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xfail failing tests in CI.

* cache non lora pipeline outputs.

* up

* up

* up

* up

* Revert "up"

This reverts commit 772c32e43397f25919c29bbbe8ef9dc7d581cfb8.

* up

* Revert "up"

This reverts commit cca03df7fce55550ed28b59cadec12d1db188283.

* up

* up

* add .

* up

* up

* up

* up

* up

* up

* change syntax

* make style

* init

* feedback

* feedback

* feedback

* feedback

* feedback

* feedback

* Allow prerelease when installing transformers from main

* maybe better

* maybe better

* and now?

* just bored

* should be better

* works now

fix xpu ut failures w/ latest pytorch
Signed-off-by: Yao, Matrix <matrix.yao@intel.com>

* update

* update

* update

* update

* update

* fix

* add mellon node registry

* style

* update docstring to include more info!

* support custom node mellon

* HTTPErrpr -> HfHubHTTPErrpr

* up

* Update src/diffusers/modular_pipelines/qwenimage/node_utils.py

* init

* config

* lora metadata

* feedback

* fix

* cache allocator warmup for from_single_file

* feedback

* feedback

* init

* feedback

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

* feat: support aobaseconfig classes.

* [docs] AOBaseConfig (#12302)

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

* up

* replace with is_torchao_version

* up

* up

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

* fix: preserve boolean dtype for attention masks in ChromaPipeline

- Convert attention masks to bool and prevent dtype corruption
- Fix both positive and negative mask handling in _get_t5_prompt_embeds
- Remove float conversion in _prepare_attention_mask method

Fixes #12116

* test: add ChromaPipeline attention mask dtype tests

* test: add slow ChromaPipeline attention mask tests

* chore: removed comments

* refactor: removing redundant type conversion

* Remove dedicated dtype tests as per  feedback

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

u[

* start unbloating docstrings (save_lora_weights).

* load_lora_weights()

* lora_state_dict

* fuse_lora

* unfuse_lora

* load_lora_into_transformer

* slight edits to the attention backends docs.

* Update docs/source/en/optimization/attention_backends.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>

* disable installing transformers from main in ci for now.

* up

* u[p

* Support huggingface_hub 0.x and 1.x

* httpx

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* misc: update examples link

* misc: update examples link

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* docs: introduce cache-dit to diffusers

* Refine documentation for CacheDiT features

Updated the wording for clarity and consistency in the documentation. Adjusted sections on cache acceleration, automatic block adapter, patch functor, and hybrid cache configuration.

* update

* update

* add coauthor
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* improve test

* handle ip adapter params correctly

* fix chroma qkv fusion test

* fix fastercache implementation

* fix more tests

* fight more tests

* add back set_attention_backend

* update

* update

* make style

* make fix-copies

* make ip adapter processor compatible with attention dispatcher

* refactor chroma as well

* remove rmsnorm assert

* minify and deprecate npu/xla processors

* update

* refactor

* refactor; support flash attention 2 with cp

* fix

* support sage attention with cp

* make torch compile compatible

* update

* refactor

* update

* refactor

* refactor

* add ulysses backward

* try to make dreambooth script work; accelerator backward not playing well

* Revert "try to make dreambooth script work; accelerator backward not playing well"

This reverts commit 768d0ea6fa6a305d12df1feda2afae3ec80aa449.

* workaround compilation problems with triton when doing all-to-all

* support wan

* handle backward correctly

* support qwen

* support ltx

* make fix-copies

* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* apply review suggestions

* update docs

* add explanation

* make fix-copies

* add docstrings

* support passing parallel_config to from_pretrained

* apply review suggestions

* make style

* update

* Update docs/source/en/api/parallel.md
Co-authored-by: Aryan <aryan@huggingface.co>

* up

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

Fixed WanVACEPipeline to allow prompt to be None and skip encoding step

Signed-off-by: Yao, Matrix <matrix.yao@intel.com>

Signed-off-by: Yao, Matrix <matrix.yao@intel.com>

disable xformer tests for pipelines it isn't popular.

* update

* update

* update

* single scheduler please.

* up

* up

* up

* init

* feedback

* update

* feedback

* fixes

* update

* update

* init

* toctree

* scheduler suggestions

* toctree

* Fixes chroma docs

* fix docs

fixed docs are now consistent

* up

* xfail some tests

* up

* up

* factor out the overlaps in save_lora_weights().

* remove comment.

* remove comment.

* up

* fix-copies

* FIxes enable_xformers_memory_efficient_attention()

* Update attention.py

xfail some kandinsky tests.

* Upgrade huggingface-hub to version 0.35.0

Updated huggingface-hub version from 0.26.1 to 0.35.0.

* Add uvicorn and accelerate to requirements

* Fix install instructions for server

* feat: add support of qwenimageeditplus

* add copies statement

* fix copies statement

* remove vl_processor reference

update

* Convert alphas for embedders for sd-scripts to ai toolkit conversion

* Add kohya embedders conversion test

* Apply style fixes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Add RequestScopedPipeline for safe concurrent inference, tokenizer lock and non-mutating retrieve_timesteps (#12328)

* Basic implementation of request scheduling

* Basic editing in SD and Flux Pipelines

* Small Fix

* Fix

* Update for more pipelines

* Add examples/server-async

* Add examples/server-async

* Updated RequestScopedPipeline to handle a single tokenizer lock to avoid race conditions

* Fix

* Fix _TokenizerLockWrapper

* Fix _TokenizerLockWrapper

* Delete _TokenizerLockWrapper

* Fix tokenizer

* Update examples/server-async

* Fix server-async

* Optimizations in examples/server-async

* We keep the implementation simple in examples/server-async

* Update examples/server-async/README.md

* Update examples/server-async/README.md for changes to tokenizer locks and backward-compatible retrieve_timesteps

* The changes to the diffusers core have been undone and all logic is being moved to exmaples/server-async

* Update examples/server-async/utils/*

* Fix BaseAsyncScheduler

* Rollback in the core of the diffusers

* Update examples/server-async/README.md

* Complete rollback of diffusers core files

* Simple implementation of an asynchronous server compatible with SD3-3.5 and Flux Pipelines

* Update examples/server-async/README.md

* Fixed import errors in 'examples/server-async/serverasync.py'

* Flux Pipeline Discard

* Update examples/server-async/README.md

* Apply style fixes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* fix hidream type hint

* fix hunyuan-video type hint

* fix many type hint

* fix many type hint errors

* fix many type hint errors

* fix many type hint errors

* make stype & make quality