GitLab

* debig

* cast tuples to lists.

* debug

* handle upcast attention

* handle downblock types for vae.

* remove print.

* address Dhruv's comments.

* fix: upblock types.

* upcast attention

* debug

* debug

* debug

* better guarding.

* style

* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.

* Update src/diffusers/models/unet_2d_blocks.py

This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/models/unet_2d_blocks.py

Add suggested text
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update unet_2d_blocks.py

I changed the Parameter to Args text.

* Update unet_2d_blocks.py

proper indentation set in this file.

* Update unet_2d_blocks.py

a little bit of change in the act_fun argument line.

* I run the black command to reformat style in the code

* Update unet_2d_blocks.py

similar doc-string add to have in the original diffusion repository.

* Fix bug for mention in this issue section #6901

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

* Fix linter

* Restore empty line

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* make mid block optional for flax UNet

* make style

* fix: save_model_card utility.

* fix a little more to make it more lenient.

* remove lower()

* copied from for t2i pipelines without ip adapter support.

* two more pipelines with proper copied from comments.

* revert to the original implementation

* debug

* checking

* fix more

* remove device.

* fix-copies

* throw error when patch inputs and layernorm are provided for transformers2d.

* add comment on supported norm_types in transformers2d

* more check

* fix: norm _type handling

* tips

* feedback

* callback only

* use self.device

* use device

* fix

* fix

* merge loras

* feedback

* torch.compile

* feedback

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

update

* fix: support for loading playground v2.5 single file checkpoint.

* remove is_playground_model.

* fix: edm key

* apply Dhruv's comments but errors.

* fix: things.

* delegate model_type inference to a function.

* address Dhruv's comment.

* address rest of the comments.

* fix: kwargs

* fix

* update

---------
Co-authored-by: DN6 <dhruv.nair@gmail.com>

fix: prior preservation setting in DreamBooth LoRA SDXL script.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

fix: remove duplicate code in TemporalBasicTransformerBlock.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* dora in canonical script

* add mention of DoRA to readme

refactor: inherit from DiffusionPipeline instead of StableDiffusionPipeline

move out the utilities from pipeline_utils.py

adding the type gives you

```
TypeError: _StoreTrueAction.__init__() got an unexpected keyword argument 'type'
```

* initial diffNext v3

* move to v3 folder

* imports

* dry up the unets

* no switch_level

* fix init

* add switch_level tp config

* Fixed some things

* Added pooled text embeddings

* Initial work on adding image encoder

* changes from @dome272

* Stuff for the image encoder processing and variable naming in decoder

* fix arg name

* inference fixes

* inference fixes

* default TimestepBlock without conds

* c_skip=0 by default

* fix bfloat16 to cpu

* use config

* undo temp change

* fix gen_c_embeddings args

* change text encoding

* text encoding

* undo print

* undo .gitignore change

* Allow WuerstchenV3PriorPipeline to use the base DDPM & DDIM schedulers

* use WuerstchenV3Unet in both pipelines

* fix imports

* initial failing tests

* cleanup

* use scheduler.timesterps

* some fixes to the tests, still not fully working

* fix tests

* fix prior tests

* add dropout to the model_kwargs

* more tests passing

* update expected_slice

* initial rename

* rename tests

* rename class names

* make fix-copies

* initial docs

* autodocs

* typos

* fix arg docs

* add text_encoder info

* combined pipeline has optional image arg

* fix documentation

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

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

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* use self.config

* Update src/diffusers/pipelines/stable_cascade/modeling_stable_cascade_common.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* c_in -> in_channels

* removed kwargs from unet's forward

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* remove older callback api

* removed kwargs and fixed decoder guidance > 1

* decoder takes emeds

* check and use image_embeds

* fixed all but one decoder test

* fix decoder tests

* update callback api

* fix some more combined tests

* push combined pipeline

* initial docs

* fix doc_string

* update combined api

* no test_callback_inputs test for combined pipeline

* add optional components

* fix ordering of components

* fix combined tests

* update convert script

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix imports

* move effnet out of deniosing loop

* prompt_embeds_pooled only when doing guidance

* Fix repeat shape

* move StableCascadeUnet to models/unets/

* more descriptive names

* converted when numpy()

