import os from pathlib import Path from typing import Optional from mflux.models.fibo.variants.txt2img.fibo import FIBO from mflux.utils.image_compare import ImageCompare class ImageGeneratorFiboTestHelper: @staticmethod def assert_matches_reference_image( reference_image_path: str, output_image_path: str, prompt: str, steps: int, seed: int, height: int, width: int, guidance: float = 4.0, negative_prompt: Optional[str] = None, mismatch_threshold: Optional[float] = None, quantize: Optional[int] = None, ): # resolve paths reference_image_path = ImageGeneratorFiboTestHelper.resolve_path(reference_image_path) output_image_path = ImageGeneratorFiboTestHelper.resolve_path(output_image_path) try: # Step 1: Create FIBO model model = FIBO( quantize=quantize, model_path=None, ) # Step 2: Generate image from prompt image = model.generate_image( seed=seed, prompt=prompt, num_inference_steps=steps, height=height, width=width, guidance=guidance, scheduler="flow_match_euler_discrete", negative_prompt=negative_prompt, ) # Step 3: Save output image image.save(path=output_image_path, overwrite=True) # Step 4: Compare with reference ImageCompare.check_images_close_enough( output_image_path, reference_image_path, "Generated image doesn't match reference image.", mismatch_threshold=mismatch_threshold, ) finally: # cleanup if os.path.exists(output_image_path) and "MFLUX_PRESERVE_TEST_OUTPUT" not in os.environ: os.remove(output_image_path) @staticmethod def resolve_path(path) -> Path | None: if path is None: return None return Path(__file__).parent.parent.parent / "resources" / path