import os from mflux.config.config import Config from mflux.config.model_config import ModelConfig from mflux.controlnet.flux_controlnet import Flux1Controlnet from tests.image_generation.helpers.image_generation_test_helper import ImageGeneratorTestHelper from .image_compare import check_images_close_enough class ImageGeneratorControlnetTestHelper: @staticmethod def assert_matches_reference_image( reference_image_path: str, output_image_path: str, controlnet_image_path: str, model_config: ModelConfig, prompt: str, steps: int, seed: int, height: int, width: int, controlnet_strength: float, lora_paths: list[str] | None = None, lora_scales: list[float] | None = None, ): # resolve paths reference_image_path = ImageGeneratorTestHelper.resolve_path(reference_image_path) output_image_path = ImageGeneratorTestHelper.resolve_path(output_image_path) controlnet_image_path = str(ImageGeneratorTestHelper.resolve_path(controlnet_image_path)) lora_paths = [str(ImageGeneratorTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None try: # given flux = Flux1Controlnet( model_config=model_config, quantize=8, lora_paths=lora_paths, lora_scales=lora_scales, ) # when image = flux.generate_image( seed=seed, prompt=prompt, controlnet_image_path=controlnet_image_path, config=Config( num_inference_steps=steps, height=height, width=width, controlnet_strength=controlnet_strength, ), ) image.save(path=output_image_path, overwrite=True) # then check_images_close_enough( output_image_path, reference_image_path, "Generated controlnet image doesn't match reference image", ) finally: # cleanup if os.path.exists(output_image_path) and "MFLUX_PRESERVE_TEST_OUTPUT" not in os.environ: os.remove(output_image_path)