[tests] refactor UNet model tests to align with the new pattern by sayakpaul · Pull Request #13153 · huggingface/diffusers

sayakpaul · 2026-02-16T10:16:59Z

What does this PR do?

Some comments in-line. I have run the tests locally and all of them pass.

This reverts commit 46d44b7.

Refactor UNet1D model tests to follow the modern testing pattern using BaseModelTesterConfig and focused mixin classes (ModelTesterMixin, MemoryTesterMixin, TrainingTesterMixin, LoraTesterMixin). Both UNet1D standard and RL variants now have separate config classes and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Refactor UNet2D model tests (standard, LDM, NCSN++) to follow the modern testing pattern. Each variant gets its own config class and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

…ing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

…ing mixins Refactor UNetControlNetXSModel tests to follow the modern testing pattern with separate classes for core, memory, training, and LoRA. Specialized tests (from_unet, freeze_unet, forward_no_control, time_embedding_mixing) remain in the core test class. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

…sting mixins Refactored the spatiotemporal UNet test file to follow the modern modular testing pattern with BaseModelTesterConfig and focused test classes: - UNetSpatioTemporalTesterConfig: Base configuration with model setup - TestUNetSpatioTemporal: Core model tests (ModelTesterMixin, UNetTesterMixin) - TestUNetSpatioTemporalAttention: Attention-related tests (AttentionTesterMixin) - TestUNetSpatioTemporalMemory: Memory/offloading tests (MemoryTesterMixin) - TestUNetSpatioTemporalTraining: Training tests (TrainingTesterMixin) - TestUNetSpatioTemporalLoRA: LoRA adapter tests (LoraTesterMixin) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

sayakpaul · 2026-02-16T10:57:47Z

- image = model(**self.get_dummy_inputs(), return_dict=False)[0]
- new_image = new_model(**self.get_dummy_inputs(), return_dict=False)[0]
+ inputs_dict = self.get_dummy_inputs()
+ image = model(**inputs_dict, return_dict=False)[0]
+ new_image = new_model(**inputs_dict, return_dict=False)[0]


To ensure reproducibility.

sayakpaul · 2026-02-16T10:58:17Z

- if self.model_class.__name__ == "UNet2DConditionModel":
- recompile_limit = 2
-


Not needed as we pass recompile_limit explicitly now.

sayakpaul · 2026-02-16T10:58:39Z

 with pytest.raises(RuntimeError, match=msg):
 model.enable_lora_hotswap(target_rank=32)

- def test_enable_lora_hotswap_called_after_adapter_added_warning(self, caplog):


It was needed because caplog doesn't capture these warnings properly.

sayakpaul · 2026-04-12T06:53:58Z

@DN6 a gentle ping.

sayakpaul · 2026-06-07T15:43:20Z

@dg845 a gentle ping.

dg845

Thanks for the PR! Can you fix the merge conflicts?

This reverts commit 41b036b.

