GitLab

4 Notebooks for Community Scripts and minor
script improvements.

* Add server example.

* Minor updates to README.

* Add fixes after local testing.

* Apply suggestions from code review

Updates to README from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* More doc updates.

* Maybe this will work to build the docs correctly?

* Fix style issues.

* Fix toc.

* Minor reformatting.

* Move docs to proper loc.

* Fix missing tick.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Sync docs changes back to README.

* Very minor update to docs to add space.

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

update file paths to research_projects folder.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add Notebooks on Community Scripts

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

* fix use_dora

* fix style and quality

* fix use_dora with peft version

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

* refactored

* move vae flax module.

* controlnet module.

* prepare for PR.

* revert a commit

* gracefully deprecate controlnet deps.

* fix

* fix doc path

* fix-copies

* fix path

* style

* style

* conflicts

* fix

* fix-copies

* sparsectrl.

* updates

* fix

* updates

* updates

* updates

* fix

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

* updated encode prompt and clip encod prompt


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

* Add new community pipeline for 'Adaptive Mask Inpainting', introduced in [ECCV2024] Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

* enable cpu ability

* model creation + comprehensive testing

* training + tests

* all tests working

* remove unneeded files + clarify docs

* update train tests

* update readme.md

* remove data from gitignore

* undo cpu enabled option

* Update README.md

* update readme

* code quality fixes

* diffusion policy example

* update readme

* add pretrained model weights + doc

* add comment

* add documentation

* add docstrings

* update comments

* update readme

* fix code quality

* Update examples/reinforcement_learning/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/reinforcement_learning/diffusion_policy.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* suggestions + safe globals for weights_only=True

* suggestions + safe weights loading

* fix code quality

* reformat file

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

* Improve NPU performance

* Improve NPU performance

* Improve NPU performance

* Improve NPU performance

* [bugfix] bugfix for npu free memory

* [bugfix] bugfix for npu free memory

* [bugfix] bugfix for npu free memory

* Reduce memory cost for flux training process

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

Handling mixed precision and add unwarp
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

Update train_controlnet_flux.py

Fix the problem of inconsistency between size of image and size of validation_image which causes np.stack to report error.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

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

* modelcard generation edit

* add missed tag

* fix param name

* fix var

* change str to dict

* add use_dora check

* use correct tags for lora

* make style && make quality

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

* use the lr when using 8bit adam.

* remove lr as we pack it in params_to_optimize.

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

[training] fixes to the quantization training script and add AdEMAMix optimizer as an option (#9806)

* fixes

* more fixes.

* add the controlnet pipeline for pixart alpha

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: junsongc <cjs1020440147@icloud.com>

* make lora target modules configurable and change the default

* style

* make lora target modules configurable and change the default

* fix bug when using prodigy and training te

* fix mixed precision training as  proposed in https://github.com/huggingface/diffusers/pull/9565

 for full dreambooth as well

* add test and notes

* style

* address sayaks comments

* style

* fix test

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

* configurable layers

* configurable layers

* update README

* style

* add test

* style

* add layer test, update readme, add nargs

* readme

* test style

* remove print, change nargs

* test arg change

* style

* revert nargs 2/2

* address sayaks comments

* style

* address sayaks comments

[Fix] remove setting lr for T5 text encoder when using prodigy in flux dreambooth lora script (#9473)

* fix: removed setting of text encoder lr for T5 as it's not being tuned

* fix: removed setting of text encoder lr for T5 as it's not being tuned

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

[Fix] train_dreambooth_lora_flux_advanced ValueError: unexpected save model: <class 'transformers.models.t5.modeling_t5.T5EncoderModel'> (#9777)

fix save state te T5

Update README.md

* flux pipline: readability enhancement.

