一键导入
dlazy-jimeng-dream-actor
Convert static character images into vivid action videos with Jimeng Dream Actor. 使用即梦 (Jimeng) Dream Actor,将静态人物图片转化为生动的动作视频。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Convert static character images into vivid action videos with Jimeng Dream Actor. 使用即梦 (Jimeng) Dream Actor,将静态人物图片转化为生动的动作视频。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Audio generation skill. Automatically selects the best dlazy CLI audio/TTS model based on the prompt. 音频生成技能。根据提示词自动选择最佳的 dlazy CLI 音频/TTS 模型。
Generate/edit images with Nano Banana Pro. Supports text-to-image and image-to-image. 使用 Nano Banana Pro 生成/编辑图片,支持文生图与图生图。
Generate/edit high-quality images with Nano Banana 2.0. Supports text-to-image and image-to-image. 使用 Nano Banana 2.0 生成/编辑高质量图片,支持文生图与图生图。
Chat with the dlazy sandbox agent — a project-scoped assistant that runs skills end-to-end over multiple turns. Discover skills and projects with dlazy skills list / dlazy projects list. 与 dlazy 沙箱 agent 对话 —— 一个以项目为单位、可端到端运行技能的多轮助手。用 dlazy skills list / dlazy projects list 发现可用技能与项目。
Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型,擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。
Synthesize text into natural and fluent speech using Doubao TTS. 使用豆包 (Doubao) TTS 文本转语音模型,将文字合成为自然流畅的语音播报。
| name | dlazy-jimeng-dream-actor |
| version | 1.3.0 |
| description | Convert static character images into vivid action videos with Jimeng Dream Actor. 使用即梦 (Jimeng) Dream Actor,将静态人物图片转化为生动的动作视频。 |
| metadata | {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@latest","installAlternative":"npx @dlazy/cli@latest","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"When invoking this skill, use dlazy jimeng-dream-actor -h for help."}} |
Convert static character images into vivid action videos with Jimeng Dream Actor.
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.
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.
Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.
@dlazy/cli (pinned to 1.0.9 in this skill's install spec)You can install on demand without persisting a global binary by running:
npx @dlazy/cli@latest <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@latest). Review the GitHub source before installing.
This skill is a thin client over the dLazy hosted API. When you invoke it:
api.dlazy.com) for inference.files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.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.
CRITICAL INSTRUCTION FOR AGENT:
Run the dlazy jimeng-dream-actor command to get results.
dlazy jimeng-dream-actor -h
Options:
--prompt [prompt] Prompt
--images [images...] Images [image: url or local path] (max 1)
--videos [videos...] Videos [video: url or local path] (max 1)
--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")
-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.
{
"ok": true,
"result": {
"tool": "jimeng-dream-actor",
"modelId": "jimeng-dream-actor",
"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.
# basic call:
dlazy jimeng-dream-actor --prompt 'prompt text' --image '/path/to/image.png'
# complex call:
dlazy jimeng-dream-actor --prompt 'prompt text' --image 'https://files.dlazy.com/image.png'
| 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.
Visit https://dlazy.com for more information.