GitLab

* load and save dduf archive

* style

* switch to zip uncompressed

* updates

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* first draft

* remove print

* switch to dduf_file for consistency

* switch to huggingface hub api

* fix log

* add a basic test

* Update src/diffusers/configuration_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix

* fix variant

* change saving logic

* DDUF - Load transformers components manually (#10171)

* update hfh version

* Load transformers components manually

* load encoder from_pretrained with state_dict

* working version with transformers and tokenizer !

* add generation_config case

* fix tests

* remove saving for now

* typing

* need next version from transformers

* Update src/diffusers/configuration_utils.py
Co-authored-by: Lucain <lucain@huggingface.co>

* check path corectly

* Apply suggestions from code review
Co-authored-by: Lucain <lucain@huggingface.co>

* udapte

* typing

* remove check for subfolder

* quality

* revert setup changes

* oups

* more readable condition

* add loading from the hub test

* add basic docs.

* Apply suggestions from code review
Co-authored-by: Lucain <lucain@huggingface.co>

* add example

* add

* make functions private

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* minor.

* fixes

* fix

* change the precdence of parameterized.

* error out when custom pipeline is passed with dduf_file.

* updates

* fix

* updates

* fixes

* updates

* fix xfail condition.

* fix xfail

* fixes

* sharded checkpoint compat

* add test for sharded checkpoint

* add suggestions

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

* from suggestions

* add class attributes to flag dduf tests

* last one

* fix logic

* remove comment

* revert changes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Lucain <lucain@huggingface.co>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Added support for IP-Adapter

* Fixed Copied inconsistency

add Sana to auto-text2image-pipeline;

* Fix Nightly AudioLDM2PipelineFastTests

* add phonemizer to setup extras test

* fix

* make style

update

* improve flux true cfg condition

* add test

* add negative_prompt documentation.

* add proper docs for negative prompts

* fix-copies

* remove comment.

* Apply suggestions from code review
Co-authored-by: hlky <hlky@hlky.ac>

* fix-copies

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Co-authored-by: hlky <hlky@hlky.ac>

`torch.randn` requires `generator` and `latents` on the same device, while the wrapped function `randn_tensor` does not have this issue.

* autoencoder_dc tiling

* add tiling and slicing support in SANA pipelines

* create variables for padding length because the line becomes too long

* add tiling and slicing support in pag SANA pipelines

* revert changes to tile size

* make style

* add vae tiling test

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Co-authored-by: Aryan <aryan@huggingface.co>

* Use Pipelines without unet

* unet.config.in_channels

* default_sample_size

* is_unet_version_less_0_9_0

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

* dont assume scheduler has optional config params

* make style, make fix-copies

* calculate_shift

* fix-copies, usage in pipelines

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Co-authored-by: hlky <hlky@hlky.ac>

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

add 4K support for Sana

* fix for #7365, prevent pipelines from overriding provided prompt embeds

* fix-copies

* fix implementation

* update

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Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>

* fix device issue in single gpu case

* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

change clean_caption from True to False.

* Use pipelines without vae

* getattr

* vqvae

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

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

fix

Regarding the RunwayML path for V1.5 did change to stable-diffusion-v1-5/[stable-diffusion-v1-5/ stable-diffusion-inpainting] (#10476)

* Update pipeline_controlnet.py

* Update pipeline_controlnet_img2img.py

runwayml Take-down so change all from to this
stable-diffusion-v1-5/stable-diffusion-v1-5

* Update pipeline_controlnet_inpaint.py

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* Update convert_blipdiffusion_to_diffusers.py

style change

* Add torch_xla and from_single_file to instruct-pix2pix

* StableDiffusionInstructPix2PixPipelineSingleFileSlowTests

* StableDiffusionInstructPix2PixPipelineSingleFileSlowTests

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

* LEditsPP - examples, check height/width, add tiling/slicing

* make style

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

Fix AutoPipeline `from_pipe` where source pipeline is missing target pipeline's optional components (#10400)

* Optional components in AutoPipeline

* missing_modules

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

fix attribute adjustment for ltx.

* IP-Adapter support for `StableDiffusion3ControlNetPipeline`

* Update src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

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Co-authored-by: hlky <hlky@hlky.ac>

SD3 pipelines hasattr

[Add] torch_xla support in pipeline_sana.py

* Add torch_xla support to pipeline_aura_flow.py

* make style

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Co-authored-by: hlky <hlky@hlky.ac>

* update

* make style

* update

* update

* update

* make style

* single file related changes

* update

* fix

* update single file urls and docs

* update

* fix

* fix the Positinoal Embedding bug in 2K model;

* Change the default model to the BF16 one for more stable training and output

* make style

* substract buffer size

* add compute_module_persistent_sizes

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

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

update docs and example to use community weights

* flux controlnet inpaint config bug

* Update src/diffusers/pipelines/flux/pipeline_flux_controlnet_inpainting.py

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Co-authored-by: yigitozgenc <yigit@quantuslabs.ai>
Co-authored-by: hlky <hlky@hlky.ac>

* Flux IP-Adapter

* test cfg

* make style

* temp remove copied from

* fix test

* fix test

* v2

* fix

* make style

* temp remove copied from

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Move encoder_hid_proj to inside FluxTransformer2DModel

* merge

* separate encode_prompt, add copied from, image_encoder offload

* make

* fix test

* fix

* Update src/diffusers/pipelines/flux/pipeline_flux.py

* test_flux_prompt_embeds change not needed

* true_cfg -> true_cfg_scale

* fix merge conflict

* test_flux_ip_adapter_inference

* add fast test

* FluxIPAdapterMixin not test mixin

* Update pipeline_flux.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

[BUG FIX] [Stable Audio Pipeline] Resolve torch.Tensor.new_zeros() TypeError in function prepare_latents caused by audio_vae_length (#10306)

[BUG FIX] [Stable Audio Pipeline] TypeError: new_zeros(): argument 'size' failed to unpack the object at pos 3 with error "type must be tuple of ints,but got float"

torch.Tensor.new_zeros() takes a single argument size (int...) – a list, tuple, or torch.Size of integers defining the shape of the output tensor.

in function prepare_latents:
audio_vae_length = self.transformer.config.sample_size * self.vae.hop_length
audio_shape = (batch_size // num_waveforms_per_prompt, audio_channels, audio_vae_length)
...
audio = initial_audio_waveforms.new_zeros(audio_shape)

audio_vae_length evaluates to float because self.transformer.config.sample_size returns a float
Co-authored-by: hlky <hlky@hlky.ac>

Update pipeline_hunyuan_video.py

docs: fix a mistake

* Added support for single IPAdapter on SD3.5 pipeline



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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Port UNet2DModel gradient checkpointing code from #6718.


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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Vincent Neemie <92559302+VincentNeemie@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>