GitLab

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fix peft delete adapters for flux.

* add test

* empty commit

* update

* update

allow string device to be passed to randn_tensor.

* Refactoring Regional Prompting pipeline to use Diffusion Pipeline instead of Stable Diffusion Pipeline

* Apply style fixes

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

* fix invalid link lora.md

* fix invalid link controlnet_sdxl.md

The Hugging Face models page now uses the tags parameter instead of the other parameter for tag-based filtering. Therefore, to simultaneously apply both the "Stable Diffusion XL" and "ControlNet" tags, the following URL should be used: https://huggingface.co/models?tags=stable-diffusion-xl,controlnet

* fix invalid link cosine_dpm.md

"https://github.com/Stability-AI/stable-audio-tool" -> "https://github.com/Stability-AI/stable-audio-tools

"

* Update controlnet_sdxl.md

* Update cosine_dpm.md

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* testing

* testing

* testing

* testing

* testing

* i2v

* i2v

* device fix

* testing

* fix

* fix

* fix

* fix

* fix

* Apply style fixes

* empty commit

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

* add guidance rescale

* update docs

* support adaptive instance norm filter

* fix custom timesteps support

* add custom timestep example to docs

* add a note about best generation settings being available only in the original repository

* use original org hub ids instead of personal

* make fix-copies

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* Use HF Papers

* Apply style fixes

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

update

* start supporting kijai wan lora.

* diff_b keys.

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

* merge ready

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

* support non diffusers loras for ltxv

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

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

* Apply style fixes

* empty commit

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

* tip for group offloding + quantization
Co-authored-by: Aryan VS <contact.aryanvs@gmail.com>

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

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Co-authored-by: Aryan VS <contact.aryanvs@gmail.com>
Co-authored-by: Aryan <aryan@huggingface.co>

Update docs/source/en/using-diffusers/inpaint.md

enhance value guard
Signed-off-by: Matrix Yao <matrix.yao@intel.com>

* add regional compilation docs.

* minor.

* reviwer feedback.

* Update docs/source/en/optimization/torch2.0.md
Co-authored-by: Ilyas Moutawwakil <57442720+IlyasMoutawwakil@users.noreply.github.com>

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Co-authored-by: Ilyas Moutawwakil <57442720+IlyasMoutawwakil@users.noreply.github.com>

* add tests for combining layerwise upcasting and groupoffloading.

* feedback

* [gguf] Refactor __torch_function__ to avoid unnecessary computation

This helps with torch.compile compilation lantency. Avoiding unnecessary
computation should also lead to a slightly improved eager latency.

* Apply style fixes

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

* update

* update

* update

* update

* update

* update

* update

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

Fixed 2 warnings that were raised during running LTXImageToVideoPipelineFastTests
Co-authored-by: achowdhury1211@gmail.com <anwesha@LAPTOP-E5QGFMOQ>

* Update pipeline_flux_img2img.py

Adds missing vae_slicing and vae_tiling calls to FluxImage2ImagePipeline

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update src/diffusers/pipelines/flux/pipeline_flux_img2img.py
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

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Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* add tests for hidream transformer model.

* fix

* Update tests/models/transformers/test_models_transformer_hidream.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

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

* add upsampling pipeline

* ltx upsample pipeline conversion; pipeline fixes

* make fix-copies

* remove print

* add vae convenience methods

* update

* add tests

* support denoising strength for upscaling & video-to-video

* update docs

* update doc checkpoints

* update docs

* fix

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

init

[train_dreambooth.py] Fix the LR Schedulers when num_train_epochs is passed in a distributed training env (#11239)
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* VisualCloze

* style quality

* add docs

* add docs

* typo

* Update docs/source/en/api/pipelines/visualcloze.md

* delete einops

* style quality

* Update src/diffusers/pipelines/visualcloze/pipeline_visualcloze.py

* reorg

* refine doc

* style quality

* typo

* typo

* Update src/diffusers/image_processor.py

* add comment

* test

* style

* Modified based on review

* style

* restore image_processor

* update example url

* style

* fix-copies

* VisualClozeGenerationPipeline

* combine

* tests docs

* remove VisualClozeUpsamplingPipeline

* style

* quality

* test examples

* quality style

* typo

* make fix-copies

* fix test_callback_cfg and test_save_load_dduf in VisualClozePipelineFastTests

* add EXAMPLE_DOC_STRING to VisualClozeGenerationPipeline

* delete maybe_free_model_hooks from pipeline_visualcloze_combined

* Apply suggestions from code review

* fix test_save_load_local test; add reason for skipping cfg test

* more save_load test fixes

* fix tests in generation pipeline tests

* Update test_models_transformer_ltx.py

* Update test_models_transformer_ltx.py

* Update test_models_transformer_ltx.py

* Update test_models_transformer_ltx.py

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

* enable kandinsky2_2 integration test cases on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* enable latent_diffusion, dance_diffusion, musicldm, shap_e integration
uts on xpu
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* support framepack f1

* update docs

* update toctree

* remove typo

* start.

* add tests for framepack transformer model.

* merge conflicts.

* make to square.

* fixes

update

* detect xpu in print_env
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* enhance code, test passed on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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

* enable dit integration test on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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

fix: update latents dtype to match vae

* enable 7 cases on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* calibrate A100 expectations
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

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