52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from modules.api.processing import StableDiffusionProcessingAPI
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from modules.processing import StableDiffusionProcessingTxt2Img, process_images
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import modules.shared as shared
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import uvicorn
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from fastapi import FastAPI, Body, APIRouter
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from fastapi.responses import JSONResponse
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from pydantic import BaseModel, Field, Json
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import json
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import io
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import base64
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app = FastAPI()
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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 Api:
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def __init__(self):
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self.router = APIRouter()
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app.add_api_route("/v1/txt2img", self.text2imgapi, methods=["POST"])
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def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
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p = StableDiffusionProcessingTxt2Img(**vars(txt2imgreq))
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p.sd_model = shared.sd_model
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processed = process_images(p)
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b64images = []
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for i in processed.images:
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buffer = io.BytesIO()
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i.save(buffer, format="png")
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b64images.append(base64.b64encode(buffer.getvalue()))
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return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
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def img2imgendoint(self):
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raise NotImplementedError
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def extrasendoint(self):
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raise NotImplementedError
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def pnginfoendoint(self):
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raise NotImplementedError
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def launch(self, server_name, port):
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app.include_router(self.router)
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uvicorn.run(app, host=server_name, port=port)
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