[tests] refactor stable diffusion pipeline tests - #14339
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sayakpaul wants to merge 3 commits into
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Nice work |
Cyb3rLab5
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Aug 1, 2026
DN6
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Aug 7, 2026
| @require_torch_accelerator | ||
| class StableDiffusionPipelineSlowTests(unittest.TestCase): | ||
| def setUp(self): | ||
| class TestStableDiffusionPipelineSlow: |
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I say we just consolidate all tests that use real checkpoints under the nightly decorator.
| image_params = IMAGE_TO_IMAGE_IMAGE_PARAMS | ||
| image_latents_params = IMAGE_TO_IMAGE_IMAGE_PARAMS | ||
| callback_cfg_params = TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS | ||
| required_input_params_in_call_signature = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"height", "width"} |
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Nit. Instead of this set manipulation, I prefer just defining the frozen_set explicitly. It is easier to understand.
| inputs = self.get_dummy_inputs(device) | ||
| image = sd_pipe(**inputs).images | ||
| original_image_slice = image[0, -3:, -3:, -1] | ||
| original_image_slice = sd_pipe(**self.get_dummy_inputs()).images[0, -1, -3:, -3:] |
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Let's use cached pipeline output?
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