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@ -1,33 +1,3 @@
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# import time
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# from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
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# from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
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# from modules.sd_samplers import all_samplers
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# from modules.extras import run_pnginfo
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# import modules.shared as shared
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# from modules import devices
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# import uvicorn
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# from fastapi import Body, APIRouter, HTTPException
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# from fastapi.responses import JSONResponse
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# from pydantic import BaseModel, Field, Json
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# from typing import List
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# import json
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# import io
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# import base64
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# from PIL import Image
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# sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
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# class TextToImageResponse(BaseModel):
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# images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
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# parameters: Json
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# info: Json
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# class ImageToImageResponse(BaseModel):
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# images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
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# parameters: Json
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# info: Json
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import time
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import uvicorn
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from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image
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