* refactor unet2d condition model tests. * fix tests * up * fix * Revert "fix" This reverts commit 46d44b7. * up * recompile limit * [tests] refactor test_models_unet_1d.py to use modular testing mixins Refactor UNet1D model tests to follow the modern testing pattern using BaseModelTesterConfig and focused mixin classes (ModelTesterMixin, MemoryTesterMixin, TrainingTesterMixin, LoraTesterMixin). Both UNet1D standard and RL variants now have separate config classes and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_2d.py to use modular testing mixins Refactor UNet2D model tests (standard, LDM, NCSN++) to follow the modern testing pattern. Each variant gets its own config class and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_3d_condition.py to use modular testing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_controlnetxs.py to use modular testing mixins Refactor UNetControlNetXSModel tests to follow the modern testing pattern with separate classes for core, memory, training, and LoRA. Specialized tests (from_unet, freeze_unet, forward_no_control, time_embedding_mixing) remain in the core test class. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_spatiotemporal.py to use modular testing mixins Refactored the spatiotemporal UNet test file to follow the modern modular testing pattern with BaseModelTesterConfig and focused test classes: - UNetSpatioTemporalTesterConfig: Base configuration with model setup - TestUNetSpatioTemporal: Core model tests (ModelTesterMixin, UNetTesterMixin) - TestUNetSpatioTemporalAttention: Attention-related tests (AttentionTesterMixin) - TestUNetSpatioTemporalMemory: Memory/offloading tests (MemoryTesterMixin) - TestUNetSpatioTemporalTraining: Training tests (TrainingTesterMixin) - TestUNetSpatioTemporalLoRA: LoRA adapter tests (LoraTesterMixin) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * remove test suites that are passed. * fix consistencydecodervae tests * Revert "fix consistencydecodervae tests" This reverts commit 41b036b. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* update * update * update * update * [CI] Refactor SD3 Transformer Test (#13340) * update * update --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * refactor unet tests (3d_condition, motion, controlnetxs) (#13897) * refactor unet_3d_condition tests * refactor unet_motion tests * refactor unet_controlnetxs tests * refactor unet_1d tests (#13898) * refactor unet_1d tests * use per-sample output_shape for unet_1d tests --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * refactor unet_2d tests (#13901) Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * [chore] log quant config to the user_agent (#13850) log quant config to the user_agent * Integrate AutoRound into Diffusers (#13552) * support auto_round Signed-off-by: Xin He <xin3.he@intel.com> * add document and unit tests Signed-off-by: Xin He <xin3.he@intel.com> * fix CI Signed-off-by: Xin He <xin3.he@intel.com> * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * update document and overwrite the default quantization_config with specified backend. Signed-off-by: Xin He <xin3.he@intel.com> * add UT and fix bug Signed-off-by: Xin He <xin3.he@intel.com> * update per comments Signed-off-by: Xin He <xin3.he@intel.com> * update per comments Signed-off-by: Xin He <xin3.he@intel.com> * fix compile error in doc Signed-off-by: Xin He <xin3.he@intel.com> * Apply style fixes * small nits * Add auto_round dependency to the versions table Signed-off-by: Xin He <xin3.he@intel.com> * fix make deps_table_check_updated Signed-off-by: Xin He <xin3.he@intel.com> * fix CI Signed-off-by: Xin He <xin3.he@intel.com> --------- Signed-off-by: Xin He <xin3.he@intel.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * [tests] refactor UNet model tests to align with the new pattern (#13153) * refactor unet2d condition model tests. * fix tests * up * fix * Revert "fix" This reverts commit 46d44b7. * up * recompile limit * [tests] refactor test_models_unet_1d.py to use modular testing mixins Refactor UNet1D model tests to follow the modern testing pattern using BaseModelTesterConfig and focused mixin classes (ModelTesterMixin, MemoryTesterMixin, TrainingTesterMixin, LoraTesterMixin). Both UNet1D standard and RL variants now have separate config classes and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_2d.py to use modular testing mixins Refactor UNet2D model tests (standard, LDM, NCSN++) to follow the modern testing pattern. Each variant gets its own config class and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_3d_condition.py to use modular testing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_controlnetxs.py to use modular testing mixins Refactor UNetControlNetXSModel tests to follow the modern testing pattern with separate classes for core, memory, training, and LoRA. Specialized tests (from_unet, freeze_unet, forward_no_control, time_embedding_mixing) remain in the core test class. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_spatiotemporal.py to use modular testing mixins Refactored the spatiotemporal UNet test file to follow the modern modular testing pattern with BaseModelTesterConfig and focused test classes: - UNetSpatioTemporalTesterConfig: Base configuration with model setup - TestUNetSpatioTemporal: Core model tests (ModelTesterMixin, UNetTesterMixin) - TestUNetSpatioTemporalAttention: Attention-related tests (AttentionTesterMixin) - TestUNetSpatioTemporalMemory: Memory/offloading tests (MemoryTesterMixin) - TestUNetSpatioTemporalTraining: Training tests (TrainingTesterMixin) - TestUNetSpatioTemporalLoRA: LoRA adapter tests (LoraTesterMixin) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * remove test suites that are passed. * fix consistencydecodervae tests * Revert "fix consistencydecodervae tests" This reverts commit 41b036b. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * [tests] fix vidtok tests (#13894) * fix vidtok tests * style * Update tests/models/autoencoders/test_models_autoencoder_vidtok.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Apply style fixes --------- Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> * clean up --------- Signed-off-by: Xin He <xin3.he@intel.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Akshan Krithick <97239696+akshan-main@users.noreply.github.com> Co-authored-by: Xin He <xin3.he@intel.