- 25 Sep, 2025 1 commit
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Lucain authored
* Support huggingface_hub 0.x and 1.x * httpx
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- 28 Aug, 2025 1 commit
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Dhruv Nair authored
* update * update * update * update * update * merge main * Revert "merge main" This reverts commit 65efbcead58644b31596ed2d714f7cee0e0238d3.
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- 18 Jun, 2025 1 commit
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Sayak Paul authored
change to 2025 licensing for remaining
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- 11 Jun, 2025 1 commit
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Yao Matrix authored
* enable torchao cases on XPU Signed-off-by:
Matrix YAO <matrix.yao@intel.com> * device agnostic APIs Signed-off-by:
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- 10 Jun, 2025 1 commit
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Akash Haridas authored
* allow loading from repo with dot in name * put new arg at the end to avoid breaking compatibility * add test for loading repo with dot in name --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 26 May, 2025 3 commits
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Dhruv Nair authored
* update * update
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Sayak Paul authored
* remove compile cuda docker. * replace compile cuda docker path. * better manage compilation cache. * propagate similar to the pipeline tests. * remove unneeded compile test. * small. * don't check for deleted files.
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kaixuanliu authored
* Apply style fixes * init test Signed-off-by:
Liu, Kaixuan <kaixuan.liu@intel.com> * adjust Signed-off-by:
github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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- 15 Apr, 2025 1 commit
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Yao Matrix authored
* fix CPU offloading related fail cases on XPU Signed-off-by:
hlky <hlky@hlky.ac>
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- 09 Apr, 2025 1 commit
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Dhruv Nair authored
* update * update * update * update
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- 08 Apr, 2025 1 commit
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Benjamin Bossan authored
* [WIP][LoRA] Implement hot-swapping of LoRA This PR adds the possibility to hot-swap LoRA adapters. It is WIP. Description As of now, users can already load multiple LoRA adapters. They can offload existing adapters or they can unload them (i.e. delete them). However, they cannot "hotswap" adapters yet, i.e. substitute the weights from one LoRA adapter with the weights of another, without the need to create a separate LoRA adapter. Generally, hot-swapping may not appear not super useful but when the model is compiled, it is necessary to prevent recompilation. See #9279 for more context. Caveats To hot-swap a LoRA adapter for another, these two adapters should target exactly the same layers and the "hyper-parameters" of the two adapters should be identical. For instance, the LoRA alpha has to be the same: Given that we keep the alpha from the first adapter, the LoRA scaling would be incorrect for the second adapter otherwise. Theoretically, we could override the scaling dict with the alpha values derived from the second adapter's config, but changing the dict will trigger a guard for recompilation, defeating the main purpose of the feature. I also found that compilation flags can have an impact on whether this works or not. E.g. when passing "reduce-overhead", there will be errors of the type: > input name: arg861_1. data pointer changed from 139647332027392 to 139647331054592 I don't know enough about compilation to determine whether this is problematic or not. Current state This is obviously WIP right now to collect feedback and discuss which direction to take this. If this PR turns out to be useful, the hot-swapping functions will be added to PEFT itself and can be imported here (or there is a separate copy in diffusers to avoid the need for a min PEFT version to use this feature). Moreover, more tests need to be added to better cover this feature, although we don't necessarily need tests for the hot-swapping functionality itself, since those tests will be added to PEFT. Furthermore, as of now, this is only implemented for the unet. Other pipeline components have yet to implement this feature. Finally, it should be properly documented. I would like to collect feedback on the current state of the PR before putting more time into finalizing it. * Reviewer feedback * Reviewer feedback, adjust test * Fix, doc * Make fix * Fix for possible g++ error * Add test for recompilation w/o hotswapping * Make hotswap work Requires https://github.com/huggingface/peft/pull/2366 More changes to make hotswapping work. Together with the mentioned PEFT PR, the tests pass for me locally. List of changes: - docstring for hotswap - remove code copied from PEFT, import from PEFT now - adjustments to PeftAdapterMixin.load_lora_adapter (unfortunately, some state dict renaming was necessary, LMK if there is a better solution) - adjustments to UNet2DConditionLoadersMixin._process_lora: LMK if this is even necessary or not, I'm unsure what the overall relationship is between this and PeftAdapterMixin.load_lora_adapter - also in UNet2DConditionLoadersMixin._process_lora, I saw that there is no LoRA unloading when loading the adapter fails, so I added it there (in line with what happens in PeftAdapterMixin.load_lora_adapter) - rewritten tests to avoid shelling out, make the test more precise by making sure that the outputs align, parametrize it - also checked the pipeline code mentioned in this comment: