Deploy a One‑Click AI Script & Animation Platform with Function Compute
This guide walks you through using Alibaba Cloud Function Compute and Bailei Model Service to set up a cloud‑native, one‑click AI creation pipeline that turns scripts into subtitles, images, and videos for New Year storytelling.
Solution Overview
The solution uses Alibaba Cloud Function Compute (FC) to host a server‑less web service that orchestrates Baidu Bailei Model Service APIs. The workflow automatically generates a script, synthesizes voice, creates subtitles, generates images, and composes a video, enabling creators to produce New Year stories with a single click.
One‑Click Deployment
Open the Function Compute application template provided by the vendor.
Configure the parameters listed below.
Click Create and Deploy Default Environment . After deployment, the environment details show a domain name for the demo site.
Required Parameters
Deployment Type : Direct Deploy
Application Name : Auto‑generated (default)
Role Name : Template‑required role (authorize if prompted)
Region : East China 1 (Hangzhou) by default
Bailei API‑KEY : Retrieve from the deployment resources
OSS Bucket Name : Example animation-creation-test (or another bucket you own)
RAM Role ARN : Role that allows FC to access OSS (authorize when prompted)
Accessing the Demo Application
In the FC console, open Environment Details → Environment Info to find the domain.
Open the domain in a browser to load the example UI.
Generating a Video
Use the default character description and script prompt, or edit them.
Hover over Example 1 and click Use this Example .
Click Generate Video . The first run may take 15–20 minutes; subsequent runs typically finish in 2–5 minutes.
Deploying an Audio‑Book Generation Platform
The same parameters apply to the Cloud Native Application Platform (CAP) template. After configuring the project name, region, Bailei API‑KEY, OSS bucket, and roles, click Deploy Project and confirm. The resulting service provides an interface for audiobook creation using the same AI pipeline.
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