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Fix fp16 bug
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* Default torch_dtype and warning

Add 5 Notebooks, improve their example
scripts and update the missing links for the
example README.

* feat: lora support for Lumina2.

* fix-copies.

* updates

* updates

* docs.

* fix

* add: training script.

* tests

* updates

* updates

* major updates.

* updates

* fixes

* docs.

* updates

* updates

This PR updates the max_shift value in flux to 1.15 for consistency across the codebase. In addition to modifying max_shift in flux, all related functions that copy and use this logic, such as calculate_shift in `src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3_img2img.py`, have also been updated to ensure uniform behavior.

* feat: new community mixture_tiling_sdxl pipeline for SDXL mixture-of-diffusers support

* fix use of variable latents to tile_latents

* removed references to modules that are not being used in this pipeline

* make style, make quality

* fixfeat: added _get_crops_coords_list function to pipeline to automatically define ctop,cleft coord to focus on image generation, helps to better harmonize the image and corrects the problem of flattened elements.

* feat: new community mixture_tiling_sdxl pipeline for SDXL mixture-of-diffusers support

* fix use of variable latents to tile_latents

* removed references to modules that are not being used in this pipeline

* make style, make quality

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* NPU Adaption for Sanna

* [bugfix]NPU Adaption for Sanna

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Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Added `auto_load_textual_inversion` and `auto_load_lora_weights`

* update README.md

* fix

* make quality

* Fix and `make style`

* Fix Doc Tutorial.

* Add 4 Notebooks and improve their example
scripts.

* Update train_instruct_pix2pix.py

Fix inconsistent random transform in instruct_pix2pix

* Update train_instruct_pix2pix_sdxl.py

Fix pipeline dtype unexpected change when using SDXL reference community pipelines in float16 mode (#10670)

Fix pipeline dtype unexpected change when using SDXL reference community pipelines

* update

* remove unused fn

* apply suggestions based on review

* update + cleanup 🧹

* more cleanup 🧹

* make fix-copies

* update test

* [training] Convert to ImageFolder script

* make

* add community pipeline for semantic guidance for flux

* fix imports in community pipeline for semantic guidance for flux

* Update examples/community/pipeline_flux_semantic_guidance.py
Co-authored-by: hlky <hlky@hlky.ac>

* fix community pipeline for semantic guidance for flux

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

* create a script to train vae

* update main.py

* update train_autoencoderkl.py

* update train_autoencoderkl.py

* add a check of --pretrained_model_name_or_path and --model_config_name_or_path

* remove the comment, remove diffusers in requiremnets.txt, add validation_image ote

* update autoencoderkl.py

* quality

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

* NPU Adaption for Sanna


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Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add pipeline_stable_diffusion_xl_attentive_eraser

* add pipeline_stable_diffusion_xl_attentive_eraser_make_style

* make style and add example output

* update Docs
Co-authored-by: Other Contributor <a457435687@126.com>

* add Oral
Co-authored-by: Other Contributor <a457435687@126.com>

* update_review
Co-authored-by: Other Contributor <a457435687@126.com>

* update_review_ms
Co-authored-by: Other Contributor <a457435687@126.com>

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Co-authored-by: Other Contributor <a457435687@126.com>

We already set the unet to requires grad false at line 506
Co-authored-by: Aryan <aryan@huggingface.co>

Remove the FP32 Wrapper
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* enable dreambooth_lora on other devices
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

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

* check cuda device before empty cache
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

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

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

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

change licensing to 2025 from 2024.

* bugfix for npu not support float64

* is_mps is_npu

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Co-authored-by: 白超 <baichao19@huawei.com>
Co-authored-by: hlky <hlky@hlky.ac>

set rest of the blocks with requires_grad False.

* implementing flux on TPUs with ptxla

* add xla flux attention class

* run make style/quality

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

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

* run style and quality

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

Co-authored-by: J石页 <jiangshuo9@h-partners.com>

* Update rerender_a_video.py

* Update rerender_a_video.py

* Update examples/community/rerender_a_video.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update rerender_a_video.py

* make style

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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: YiYi Xu <yixu310@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>

add to readme about hf login and wandb installation to address https://github.com/huggingface/diffusers/issues/10142#issuecomment-2571655570

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

* Update rerender_a_video.py

* Update rerender_a_video.py

* Update examples/community/rerender_a_video.py
Co-authored-by: hlky <hlky@hlky.ac>

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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: YiYi Xu <yixu310@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>

* 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>

Add 5 Notebooks for Diffusers Community
Pipelines.

* Use pipelines without vae

* getattr

* vqvae

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

RFInversionFluxPipeline, small fix for enable_model_cpu_offload & enable_sequential_cpu_offload compatibility (#10480)

RFInversionFluxPipeline.encode_image, device fix

Use self._execution_device instead of self.device when selecting
a device for the input image tensor.

This allows for compatibility with enable_model_cpu_offload &
enable_sequential_cpu_offload
Co-authored-by: Teriks <Teriks@users.noreply.github.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.4 to 3.1.5.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.4...3.1.5

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

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