PipelineTesterMixin parameter configuration refactor

tests/pipeline_params.py

@@ -0,0 +1,104 @@
+# These are canonical sets of parameters for different types of pipelines.
+# They are set on subclasses of `PipelineTesterMixin` as `params` and
+# `batch_params`.
+#
+# If a pipeline's set of arguments has minor changes from one of the common sets
+# of arguments, do not make modifications to the existing common sets of arguments.
+# I.e. a text to image pipeline with non-configurable height and width arguments
+# should set its attribute as `params = TEXT_TO_IMAGE_PARAMS - {'height', 'width'}`.
+
+TEXT_TO_IMAGE_PARAMS = frozenset(
+    [
+        "prompt",
+        "height",
+        "width",
+        "guidance_scale",
+        "negative_prompt",
+        "prompt_embeds",
+        "negative_prompt_embeds",
+        "cross_attention_kwargs",
+    ]
+)
+
+TEXT_TO_IMAGE_BATCH_PARAMS = frozenset(["prompt", "negative_prompt"])
+
+IMAGE_VARIATION_PARAMS = frozenset(
+    [
+        "image",
+        "height",
+        "width",
+        "guidance_scale",
+    ]
+)
+
+IMAGE_VARIATION_BATCH_PARAMS = frozenset(["image"])
+
+TEXT_GUIDED_IMAGE_VARIATION_PARAMS = frozenset(
+    [
+        "prompt",
+        "image",
+        "height",
+        "width",
+        "guidance_scale",
+        "negative_prompt",
+        "prompt_embeds",
+        "negative_prompt_embeds",
+    ]
+)
+
+TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS = frozenset(["prompt", "image", "negative_prompt"])
+
+TEXT_GUIDED_IMAGE_INPAINTING_PARAMS = frozenset(
+    [
+        # Text guided image variation with an image mask
+        "prompt",
+        "image",
+        "mask_image",
+        "height",
+        "width",
+        "guidance_scale",
+        "negative_prompt",
+        "prompt_embeds",
+        "negative_prompt_embeds",
+    ]
+)
+
+TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS = frozenset(["prompt", "image", "mask_image", "negative_prompt"])
+
+IMAGE_INPAINTING_PARAMS = frozenset(
+    [
+        # image variation with an image mask
+        "image",
+        "mask_image",
+        "height",
+        "width",
+        "guidance_scale",
+    ]
+)
+
+IMAGE_INPAINTING_BATCH_PARAMS = frozenset(["image", "mask_image"])
+
+IMAGE_GUIDED_IMAGE_INPAINTING_PARAMS = frozenset(
+    [
+        "example_image",
+        "image",
+        "mask_image",
+        "height",
+        "width",
+        "guidance_scale",
+    ]
+)
+
+IMAGE_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS = frozenset(["example_image", "image", "mask_image"])
+
+CLASS_CONDITIONED_IMAGE_GENERATION_PARAMS = frozenset(["class_labels"])
+
+CLASS_CONDITIONED_IMAGE_GENERATION_BATCH_PARAMS = frozenset(["class_labels"])
+
+UNCONDITIONAL_IMAGE_GENERATION_PARAMS = frozenset(["batch_size"])
+
+UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS = frozenset([])
+
+UNCONDITIONAL_AUDIO_GENERATION_PARAMS = frozenset(["batch_size"])
+
+UNCONDITIONAL_AUDIO_GENERATION_BATCH_PARAMS = frozenset([])

tests/pipelines/altdiffusion/test_alt_diffusion.py

@@ -28,6 +28,7 @@
 from diffusers.utils import slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -36,6 +37,8 @@
 
 class AltDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = AltDiffusionPipeline
+    params = TEXT_TO_IMAGE_PARAMS
+    batch_params = TEXT_TO_IMAGE_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/dance_diffusion/test_dance_diffusion.py

@@ -23,6 +23,7 @@
 from diffusers.utils import slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu, skip_mps
 
