Qwen-Image-Layered-MRP-MLX/tests/image_generation/helpers/image_generation_test_helper.py
2024-12-22 19:42:37 +01:00

70 lines
2.3 KiB
Python

import os
from pathlib import Path
import numpy as np
from PIL import Image
from mflux import Config, Flux1, ModelConfig
class ImageGeneratorTestHelper:
@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,
init_image_path: str | None = None,
init_image_strength: float | None = None,
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)
lora_paths = [str(ImageGeneratorTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
try:
# given
flux = Flux1(
model_config=model_config,
quantize=8,
lora_paths=lora_paths,
lora_scales=lora_scales
) # fmt: off
# when
image = flux.generate_image(
seed=seed,
prompt=prompt,
config=Config(
num_inference_steps=steps,
init_image_path=ImageGeneratorTestHelper.resolve_path(init_image_path),
init_image_strength=init_image_strength,
height=height,
width=width,
),
)
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