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AI Avatar Video Producer workflow blueprint

Turn a topic into a talking-head avatar video, using your own avatar image or a generated one

See where this blueprint fits in the production workflow lifecycle
Sequential
Video
Avatar
Veo
Generation
AI
Content
Use this blueprint
Pattern
Sequential
Agents
1
Functions
2
MCP servers
0

What the Avatar Video Producer blueprint does

Suggested starting request

I create a talking-head avatar video from a topic, using either your existing avatar image or a generated one. The default 8-second path is intended for interactive runs; durations above 8 seconds require background/async execution and may take several minutes.

Inputs for the Avatar Video Producer workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

  • Topic

    Required

    Topic or message for the avatar to present

    Type: String
  • Avatar Description

    Optional

    Brief description of the avatar (e.g. 'professional woman in business attire'). Ignored when avatar_image is provided.

    Type: String
  • Avatar Image

    Optional

    Optional workspace storage path to an existing avatar image; when supplied, image generation is skipped

    Type: String
  • Duration

    Optional

    Target video duration in seconds (default 8; clamped to 4-148). Durations above 8 require background/async execution.

    Type: Number
  • Storage Id

    Optional

    Workspace storage for output artifacts (default 'default')

    Type: String
  • Aspect Ratio

    Optional

    16:9 (landscape) or 9:16 (portrait); default 16:9

    Type: String
  • Resolution

    Optional

    720p or 1080p; default 720p

    Type: String
  • Avatar Style

    Optional

    realistic, anime, 3d, or pixel-art; default realistic

    Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "topic": "<required string>",
  "avatar_description": "<optional string>",
  "avatar_image": "<optional string>",
  "duration": "<optional number>",
  "storage_id": "<optional string>",
  "aspect_ratio": "<optional string>",
  "resolution": "<optional string>",
  "avatar_style": "<optional string>"
}

How the Avatar Video Producer AI workflow works

This content & writing blueprint uses a sequential workflow with 1 agent, 2 functions, and 0 MCP servers. Open it in GraphN to customize the resources, inputs, and workflow behavior for your use case.

  1. Write Script

    Agent using Script Writer

  2. Create Avatar

    Function using Create Avatar

  3. Produce

    Function using Produce Video

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Script Writer

Function

Create Avatar

Function

Produce Video

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Result

Frequently asked questions

What does the Avatar Video Producer blueprint do?
Turn a topic into a talking-head avatar video, using your own avatar image or a generated one
What inputs does the Avatar Video Producer workflow use?
The workflow uses Topic, Avatar Description, Avatar Image, Duration, Storage Id, Aspect Ratio, Resolution, Avatar Style. Required fields and their expected formats are listed on this page.
What resources are included in the Avatar Video Producer blueprint?
The blueprint contains 1 AI agent, 2 functions, 0 MCP servers. Its workflow pattern is Sequential.
Can I customize the Avatar Video Producer blueprint in GraphN?
Yes. Open the blueprint in GraphN to customize its inputs, models, resources, and workflow behavior before deployment.

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