+from ...pipeline_params import UNCONDITIONAL_AUDIO_GENERATION_BATCH_PARAMS, UNCONDITIONAL_AUDIO_GENERATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -31,6 +32,15 @@
 
 class DanceDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = DanceDiffusionPipeline
+    params = UNCONDITIONAL_AUDIO_GENERATION_PARAMS
+    required_optional_params = PipelineTesterMixin.required_optional_params - {
+        "callback",
+        "latents",
+        "callback_steps",
+        "output_type",
+        "num_images_per_prompt",
+    }
+    batch_params = UNCONDITIONAL_AUDIO_GENERATION_BATCH_PARAMS
     test_attention_slicing = False
     test_cpu_offload = False
 

tests/pipelines/ddim/test_ddim.py

@@ -21,6 +21,7 @@
 from diffusers import DDIMPipeline, DDIMScheduler, UNet2DModel
 from diffusers.utils.testing_utils import require_torch_gpu, slow, torch_device
 
+from ...pipeline_params import UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS, UNCONDITIONAL_IMAGE_GENERATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -29,6 +30,14 @@
 
 class DDIMPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = DDIMPipeline
+    params = UNCONDITIONAL_IMAGE_GENERATION_PARAMS
+    required_optional_params = PipelineTesterMixin.required_optional_params - {
+        "num_images_per_prompt",
+        "latents",
+        "callback",
+        "callback_steps",
+    }
+    batch_params = UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS
     test_cpu_offload = False
 
     def get_dummy_components(self):

tests/pipelines/dit/test_dit.py

@@ -23,6 +23,10 @@
 from diffusers.utils import load_numpy, slow
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import (
+    CLASS_CONDITIONED_IMAGE_GENERATION_BATCH_PARAMS,
+    CLASS_CONDITIONED_IMAGE_GENERATION_PARAMS,
+)
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -31,6 +35,14 @@
 
 class DiTPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = DiTPipeline
+    params = CLASS_CONDITIONED_IMAGE_GENERATION_PARAMS
+    required_optional_params = PipelineTesterMixin.required_optional_params - {
+        "latents",
+        "num_images_per_prompt",
+        "callback",
+        "callback_steps",
+    }
+    batch_params = CLASS_CONDITIONED_IMAGE_GENERATION_BATCH_PARAMS
     test_cpu_offload = False
 
     def get_dummy_components(self):

tests/pipelines/latent_diffusion/test_latent_diffusion.py

@@ -23,6 +23,7 @@
 from diffusers import AutoencoderKL, DDIMScheduler, LDMTextToImagePipeline, UNet2DConditionModel
 from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, slow, torch_device
 
+from ...pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -31,6 +32,18 @@
 
 class LDMTextToImagePipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = LDMTextToImagePipeline
+    params = TEXT_TO_IMAGE_PARAMS - {
+        "negative_prompt",
+        "negative_prompt_embeds",
+        "cross_attention_kwargs",
+        "prompt_embeds",
+    }
+    required_optional_params = PipelineTesterMixin.required_optional_params - {
+        "num_images_per_prompt",
+        "callback",
+        "callback_steps",
+    }
+    batch_params = TEXT_TO_IMAGE_BATCH_PARAMS
     test_cpu_offload = False
 
     def get_dummy_components(self):

tests/pipelines/paint_by_example/test_paint_by_example.py

@@ -27,6 +27,7 @@
 from diffusers.utils import floats_tensor, load_image, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import IMAGE_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS, IMAGE_GUIDED_IMAGE_INPAINTING_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -35,12 +36,8 @@
 
 class PaintByExamplePipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = PaintByExamplePipeline
-
-    def tearDown(self):
-        # clean up the VRAM after each test
-        super().tearDown()
-        gc.collect()
-        torch.cuda.empty_cache()
+    params = IMAGE_GUIDED_IMAGE_INPAINTING_PARAMS
+    batch_params = IMAGE_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/repaint/test_repaint.py

