GitLab

Update unet_blocks.py

fix typo

* 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.

* Fix flake8 F401 '...' imported but unused

* One more F403

* Changed variable name from "h" to "hidden_states"

Per issue #198 , changed variable name from "h" to "hidden_states" in the forward function only. I am happy to change any other variable names, please advise recommended new names.

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

* [Examples readme]

* Improve

* more

* save

* save

* save more

* up

* up

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

* up

* make deterministic

* up

* better

* up

* add generator to img2img pipe

* save

* make pipelines deterministic

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* apply all changes

* more correctnios

* finish

* improve table

* more fixes

* up

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

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

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

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

* Update src/diffusers/pipelines/README.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* add better links

* fix more

* finish
Co-authored-by: Nathan Lambert <nathan@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* CleanResNet

* refactor more

* correct

remove dead code in resnet.py
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [Half precision] Make sure half-precision is correct

* Update src/diffusers/models/unet_2d.py

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

* correct some tests

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

* finalize

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

* pass downsample_padding in encoder

* update tests

add cross_attention_dim as an argument

* [Vae and AutoencoderKL clean]

* save intermediate finished work

* more progress

* more progress

* finish modeling code

* save intermediate

* finish

* Correct tests

* up

* change model name

* renaming

* more changes

* up

* up

* up

* save checkpoint

* finish api / naming

* finish config renaming

* rename all weights

* finish really

* Add a decorator for register_to_config

* All models and test

* big purge

* more fixes

* finish for now

* added kwargs for easier intialisation of random model

* initial commit for conversion script

* current debug script

* update

* Update

* done

* add updated debug conversion script

* style

* clean conversion script

* upload

* make checkpoint work

* finalize

* up

* more

* uP

* make dummy test pass

* save intermediate

* p

* p

* finish

* finish

* finish

* finish

* up

* up

* finish

* uP

* save intermediate

* up

* up

* up

* finished clean up

* remove @

* uP

* finish downsampling layers

* finish major refactor

* remove bugus file

* upload files

* finish

Finish

* Catch unused params in DDP

* Fix proj_out, add test

* update mid block

* finish mid block

* refactor fir up/down sample

* remove variance scaling

* remove variance scaling from unet sde

* refactor Linear

* style

* actually remove variance scaling

* add back upsample_2d, downsample_2d

* style

* fix FirUpsample2D

* make unet rl work

* uploaad files / code

* upload files

* make style correct

* finish

Remove unnecessary functions / classes