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Vidix Ai Photo Video Generator

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install vidix-ai-photo-video-generator
功能描述
Turn five product photos in JPG format into 1080p animated photo videos just by typing what you need. Whether it's generating short videos from a set of phot...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your photos or images here or describe what you want to make.

Try saying:

  • "generate five product photos in JPG format into a 1080p MP4"
  • "turn these photos into a short video with transitions and music"
  • "generating short videos from a set of photos for social media creators"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Vidix AI Photo Video Generator — Turn Photos Into Shareable Videos

This tool takes your photos or images and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have five product photos in JPG format and want to turn these photos into a short video with transitions and music — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: using 5-10 photos gives the best pacing for short-form video output.

Matching Input to Actions

User prompts referencing vidix ai photo video generator, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: vidix-ai-photo-video-generator
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Common Workflows

Quick edit: Upload → "turn these photos into a short video with transitions and music" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these photos into a short video with transitions and music" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, WEBP, HEIC for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

安全使用建议
This skill looks coherent for cloud video generation. Before installing, be comfortable uploading your photos or other media to the Nemo/Vidix backend, using or generating a NEMO_TOKEN, and having project state tied to a session while the render completes.
功能分析
Type: OpenClaw Skill Name: vidix-ai-photo-video-generator Version: 1.0.0 The skill is a legitimate integration for the Vidix AI video generation service (nemovideo.ai). It manages a standard cloud-based media processing workflow, including anonymous token acquisition, session management, and file uploads to the service's API. The instructions in SKILL.md specifically advise the agent against displaying sensitive tokens to the user and focus entirely on the stated purpose of converting photos to video without any indicators of malicious intent or unauthorized data access.
能力评估
Purpose & Capability
The described capability is coherent: upload photos/images, describe a desired video, and receive a cloud-rendered MP4. The main user-visible risk is that media is processed by an external service.
Instruction Scope
The skill instructs the agent to connect to the backend automatically on first use and create a session/token if needed. This is disclosed and purpose-aligned, but users should know an external service is contacted.
Install Mechanism
No install spec or code files are present; this is an instruction-only skill, and the static scan reported no findings.
Credentials
Network access, file upload, and export endpoints are proportionate for cloud video generation, but uploaded photos/videos/audio may be sensitive.
Persistence & Privilege
The skill uses NEMO_TOKEN and stores a session_id for subsequent requests; this is expected for the service, but credential/session handling should be reviewed before use.
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 vidix-ai-photo-video-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vidix-ai-photo-video-generator 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
Vidix AI Photo Video Generator 1.0.0 - Initial release: Quickly turn 5–10 product photos (JPG and other image formats) into animated, shareable 1080p videos with transitions and music. - No video editing required: Just upload files and describe the desired output—no need to set timelines or export options. - Fast processing: Most jobs complete in 30–60 seconds with instant download links. - Credit-based usage with simple, auto-handled authentication (100 free credits on sign-up, tokens valid for 7 days). - Robust error handling and workflow guidance, including previews, edit state summaries, and file support details.
元数据
Slug vidix-ai-photo-video-generator
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

Vidix Ai Photo Video Generator 是什么?

Turn five product photos in JPG format into 1080p animated photo videos just by typing what you need. Whether it's generating short videos from a set of phot... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Vidix Ai Photo Video Generator?

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

Vidix Ai Photo Video Generator 是免费的吗?

是的,Vidix Ai Photo Video Generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Vidix Ai Photo Video Generator 支持哪些平台?

Vidix Ai Photo Video Generator 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 Vidix Ai Photo Video Generator?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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