Aliyun Liveportrait

Community

cinience

aliyun-liveportrait

Use when generating lightweight talking-head portrait videos with Alibaba Cloud Model Studio LivePortrait (`liveportrait`) from a detected portrait image and speech audio. Use when you need long-form or simple broadcast-style portrait animation beyond the typical short expressive models.

Overview

Publisher	cinience
Repository	`alicloud-skills`
Skill name	`aliyun-liveportrait`
Stars	397
Forks	34
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by cinience on GitHub. Read the source before you install it.

Installation

Install the Aliyun Liveportrait AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-liveportrait
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-liveportrait

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/ai/video/aliyun-liveportrait .claude/skills/aliyun-liveportrait

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aliyun Liveportrait in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aliyun Liveportrait on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aliyun Liveportrait is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Category: provider

Model Studio LivePortrait

Validation

bash
mkdir -p output/aliyun-liveportrait
python -m py_compile skills/ai/video/aliyun-liveportrait/scripts/prepare_liveportrait_request.py && echo "py_compile_ok" > output/aliyun-liveportrait/validate.txt

Pass criteria: command exits 0 and output/aliyun-liveportrait/validate.txt is generated.

Output And Evidence

Save normalized request payloads, template choice, and task polling snapshots under output/aliyun-liveportrait/.
Record the exact portrait/audio URLs and motion-strength related parameters.

Use LivePortrait when the job is lightweight portrait animation with speech audio, especially for longer clips or simpler presenter-style motion.

Critical model names

Use these exact model strings:

liveportrait-detect
liveportrait

Selection guidance:

Run liveportrait-detect first to verify the portrait image.
Use liveportrait for the actual video generation task.

Prerequisites

China mainland (Beijing) only.
Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Input image and audio must be public HTTP/HTTPS URLs.

Normalized interface (video.liveportrait)

Detect Request

model (string, optional): default liveportrait-detect
image_url (string, required)

Generate Request

model (string, optional): default liveportrait
image_url (string, required)
audio_url (string, required)
template_id (string, optional): normal, calm, or active
eye_move_freq (number, optional): 0 to 1
video_fps (int, optional): 15 to 30
mouth_move_strength (number, optional): 0 to 1.5
paste_back (bool, optional)
head_move_strength (number, optional): 0 to 1

Response

task_id (string)
task_status (string)
video_url (string, when finished)

Quick start

bash
python skills/ai/video/aliyun-liveportrait/scripts/prepare_liveportrait_request.py \
  --image-url "https://example.com/portrait.png" \
  --audio-url "https://example.com/speech.mp3" \
  --template-id calm \
  --video-fps 24 \
  --paste-back

Operational guidance

Use a clear, front-facing portrait with low occlusion.
Keep the audio clean and voice-dominant.
paste_back=false outputs only the generated face region; keep it true for standard talking-head output.
LivePortrait is a better fit than EMO when you need longer, simpler presenter-style clips.

Output location

Default output: output/aliyun-liveportrait/request.json
Override base dir with OUTPUT_DIR.

References

references/sources.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/sources.md1 KB
scripts/prepare_liveportrait_request.py2 KB

Frequently asked questions

What does the Aliyun Liveportrait AI skill do?

Why use Aliyun Liveportrait on TypingMind?

Because you install it once and use it with any model. Aliyun Liveportrait is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aliyun Liveportrait in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/ai/video/aliyun-liveportrait. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aliyun Liveportrait?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aliyun Liveportrait?

As many as you like. As long as a model supports skills, you can use Aliyun Liveportrait with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aliyun Liveportrait AI skill free?

Yes. It is published on GitHub by cinience under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Model Studio LivePortrait

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (video.liveportrait)

Detect Request

Generate Request

Response

Quick start

Operational guidance

Output location

References

Bundled files

Frequently asked questions

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