* StableCascadePriorPipelineOutput docs

* rename StableCascadeUNet

* add slow tests

* fix slow tests

* update

* update

* updated model_path

* add args for weights

* set push_to_hub to false

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

---------
Co-authored-by: Dominic Rampas <d6582533@gmail.com>
Co-authored-by: Pablo Pernias <pablo@pernias.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* [bug] Fix float/int guidance scale not working in `StableVideoDiffusionPipeline`

* Add test to disable CFG on SVD

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* support and example launch for sdxl turbo

* White space fixes

* Trailing whitespace character

* ruff format

* fix guidance_scale and steps for turbo mode

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Radames Ajna <radamajna@gmail.com>

* add: support TCD scheduler


---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Create promptdiffusioncontrolnet.py

* Update __init__.py

Added PromptDiffusionControlNetModel

* Update __init__.py

Added PromptDiffusionControlNetModel

* Update promptdiffusioncontrolnet.py

* Create pipeline_prompt_diffusion.py

Added Prompt Diffusion pipeline.

* Create convert_original_promptdiffusion_to_diffusers.py

* Update convert_from_ckpt.py

Added download_promptdiffusion_from_original_ckpt, convert_promptdiffusion_checkpoint

* Update promptdiffusioncontrolnet.py

* Update pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Delete src/diffusers/models/promptdiffusioncontrolnet.py

* Update __init__.py

* Update __init__.py

* Delete scripts/convert_original_promptdiffusion_to_diffusers.py

* Update convert_from_ckpt.py

* Update README.md

* Delete examples/community/pipeline_prompt_diffusion.py

* Create README.md

* Create promptdiffusioncontrolnet.py

* Create convert_original_promptdiffusion_to_diffusers.py

* Create pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Update convert_original_promptdiffusion_to_diffusers.py

* Update promptdiffusioncontrolnet.py

* Update README.md

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

errors should be caught as soon as possible.

Update callback.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update svd docs

* fix example doc string

* update return type hints/docs

* update type hints

* Fix typos in pipeline_stable_video_diffusion.py

* make style && make fix-copies

* Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update based on suggestion

---------
Co-authored-by: M. Tolga Cangöz <mtcangoz@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Enable FakeTensorMode for EulerDiscreteScheduler scheduler

PyTorch's FakeTensorMode does not support `.numpy()` or `numpy.array()`
calls.

This PR replaces `sigmas` numpy tensor by a PyTorch tensor equivalent

Repro

```python
with torch._subclasses.FakeTensorMode() as fake_mode, ONNXTorchPatcher():
    fake_model = DiffusionPipeline.from_pretrained(model_name, low_cpu_mem_usage=False)
```

that otherwise would fail with
`RuntimeError: .numpy() is not supported for tensor subclasses.`

* Address comments

* Fix typos

* Fix typos

* Fix typos and update documentation in lora.md

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix

* fix

* update comment

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add dora tags for drambooth lora scripts

* style

update
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add is_dora arg

* style

* add dora training feature to sd 1.5 script

* added notes about DoRA training

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Internal message: https://huggingface.slack.com/archives/C03Q18WK18T/p1709529892062479

* refactor callback

* run make style

* add copy

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

more elaborate example for peft torch.compile

* feat: add ip adapter benchmark

* sdxl support too.

* Empty-Commit

* initial

* check_inputs fix to the rest of pipelines

* add fix for no cfg too

* use of variable

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* feat 256px diffusers inference bug

* change the max_length of T5 to pipeline config file

* fix bug in convert_pixart_alpha_to_diffusers.py

* Update scripts/convert_pixart_alpha_to_diffusers.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* remove multi_scale_train parser

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* styling

* change `model_token_max_length` to call argument.

* Refactoring

* add: max_sequence_length to the docstring.

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>