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mirror of https://github.com/huggingface/diffusers.git synced 2026-10-24 20:59:27 +03:00

5 Commits

Author SHA1 Message Date
Sayak Paul
d5baa4fb54 tests: fix cuda model tests. (#14464)
* tests: fix cuda model tests.

* up

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* add to docstrings.

* restore previous beehaviour.

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Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
2026-08-15 16:56:06 +02:00
Sayak Paul
5f33428194 update licensing for others to 2026. (#14128)
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
2026-07-08 07:40:20 +05:30
Sayak Paul
1c7f759d84 [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 46d44b73d8.

* 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 41b036b989.

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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
2026-06-10 12:33:34 +05:30
Sayak Paul
e390646f25 [tests] accept recompile_limit from the user in tests (#13150)
accept recompile_limit from the user in tests
2026-02-16 14:48:21 +05:30
Dhruv Nair
0b76728e27 Refactor Model Tests (#12822)
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
2026-02-02 18:51:44 +05:30