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* refactor unet2d condition model tests. * fix tests * up * fix * Revert "fix" This reverts commit 46d44b7. * up * recompile limit * [tests] refactor test_models_unet_1d.py to use modular testing mixins Refactor UNet1D model tests to follow the modern testing pattern using BaseModelTesterConfig and focused mixin classes (ModelTesterMixin, MemoryTesterMixin, TrainingTesterMixin, LoraTesterMixin). Both UNet1D standard and RL variants now have separate config classes and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_2d.py to use modular testing mixins Refactor UNet2D model tests (standard, LDM, NCSN++) to follow the modern testing pattern. Each variant gets its own config class and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_3d_condition.py to use modular testing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_controlnetxs.py to use modular testing mixins Refactor UNetControlNetXSModel tests to follow the modern testing pattern with separate classes for core, memory, training, and LoRA. Specialized tests (from_unet, freeze_unet, forward_no_control, time_embedding_mixing) remain in the core test class. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_spatiotemporal.py to use modular testing mixins Refactored the spatiotemporal UNet test file to follow the modern modular testing pattern with BaseModelTesterConfig and focused test classes: - UNetSpatioTemporalTesterConfig: Base configuration with model setup - TestUNetSpatioTemporal: Core model tests (ModelTesterMixin, UNetTesterMixin) - TestUNetSpatioTemporalAttention: Attention-related tests (AttentionTesterMixin) - TestUNetSpatioTemporalMemory: Memory/offloading tests (MemoryTesterMixin) - TestUNetSpatioTemporalTraining: Training tests (TrainingTesterMixin) - TestUNetSpatioTemporalLoRA: LoRA adapter tests (LoraTesterMixin) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * remove test suites that are passed. * fix consistencydecodervae tests * Revert "fix consistencydecodervae tests" This reverts commit 41b036b. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* update * update * update * update * [CI] Refactor SD3 Transformer Test (#13340) * update * update --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * refactor unet tests (3d_condition, motion, controlnetxs) (#13897) * refactor unet_3d_condition tests * refactor unet_motion tests * refactor unet_controlnetxs tests * refactor unet_1d tests (#13898) * refactor unet_1d tests * use per-sample output_shape for unet_1d tests --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * refactor unet_2d tests (#13901) Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * [chore] log quant config to the user_agent (#13850) log quant config to the user_agent * Integrate AutoRound into Diffusers (#13552) * support auto_round Signed-off-by: Xin He <xin3.he@intel.com> * add document and unit tests Signed-off-by: Xin He <xin3.he@intel.com> * fix CI Signed-off-by: Xin He <xin3.he@intel.com> * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * update document and overwrite the default quantization_config with specified backend. Signed-off-by: Xin He <xin3.he@intel.com> * add UT and fix bug Signed-off-by: Xin He <xin3.he@intel.com> * update per comments Signed-off-by: Xin He <xin3.he@intel.com> * update per comments Signed-off-by: Xin He <xin3.he@intel.com> * fix compile error in doc Signed-off-by: Xin He <xin3.he@intel.com> * Apply style fixes * small nits * Add auto_round dependency to the versions table Signed-off-by: Xin He <xin3.he@intel.com> * fix make deps_table_check_updated Signed-off-by: Xin He <xin3.he@intel.com> * fix CI Signed-off-by: Xin He <xin3.he@intel.com> --------- Signed-off-by: Xin He <xin3.he@intel.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * [tests] refactor UNet model tests to align with the new pattern (#13153) * refactor unet2d condition model tests. * fix tests * up * fix * Revert "fix" This reverts commit 46d44b7. * up * recompile limit * [tests] refactor test_models_unet_1d.py to use modular testing mixins Refactor UNet1D model tests to follow the modern testing pattern using BaseModelTesterConfig and focused mixin classes (ModelTesterMixin, MemoryTesterMixin, TrainingTesterMixin, LoraTesterMixin). Both UNet1D standard and RL variants now have separate config classes and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_2d.py to use modular testing mixins Refactor UNet2D model tests (standard, LDM, NCSN++) to follow the modern testing pattern. Each variant gets its own config class and dedicated test classes organized by concern (core, memory, training, LoRA, hub loading). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_3d_condition.py to use modular testing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_controlnetxs.py to use modular testing mixins Refactor UNetControlNetXSModel tests to follow the modern testing pattern with separate classes for core, memory, training, and LoRA. Specialized tests (from_unet, freeze_unet, forward_no_control, time_embedding_mixing) remain in the core test class. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * [tests] refactor test_models_unet_spatiotemporal.py to use modular testing mixins Refactored the spatiotemporal UNet test file to follow the modern modular testing pattern with BaseModelTesterConfig and focused test classes: - UNetSpatioTemporalTesterConfig: Base configuration with model setup - TestUNetSpatioTemporal: Core model tests (ModelTesterMixin, UNetTesterMixin) - TestUNetSpatioTemporalAttention: Attention-related tests (AttentionTesterMixin) - TestUNetSpatioTemporalMemory: Memory/offloading tests (MemoryTesterMixin) - TestUNetSpatioTemporalTraining: Training tests (TrainingTesterMixin) - TestUNetSpatioTemporalLoRA: LoRA adapter tests (LoraTesterMixin) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * remove test suites that are passed. * fix consistencydecodervae tests * Revert "fix consistencydecodervae tests" This reverts commit 41b036b. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * [tests] fix vidtok tests (#13894) * fix vidtok tests * style * Update tests/models/autoencoders/test_models_autoencoder_vidtok.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Apply style fixes --------- Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> * clean up --------- Signed-off-by: Xin He <xin3.he@intel.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Akshan Krithick <97239696+akshan-main@users.noreply.github.com> Co-authored-by: Xin He <xin3.he@intel.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

