68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
import os
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from mflux.config.config import Config
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from mflux.config.model_config import ModelConfig
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from mflux.models.flux.variants.fill.flux_fill import Flux1Fill
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from mflux.ui import defaults as ui_defaults
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from mflux.utils.image_compare import ImageCompare
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from tests.image_generation.helpers.image_generation_test_helper import ImageGeneratorTestHelper
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class ImageGeneratorFillTestHelper:
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@staticmethod
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def assert_matches_reference_image(
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reference_image_path: str,
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output_image_path: str,
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model_config: ModelConfig,
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steps: int,
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seed: int,
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height: int,
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width: int,
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prompt: str,
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image_path: str,
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masked_image_path: str,
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lora_paths: list[str] | None = None,
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lora_scales: list[float] | None = None,
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):
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# resolve paths
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reference_image_path = ImageGeneratorTestHelper.resolve_path(reference_image_path)
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output_image_path = ImageGeneratorTestHelper.resolve_path(output_image_path)
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image_path = str(ImageGeneratorTestHelper.resolve_path(image_path))
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masked_image_path = str(ImageGeneratorTestHelper.resolve_path(masked_image_path))
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lora_paths = [str(ImageGeneratorTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
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try:
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# given
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flux = Flux1Fill(
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quantize=8,
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lora_paths=lora_paths,
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lora_scales=lora_scales,
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)
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# when
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image = flux.generate_image(
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seed=seed,
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prompt=prompt,
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config=Config(
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num_inference_steps=steps,
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height=height,
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width=width,
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image_path=image_path,
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masked_image_path=masked_image_path,
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guidance=ui_defaults.DEFAULT_DEV_FILL_GUIDANCE,
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),
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)
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image.save(path=output_image_path, overwrite=True)
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# then
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ImageCompare.check_images_close_enough(
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output_image_path,
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reference_image_path,
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"Generated fill image doesn't match reference image.",
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)
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finally:
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# cleanup
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if os.path.exists(output_image_path) and "MFLUX_PRESERVE_TEST_OUTPUT" not in os.environ:
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os.remove(output_image_path)
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