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import { NextResponse } from "next/server";
import { PrismaClient } from '@prisma/client'
const prisma = new PrismaClient()
export async function POST(
request: Request,
) {
const { inputs } = await request.json()
const response = await fetch('https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0', {
method: 'POST',
body: JSON.stringify({
inputs,
stream: true,
}),
headers: {
Authorization: `Bearer ${process.env.NEXT_PUBLIC_APP_HF_TOKEN}`,
'Content-Type': 'application/json',
['x-use-cache']: "0"
},
})
const blob = await response.blob()
const headers = new Headers();
headers.set("Content-Type", "image/*");
const arrayBuffer = await blob.arrayBuffer()
const bytes = Buffer.from(arrayBuffer)
const new_blob = await prisma.image.create({
data: {
prompt: inputs,
blob: bytes,
},
})
return Response.json({ blob: new_blob, status: 200, statusText: "OK", headers });
} |