What makes 视频生成通义万相 Wan 2.7 notable?

4.3K downloads. Trust evidence available

How should 视频生成通义万相 Wan 2.7 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

视频生成通义万相 Wan 2.7

Tongyi Wanxiang 2.7 video model 鈥?one model covers text-to-video, first/last-frame-to-video, and reference-to-video.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

4.3k

Updated

Oct 9, 2026

Version

1.3.25

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 4.3K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 4.3K downloadsadoption · observed Oct 9, 2026
Latest release: 1.3.25release · observed Oct 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-wan2-7

Install using `clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-wan2-7` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/dlazyai/dlazy-wan2-7 before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-wan2-7/snapshot"

Documentation

CLAWHUB

148,179 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: dlazy-wan2.7
version: 1.3.4
description: "Tongyi Wanxiang 2.7 video model 鈥?one model covers text-to-video, first/last-frame-to-video, and reference-to-video."
metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/[email protected]","installAlternative":"npx @dlazy/[email protected]","homepage":"https://github.com/dlazy-ai/cli","source":"https://github.com/dlazy-ai/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 wan2.7 -h for help."}}
---

# 视频生成 通义万相 Wan 2.7

[English](./SKILL.md) · [中文](./SKILL-cn.md)


Tongyi Wanxiang 2.7 video model. Covers text-to-video, first/last-frame-to-video, and reference-to-video.

## Trigger Keywords

- wan 2.7
- video generation

## Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

```bash
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:

```bash
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

1. Sign in or create an account at [dlazy.com](https://dlazy.com)
2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)
3. 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/dlazy-ai/cli](https://github.com/dlazy-ai/cli)
- **Maintainer**: dlazyai
- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)
- **Homepage**: [dlazy.com](https://dlazy.com)

You can install on demand without persisting a global binary by running:

```bash
npx @dlazy/[email protected] <command>
```

Or, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/[email protected]`). 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 an

_meta.json

{
  "ownerId": "kn7c5wgeajfcfvdfb5ceemvdb984cjpd",
  "slug": "dlazy-wan2-7",
  "version": "1.3.25",
  "publishedAt": 1791423464456
}

skill-card.md

## Description:

Helps agents generate videos from text prompts, first and last frames, or reference media using Tongyi Wanxiang 2.7 through dLazy.

This skill is ready for commercial/non-commercial use.

## Publisher:

[dlazyai](https://clawhub.ai/user/dlazyai)

### License/Terms of Use:

MIT-0

## Use Case:

Creators and developers use this skill to request videos from text, reference media, or first and last frames via a dLazy account.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Installing a third-party npm CLI runs code outside the skill files.

Mitigation: Review the CLI source before installation and use the pinned npx command if a persistent global installation is unnecessary.

Risk: Authentication can store a dLazy API key in local CLI configuration.

Mitigation: Protect the local configuration and rotate or remove the key when it is no longer needed.

Risk: User-selected local media is uploaded to dLazy for generation.

Mitigation: Submit only media you are comfortable sharing with dLazy.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-wan2-7)
- [dLazy CLI source (linked in skill metadata; not verified release provenance)](https://github.com/dlazy-ai/cli)
- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)
- [dLazy service](https://dlazy.com)

## Skill Output:

**Output Type(s):** [Text, Shell commands, Guidance]

**Output Format:** [Text with CLI commands and generated media links]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include an asynchronous task ID or a link to generated media; results can optionally be downloaded.]

## Skill Version(s):

1.3.25 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

SKILL-cn.md

---
name: dlazy-wan2.7
version: 1.3.4
description: "通义万相 2.7 视频模型 —— 单一模型支持文生视频、图生视频、首尾帧视频及参考图生成视频。"
metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/[email protected]","installAlternative":"npx @dlazy/[email protected]","homepage":"https://github.com/dlazy-ai/cli","source":"https://github.com/dlazy-ai/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":"当调用此技能时，可以使用 dlazy wan2.7 -h 查看帮助信息。"}}
---

# 视频生成 通义万相 Wan 2.7

[English](./SKILL.md) · [中文](./SKILL-cn.md)


通义万相 2.7 视频模型 —— 支持文生视频，首尾帧生视频，以及参考图/视频生视频。

## 触发关键词

- wan 2.7
- 通义万相 2.7
- 视频生成

## 身份验证 (Authentication)

所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：

```bash
dlazy login
```

该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。

### 备选：手动设置 API Key

如果你已有 API key，也可以直接保存：

```bash
dlazy auth set YOUR_API_KEY
```

CLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\.dlazy\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。

### 手动获取 API Key

1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号
2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)
3. 复制 API Key 区域显示的密钥

每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。

## 关于与来源 (Provenance)

- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)
- **维护者**: dlazyai
- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）
- **官网**: [dlazy.com](https://dlazy.com)

如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：

```bash
npx @dlazy/[email protected] <command>
```

如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/[email protected]`。安装前建议先到 GitHub 仓库审阅源码。

## 工作原理

此技能是 dLazy 托管 API 的轻量封装。调用时：

- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。
- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。
- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。

这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。

## 使用方法

**CRITICAL INSTRUCTION FOR AGENT**:
执行 `dlazy wan2.7` 命令获取结果。

```bash
dlazy wan2.7 -h

Options:
  --prompt [prompt]                    提示词
  --generation_mode [generation_mode]  生成模式（components=参考图; frames=首尾帧） [default: components] (choices: "components", "frames")
  --images [images...]                 参考图 [image: url or local path] (max 5) [only when !(generation_mode="frames")]
  --videos [videos...]                 参考视频 [video: url or local path] (max 5) [only when !(generation_mode="frames")]
  --firstFrame [firstFrame]            首帧图 [image: url or local path] [only when generation_mode="frames"]
  --lastFrame [lastFrame]              尾帧图 [image: url or local path] [only when generation_mode="frames"]
  --audio [audio]                      音频 [audio: url or local path]

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