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import platform
import uvicorn
from backend.api.models.response import StableDiffusionResponse
from backend.models.device import DeviceInfo
from backend.base64_image import base64_image_to_pil, pil_image_to_base64_str
from backend.device import get_device_name
from backend.models.lcmdiffusion_setting import DiffusionTask, LCMDiffusionSetting
from constants import APP_VERSION, DEVICE
from context import Context
from fastapi import FastAPI
from models.interface_types import InterfaceType
from state import get_settings
app_settings = get_settings()
app = FastAPI(
title="FastSD CPU",
description="Fast stable diffusion on CPU",
version=APP_VERSION,
license_info={
"name": "MIT",
"identifier": "MIT",
},
docs_url="/api/docs",
redoc_url="/api/redoc",
openapi_url="/api/openapi.json",
)
print(app_settings.settings.lcm_diffusion_setting)
context = Context(InterfaceType.API_SERVER)
@app.get("/api/")
async def root():
return {"message": "Welcome to FastSD CPU API"}
@app.get(
"/api/info",
description="Get system information",
summary="Get system information",
)
async def info():
device_info = DeviceInfo(
device_type=DEVICE,
device_name=get_device_name(),
os=platform.system(),
platform=platform.platform(),
processor=platform.processor(),
)
return device_info.model_dump()
@app.get(
"/api/config",
description="Get current configuration",
summary="Get configurations",
)
async def config():
return app_settings.settings
@app.get(
"/api/models",
description="Get available models",
summary="Get available models",
)
async def models():
return {
"lcm_lora_models": app_settings.lcm_lora_models,
"stable_diffusion": app_settings.stable_diffsuion_models,
"openvino_models": app_settings.openvino_lcm_models,
"lcm_models": app_settings.lcm_models,
}
@app.post(
"/api/generate",
description="Generate image(Text to image,Image to Image)",
summary="Generate image(Text to image,Image to Image)",
)
async def generate(diffusion_config: LCMDiffusionSetting) -> StableDiffusionResponse:
app_settings.settings.lcm_diffusion_setting = diffusion_config
if diffusion_config.diffusion_task == DiffusionTask.image_to_image:
app_settings.settings.lcm_diffusion_setting.init_image = base64_image_to_pil(
diffusion_config.init_image
)
images = context.generate_text_to_image(app_settings.settings)
images_base64 = [pil_image_to_base64_str(img) for img in images]
return StableDiffusionResponse(
latency=round(context.latency, 2),
images=images_base64,
)
def start_web_server(port: int = 8000):
uvicorn.run(
app,
host="0.0.0.0",
port=port,
)
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