import os from pathlib import Path import numpy as np from PIL import Image from mflux import Config, ModelConfig from mflux.flux_tools.depth.flux_depth import Flux1Depth class ImageGeneratorDepthTestHelper: @staticmethod def assert_matches_reference_image( reference_image_path: str, output_image_path: str, model_config: ModelConfig, prompt: str, steps: int, seed: int, height: int = None, width: int = None, image_path: str | None = None, depth_image_path: str | None = None, ): # resolve paths reference_image_path = ImageGeneratorDepthTestHelper.resolve_path(reference_image_path) output_image_path = ImageGeneratorDepthTestHelper.resolve_path(output_image_path) depth_image_path = ImageGeneratorDepthTestHelper.resolve_path(depth_image_path) image_path = ImageGeneratorDepthTestHelper.resolve_path(image_path) try: # given flux = Flux1Depth(quantize=8) image = flux.generate_image( seed=seed, prompt=prompt, config=Config( num_inference_steps=steps, height=height, width=width, image_path=image_path, depth_image_path=depth_image_path, ), ) image.save(path=output_image_path, overwrite=True) # 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