* Add ZImageImg2ImgPipeline
Updated the pipeline structure to include ZImageImg2ImgPipeline
alongside ZImagePipeline.
Implemented the ZImageImg2ImgPipeline class for image-to-image
transformations, including necessary methods for
encoding prompts, preparing latents, and denoising.
Enhanced the auto_pipeline to map the new ZImageImg2ImgPipeline
for image generation tasks.
Added unit tests for ZImageImg2ImgPipeline to ensure
functionality and performance.
Updated dummy objects to include ZImageImg2ImgPipeline for
testing purposes.
* Address review comments for ZImageImg2ImgPipeline
- Add `# Copied from` annotations to encode_prompt and _encode_prompt
- Add ZImagePipeline to auto_pipeline.py for AutoPipeline support
* Add ZImage pipeline documentation
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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Γlvaro Somoza <asomoza@users.noreply.github.com>
* feat: Add `flow_prediction` to `prediction_type`, introduce `use_flow_sigmas`, `flow_shift`, `use_dynamic_shifting`, and `time_shift_type` parameters, and refine type hints for various arguments.
* style: reformat argument wrapping in `_convert_to_beta` and `index_for_timestep` method signatures.
* fix: group offloading to support standalone computational layers in block-level offloading
* test: for models with standalone and deeply nested layers in block-level offloading
* feat: support for block-level offloading in group offloading config
* fix: group offload block modules to AutoencoderKL and AutoencoderKLWan
* fix: update group offloading tests to use AutoencoderKL and adjust input dimensions
* refactor: streamline block offloading logic
* Apply style fixes
* update tests
* update
* fix for failing tests
* clean up
* revert to use skip_keys
* clean up
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* start zimage model tests.
* up
* up
* up
* up
* up
* up
* up
* up
* up
* up
* up
* up
* Revert "up"
This reverts commit bca3e27c96.
* expand upon compilation failure reason.
* Update tests/models/transformers/test_models_transformer_z_image.py
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
* reinitialize the padding tokens to ones to prevent NaN problems.
* updates
* up
* skipping ZImage DiT tests
* up
* up
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Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
* Fix(peft): Re-apply group offloading after deleting adapters
* Test: Add regression test for group offloading + delete_adapters
* Test: Add assertions to verify output changes after deletion
* Test: Add try/finally to clean up group offloading hooks
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Fixes#12673.
Wrong default_stream is used. leading to wrong execution order when record_steram is enabled.
* update
* Update test
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Refactor image padding logic to pervent zero tensor in transformer_z_image.py
* Apply style fixes
* Add more support to fix repeat bug on tpu devices.
* Fix for dynamo compile error for multi if-branches.
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Co-authored-by: Mingjia Li <mingjiali@tju.edu.cn>
Co-authored-by: Mingjia Li <mail@mingjia.li>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
