LightDiffusion-Next / tests /e2e /test_img2img_denoise.py
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"""E2E img2img denoise tests (parametrized).
This file was moved from the top-level `tests/` and the three similar
cases were combined into a single parametrized test for clarity.
"""
import os
import sys
from pathlib import Path
import pytest
# Keep project root on path
project_root = Path(__file__).resolve().parent.parent.parent
sys.path.insert(0, str(project_root))
pytestmark = pytest.mark.slow
@pytest.fixture(scope="module")
def dummy_image_path():
"""Create a small dummy image used by img2img tests."""
from PIL import Image
path = project_root / "tests" / "test_img2img_input.png"
if not path.exists():
img = Image.new('RGB', (512, 512), color='blue')
for x in range(256):
for y in range(256):
img.putpixel((x, y), (x, y, 128))
img.save(path)
return str(path)
@pytest.mark.slow
@pytest.mark.parametrize("denoise,steps,prompt", [
(0.3, 10, "a beautiful landscape"),
(0.75, 15, "a beautiful landscape with mountains"),
(1.0, 20, "a vibrant sunset over ocean waves"),
])
def test_img2img_denoise_parametrized(dummy_image_path, denoise, steps, prompt):
from src.user.pipeline import pipeline
result = pipeline(
prompt=prompt,
w=512,
h=512,
number=1,
batch=1,
img2img=True,
img2img_image=dummy_image_path,
img2img_denoise=denoise,
steps=steps,
)
assert isinstance(result, dict)
assert 'original_prompt' in result or 'used_prompt' in result
@pytest.mark.slow
def test_img2img_context_defaults():
from src.Core.Context import Context, FeatureFlags
ff = FeatureFlags()
assert hasattr(ff, 'img2img_denoise')
assert ff.img2img_denoise == 0.75
ctx = Context.from_kwargs(prompt="test")
assert ctx.features.img2img_denoise == 0.75