GitLab

* Fix SD2.X clip single file load projection_dim

Infer projection_dim from the checkpoint before loading
from pretrained, override any incorrect hub config.

Hub configuration for SD2.X specifies projection_dim=512
which is incorrect for SD2.X checkpoints loaded from civitai
and similar.

Exception was previously thrown upon attempting to
load_model_dict_into_meta for SD2.X single file checkpoints.

Such LDM models usually require projection_dim=1024

* convert_open_clip_checkpoint use hidden_size for text_proj_dim

* convert_open_clip_checkpoint, revert checkpoint[text_proj_key].shape[1] -> [0]

values are identical

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Co-authored-by: Teriks <Teriks@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Initial implementation of Flux multi IP-Adapter

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

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

* Changes for ipa image embeds

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

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

* make style && make quality

* Updated ip_adapter test

* Created typing_utils.py

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

* restruct certain keys to be checked for peft config update.

* updates

* finish./

* finish 2.

* updates

* Fix `torch_dtype` in Kolors text encoder with `transformers` v4.49

* Default torch_dtype and warning

* `device_map` in `load_model_dict_into_meta`

* _LOW_CPU_MEM_USAGE_DEFAULT

* fix is_peft_version is_bitsandbytes_version

* Added runtime checkpoint conversion

* Updated docs

* Fix for quantized model

* feat: lora support for Lumina2.

* fix-copies.

* updates

* updates

* docs.

* fix

* add: training script.

* tests

* updates

* updates

* major updates.

* updates

* fixes

* docs.

* updates

* updates

* first draft model loading refactor

* revert name change

* fix bnb

* revert name

* fix dduf

* fix huanyan

* style

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

* suggestions from reviews

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

* remove safetensors check

* fix default value

* more fix from suggestions

* revert logic for single file

* style

* typing + fix couple of issues

* improve speed

* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Aryan <aryan@huggingface.co>

* fp8 dtype

* add tests

* rename resolved_archive_file to resolved_model_file

* format

* map_location default cpu

* add utility function

* switch to smaller model + test inference

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* rm comment

* add log

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add decorator

* cosine sim instead

* fix use_keep_in_fp32_modules

* comm

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

* make set_adapters() robust on silent failures.

* fixes to tests

* flaky decorator.

* fix

* flaky to sd3.

* remove warning.

* sort

* quality

* skip test_simple_inference_with_text_denoiser_multi_adapter_block_lora

* skip testing unsupported features.

* raise warning instead of error.

DiffusionPipeline mixin `to`+FromOriginalModelMixin/FromSingleFileMixin `from_single_file` type hint (#10811)

* DiffusionPipeline mixin `to` type hint

* FromOriginalModelMixin from_single_file

* FromSingleFileMixin from_single_file

update lora support for flux.

* update

* update

* fix peft state dict parsing

* updates

change licensing to 2025 from 2024.

* Update __init__.py

* add consisid

* update consisid

* update consisid

* make style

* make_style

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

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

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

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

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

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

* add doc

* make style

* Rename consisid .md to consisid.md

* Update geodiff_molecule_conformation.ipynb

* Update geodiff_molecule_conformation.ipynb

* Update geodiff_molecule_conformation.ipynb

* Update demo.ipynb

* Update pipeline_consisid.py

* make fix-copies

* Update docs/source/en/using-diffusers/consisid.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

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

* Update docs/source/en/using-diffusers/consisid.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/using-diffusers/consisid.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update doc & pipeline code

* fix typo

* make style

* update example

* Update docs/source/en/using-diffusers/consisid.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update example

* update example

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

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

* update

* add test and update

* remove some changes from docs

* refactor

* fix

* undo changes to examples

* remove save/load and fuse methods

* update

* link hf-doc-img & make test extremely small

* update

* add lora

* fix test

* update

* update

* change expected_diff_max to 0.4

* fix typo

* fix link

* fix typo

* update docs

* update

* remove consisid lora tests

---------
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* Move buffers to device

* add test

* named_buffers

* feat: support loading loras into 4bit quantized models.

* updates

* update

* remove weight check.

Co-authored-by: Teriks <Teriks@users.noreply.github.com>

* improve failure handling for peft.

* emppty

* Update src/diffusers/loaders/peft.py
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

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Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* update

* update

* update

* update

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

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

---------
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>

* factor out text encoder loading.

* make fix-copies

* remove copied from fuse_lora and unfuse_lora as needed.

* remove unused imports

* 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>

* 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

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

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

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

* fix: lora unloading when using expanded Flux LoRAs.

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

* docs.

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

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

* 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

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

* feat: support unload_lora_weights() for Flux Control.

* tighten test

* minor

* updates

* meta device fixes.

* update

* make style

* update

* update

* update

* make style

* single file related changes

* update

* fix

* update single file urls and docs

* update

* fix

update

* update

* Update src/diffusers/loaders/single_file_utils.py
Co-authored-by: Aryan <aryan@huggingface.co>

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

* 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>

* lora expansion with dummy zeros.

* updates

* fix working 🥳

* working.

* use torch.device meta for state dict expansion.

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

* fixes

* fixes

* switch to debug

* fix

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

* fix stuff

* docs

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

* update

* add docs.

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

* Added support for single IPAdapter on SD3.5 pipeline



---------
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>