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Hello, thanks for the exellent api. I am using every feature of the api (version 5.2) and face swap consistently without issues. In my codebase I am running multiple istances of the same program using cluster workers and I have the feeling some of those istances are having toruble to conenct, resulting in a failure.
I was wandering if you could suggest a better way of implementing the connection setup or config parameters to tune it in order to have 16 parallel connections.
here is my current implementation:
import { ImIDnfigParam, Midjourney } from "midjourney";
Hello, thanks for the exellent api. I am using every feature of the api (version 5.2) and face swap consistently without issues. In my codebase I am running multiple istances of the same program using cluster workers and I have the feeling some of those istances are having toruble to conenct, resulting in a failure.
I was wandering if you could suggest a better way of implementing the connection setup or config parameters to tune it in order to have 16 parallel connections.
here is my current implementation:
import { ImIDnfigParam, Midjourney } from "midjourney";
const ImIDnfig: ImIDnfigParam = {
SalaiToken: process.env.SALAI_TOKEN,
ChannelId: process.env.CHANNEL_ID,
ServerId: process.env.SERVER_ID,
HuggingFaceToken: "hf_XXXXXXXXXXXXXXXXXXXXXX",
//Debug: true,
Ws: true,
//Limit: 200
};
const midclient = new Midjourney(ImIDnfig);
await midclient
.init()
.then(() => {
console.log("[OK] MidClient initialized successfully.");
})
.catch((error) => {
console.error("[XX] Failed to initialize MidClient:", error);
});
const msg = await midclient
.Imagine(
${prompt} --quality ${quality}
, (uri: string, progress: string) => {console.log("Imagine.loading", uri, "progress", progress);
})
.catch((error) => {
console.error("Error in midclient.Imagine:", error);
throw error; // Rethrow the error to propagate it further
});
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