GitLab

* Switch to huggingface_hub.ModelCard

* Remove modelcards dependency in favor of Jinja2

* Create repo before cloning in examples

* code quality

* 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>

Fix

* improve EMA

* style

* one EMA model

* quality

* fix tests

* fix test

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

* re organise the unconditional script

* backwards compatibility

* default to init values for some args

* fix ort script

* issubclass => isinstance

* update state_dict

* docstr

* doc

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

* use .to if device is passed

* deprecate device

* make flake happy

* fix typo
Co-authored-by: patil-suraj <surajp815@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

correct safetensors

* [Lora] up lora training

* finish

* finish

* finish model card

fix typos and minor redundancies
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [Dit] Fix dit tests

* up

* [Lora] first upload

* add first lora version

* upload

* more

* first training

* up

* correct

* improve

* finish loaders and inference

* up

* up

* fix more

* up

* finish more

* finish more

* up

* up

* change year

* revert year change

* Change lines

* Add cloneofsimo as co-author.
Co-authored-by: Simo Ryu <cloneofsimo@gmail.com>

* finish

* fix docs

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

* upload

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

The link in the main heading needs to be rendered on the doc page. It displays the text as is.

* added dit model

* import

* initial pipeline

* initial convert script

* initial pipeline

* make style

* raise valueerror

* single function

* rename classes

* use DDIMScheduler

* timesteps embedder

* samples to cpu

* fix var names

* fix numpy type

* use timesteps class for proj

* fix typo

* fix arg name

* flip_sin_to_cos and better var names

* fix C shape cal

* make style

* remove unused imports

* cleanup

* add back patch_size

* initial dit doc

* typo

* Update docs/source/api/pipelines/dit.mdx
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* added copyright license headers

* added example usage and toc

* fix variable names asserts

* remove comment

* added docs

* fix typo

* upstream changes

* set proper device for drop_ids

* added initial dit pipeline test

* update docs

* fix imports

* make fix-copies

* isort

* fix imports

* get rid of more magic numbers

* fi...

* Check k-diffusion version is at least 0.0.12

* make style

* [Flax] Add Flax inpainting impl

* fixed copies, add README.md

* fixed README.md

* add test

* format

* update README.md

no more autocast

fix lr scheduler

* pndmpipeline uses pndmscheduler

* formatted pipeline_pndm

re: https://github.com/huggingface/diffusers/issues/1857

We relax some of the checks to deal with unclip reproducibility issues. Mainly by checking the average pixel difference (measured w/in 0-255) instead of the max pixel difference (measured w/in 0-1).

- [x] add mixin to UnCLIPPipelineFastTests
- [x] add mixin to UnCLIPImageVariationPipelineFastTests
- [x] Move UnCLIPPipeline flags in mixin to base class
- [x] Small MPS fixes for F.pad and F.interpolate
- [x] Made test unCLIP model's dimensions smaller to run tests faster

fix typos

* [Community] Fix merger

* finish

fix: support diffusers to safetensors

* test unet blocks 2d

* change to randn_tensor

* mps flaky

Fix a couple typos in Dreambooth readme.

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

* [Stable Diffusion Img2Img] resize source images to integer multiple of 8 instead of 32

* [Alt Diffusion Img2Img] resize source images to multiple of 8 instead of 32

* [Img2Img] fix AltDiffusion Img2Img resolution test

* [Img2Img] add Stable Diffusion Img2Img resolution test

* [Cycle Diffusion] round resolution to multiplies of 8 instead of 32

* [ONNX SD Img2Img] round resolution to multiplies of 64 instead of 32

* [SD Depth2Img] round resolution to multiplies of 8 instead of 32

* [Repaint] round resolution to multiplies of 8 instead of 32

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

* from_flax

* oops

* oops

* make style with pip install -e ".[dev]"

* oops

* now code quality happy 😋



* allow_patterns += FLAX_WEIGHTS_NAME

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

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

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

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

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

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

* for test

* bye bye is_flax_available()

* oops

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

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

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

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

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

* make style

* add test

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

Fix unused upcast_attn flag in sd to diffusers script

* [Slow tests] Fix tests

* Update tests/pipelines/karras_ve/test_karras_ve.py

* Example tests

* fix

* implemented multi subject dreambooth in research_projects

* minor edits to readme

* added style and quality fixes
Co-authored-by: Krista Opsahl-Ong <kristaopsahlong@gmail.com>

Update README.md

* [CPU offload] correct cpu offload

* [CPU offload] correct cpu offload

* finish

* finish

* Update docs/source/en/optimization/fp16.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

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

TypeError: Size should be int or sequence. Got <class 'dict'>