GitLab

Add correct number of channels when resuming from checkpoint for Flux Control LoRa training (#10422)

* Add correct number of channels when resuming from checkpoint

* Fix Formatting

* update

* update

* feedback

* fix videos

* use previous checkpoint

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

* quantization

* add other vid models

* typo

* more pipelines

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

* Update pix2pix.md

fix hyperlink error

* fix md link typos

* fix md typo - remove ".md" at the end of links

* [Fix] Broken links in hunyuan docs (#10402)

* fix-hunyuan-broken-links

* [Fix] docs broken links hunyuan

* [training] add ds support to lora sd3. (#10378)

* add ds support to lora sd3.
Co-authored-by: leisuzz <jiangshuonb@gmail.com>

* style.

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

* fix md typo - remove ".md" at the end of links

* fix md link typos

* fix md typo - remove ".md" at the end of links

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Co-authored-by: SahilCarterr <110806554+SahilCarterr@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: leisuzz <jiangshuonb@gmail.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* add ds support to lora sd3.
Co-authored-by: leisuzz <jiangshuonb@gmail.com>

* style.

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

* fix-hunyuan-broken-links

* [Fix] docs broken links hunyuan

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

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* 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>

* fix: registration of out_channels in the control flux scripts.

* free memory.

fix bug on xpu

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>

Update community_projects.md

fix

* post release 0.32.0

* stylew

* update

* make style

* update

* update

* update

* make style

* single file related changes

* update

* fix

* update single file urls and docs

* update

* fix

* fixes to tests

* fixture

* fixes

updates

* rename blocks and docs

* fix docs

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

fix

* misc lora test improvements.

* updates

* fixes to tests

update

* sana lora training tests and misc.

* remove push to hub

* Update examples/dreambooth/train_dreambooth_lora_sana.py
Co-authored-by: Aryan <aryan@huggingface.co>

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

refactor

fix: torchao example.

* bump min torchao version to 0.7.0

* update

Add missing `.shape`

* fix the Positinoal Embedding bug in 2K model;

* Change the default model to the BF16 one for more stable training and output

* make style

* substract buffer size

* add compute_module_persistent_sizes

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Co-authored-by: yiyixuxu <yixu310@gmail.com>

* 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>

add:
q

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

update docs and example to use community weights

* flux controlnet inpaint config bug

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

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Co-authored-by: yigitozgenc <yigit@quantuslabs.ai>
Co-authored-by: hlky <hlky@hlky.ac>

* 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>