* Improve incorrect LoRA format error message
* Add flag in PeftLoraLoaderMixinTests to disable text encoder LoRA tests
* Apply changes to LTX2LoraTests
* Further improve incorrect LoRA format error msg following review
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Fix QwenImage txt_seq_lens handling
* formatting
* formatting
* remove txt_seq_lens and use bool mask
* use compute_text_seq_len_from_mask
* add seq_lens to dispatch_attention_fn
* use joint_seq_lens
* remove unused index_block
* WIP: Remove seq_lens parameter and use mask-based approach
- Remove seq_lens parameter from dispatch_attention_fn
- Update varlen backends to extract seqlens from masks
- Update QwenImage to pass 2D joint_attention_mask
- Fix native backend to handle 2D boolean masks
- Fix sage_varlen seqlens_q to match seqlens_k for self-attention
Note: sage_varlen still producing black images, needs further investigation
* fix formatting
* undo sage changes
* xformers support
* hub fix
* fix torch compile issues
* fix tests
* use _prepare_attn_mask_native
* proper deprecation notice
* add deprecate to txt_seq_lens
* Update src/diffusers/models/transformers/transformer_qwenimage.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Update src/diffusers/models/transformers/transformer_qwenimage.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Only create the mask if there's actual padding
* fix order of docstrings
* Adds performance benchmarks and optimization details for QwenImage
Enhances documentation with comprehensive performance insights for QwenImage pipeline:
* rope_text_seq_len = text_seq_len
* rename to max_txt_seq_len
* removed deprecated args
* undo unrelated change
* Updates QwenImage performance documentation
Removes detailed attention backend benchmarks and simplifies torch.compile performance description
Focuses on key performance improvement with torch.compile, highlighting the specific speedup from 4.70s to 1.93s on an A100 GPU
Streamlines the documentation to provide more concise and actionable performance insights
* Updates deprecation warnings for txt_seq_lens parameter
Extends deprecation timeline for txt_seq_lens from version 0.37.0 to 0.39.0 across multiple Qwen image-related models
Adds a new unit test to verify the deprecation warning behavior for the txt_seq_lens parameter
* fix compile
* formatting
* fix compile tests
* rename helper
* remove duplicate
* smaller values
* removed
* use torch.cond for torch compile
* Construct joint attention mask once
* test different backends
* construct joint attention mask once to avoid reconstructing in every block
* Update src/diffusers/models/attention_dispatch.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* formatting
* raising an error from the EditPlus pipeline when batch_size > 1
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: cdutr <dutra_carlos@hotmail.com>
* 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
* Add thread-safe wrappers for components in pipeline
Refactor requestscopedpipeline.py to add thread-safe wrappers for tokenizer, VAE, and image processor. Introduce locking mechanisms to ensure thread safety during concurrent access.
* Add wrappers.py
* Apply style fixes
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Store vae.config.scaling_factor to prevent missing attr reference
In sdxl advanced dreambooth training script
vae.config.scaling_factor becomes inaccessible after: del vae
when: --cache_latents, and no --validation_prompt
Co-authored-by: Teriks <Teriks@users.noreply.github.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* 3 files
* add conditoinal pipeline
* refactor qwen modular
* add layered
* up up
* u p
* add to import
* more refacotr, make layer work
* clean up a bit git add src
* more
* style
* style
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
Altered tests in test_torchao.py to version guard floatx
Created new test to verify version guard of floatx support
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
Altered tests in test_torchao.py to version guard floatx
Created new test to verify version guard of floatx support
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
Altered tests in test_torchao.py to version guard floatx
Created new test to verify version guard of floatx support
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
Altered tests in test_torchao.py to version guard floatx
Created new test to verify version guard of floatx support
* Adding torchao version guard for floatx usage
Summary: TorchAO removing floatx support, added version guard in quantization_config.py
Altered tests in test_torchao.py to version guard floatx
Created new test to verify version guard of floatx support
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
