数字人视频 即梦 OmniHuman 1.5
Generate realistic digital human broadcast videos from portrait images and audio/text using Jimeng OmniHuman 1.5. 使用即梦 (Jimeng) OmniHuman 1.5 模型,通过人像图片和音频/文本生成逼真的数字人播报视频。
dlazy
@dlazyai
What This Skill Does
Command-line tool that generates realistic digital human broadcast videos from a single portrait image and either an audio file or text prompt using the Jimeng OmniHuman 1.5 model. Supports resolution selection (720p/1080p) and fast mode for quicker outputs.
Replaces manual video production workflows for digital human content by automating the entire generation process from a single photo and audio/text input.
When to Use It
- Create a digital human presenter video from a portrait photo and script text
- Generate a talking-head broadcast video using a recorded audio track
- Produce a realistic virtual spokesperson for product demonstrations or announcements
- Build a multilingual digital human video by pairing a photo with translated audio
- Rapidly prototype a digital human broadcast in fast mode for quick review
Install
$ openclaw skills install @dlazyai/dlazy-jimeng-omnihuman-1-5数字人视频 即梦 OmniHuman 1.5
Generate realistic digital human broadcast videos from portrait images and audio/text using Jimeng OmniHuman 1.5.
Trigger Keywords
- digital human
- jimeng omnihuman
- generate digital human video
- virtual human broadcast
Authentication
All requests require a dLazy API key. The recommended way to authenticate is:
dlazy login
This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.
Alternative: Set the Key Manually
If you already have an API key, you can save it directly:
dlazy auth set YOUR_API_KEY
The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.
Getting Your API Key Manually
- Sign in or create an account at dlazy.com
- Go to dlazy.com/dashboard/organization/api-key
- Copy the key shown in the API Key section
Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.
About & Provenance
- CLI source code: github.com/dlazyai/cli
- Maintainer: dlazyai
- npm package:
@dlazy/cli(pinned to1.2.3in this skill's install spec) - Homepage: dlazy.com
You can install on demand without persisting a global binary by running:
npx @dlazy/cli@1.2.3 <command>
Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/cli@1.2.3). Review the GitHub source before installing.
How It Works
This skill is a thin client over the dLazy hosted API. When you invoke it:
- Prompts and parameters you provide are sent to the dLazy API endpoint (
api.dlazy.com) for inference. - Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (
files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API. - Generated output URLs returned by the API are hosted on
files.dlazy.com.
This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.
Usage
CRITICAL INSTRUCTION FOR AGENT:
Run the dlazy jimeng-omnihuman-1.5 command to get results.
dlazy jimeng-omnihuman-1.5 -h
Options:
--images [images...] Images [image: url or local path] (max 1)
--audio [audio...] Audio [audio: url or local path] (max 1)
--prompt [prompt] Prompt
--resolution [resolution] Resolution (audio limit: 1080p ≤30s, 720p ≤60s) [default: 1080p] (choices: "720p", "1080p")
--fast_mode [fast_mode] Fast Mode [default: false]
--dry-run Print payload + cost estimate without calling API
--no-wait Return generateId immediately for async tasks
--timeout <seconds> Max seconds to wait for async completion (default: "1800")
--save <path> Download the result asset to this local path (mkdir + retry handled for you)
-h, --help display help for command
Any flag also accepts pipe references —
-(auto-pick from upstream stdin),@N(n-th output),@N.path(jsonpath into output),@*(all primary values),@stdin/@stdin:path(whole envelope). Seedlazy --helpfor details.
Output Format
{
"ok": true,
"result": {
"tool": "jimeng-omnihuman-1.5",
"modelId": "jimeng-omnihuman-1-5",
"outputs": [
{
"type": "image",
"id": "o_xxxxxxxx",
"url": "https://files.dlazy.com/result.png",
"mimeType": "image/png"
}
]
}
}
Async tasks (when
--no-waitis passed) returnoutputs: []and atask: { generateId, status }field instead. Usedlazy status <generateId> --waitto poll.
Command Examples
# basic call:
dlazy jimeng-omnihuman-1.5 --prompt 'prompt text' --image '/path/to/image.png'
# complex call:
dlazy jimeng-omnihuman-1.5 --prompt 'prompt text' --image 'https://files.dlazy.com/image.png'
Error Handling
| Code | Error Type | Example Message |
|---|---|---|
| 401 | Unauthorized (No API Key) | ok: false, code: "unauthorized", message: "API key is missing or invalid" |
| 501 | Missing required parameter | error: required option '--prompt <prompt>' not specified |
| 502 | Local file read error | Error: Image file/Video file not found: C:\path\to\your\file |
| 503 | API request failed (no balance) | ok: false, code: "insufficient_balance" |
| 503 | API request failed (server error) | HTTP status code error (500 server crash) |
| 504 | Asynchronous task execution failed | === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"} |
AGENT CRITICAL INSTRUCTION:
- If the execution result returns
code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits- If the execution result returns
code: "unauthorized"or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it usingdlazy auth set <key>and resume the task.
Tips
Visit https://dlazy.com for more information.
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