Category: provider

Model Studio Digital Human

Validation

CODEBLOCK0

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

Output And Evidence

• - Save normalized request payloads, chosen resolution, and task polling snapshots under output/aliyun-wan-digital-human/.
• Record image/audio URLs and whether the input image passed detection.

Use this skill for image + audio driven speaking, singing, or presenting characters.

Critical model names

Use these exact model strings:

• - INLINECODE2
• INLINECODE3

Selection guidance:

• - Run wan2.2-s2v-detect first to validate the image.
• Use wan2.2-s2v for the actual video generation job.

Prerequisites

• - China mainland (Beijing) only.
• Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
• Input audio should contain clear speech or singing, and input image should depict a clear subject.

Normalized interface (video.digital_human)

Detect Request

• - model (string, optional): default INLINECODE10
• INLINECODE11 (string, required)

Generate Request

• - model (string, optional): default INLINECODE13
• INLINECODE14 (string, required)
• INLINECODE15 (string, required)
• INLINECODE16 (string, optional): 480P or INLINECODE18
• INLINECODE19 (string, optional): talk, sing, or INLINECODE22

Response

• - task_id (string)
• INLINECODE24 (string)
• INLINECODE25 (string, when finished)

Quick start

CODEBLOCK1

Operational guidance

• - Use a portrait, half-body, or full-body image with a clear face and stable framing.
• Match audio length to the desired output duration; the output follows the audio length up to the model limit.
• Keep image and audio as public HTTP/HTTPS URLs.
• If the image fails detection, do not proceed directly to video generation.

Output location

• - Default output: INLINECODE26
• Override base dir with OUTPUT_DIR.

References

• - INLINECODE28