GitLab

* up

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

* add pag to sd pipelines

* remove deprecation from transformer2d regarding the output class.

* up

* deprecate more

* add controlnet support

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

* add more about from_pipe API

* Update docs/source/en/using-diffusers/pag.md

* Update docs/source/en/using-diffusers/pag.md

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* add docs on model sharding

* add entry to _toctree.

* Apply suggestions from code review
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* simplify wording

* add a note on transformer library handling

* move device placement section

* Update docs/source/en/training/distributed_inference.md
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* doc for max_sequence_length

* better position and changed note to tip

* apply suggestions

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* first draft


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add note

* add note on caching in fast diffusion

* formatting

* Update docs/source/en/tutorials/fast_diffusion.md
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* Fix typos

* Fix typos & up style

* chore: Update numbers

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* Discourage using `revision`

* `make style && make quality`

* Refactor code to use 'variant' instead of 'revision'

* `revision="bf16"` -> `variant="bf16"`

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* Trim all the trailing white space in the whole repo

* Remove unnecessary empty places

* make style && make quality

* Trim trailing white space

* trim

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* Fix typos & improve contributing page

* `make style && make quality`

* fix typos

* Fix typo

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* get rid of the legacy lora remnants and make our codebase lighter

* fix depcrecated lora argument

* fix

* empty commit to trigger ci

* remove print

* empty

* sd3 controlnet



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Co-authored-by: haofanwang <haofanwang.ai@gmail.com>

[SD3 Docs] Corrected title about loading model with T5

Corrected the documentation title to "Loading the single file checkpoint with T5" Previously, it incorrectly stated "Loading the single file checkpoint without T5" which contradicted the code snippet showing how to load the SD3 checkpoint with the T5 model

* shift factor argument to tiny

* remove shift factor rejigging from the sd3 docs

* tased3 docs

* apply suggestion

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Update controlnet.md

Syntax error pipe -> pipeline

* update

* update

* up

* add sd3

* update

* update

* add tests

* fix copies

* fix docs

* update

* add dreambooth lora

* add LoRA

* update

* update

* update

* update

* import fix

* update

* Update src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3.py
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* import fix 2

* update

* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* update

* update

* update

* fix ckpt id

* fix more ids

* update

* missing doc

* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
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* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
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* update'

* fix

* update

* Update src/diffusers/models/autoencoders/autoencoder_kl.py

* Update src/diffusers/models/autoencoders/autoencoder_kl.py

* note on gated access.

* requirements

* licensing

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

* translation about 3 documents into Korean

* evaluation doc korean translation

* _toctree.yml modify

* doc title fix : philosopy->philosophy

* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/ethical_guidelines.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update docs/source/ko/conceptual/evaluation.md
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* Update philosophy.md (from jungnerd)

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Co-authored-by: Chulhwa (Evan) Han <cjfghk5697@ajou.ac.kr>

* Refactor code to remove unnecessary calls to `to(torch_device)`

* Refactor code to remove unnecessary calls to `to("cuda")`

* Update pipeline_stable_diffusion_diffedit.py

* single file usage

* edit

* optimizations to the hunyuan dit docs.

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

* Update docs/source/en/api/pipelines/hunyuandit.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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* Fix typos

* Trim trailing whitespaces

* Remove a trailing whitespace

* chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0

* Revert "chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0"

This reverts commit fd742b30b4258106008a6af4d0dd4664904f8595.

* pokemon -> naruto

* `DPMSolverMultistep` -> `DPMSolverMultistepScheduler`

* Improve Markdown stylization

* Improve style

* Improve style

* Refactor pipeline variable names for consistency

* up style

* allow hunyuan dit to run under 6GB for GPU VRAM

* add section in the docs/

minor docs changes in hunyuandit

* Update transformer2d.md title

For the other classes (e.g., UNet2DModel) the title of the documentation coincides with the name of the class, but that was not the case for Transformer2DModel.

* Update model docs titles for consistency with class names

* add hunyuandit doc

* update hunyuandit doc

* update hunyuandit 2d model

* update toctree.yml for hunyuandit

* rename prs-eth/marigold-lcm-v1-0 into prs-eth/marigold-depth-lcm-v1-0

* update image paths in https://huggingface.co/datasets/huggingface/documentation-images

 to use main branch

* fix relative paths to other diffusers pages

* Update docs/source/en/using-diffusers/marigold_usage.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

* init for patches

* finish patched model.

* continuous transformer

* vectorized transformer2d.

* style.

* inits.

* fix-copies.

* introduce DiTTransformer2DModel.

* fixes

* use REMAPPING as suggested by @DN6

* better logging.

* add pixart transformer model.

* inits.

* caption_channels.

* attention masking.

* fix use_additional_conditions.

* remove print.

* debug

* flatten

* fix: assertion for sigma

* handle remapping for modeling_utils

* add tests for dit transformer2d

* quality

* placeholder for pixart tests

* pixart tests

* add _no_split_modules

* add docs.

* check

* check

* check

* check

* fix tests

* fix tests

* move Transformer output to modeling_output

* move errors better and bring back use_additional_conditions attribute.

* add unnecessary things from DiT.

* clean up pixart

* fix remapping

* fix device_map things in pixart2d.

* replace Transformer2DModel with appropriate classes in dit, pixart tests

* empty

* legacy mixin classes./

* use a remapping dict for fetching class names.

* change to specifc model types in the pipeline implementations.

* move _fetch_remapped_cls_from_config to modeling_loading_utils.py

* fix dependency problems.

* add deprecation note.

* files and formats

* fix callout

* feedback

* code sample

* feedback

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

move vqmodel to models.autoencoders.

* first draft

* edits

* noise schedule

* sigmas and zero snr

* feedback

* feedback