GitLab

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

* fix typo in __call__ of pipeline_stable_diffusion_3.py

* fix typo in __call__ of pipeline_stable_diffusion_3_img2img.py

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

* add support for lora fusion in sd3

* add test to ensure fused lora and effective lora produce same outpouts

fix single file

* sd3 controlnet



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

[SD3] Fix mis-matched shape when num_images_per_prompt > 1 using without T5 (text_encoder_3=None) (#8558)

* fix shape mismatch when num_images_per_prompt > 1 and text_encoder_3=None

* style

* fix copies

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

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

* add sd1.5 compatibility to controlnet-xs

* set use_linear_projection by base_block

* refine code style

Making self.upsample actually be Upsample1D

* [LoRA] text encoder: read the ranks for all the attn modules

 * In addition to out_proj, read the ranks of adapters for q_proj, k_proj, and  v_proj

 * Allow missing adapters (UNet already supports this)

* ruff format loaders.lora

* [LoRA] add tests for partial text encoders LoRAs

* [LoRA] update test_simple_inference_with_partial_text_lora to be deterministic

* [LoRA] comment justifying test_simple_inference_with_partial_text_lora

* style

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

* shift factor argument to tiny

* remove shift factor rejigging from the sd3 docs

* max_sequence_length for the T5

* updated img2img

* apply suggestions

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

* Fix sharding when no device_map is passed

* style

* add tests

* align

* add docstring

* format

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

[Single File Loading] Handle unexpected keys in CLIP models when `accelerate` isn't installed.  (#8462)

* update

* update

* update

* update

* update

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

refactor the density and weighting utilities.

* fix

* up

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

* pin accelerate to 0.31.0

* update dep table

* empty

post release

remove prepare mask fn
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* Fix duplicate variable assignments.

* Fix duplicate variable assignments.

Update scheduling_flow_match_euler_discrete.py

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

fix warning log

fix

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

* import fix 2

* update

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

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

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

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

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

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

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

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

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

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

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

* update

* update

* update

* fix ckpt id

* fix more ids

* update

* missing doc

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

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

* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* quiet attn parameters

* fix lint

* make style && make quality

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

* change max_shard_size to 10GB

* add notes to the documentation

* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>

* change to abs limit

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Co-authored-by: Lucain <lucainp@gmail.com>

* image_processor.py: Fixed an error in ValueError's message , as the string's join method tried to join types, instead of strings

Bug that occurred:

f"Input is in incorrect format. Currently, we only support {', '.join(supported_formats)}"
TypeError: sequence item 0: expected str instance, type found

* Fixed: C417 Unnecessary `map` usage (rewrite using a generator expression)

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

* fix

* style

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

* 🔧 chore: use modeling_outputs.Transformer2DModelOutput

* 🔧 chore: isort

* 🔧

 chore: isort

* style

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

* Move away from

* unused constant

* Add custom error

* feat: support saving a model in sharded checkpoints.

* feat: make loading of sharded checkpoints work.

* add tests

* cleanse the loading logic a bit more.

* more resilience while loading from the Hub.

* parallelize shard downloads by using snapshot_download()/

* default to a shard size.

* more fix

* Empty-Commit

* debug

* fix

* uality

* more debugging

* fix more

* initial comments from Benjamin

* move certain methods to loading_utils

* add test to check if the correct number of shards are present.

* add a test to check if loading of sharded checkpoints from the Hub is okay

* clarify the unit when passed as an int.

* use hf_hub for sharding.

* remove unnecessary code

* remove unnecessary function

* lucain's comments.

* fixes

* address high-level comments.

* fix test

* subfolder shenanigans./

* Update src/diffusers/utils/hub_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* remove _huggingface_hub_version as not needed.

* address more feedback.

* add a test for local_files_only=True/

* need hf hub to be at least 0.23.2

* style

* final comment.

* clean up subfolder.

* deal with suffixes in code.

* _add_variant default.

* use weights_name_pattern

* remove add_suffix_keyword

* clean up downloading of sharded ckpts.

* don't return something special when using index.json

* fix more

* don't use bare except

* remove comments and catch the errors better

* fix a couple of things when using is_file()

* empty

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Co-authored-by: Lucain <lucainp@gmail.com>

* fix: legacy model mapping

* remove print

* 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

* fix: euledm when using the exp sigma schedule.

* fix-copies

* remove print.

* reduce friction

* yiyi's suggestioms

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

* add section in the docs/

* remove legacy code from load_attn_procs.

* finish first draft

* fix more.

* fix more

* add test

* add serialization support.

* fix-copies

* require peft backend for lora tests

* style

* fix test

* fix loading.

* empty

* address benjamin's feedback.