/install aliyun-emo
Category: provider
Model Studio EMO
Validation
mkdir -p output/aliyun-emo
python -m py_compile skills/ai/video/aliyun-emo/scripts/prepare_emo_request.py && echo "py_compile_ok" > output/aliyun-emo/validate.txt
Pass criteria: command exits 0 and output/aliyun-emo/validate.txt is generated.
Output And Evidence
- Save normalized request payloads, detection boxes, and task polling snapshots under
output/aliyun-emo/. - Record the chosen
style_leveland the exactface_bbox/ext_bbox.
Use EMO when the input is a portrait image and speech audio, and you need a non-Wan expressive talking-head result.
Critical model names
Use these exact model strings:
emo-v1-detectemo-v1
Selection guidance:
- Run image detection first to obtain
face_bboxandext_bbox. - Use
emo-v1only after detection succeeds.
Prerequisites
- China mainland (Beijing) only.
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials. - Input files must be public HTTP/HTTPS URLs.
Normalized interface (video.emo)
Detect Request
model(string, optional): defaultemo-v1-detectimage_url(string, required)
Generate Request
model(string, optional): defaultemo-v1image_url(string, required)audio_url(string, required)face_bbox(array\x3Cint>, required)ext_bbox(array\x3Cint>, required)style_level(string, optional):normal,calm, oractive
Response
task_id(string)task_status(string)video_url(string, when finished)
Quick start
python skills/ai/video/aliyun-emo/scripts/prepare_emo_request.py \
--image-url "https://example.com/portrait.png" \
--audio-url "https://example.com/speech.mp3" \
--face-bbox 302,286,610,593 \
--ext-bbox 71,9,840,778 \
--style-level active
Operational guidance
- Do not invent
face_bboxorext_bbox; use the detection API output. ext_bboxratio determines output format:1:1yields512x512,3:4yields512x704.- Keep the input portrait clear and front-facing for better expression quality.
- EMO is portrait-focused; for full-scene human videos use other skills instead.
Output location
- Default output:
output/aliyun-emo/request.json - Override base dir with
OUTPUT_DIR.
References
references/sources.md
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aliyun-emo - After installation, invoke the skill by name or use
/aliyun-emo - Provide required inputs per the skill's parameter spec and get structured output
What is Aliyun Emo?
Use when generating expressive portrait videos from a person image and speech audio with Alibaba Cloud Model Studio EMO (`emo-v1`). Use when creating non-Wan... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Aliyun Emo?
Run "/install aliyun-emo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Aliyun Emo free?
Yes, Aliyun Emo is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Aliyun Emo support?
Aliyun Emo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Aliyun Emo?
It is built and maintained by cinience (@cinience); the current version is v1.0.0.