https://github.com/huggingface/diffusers/pull/9453#issuecomment-2418508871; when running this inside the with torch._dynamo.config.patch(error_on_recompile=True) context, there is no error, so I think hotswapping is now working with pipelines. * Address reviewer feedback: - Revert deprecated method - Fix PEFT doc link to main - Don't use private function - Clarify magic numbers - Add pipeline test Moreover: - Extend docstrings - Extend existing test for outputs != 0 - Extend existing test for wrong adapter name * Change order of test decorators parameterized.expand seems to ignore skip decorators if added in last place (i.e. innermost decorator). * Split model and pipeline tests Also increase test coverage by also targeting conv2d layers (support of which was added recently on the PEFT PR). * Reviewer feedback: Move decorator to test classes ... instead of having them on each test method. * Apply suggestions from code review Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
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- 04 Mar, 2025 1 commit
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Fanli Lin authored
* initial comit * fix empty cache * fix one more * fix style * update device functions * update * update * Update src/diffusers/utils/testing_utils.py Co-authored-by:
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- 21 Jan, 2025 1 commit
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Fanli Lin authored
* initial comit * fix empty cache * fix one more * fix style * update device functions * update * update * Update src/diffusers/utils/testing_utils.py Co-authored-by:
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- 14 Jan, 2025 1 commit
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Marc Sun authored
* load and save dduf archive * style * switch to zip uncompressed * updates * Update src/diffusers/pipelines/pipeline_utils.py Co-authored-by:
Lucain <lucain@huggingface.co> * check path corectly * Apply suggestions from code review Co-authored-by:
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- 19 Dec, 2024 1 commit
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hlky authored
* Check correct model type is passed to `from_pretrained` * Flax, skip scheduler * test_wrong_model * Fix for scheduler * Update tests/pipelines/test_pipelines.py Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> * import FlaxSchedulerMixin * skip scheduler --------- Co-authored-by:
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- 19 Oct, 2024 1 commit
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bonlime authored
* Update textual_inversion.py * add unload test * add comment * fix style --------- Co-authored-by:
Your Name <you@example.com> Co-authored-by:
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- 28 Sep, 2024 1 commit
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Sayak Paul authored
* fix variant-idenitification. * fix variant * fix sharded variant checkpoint loading. * Apply suggestions from code review * fixes. * more fixes. * remove print. * fixes * fixes * comments * fixes * apply suggestions. * hub_utils.py * fix test * updates * fixes * fixes * Apply suggestions from code review Co-authored-by:
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- 19 Aug, 2024 1 commit
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Dhruv Nair authored
* update * update * update * update * update
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- 24 Jul, 2024 1 commit
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Dhruv Nair authored
update
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- 26 Jun, 2024 1 commit
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Dhruv Nair authored
* update * update --------- Co-authored-by:
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- 07 Jun, 2024 1 commit
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Sayak Paul authored
* 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:
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- 29 Mar, 2024 1 commit
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Dhruv Nair authored
* update * update --------- Co-authored-by:
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- 26 Mar, 2024 1 commit
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Sayak Paul authored
skip dynamo tests when python is 3.12.
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- 25 Mar, 2024 1 commit
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M. Tolga Cangöz authored
* Fix typos * Fix typos * Fix typos --------- Co-authored-by:
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- 14 Mar, 2024 1 commit
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M. Tolga Cangöz authored
* Add properties and `IPAdapterTesterMixin` tests for `StableDiffusionPanoramaPipeline` * Fix variable name typo and update comments * Update deprecated `output_type="numpy"` to "np" in test files * Discard changes to src/diffusers/pipelines/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py * Update test_stable_diffusion_panorama.py * Update numbers in README.md * Update get_guidance_scale_embedding method to use timesteps instead of w * Update number of checkpoints in README.md * Add type hints and fix var name * Fix PyTorch's convention for inplace functions * Fix a typo * Revert "Fix PyTorch's convention for inplace functions" This reverts commit 74350cf65b2c9aa77f08bec7937d7a8b13edb509. * Fix typos * Indent * Refactor get_guidance_scale_embedding method in LEditsPPPipelineStableDiffusionXL class
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- 08 Feb, 2024 2 commits
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Sayak Paul authored
change to 2024
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Sayak Paul authored
* remove torch_dtype from to() * remove torch_dtype from usage scripts. * remove old lora backend * Revert "remove old lora backend" This reverts commit adcddf6ba421f847e7da2a0ce57b9456cae43356.
