GitLab

* remove torch_dtype from to()

* remove torch_dtype from usage scripts.

* remove old lora backend

* Revert "remove old lora backend"

This reverts commit adcddf6ba421f847e7da2a0ce57b9456cae43356.

* remove _to_tensor

* remove _to_tensor definition

* remove _collapse_frames_into_batch

* remove lora for not bloating the code.

* remove sample_size.

* simplify code a bit more

* ensure timesteps are always in tensor.

update

* update

* update

* update

* Update src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update

* update

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

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

move sigma to device
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Alvaro Somoza <somoza.alvaro@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update

* update

* updaet

* add tests and docs

* clean up

* add to toctree

* fix copies

* pr review feedback

* fix copies

* fix tests

* update docs

* update

* update

* update docs

* update

* update

* update

* update

* move transformer scripts to transformers modules

* move transformer model test

* move prior transformer test to  directory

* fix doc path

* correct doc path

* add: __init__.py

Change os.path to pathlib

* feat: explicitly tag to diffusers when using push_to_hub

* remove tags.

* reset repo.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix: tests

* fix: push_to_hub behaviour for tagging from save_pretrained

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* import fixes.

* add library name to existing model card.

* add: standalone test for generate_model_card

* fix tests for standalone method

* moved library_name to a better place.

* merge create_model_card and generate_model_card.

* fix test

* address lucain's comments

* fix return identation

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* address further comments.

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lucain <lucainp@gmail.com>

* begin animatediff img2video and video2video

* revert animatediff to original implementation

* add img2video as pipeline

* update

* add vid2vid pipeline

* update imports

* update

* remove copied from line for check_inputs

* update

* update examples

* add multi-batch support

* fix __init__.py files

* move img2vid to community

* update community readme and examples

* fix

* make fix-copies

* add vid2vid batch params

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* add test for animatediff vid2vid

* torch.stack -> torch.cat
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* make style

* docs for vid2vid

* update

* fix prepare_latents

* fix docs

* remove img2vid

* update README to :main

* remove slow test

* refactor pipeline output

* update docs

* update docs

* merge community readme from :main

* final fix i promise

* add support for url in animatediff example

* update example

* update callbacks to latest implementation

* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix merge

* Apply suggestions from code review

* remove callback and callback_steps as suggested in review

* Update tests/pipelines/animatediff/test_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix import error caused due to unet refactor in #6630

* fix numpy import error after tensor2vid refactor in #6626

* make fix-copies

* fix numpy error

* fix progress bar test

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update pipeline_controlnet_sd_xl.py

* Update pipeline_controlnet_xs_sd_xl.py

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update'

* update

* update

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* up

* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* up

* update

* update

* update

* update

* update'

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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* update

* update

* update

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* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* clean

* update

* update

* clean up

* clean up

* update

* clean

* clean

* update

* updaet

* clean up

* fix docs

* update

* update

* Revert "update"

This reverts commit dbfb8f1ea9c61a2b4e02f926245be2b3d387e577.

* update

* update

* update

* update

* fix controlnet

* fix scheduler

* fix controlnet tests

* update

* update

* update

* update

* update

* update

* update

* clean up

* clean up

* move unets to  module 🦋

* parameterize unet-level import.

* fix flax unet2dcondition model import

* models __init__

* mildly depcrecating models.unet_2d_blocks in favor of models.unets.unet_2d_blocks.

* noqa

* correct depcrecation behaviour

* inherit from the actual classes.

* Empty-Commit

* backwards compatibility for unet_2d.py

* backward compatibility for unet_2d_condition

* bc for unet_1d

* bc for unet_1d_blocks

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

* - extract function for stage in UNet2DConditionModel init & forward
- Add new function get_mid_block() to unet_2d_blocks.py

* add type hint to get_mid_block aligned with get_up_block and get_down_block; rename _set_xxx function

* add type hint and  use keyword arguments

* remove `copy from` in versatile diffusion

Update convert_from_ckpt.py / read config yaml contents

Added missing reading of config yaml file contents

* freeinit

* update freeinit implementation based on review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* fix

* another fix

* refactor

* fix timesteps missing bug

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* add test for freeinit

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* refactor

* fix test

* fix tensor not on same device

* update

* remove return_intermediate_results

* fix broken freeinit test

* update animatediff docs

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

[Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline` (#6334)

* [Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline`.

* Refactor `check_inputs` in `StableDiffusionControlNetPipeline` to avoid redundant codes.

* Make the behavior of MultiControlNetModel to be the same to the original ControlNetModel

* Keep the code change minimum for nested list support

* Add fast test `test_inference_nested_image_input`

* Remove redundant check for nested image condition in `check_inputs`

Remove `len(image) == len(prompt)` check out of `check_image()`
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Better `ValueError` message for incompatible nested image list size
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Fix syntax error in `check_inputs`

* Remove warning message for multi-ControlNets with multiple prompts

* Fix a typo in test_controlnet.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Add test case for multiple prompts, single image conditioning in `StableDiffusionMultiControlNetPipelineFastTests`

* Improved `ValueError` message for nested `controlnet_conditioning_scale`

* Documenting the behavior of image list as `StableDiffusionControlNetPipeline` input

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

[SVD] Fix output_type="np"

* 🐛 fix ip-adapter controlnet img2img missing code

* 📝 edit test

* 📝 edit test

* 📝 run make style and quality

* 🎨 remove slow tests

Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline (#6581)

* Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline

* Ensure that validation is performed at every 'validation_step', not at every step

* remove omegaconf from convert_from_ckpt.

* remove from single_file.

* change to string based ubscription.

* style

* okay

* fix: vae_param

* no . indexing.

* style

* style

* turn getattrs into explicit if/else

* style

* propagate changes to ldm_uncond.

* propagate to gligen

* propagate to if.

* fix: quotes.

* propagate to audioldm.

* propagate to audioldm2

* propagate to musicldm.

* propagate to vq_diffusion

* propagate to zero123.

* remove omegaconf from diffusers codebase.

* debug generator

* fix?

* fix?

* fix

* remove print.

* revert none check

* Added testing notebook and .load_ip_adapter to XLAdapterPipeline

* Added annotations

* deleted testing notebook

* Update src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_xl_adapter.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* code clean up

* Add feature_extractor and image_encoder to components

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

* add IP-Adapter to StableDiffusionXLControlNetImg2ImgPipeline

Update src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

fix tests

* fix failing test

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

fix: vae type

* finish

* finish

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

* introduce integrations module.

* remove duplicate methods.

* better imports.

* move to loaders.py

* remove peftadaptermixin from modelmixin.

* add: peftadaptermixin selectively.

* add: entry to _toctree

* Empty-Commit

Correctly handle creating model index json files when setting compiled modules in pipelines.  (#6436)

update

* introduce unload_lora.

* fix-copies

* Respect offline mode when loading model

* default to local entry if connectionerror

* handle rest of the stuff related to deprecated lora stuff.

* fix: copies

* don't modify the uNet in-place.

* fix: temporal autoencoder.

* manually remove lora layers.

* don't copy unet.

* alright

* remove lora attn processors from unet3d

* fix: unet3d.

* styl

* Empty-Commit

* add StableDiffusionXLControlNetInpaintPipeline to auto pipeline

* fixed style