initial commit 🎥

.dockerignore

@@ -0,0 +1,6 @@
+node_modules
+npm-debug.log
+models
+sandbox
+audio.pipe
+video.pipe

.gitignore

@@ -0,0 +1,9 @@
+node_modules
+*.log
+*.bin
+.DS_Store
+.venv
+models/
+sandbox/
+audio.pipe
+video.pipe

.nvmrc

@@ -0,0 +1 @@
+v18.16.0

Dockerfile

@@ -0,0 +1,35 @@
+FROM node:18
+
+
+ARG DEBIAN_FRONTEND=noninteractive
+
+RUN apt update
+
+RUN apt --yes install ffmpeg
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -o -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Install app dependencies
+# A wildcard is used to ensure both package.json AND package-lock.json are copied
+# where available (npm@5+)
+COPY --chown=user package*.json $HOME/app
+
+RUN npm install
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+EXPOSE 7860 1935 8000
+
+CMD [ "npm", "run", "start" ]

LICENSE.txt

@@ -0,0 +1,201 @@
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README.md

@@ -0,0 +1,11 @@
+---
+title: video-service
+emoji: 🎥
+colorFrom: grey
+colorTo: purple
+sdk: docker
+pinned: false
+app_port: 7860
+---
+
+A micro service to generate videos

package-lock.json

@@ -0,0 +1,2436 @@
+{
+  "name": "video-service",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "video-service",
+      "version": "1.0.0",
+      "license": "Apache License",
+      "dependencies": {
+        "@gradio/client": "^0.1.4",
+        "@types/express": "^4.17.17",
+        "@types/uuid": "^9.0.2",
+        "express": "^4.18.2",
+        "fluent-ffmpeg": "^2.1.2",
+        "fs-extra": "^11.1.1",
+        "node-fetch": "^3.3.1",
+        "puppeteer": "^20.8.0",
+        "temp-dir": "^3.0.0",
+        "ts-node": "^10.9.1",
+        "uuid": "^9.0.0"
+      }
+    },
+    "node_modules/@babel/code-frame": {
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+      },
+      "engines": {
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+      }
+    },
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+      },
+      "engines": {
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+      "dependencies": {
+        "buffer-crc32": "~0.2.3",
+        "fd-slicer": "~1.1.0"
+      }
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+}

package.json

@@ -0,0 +1,28 @@
+{
+  "name": "video-service",
+  "version": "1.0.0",
+  "description": "Micro-service used to generate video sequences",
+  "main": "src/index.mts",
+  "scripts": {
+    "start": "node --loader ts-node/esm src/index.mts",
+    "test": "node --loader ts-node/esm src/test.mts",
+    "docker": "npm run docker:build && npm run docker:run",
+    "docker:build": "docker build -t  ai-webtv .",
+    "docker:run": "docker run -it -p 7860:7860 video-service"
+  },
+  "author": "Julian Bilcke <julian.bilcke@huggingface.co>",
+  "license": "Apache License",
+  "dependencies": {
+    "@gradio/client": "^0.1.4",
+    "@types/express": "^4.17.17",
+    "@types/uuid": "^9.0.2",
+    "express": "^4.18.2",
+    "fluent-ffmpeg": "^2.1.2",
+    "fs-extra": "^11.1.1",
+    "node-fetch": "^3.3.1",
+    "puppeteer": "^20.8.0",
+    "temp-dir": "^3.0.0",
+    "ts-node": "^10.9.1",
+    "uuid": "^9.0.0"
+  }
+}