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- 27 Nov, 2023 1 commit
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YiYi Xu authored
Co-authored-by:yiyixuxu <yixu310@gmail,com>
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- 21 Nov, 2023 1 commit
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YiYi Xu authored
* add ip-adapter --------- Co-authored-by:
okotaku <to78314910@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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- 10 Nov, 2023 1 commit
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Sayak Paul authored
* post release * fix: variant test * up * fix: test
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- 26 Oct, 2023 1 commit
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Patrick von Platen authored
* upload custom remote poc * up * make style * finish * better name * Apply suggestions from code review * Update tests/pipelines/test_pipelines.py * more fixes * remove ipdb * more fixes * fix more * finish tests --------- Co-authored-by:
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- 26 Sep, 2023 1 commit
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Dhruv Nair authored
* test fix * fix tests * fix report name --------- Co-authored-by:
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- 25 Sep, 2023 2 commits
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Anh71me authored
* Fix type annotation on Scheduler.from_pretrained * Fix type annotation on PIL.Image
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Patrick von Platen authored
* fix cpu offload * fix * fix * Update src/diffusers/pipelines/pipeline_utils.py * make style * Apply suggestions from code review Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * fix more * fix more --------- Co-authored-by:
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- 11 Sep, 2023 2 commits
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Patrick von Platen authored
* Make sure Flax pipelines can be loaded into PyTorch * add test * Update src/diffusers/pipelines/pipeline_utils.py
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Dhruv Nair authored
* initial commit * move modules to import struct * add dummy objects and _LazyModule * add lazy import to schedulers * clean up unused imports * lazy import on models module * lazy import for schedulers module * add lazy import to pipelines module * lazy import altdiffusion * lazy import audio diffusion * lazy import audioldm * lazy import consistency model * lazy import controlnet * lazy import dance diffusion ddim ddpm * lazy import deepfloyd * lazy import kandinksy * lazy imports * lazy import semantic diffusion * lazy imports * lazy import stable diffusion * move sd output to its own module * clean up * lazy import t2iadapter * lazy import unclip * lazy import versatile and vq diffsuion * lazy import vq diffusion * helper to fetch objects from modules * lazy import sdxl * lazy import txt2vid * lazy import stochastic karras * fix model imports * fix bug * lazy import * clean up * clean up * fixes for tests * fixes for tests * clean up * remove import of torch_utils from utils module * clean up * clean up * fix mistake import statement * dedicated modules for exporting and loading * remove testing utils from utils module * fixes from merge conflicts * Update src/diffusers/pipelines/kandinsky2_2/__init__.py * fix docs * fix alt diffusion copied from * fix check dummies * fix more docs * remove accelerate import from utils module * add type checking * make style * fix check dummies * remove torch import from xformers check * clean up error message * fixes after upstream merges * dummy objects fix * fix tests * remove unused module import --------- Co-authored-by:
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- 24 Aug, 2023 1 commit
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Dhruv Nair authored
use max diff to compare model outputs
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- 17 Aug, 2023 2 commits
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Jacqui Wei authored
Fix `use_onnx` parameter usage in `from_pretrained` func and update `test_download_no_onnx_by_default` test (#4508) * add missing use_onnx in from_pretrained func * fix test_download_no_onnx_by_default test func * address comments * split test cases
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Patrick von Platen authored
* make safetensors default * set default save method as safetensors * update tests * update to support saving safetensors * update test to account for safetensors default * update example tests to use safetensors * update example to support safetensors * update unet tests for safetensors * fix failing loader tests * fix qc issues * fix pipeline tests * fix example test --------- Co-authored-by:
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- 11 Aug, 2023 1 commit
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Abhipsha Das authored
* [WIP] Remove code snippets containing `is_safetensors_available()` * Modifying `import_utils.py` * update pipeline tests for safetensor default * fix test related to cached requests * address import nits --------- Co-authored-by:
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