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from typing import Any
from app_settings import Settings
from models.interface_types import InterfaceType
from backend.lcm_text_to_image import LCMTextToImage
from time import perf_counter
from backend.image_saver import ImageSaver
from pprint import pprint
class Context:
def __init__(
self,
interface_type: InterfaceType,
device="cpu",
):
self.interface_type = interface_type
self.lcm_text_to_image = LCMTextToImage(device)
def generate_text_to_image(
self,
settings: Settings,
reshape: bool = False,
device: str = "cpu",
) -> Any:
tick = perf_counter()
from state import get_settings
get_settings().save()
pprint(settings.lcm_diffusion_setting.model_dump())
if not settings.lcm_diffusion_setting.lcm_lora:
return None
self.lcm_text_to_image.init(
device,
settings.lcm_diffusion_setting,
)
images = self.lcm_text_to_image.generate(
settings.lcm_diffusion_setting,
reshape,
)
elapsed = perf_counter() - tick
ImageSaver.save_images(
settings.results_path,
images=images,
lcm_diffusion_setting=settings.lcm_diffusion_setting,
)
print(f"Latency : {elapsed:.2f} seconds")
return images
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