src/index.mts

@@ -0,0 +1,64 @@
+import { promises as fs } from 'fs'
+
+import express from 'express'
+
+import { callZeroscope } from './services/callZeroscope.mts'
+import { downloadVideo } from './services/downloadVideo.mts'
+import { upscaleVideo } from './services/upscaleVideo.mts'
+
+const app = express()
+const port = 7860
+
+app.post('/shot', async (req, res) => {
+  const shotPrompt = `${req.query.shotPrompt || ''}`
+  if (shotPrompt.length) {
+    res.write(JSON.stringify({ error: true, message: 'prompt too short' }))
+    res.end()
+    return
+  }
+
+  // optional video URL
+  const inputVideo = `${req.query.inputVideo || ''}`
+
+  // optional audio prompt
+  const audioPrompt = `${req.query.audioPrompt || ''}`
+
+  // should we upscale or not?
+  const upscale = `${req.query.audioPrompt || 'false'}` === 'true'
+
+  // duration of the prompt, in seconds
+  const durationStr = Number(`${req.query.audioPrompt || '3'}`)
+  const maybeDuration = Number(durationStr)
+  const duration = Math.min(3, Math.max(1, isNaN(maybeDuration) || isFinite(maybeDuration) ? 3 : maybeDuration))
+  
+  // const frames per second
+  const fps = `${req.query.audioPrompt || 'false'}` === 'true'
+
+  console.log('calling zeroscope..')
+  const generatedVideoUrl = await callZeroscope(shotPrompt)
+
+  const shotFileName = `${Date.now()}.mp4`
+
+  
+  console.log('downloading video..')
+  const videoFileName = await downloadVideo(generatedVideoUrl, shotFileName)
+
+  if (upscale) {
+    console.log('upscaling video..')
+    await upscaleVideo(videoFileName, shotPrompt)
+  }
+
+  // TODO call AudioLDM
+  if (audioPrompt) {
+    // const baseAudio = await callAudioLDM(audioPrompt)
+    console.log('calling audio prompt')
+  }
+
+  console.log('returning result to user..')
+  const buffer = await fs.readFile(videoFileName)
+  res.setHeader('Content-Type', 'media/mp4')
+  res.setHeader('Content-Length', buffer.length)
+  res.end(buffer)
+})
+
+app.listen(port, () => { console.log(`Open http://localhost:${port}`) })

src/services/callZeroscope.mts

@@ -0,0 +1,28 @@
+import { client } from '@gradio/client'
+
+import { getRandomInt } from "./generateSeed.mts"
+
+const videoSpaceApiUrl = process.env.VS_VIDEO_SPACE_API_URL
+
+export const callZeroscope = async (prompt: string, options?: {
+  seed: number;
+  nbFrames: number;
+  nbSteps: number;
+}) => {
+  const seed = options?.seed || getRandomInt()
+  const nbFrames = options?.nbFrames || 24 // we can go up to 48 frames, but then upscaling quill require too much memory!
+  const nbSteps = options?.nbSteps || 35
+
+  const api = await client(videoSpaceApiUrl)
+
+  const rawResponse = await api.predict('/run', [		
+    prompt, // string  in 'Prompt' Textbox component		
+    seed, // number (numeric value between 0 and 2147483647) in 'Seed' Slider component		
+    nbFrames, // 24 // it is the nb of frames per seconds I think?
+    nbSteps, // 10, (numeric value between 10 and 50) in 'Number of inference steps' Slider component
+  ]) as any
+  
+  const { name } = rawResponse?.data?.[0]?.[0] as { name: string, orig_name: string }
+
+  return `${videoSpaceApiUrl}/file=${name}`
+}

src/services/downloadVideo.mts

@@ -0,0 +1,22 @@
+import path from 'node:path'
+import fs from 'node:fs'
+
+import tmpDir from 'temp-dir'
+
+export const downloadVideo = async (remoteUrl: string, fileName: string): Promise<string> => {
+
+  const filePath = path.resolve(tmpDir, fileName)
+
+  // download the video
+  const response = await fetch(remoteUrl)
+
+  // write it to the disk
+  const arrayBuffer = await response.arrayBuffer()
+
+  await fs.promises.writeFile(
+    filePath,
+    Buffer.from(arrayBuffer)
+  )
+
+  return fileName
+}

src/services/generateSeed.mts

@@ -0,0 +1,3 @@
+export function getRandomInt() {
+  return Math.floor(Math.random() * Math.pow(2, 31));
+}

src/services/interpolateVideo.mts

@@ -0,0 +1,40 @@
+import { promises as fs } from "node:fs"
+import path from "node:path"
+import { Blob } from "buffer"
+// import { blobFrom } from "fetch-blob"
+
+import { client } from "@gradio/client"
+import tmpDir from "temp-dir"
+
+import { downloadVideo } from './downloadVideo.mts'
+
+const instances: string[] = [
+  process.env.VS_INTERPOLATION_SPACE_URL
+]
+
+export const interpolateVideo = async (fileName: string) => {
+
+  const inputFilePath = path.join(tmpDir, fileName)
+
+  const instance = instances.shift()
+  instances.push(instance)
+
+  const app = await client(instance)
+
+  const video = await fs.readFile(inputFilePath)
+
+  const blob = new Blob([video], { type: 'video/mp4' })
+  // const blob = blobFrom(filePath)
+  const result = await app.predict(1, [
+    blob, 	// blob in 'parameter_5' Video component		
+    1, // number (numeric value between 1 and 4) in 'Interpolation Steps' Slider component		
+    24, // string  in 'FPS output' Radio component
+  ])
+
+  const data = (result as any).data[0]
+  console.log('raw data:', data)
+  const { orig_name, data: remoteFilePath } = data
+  const remoteUrl = `${instance}/file=${remoteFilePath}`
+  console.log("remoteUrl:", remoteUrl)
+  await downloadVideo(remoteUrl, fileName)
+}

