GitLab

enable case on XPU: 1. tests/quantization/bnb/test_mixed_int8.py::BnB8bitTrainingTests::test_training
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* Add missing 'gradient_checkpointing = False' attr

* Add (limited) tests for Mochi autoencoder

* Apply style fixes

* pass 'conv_cache' as arg instead of kwarg

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Add stg wan to community pipelines

* remove debug prints

* remove unused comment

* Update doc

* Add credit + fix typo

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Refactor `LTXConditionPipeline` to add text-only conditioning

* style

* up

* Refactor `LTXConditionPipeline` to streamline condition handling and improve clarity

* Improve condition checks

* Simplify latents handling based on conditioning type

* Refactor rope_interpolation_scale preparation for clarity and efficiency

* Update LTXConditionPipeline docstring to clarify supported input types

* Add LTX Video 0.9.5 model to documentation

* Clarify documentation to indicate support for text-only conditioning without passing `conditions`

* refactor: comment out unused parameters in LTXConditionPipeline

* fix: restore previously commented parameters in LTXConditionPipeline

* fix: remove unused parameters from LTXConditionPipeline

* refactor: remove unnecessary lines in LTXConditionPipeline

* [feat]add strength in flux_fill pipeline

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

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

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

* [refactor] refactor after review

* [fix] change comment

* Apply style fixes

* empty

* fix

* update prepare_latents from flux.img2img pipeline

* style

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

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update

* Fixed requests.get function call by adding timeout parameter.

* declare DIFFUSERS_REQUEST_TIMEOUT in constants and import when needed

* remove unneeded os import

* Apply style fixes

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Co-authored-by: Sai-Suraj-27 <sai.suraj.27.729@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

update style bot workflow

Change LoRA Loader to StableDiffusion

Replace the SDXL LoRA Loader Mixin inheritance with the StableDiffusion one

* model card gen code

* push modelcard creation

* remove optional from params

* add import

* add use_dora check

* correct lora var use in tags

* make style && make quality

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

* feat: [Community Pipeline] - FaithDiff Stable Diffusion XL Pipeline for Image SR.

* added pipeline

* update

* update

* update

added onnxruntime-vitisai for custom build onnxruntime pkg

* Fix enable_sequential_cpu_offload in CogView4Pipeline

* make fix-copies

* add xpu part

* fix more cases

* remove some cases

* no canny

* format fix

* allow models to run with a user-provided dtype map instead of a single dtype

* make style

* Add warning, change `_` to `default`

* make style

* add test

* handle shared tensors

* remove warning

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

* rewrite memory count without implicitly using dimensions by @ic-synth

* replace F.pad by built-in padding in Conv3D

* in-place sums to reduce memory allocations

* fixed trailing whitespace

* file reformatted

* in-place sums

* simpler in-place expressions

* removed in-place sum, may affect backward propagation logic

* removed in-place sum, may affect backward propagation logic

* removed in-place sum, may affect backward propagation logic

* reverted change

fix: optional componentes verification on load

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

no cuda only

* Bug fix in ltx

* Assume packed latents.

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update

* raise warning and round to nearest multiple of scale factor

* update

* update

* WanI2V encode_image

Set self._hf_peft_config_loaded to True when LoRA is loaded using `load_lora_adapter` in PeftAdapterMixin class (#11155)

set self._hf_peft_config_loaded to True on successful lora load

Sets the `_hf_peft_config_loaded` flag if a LoRA is successfully loaded in `load_lora_adapter`. Fixes bug huggingface/diffusers/issues/11148
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

* update

* Update docs/source/en/optimization/memory.md

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* apply review suggestions

* update

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

* remove typo from korean controlnet train doc

* removed more paragraphs to remain in sync with the english document

* update

* update

* update

* add tests

* update docs

* raise value error

* warning for true cfg and guidance scale

* fix test

* fix bug in sana conversion script;

* add more model paths;

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

* 1

* change to channel 1

* cogview4 control training

* add CacheMixin

* 1

* remove initial_input_channels change for val

* 1

* update

* use 3.5

* new loss

* 1

* use imagetoken

* for megatron convert

* 1

* train con and uc

* 2

* remove guidance_scale

* Update pipeline_cogview4_control.py

* fix

* use cogview4 pipeline with timestep

* update shift_factor

* remove the uncond

* add max length

* change convert and use GLMModel instead of GLMForCasualLM

* fix

* [cogview4] Add attention mask support to transformer model

* [fix] Add attention mask for padded token

* update

* remove padding type

* Update train_control_cogview4.py

* resolve conflicts with #10981

* add control convert

* use control format

* fix

* add missing import

* update with cogview4 formate

* make style

* Update pipeline_cogview4_control.py

* Update pipeline_cogview4_control.py

* remove

* Update pipeline_cogview4_control.py

* put back

* Apply style fixes

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Co-authored-by: OleehyO <leehy0357@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>