135 lines
5.1 KiB
Python
135 lines
5.1 KiB
Python
import os
|
|
from pathlib import Path
|
|
|
|
from mflux.config.config import Config
|
|
from mflux.config.model_config import ModelConfig
|
|
from mflux.models.flux.variants.concept_attention.flux_concept import Flux1Concept
|
|
from mflux.models.flux.variants.concept_attention.flux_concept_from_image import Flux1ConceptFromImage
|
|
from mflux.utils.image_compare import ImageCompare
|
|
|
|
|
|
class ImageGenerationConceptTestHelper:
|
|
@staticmethod
|
|
def assert_matches_reference_image_concept(
|
|
reference_heatmap_path: str,
|
|
output_heatmap_path: str,
|
|
model_config: ModelConfig,
|
|
prompt: str,
|
|
concept: str,
|
|
steps: int,
|
|
seed: int,
|
|
height: int | None = None,
|
|
width: int | None = None,
|
|
heatmap_layer_indices: list[int] | None = None,
|
|
heatmap_timesteps: list[int] | None = None,
|
|
lora_paths: list[str] | None = None,
|
|
lora_scales: list[float] | None = None,
|
|
):
|
|
# resolve paths
|
|
reference_heatmap_path = ImageGenerationConceptTestHelper.resolve_path(reference_heatmap_path)
|
|
output_heatmap_path = ImageGenerationConceptTestHelper.resolve_path(output_heatmap_path)
|
|
lora_paths = [str(ImageGenerationConceptTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
|
|
|
|
try:
|
|
# given
|
|
flux = Flux1Concept(
|
|
model_config=model_config,
|
|
quantize=4,
|
|
lora_paths=lora_paths,
|
|
lora_scales=lora_scales,
|
|
)
|
|
# when
|
|
image = flux.generate_image(
|
|
seed=seed,
|
|
prompt=prompt,
|
|
concept=concept,
|
|
heatmap_layer_indices=heatmap_layer_indices,
|
|
heatmap_timesteps=heatmap_timesteps,
|
|
config=Config(
|
|
num_inference_steps=steps,
|
|
height=height,
|
|
width=width,
|
|
),
|
|
)
|
|
# Save only the heatmap (we don't need the original image for testing)
|
|
image.save_concept_heatmap(path=output_heatmap_path, overwrite=True)
|
|
|
|
# then - verify the heatmap matches reference
|
|
ImageCompare.check_images_close_enough(
|
|
output_heatmap_path,
|
|
reference_heatmap_path,
|
|
"Generated concept heatmap doesn't match reference heatmap.",
|
|
mismatch_threshold=0.25, # special case for heatmap, allow higher threshold
|
|
)
|
|
|
|
finally:
|
|
# cleanup
|
|
if os.path.exists(output_heatmap_path):
|
|
os.remove(output_heatmap_path)
|
|
|
|
@staticmethod
|
|
def assert_matches_reference_image_concept_from_image(
|
|
reference_heatmap_path: str,
|
|
output_heatmap_path: str,
|
|
input_image_path: str,
|
|
model_config: ModelConfig,
|
|
prompt: str,
|
|
concept: str,
|
|
steps: int,
|
|
seed: int,
|
|
height: int | None = None,
|
|
width: int | None = None,
|
|
heatmap_layer_indices: list[int] | None = None,
|
|
heatmap_timesteps: list[int] | None = None,
|
|
lora_paths: list[str] | None = None,
|
|
lora_scales: list[float] | None = None,
|
|
):
|
|
# resolve paths
|
|
reference_heatmap_path = ImageGenerationConceptTestHelper.resolve_path(reference_heatmap_path)
|
|
output_heatmap_path = ImageGenerationConceptTestHelper.resolve_path(output_heatmap_path)
|
|
input_image_path = ImageGenerationConceptTestHelper.resolve_path(input_image_path)
|
|
lora_paths = [str(ImageGenerationConceptTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
|
|
|
|
try:
|
|
# given
|
|
flux = Flux1ConceptFromImage(
|
|
model_config=model_config,
|
|
quantize=8,
|
|
lora_paths=lora_paths,
|
|
lora_scales=lora_scales,
|
|
)
|
|
# when
|
|
image = flux.generate_image(
|
|
seed=seed,
|
|
prompt=prompt,
|
|
concept=concept,
|
|
image_path=str(input_image_path),
|
|
heatmap_layer_indices=heatmap_layer_indices,
|
|
heatmap_timesteps=heatmap_timesteps,
|
|
config=Config(
|
|
num_inference_steps=steps,
|
|
height=height,
|
|
width=width,
|
|
),
|
|
)
|
|
# Save only the heatmap (we don't need the original image for testing)
|
|
image.save_concept_heatmap(path=output_heatmap_path, overwrite=True)
|
|
|
|
# then - verify the heatmap matches reference
|
|
ImageCompare.check_images_close_enough(
|
|
output_heatmap_path,
|
|
reference_heatmap_path,
|
|
"Generated concept from image heatmap doesn't match reference heatmap.",
|
|
)
|
|
|
|
finally:
|
|
# cleanup
|
|
if os.path.exists(output_heatmap_path) and "MFLUX_PRESERVE_TEST_OUTPUT" not in os.environ:
|
|
os.remove(output_heatmap_path)
|
|
|
|
@staticmethod
|
|
def resolve_path(path) -> Path | None:
|
|
if path is None:
|
|
return None
|
|
return Path(__file__).parent.parent.parent / "resources" / path
|