* add flux training script with quantization

* remove exclamation

* improve readme

* style

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

* post-release

* style

* use make_image_grid in diffusers.utils

* use checkpoint on the Hub

* [matryoshka.py] Add schedule_shifted_power attribute and update get_schedule_shifted method

* Update train_controlnet.py

reduce float value error for bfloat16

* Update train_controlnet_sdxl.py

* style

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

* fix arg naming

* fix arg naming

* fix arg naming

* fix arg naming

* add ostris trainer to README & add cache latents of vae

* add ostris trainer to README & add cache latents of vae

* style

* readme

* add test for latent caching

* add ostris noise scheduler
https://github.com/ostris/ai-toolkit/blob/9ee1ef2a0a2a9a02b92d114a95f21312e5906e54/toolkit/samplers/custom_flowmatch_sampler.py#L95

* style

* fix import

* style

* fix tests

* style

* --change upcasting of transformer?

* update readme according to main

* add pivotal tuning for CLIP

* fix imports, encode_prompt call,add TextualInversionLoaderMixin to FluxPipeline for inference

* TextualInversionLoaderMixin support for FluxPipeline for inference

* move changes to advanced flux script, revert canonical

* add latent caching to canonical script

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* style

* remove redundant line and change code block placement to align with logic

* add initializer_token arg

* add transformer frac for range support from pure textual inversion to the orig pivotal tuning

* support pure textual inversion - wip

* adjustments to support pure textual inversion and transformer optimization in only part of the epochs

* fix logic when using initializer token

* fix pure_textual_inversion_condition

* fix ti/pivotal loading of last validation run

* remove embeddings loading for ti in final training run (to avoid adding huggingface hub dependency)

* support pivotal for t5

* adapt pivotal for T5 encoder

* adapt pivotal for T5 encoder and support in flux pipeline

* t5 pivotal support + support fo pivotal for clip only or both

* fix param chaining

* fix param chaining

* README first draft

* readme

* readme

* readme

* style

* fix import

* style

* add fix from https://github.com/huggingface/diffusers/pull/9419



* add to readme, change function names

* te lr changes

* readme

* change concept tokens logic

* fix indices

* change arg name

* style

* dummy test

* revert dummy test

* reorder pivoting

* add warning in case the token abstraction is not the instance prompt

* experimental - wip - specific block training

* fix documentation and token abstraction processing

* remove transformer block specification feature (for now)

* style

* fix copies

* fix indexing issue when --initializer_concept has different amounts

* add if TextualInversionLoaderMixin to all flux pipelines

* style

* fix import

* fix imports

* address review comments - remove necessary prints & comments, use pin_memory=True, use free_memory utils, unify warning and prints

* style

* logger info fix

* make lora target modules configurable and change the default

* make lora target modules configurable and change the default

* style

* make lora target modules configurable and change the default, add notes to readme

* style

* add tests

* style

* fix repo id

* add updated requirements for advanced flux

* fix indices of t5 pivotal tuning embeddings

* fix path in test

* remove `pin_memory`

* fix filename of embedding

* fix filename of embedding

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

* add latent caching + smol updates

* update license

* replace with free_memory

* add --upcast_before_saving to allow saving transformer weights in lower precision

* fix models to accumulate

* fix mixed precision issue as proposed in https://github.com/huggingface/diffusers/pull/9565



* smol update to readme

* style

* fix caching latents

* style

* add tests for latent caching

* style

* fix latent caching

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

* update

* update

* update

* update

* update

* add coauthor
Co-Authored-By: yuan-shenghai <963658029@qq.com>

* add coauthor
Co-Authored-By: Shenghai Yuan <140951558+SHYuanBest@users.noreply.github.com>

* update
Co-Authored-By: yuan-shenghai <963658029@qq.com>

* update

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Co-authored-by: yuan-shenghai <963658029@qq.com>
Co-authored-by: Shenghai Yuan <140951558+SHYuanBest@users.noreply.github.com>

* [docs] refactoring docstrings in community/hd_painter.py

* Update examples/community/hd_painter.py
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* make style

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

* fixed issue #9350, Tensor is deprecated

* ran make style

* Improve the performance and suitable for NPU

* Improve the performance and suitable for NPU computing

* Improve the performance and suitable for NPU

* Improve the performance and suitable for NPU

* Improve the performance and suitable for NPU

* Improve the performance and suitable for NPU

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