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Google vertex video adc

作者 0YU · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
33
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install vertex-video-adc
功能描述
Generate videos via Google Cloud Vertex AI predictLongRunning (Veo) using Application Default Credentials (ADC).
使用说明 (SKILL.md)

Google Cloud Vertex AI Video Generator (ADC)

This skill utilizes the Google Cloud SDK (gcloud) and application credentials to call the Google Cloud Vertex AI predictLongRunning (Veo) endpoint, generating videos from text prompts or reference images.

Workflow

  1. Configure required environment variables or parameters:
    • GOOGLE_CLOUD_PROJECT: Your Google Cloud Project ID.
    • GOOGLE_CLOUD_LOCATION (Optional): Location/region (defaults to us-central1).
    • GOOGLE_CLOUD_MODEL (Optional): Model name (defaults to veo-3.1-generate-001).
  2. Construct/save prompt to a local text file.
  3. Call the generation script.

Commands

Text-to-Video

python3 {baseDir}/scripts/video_harness.py --prompt-file \x3Cprompt_path> --out \x3Coutput_path>

Image-to-Video

Provide an optional reference image:

python3 {baseDir}/scripts/video_harness.py --prompt-file \x3Cprompt_path> --image \x3Cimage_path> --out \x3Coutput_path>

Advanced Usage

  • Specify custom project, location, and model:
python3 {baseDir}/scripts/video_harness.py --prompt-file \x3Cprompt_path> --out \x3Coutput_path> --project \x3Cproject_id> --location \x3Clocation> --model \x3Cmodel>
  • Custom resolution/aspect ratio/duration/audio generation:
python3 {baseDir}/scripts/video_harness.py --prompt-file \x3Cprompt_path> --out \x3Coutput_path> --aspect-ratio 16:9 --duration 5 --resolution 720p --generate-audio false

Setup & Requirements

  • Google Cloud SDK (gcloud CLI) installed and available in $PATH.
  • Active authentication token:
    • Default ADC mode: gcloud auth application-default login
    • User-token mode: gcloud auth login
  • The system must have curl installed to issue the API request.
安全使用建议
Review this before installing on shared machines or when prompts, source images, or generated videos are sensitive. The Google Cloud/API behavior is expected, but the script should ideally remove default debug persistence or write any debug files to private, per-run locations with restrictive permissions.
能力评估
Purpose & Capability
The stated purpose is Vertex AI video generation, and the script's use of prompts, optional reference images, Google Cloud authentication, curl, and output video files is coherent with that purpose.
Instruction Scope
The user-facing instructions disclose gcloud, curl, ADC/user-token authentication, prompt files, optional image input, and output paths, but they do not mention that raw API response data is also written locally for debugging.
Install Mechanism
The artifact contains README.md, SKILL.md, and one Python script; there is no installer, startup hook, background service, or bundled obfuscated code.
Credentials
Google Cloud credentials and project/location environment variables are proportionate for Vertex AI generation, but users should understand that the skill obtains an access token through gcloud and sends prompt/image content to Google Cloud.
Persistence & Privilege
The script writes predictLongRunning, polling, and final operation responses to fixed filenames in the system temp directory by default, without a debug flag, cleanup, randomized names, or disclosure in the skill instructions.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install vertex-video-adc
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vertex-video-adc 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Generate videos using Google Cloud Vertex AI (Veo) via Application Default Credentials. - Supports text-to-video and image-to-video generation from prompt files. - Uses the `gcloud` CLI and `curl` for API access and authentication. - Allows custom project, location, model, resolution, aspect ratio, duration, and audio settings. - Requires Google Cloud SDK and `curl` to be installed. - Simple CLI workflow for prompt handling and video generation.
元数据
Slug vertex-video-adc
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Google vertex video adc 是什么?

Generate videos via Google Cloud Vertex AI predictLongRunning (Veo) using Application Default Credentials (ADC). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 33 次。

如何安装 Google vertex video adc?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install vertex-video-adc」即可一键安装,无需额外配置。

Google vertex video adc 是免费的吗?

是的,Google vertex video adc 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Google vertex video adc 支持哪些平台?

Google vertex video adc 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Google vertex video adc?

由 0YU(@neogeosnk)开发并维护,当前版本 v1.0.0。

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