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CPU Upgrade
File size: 2,226 Bytes
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import { VideoGenerationOptions } from "./types.mts"
import { getNegativePrompt, getPositivePrompt } from "./defaultPrompts.mts"
import { generateSeed } from "../../utils/misc/generateSeed.mts"
// we don't use replicas yet, because it ain't easy to get their hostname
const instance = `${process.env.VC_HOTSHOT_XL_GRADIO_SPACE_API_URL || ""}`
const secretToken = `${process.env.VC_MICROSERVICE_SECRET_TOKEN || ""}`
export const generateVideo = async ({
positivePrompt,
negativePrompt = "",
seed,
nbFrames = 8, // for now the only values that make sense are 1 (for a jpg) or 8 (for a video)
videoDuration = 1000, // for now Hotshot doesn't really supports anything else
nbSteps = 30, // when rendering a final video, we want a value like 50 or 70 here
size = "768x320",
// for jbilcke-hf/sdxl-cinematic-2 it is "cinematic-2"
triggerWord = "cinematic-2",
huggingFaceLora = "jbilcke-hf/sdxl-cinematic-2",
}: VideoGenerationOptions) => {
// pimp the prompt
positivePrompt = getPositivePrompt(positivePrompt, triggerWord)
negativePrompt = getNegativePrompt(negativePrompt)
try {
const res = await fetch(instance + (instance.endsWith("/") ? "" : "/") + "api/predict", {
method: "POST",
headers: {
"Content-Type": "application/json",
// Authorization: `Bearer ${token}`,
},
body: JSON.stringify({
fn_index: 1, // <- important!
data: [
secretToken,
positivePrompt,
negativePrompt,
huggingFaceLora,
size,
generateSeed(),
nbSteps,
nbFrames,
videoDuration,
],
}),
cache: "no-store",
// we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache)
// next: { revalidate: 1 }
})
const { data } = await res.json()
// console.log("data:", data)
// Recommendation: handle errors
if (res.status !== 200 || !Array.isArray(data)) {
// This will activate the closest `error.js` Error Boundary
throw new Error(`Failed to fetch data (status: ${res.status})`)
}
// console.log("data:", data.slice(0, 50))
return data[0]
} catch (err) {
throw err
}
} |