src/services/upscaleVideo.mts

@@ -0,0 +1,78 @@
+import path from 'node:path'
+import fs from 'node:fs'
+
+import tmpDir from 'temp-dir'
+import puppeteer from 'puppeteer'
+import { downloadVideo } from './downloadVideo.mts'
+
+// TODO we should use an inference endpoint instead (or a space which bakes generation + upscale at the same time)
+export async function upscaleVideo(fileName: string, prompt: string) {
+  
+  const browser = await puppeteer.launch({
+    // headless: true,
+    protocolTimeout: 800000,
+  })
+
+  const spaceUrl = process.env.VS_UPSCALE_SPACE_API_URL
+
+  const page = await browser.newPage()
+
+  await page.goto(spaceUrl, {
+    waitUntil: 'networkidle2',
+  })
+
+  const promptField = await page.$('textarea')
+  await promptField.type(prompt)
+
+  const inputFilePath = path.join(tmpDir, fileName)
+  // console.log(`local file to upscale: ${inputFilePath}`)
+  
+  await new Promise(r => setTimeout(r, 3000))
+
+  const fileField = await page.$('input[type=file]')
+
+  // console.log(`uploading file..`)
+  await fileField.uploadFile(inputFilePath)
+
+  // console.log('looking for the button to submit')
+  const submitButton = await page.$('button.lg')
+
+  // console.log('clicking on the button')
+  await submitButton.click()
+
+  /*
+  const client = await page.target().createCDPSession()
+
+  await client.send('Page.setDownloadBehavior', {
+    behavior: 'allow',
+    downloadPath: tmpDir,
+  })
+  */
+
+  await page.waitForSelector('a[download="xl_result.mp4"]', {
+    timeout: 800000, // need to be large enough in case someone else attemps to use our space
+  })
+
+  const upscaledFileUrl = await page.$$eval('a[download="xl_result.mp4"]', el => el.map(x => x.getAttribute("href"))[0])
+
+  // console.log('downloading upscaled image from:', upscaledFileUrl)
+
+  const tmpFileName = `${fileName}_xl`
+
+  // console.log('downloading file from space..')
+  console.log(`- downloading ${fileName} from ${upscaledFileUrl}`)
+
+  await downloadVideo(upscaledFileUrl, tmpFileName)
+
+  const tmpFilePath = path.join(tmpDir, tmpFileName)
+  const filePath = path.join(tmpDir, fileName)
+
+  await fs.promises.copyFile(tmpFilePath, filePath)
+  try {
+    await fs.promises.unlink(tmpFilePath)
+  } catch (err) {
+    console.log('failed to cleanup (no big deal..)')
+  }
+
+  return fileName
+}

src/types.mts

@@ -0,0 +1,26 @@
+export interface Shot {
+  shotId: string
+  index: number
+  lastGenerationAt: string
+  videoPrompt: string
+  audioPrompt: string
+  duration: number // no more than 3 (we don't have the ressources for it)
+  fps: number // typically 8, 12, 24
+}
+
+export interface Sequence {
+  sequenceId: string
+  skip: boolean
+  lastGenerationAt: string
+  videoPrompt: string
+  audioPrompt: string
+  channel: string
+  tags: string[]
+  shots: Shot[]
+}
+
+export interface Database {
+  version: number
+  startAtShotId: string
+  sequences: Sequence[]
+}

tsconfig.json

@@ -0,0 +1,12 @@
+{
+   "compilerOptions": {
+    "allowJs": true,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "module": "nodenext",
+    "noEmit": true,
+    "allowImportingTsExtensions": true,
+    "target": "es2017"
+  },
+  "include": ["**/*.ts", "**/*.mts"],
+}