sayakpaul added 8 commits February 16, 2026 10:08

refactor unet2d condition model tests.
14439ab

fix tests
0e42a3f

up
2b67fb6

fix
46d44b7

Revert "fix"
3371560
This reverts commit 46d44b7.

up
ca4a7b0

Merge branch 'main' into unet-model-tests-refactor
3a61081

recompile limit
ea08148

sayakpaul requested a review from DN6 February 16, 2026 10:16

sayakpauland others added 5 commits February 16, 2026 16:05

[tests] refactor test_models_unet_3d_condition.py to use modular test…
ecbaed7
…ing mixins Refactor UNet3DConditionModel tests to follow the modern testing pattern with separate classes for core, attention, memory, training, and LoRA. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

sayakpaul commented Feb 16, 2026
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sayakpaul added 5 commits February 16, 2026 16:36

remove test suites that are passed.
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Merge branch 'main' into unet-model-tests-refactor
ecfd3b4

Merge branch 'main' into unet-model-tests-refactor
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resolve conflicts
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Merge branch 'main' into unet-model-tests-refactor
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github-actionsBot added tests size/L PR with diff > 200 LOC labels Apr 12, 2026

Merge branch 'main' into unet-model-tests-refactor
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sayakpaul requested a review from dg845 May 27, 2026 02:54

sayakpaul added 2 commits May 27, 2026 08:24

Merge branch 'main' into unet-model-tests-refactor
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Merge branch 'main' into unet-model-tests-refactor
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akshan-main mentioned this pull request May 28, 2026
refactor sana transformer tests #13826
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Merge branch 'main' into unet-model-tests-refactor
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This was referenced May 30, 2026
refactor autoencoder tests (asymmetric_kl, ltx_video) #13845
Merged
refactor controlnet_cosmos tests #13847
Merged
refactor autoencoder tests (vq, kvae_video, oobleck, consistency_decoder, tiny, vidtok) #13849
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sayakpaul added 2 commits June 4, 2026 17:09

Merge branch 'main' into unet-model-tests-refactor
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Merge branch 'main' into unet-model-tests-refactor
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Merge branch 'main' into unet-model-tests-refactor
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This was referenced Jun 9, 2026
refactor unet_spatiotemporal tests #13891
Merged
refactor unet tests (3d_condition, motion, controlnetxs) #13897
Merged
refactor unet_1d tests #13898
Merged
refactor unet_2d tests #13901
Merged
refactor unet_2d_condition tests #13902
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dg845 approved these changes Jun 10, 2026
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sayakpaul added 5 commits June 10, 2026 05:12

resolve conflicts
4c9a27d

Merge branch 'main' into unet-model-tests-refactor
e0a6bb4

fix consistencydecodervae tests
41b036b

Revert "fix consistencydecodervae tests"
43d5d34
This reverts commit 41b036b.

Merge branch 'main' into unet-model-tests-refactor
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sayakpaul merged commit 1c7f759 into mainJun 10, 2026
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sayakpaul deleted the unet-model-tests-refactor branch June 10, 2026 07:03

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[tests] refactor UNet model tests to align with the new pattern - #13153

[tests] refactor UNet model tests to align with the new pattern#13153
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		if self.model_class.__name__ == "UNet2DConditionModel":
		recompile_limit = 2

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