GitLab

Add a `disable_mmap` option to the `from_single_file` loader to improve load performance on network mounts (#10305)

* Add no_mmap arg.

* Fix arg parsing.

* Update another method to force no mmap.

* logging

* logging2

* propagate no_mmap

* logging3

* propagate no_mmap

* logging4

* fix open call

* clean up logging

* cleanup

* fix missing arg

* update logging and comments

* Rename to disable_mmap and update other references.

* [Docs] Update ltx_video.md to remove generator from `from_pretrained()` (#10316)

Update ltx_video.md to remove generator from `from_pretrained()`

* docs: fix a mistake in docstring (#10319)

Update pipeline_hunyuan_video.py

docs: fix a mistake

* [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>

* [docs] Fix quantization links (#10323)

Update overview.md

* [Sana]add 2K related model for Sana (#10322)

add 2K related model for Sana

* Update src/diffusers/loaders/single_file_model.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* make style

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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Leojc <liao_junchao@outlook.com>
Co-authored-by: Aditya Raj <syntaxticsugr@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Junsong Chen <cjs1020440147@icloud.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* 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>

* Support pass kwargs to cogvideox custom attention processor

* remove args in cogvideox attn processor

* remove unused kwargs

* factor out text encoder loading.

* make fix-copies

* remove copied from fuse_lora and unfuse_lora as needed.

* remove unused imports

* 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>

* fix docstrings

* add

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>

* Add support for loading AuraFlow models from GGUF

https://huggingface.co/city96/AuraFlow-v0.3-gguf



* Update AuraFlow documentation for GGUF, add GGUF tests and model detection.

* Address code review comments.

* Remove unused config.

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

change clean_caption from True to False.

* set supports gradient checkpointing to true where necessary; add missing no split modules

* fix cogvideox tests

* update

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

* 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>

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

* update

* fix make copies

* update

* add relevant markers to the integration test suite.

* add copied.

* fox-copies

* temporarily add print.

* directly place on CUDA as CPU isn't that big on the CIO.

* fixes to fuse_lora, aryan was right.

* fixes

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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>

* fix

* add coauthor
Co-Authored-By: Nerogar <nerogar@arcor.de>

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Co-authored-by: Nerogar <nerogar@arcor.de>

* fix: lora unloading when using expanded Flux LoRAs.

* fix argument name.
Co-authored-by: a-r-r-o-w <contact.aryanvs@gmail.com>

* docs.

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Co-authored-by: a-r-r-o-w <contact.aryanvs@gmail.com>

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

* make style

`lora_bias` PEFT version check in `unet.load_attn_procs` path

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>

update

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>

fix pe bug for Sana
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* check for base_layer key in transformer state dict

* test_lora_expansion_works_for_absent_keys

* check

* Update tests/lora/test_lora_layers_flux.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* check

* test_lora_expansion_works_for_absent_keys/test_lora_expansion_works_for_extra_keys

* absent->extra

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

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>

* feat: support unload_lora_weights() for Flux Control.

* tighten test

* minor

* updates

* meta device fixes.

* Revert "Add support for sharded models when TorchAO quantization is enabled (#10256)"

This reverts commit 41ba8c0b

.

* update tests

* udpate

* update

* update

* update device map tests

* apply review suggestions

* update

* make style

* fix

* update docs

* update tests

* update workflow

* update

* improve tests

* allclose tolerance

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

* Update tests/quantization/torchao/test_torchao.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* improve tests

* fix

* update correct slices

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

Make passing the IP Adapter mask to the attention mechanism optional if there is no need to apply it to a given IP Adapter.

* fix bug for torch.uint1-7 not support in torch<2.6

* up

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Co-authored-by: baymax591 <cbai@mail.nwpu.edu.cn>