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Fix StableDiffusionInstructPix2PixPipelineSingleFileSlowTests (#10557)
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@@ -186,6 +186,7 @@ DIFFUSERS_TO_LDM_DEFAULT_IMAGE_SIZE_MAP = {
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"inpainting": 512,
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"inpainting_v2": 512,
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"controlnet": 512,
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"instruct-pix2pix": 512,
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"v2": 768,
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"v1": 512,
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}
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@@ -47,6 +47,8 @@ def download_diffusers_config(repo_id, tmpdir):
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class SDSingleFileTesterMixin:
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single_file_kwargs = {}
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def _compare_component_configs(self, pipe, single_file_pipe):
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for param_name, param_value in single_file_pipe.text_encoder.config.to_dict().items():
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if param_name in ["torch_dtype", "architectures", "_name_or_path"]:
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@@ -154,7 +156,7 @@ class SDSingleFileTesterMixin:
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self._compare_component_configs(pipe, single_file_pipe)
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def test_single_file_format_inference_is_same_as_pretrained(self, expected_max_diff=1e-4):
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sf_pipe = self.pipeline_class.from_single_file(self.ckpt_path, safety_checker=None)
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sf_pipe = self.pipeline_class.from_single_file(self.ckpt_path, safety_checker=None, **self.single_file_kwargs)
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sf_pipe.unet.set_attn_processor(AttnProcessor())
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sf_pipe.enable_model_cpu_offload(device=torch_device)
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@@ -170,7 +172,7 @@ class SDSingleFileTesterMixin:
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max_diff = numpy_cosine_similarity_distance(image.flatten(), image_single_file.flatten())
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assert max_diff < expected_max_diff
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assert max_diff < expected_max_diff, f"{image.flatten()} != {image_single_file.flatten()}"
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def test_single_file_components_with_diffusers_config(
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self,
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@@ -132,6 +132,7 @@ class StableDiffusionInstructPix2PixPipelineSingleFileSlowTests(unittest.TestCas
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"https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/refs/heads/main/configs/generate.yaml"
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)
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repo_id = "timbrooks/instruct-pix2pix"
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single_file_kwargs = {"extract_ema": True}
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def setUp(self):
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super().setUp()
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