@@ -22,6 +22,7 @@
 from diffusers import RePaintPipeline, RePaintScheduler, UNet2DModel
 from diffusers.utils.testing_utils import load_image, load_numpy, nightly, require_torch_gpu, skip_mps, torch_device
 
+from ...pipeline_params import IMAGE_INPAINTING_BATCH_PARAMS, IMAGE_INPAINTING_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -30,6 +31,14 @@
 
 class RepaintPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = RePaintPipeline
+    params = IMAGE_INPAINTING_PARAMS - {"width", "height", "guidance_scale"}
+    required_optional_params = PipelineTesterMixin.required_optional_params - {
+        "latents",
+        "num_images_per_prompt",
+        "callback",
+        "callback_steps",
+    }
+    batch_params = IMAGE_INPAINTING_BATCH_PARAMS
     test_cpu_offload = False
 
     def get_dummy_components(self):

tests/pipelines/stable_diffusion/test_cycle_diffusion.py

@@ -25,6 +25,7 @@
 from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu, skip_mps
 
+from ...pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -33,6 +34,14 @@
 
 class CycleDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = CycleDiffusionPipeline
+    params = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {
+        "negative_prompt",
+        "height",
+        "width",
+        "negative_prompt_embeds",
+    }
+    required_optional_params = PipelineTesterMixin.required_optional_params - {"latents"}
+    batch_params = TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion.py

@@ -39,6 +39,7 @@
 from diffusers.utils.testing_utils import CaptureLogger, require_torch_gpu
 
 from ...models.test_models_unet_2d_condition import create_lora_layers
+from ...pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -47,6 +48,8 @@
 
 class StableDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionPipeline
+    params = TEXT_TO_IMAGE_PARAMS
+    batch_params = TEXT_TO_IMAGE_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion_image_variation.py

@@ -32,6 +32,7 @@
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import IMAGE_VARIATION_BATCH_PARAMS, IMAGE_VARIATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -40,6 +41,8 @@
 
 class StableDiffusionImageVariationPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionImageVariationPipeline
+    params = IMAGE_VARIATION_PARAMS
+    batch_params = IMAGE_VARIATION_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py

@@ -33,6 +33,7 @@
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu, skip_mps
 
+from ...pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -41,6 +42,9 @@
 
 class StableDiffusionImg2ImgPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionImg2ImgPipeline
+    params = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"height", "width"}
+    required_optional_params = PipelineTesterMixin.required_optional_params - {"latents"}
+    batch_params = TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py

@@ -34,6 +34,7 @@
 from diffusers.utils import floats_tensor, load_image, load_numpy, nightly, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS, TEXT_GUIDED_IMAGE_INPAINTING_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -42,6 +43,8 @@
 
 class StableDiffusionInpaintPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionInpaintPipeline
+    params = TEXT_GUIDED_IMAGE_INPAINTING_PARAMS
+    batch_params = TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion_instruction_pix2pix.py

@@ -34,6 +34,7 @@
 from diffusers.utils import floats_tensor, load_image, slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu
 
+from ...pipeline_params import TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -42,6 +43,8 @@
 
 class StableDiffusionInstructPix2PixPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionInstructPix2PixPipeline
+    params = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"height", "width", "cross_attention_kwargs"}
+    batch_params = TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)

tests/pipelines/stable_diffusion/test_stable_diffusion_panorama.py

@@ -32,6 +32,7 @@
 from diffusers.utils import slow, torch_device
 from diffusers.utils.testing_utils import require_torch_gpu, skip_mps
 
+from ...pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ...test_pipelines_common import PipelineTesterMixin
 
 
@@ -41,6 +42,8 @@
 @skip_mps
 class StableDiffusionPanoramaPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionPanoramaPipeline
+    params = TEXT_TO_IMAGE_PARAMS
+    batch_params = TEXT_TO_IMAGE_BATCH_PARAMS
 
     def get_dummy_components(self):
         torch.manual_seed(0)