

* [WIP] add LMSDiscreteSchedulerTest

* fixes for comments

* add torch numpy test

* rebase

* Update tests/test_scheduler.py

* Update tests/test_scheduler.py

* style

* return residuals
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* Quick fix for the img2img tests

* Remove debug lines

* Fix typos

* Add a typo check action

* Fix a bug

* Changed to manual typo check currently

Ref: https://github.com/huggingface/diffusers/pull/483#pullrequestreview-1104468010

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Removed a confusing message

* Renamed "nin_shortcut" to "in_shortcut"

* Add memo about NIN
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Finally fix the image-based SD tests

* Remove autocast

* Remove autocast in image tests

* add test for AttentionBlock, SpatialTransformer

* add context_dim, handle device

* removed dropout test

* fixes, add dropout test

* pass norm_num_groups to unet blocs and attention

* fix UNet2DConditionModel

* add norm_num_groups arg in vae

* add tests

* remove comment

* Apply suggestions from code review

* beta never changes removed from state

* fix typos in docs

* removed unused var

* initial ddim flax scheduler

* import

* added dummy objects

* fix style

* fix typo

* docs

* fix typo in comment

* set return type

* added flax ddom

* fix style

* remake

* pass PRNG key as argument and split before use

* fix doc string

* use config

* added flax Karras VE scheduler

* make style

* fix dummy

* fix ndarray type annotation

* replace returns a new state

* added lms_discrete scheduler

* use self.config

* add_noise needs state

* use config

* use config

* docstring

* added flax score sde ve

* fix imports

* fix typos

* initial attempt at solving

* fix pndm power of 3 inference_step

* add power of 3 test

* fix index in pndm test, remove ddim test

* add comments, change to round()