import os from pathlib import Path import numpy as np from PIL import Image from mflux.config.config import Config from mflux.config.model_config import ModelConfig from mflux.kontext.flux_kontext import Flux1Kontext class ImageGeneratorKontextTestHelper: @staticmethod def assert_matches_reference_image( reference_image_path: str, output_image_path: str, model_config: ModelConfig, steps: int, seed: int, height: int, width: int, prompt: str, kontext_image_path: str, guidance: float = 2.5, ): # resolve paths reference_image_path = ImageGeneratorKontextTestHelper.resolve_path(reference_image_path) output_image_path = ImageGeneratorKontextTestHelper.resolve_path(output_image_path) kontext_image_path = ImageGeneratorKontextTestHelper.resolve_path(kontext_image_path) try: # given flux = Flux1Kontext( quantize=8, ) # when image = flux.generate_image( seed=seed, prompt=prompt, config=Config( num_inference_steps=steps, height=height, width=width, guidance=guidance, image_path=kontext_image_path, ), ) image.save(path=output_image_path) # then np.testing.assert_array_equal( np.array(Image.open(output_image_path)), np.array(Image.open(reference_image_path)), err_msg=f"Generated image doesn't match reference image. Check {output_image_path} vs {reference_image_path}", ) finally: # cleanup if os.path.exists(output_image_path): 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