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Ai Image To Video Hd

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-image-to-video-hd
功能描述
Turn a single product photo or landscape image into 1080p HD video clips just by typing what you need. Whether it's turning static images into animated HD vi...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert a single product photo or landscape image into a 1080p MP4"
  • "convert this image into a smooth HD video with motion effects"
  • "turning static images into animated HD video clips for marketers, social media creators, designers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Image to Video HD — Convert Images into HD Videos

Send me your still images and describe the result you want. The AI video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a single product photo or landscape image, type "convert this image into a smooth HD video with motion effects", and you'll get a 1080p MP4 back in roughly 30-90 seconds. All rendering happens server-side.

Worth noting: high-contrast images with clear subjects produce the smoothest motion output.

Matching Input to Actions

User prompts referencing ai image to video hd, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-image-to-video-hd, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "convert this image into a smooth HD video with motion effects" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for widest platform compatibility.

Common Workflows

Quick edit: Upload → "convert this image into a smooth HD video with motion effects" → Download MP4. Takes 30-90 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.

安全使用建议
This appears suitable if you want a cloud service to turn provided images or media into videos. Before installing, be aware that uploads and prompts go to NemoVideo’s servers, the skill uses a NEMO_TOKEN/session for API access, and the registry does not provide a homepage or source link for independent review.
功能分析
Type: OpenClaw Skill Name: ai-image-to-video-hd Version: 1.0.0 The skill provides instructions for an AI agent to interface with the nemovideo.ai API to convert images to video. It includes standard API interaction patterns such as token acquisition, session management, and file uploads to 'https://mega-api-prod.nemovideo.ai'. No evidence of data exfiltration, malicious execution, or prompt injection for harmful purposes was found; all actions are consistent with the stated functionality.
能力评估
Purpose & Capability
The cloud upload and render workflow matches the stated image-to-video purpose, but user media and prompts are processed by a remote provider.
Instruction Scope
The skill instructs the agent to automatically connect to the remote API on first interaction and route user intents to upload, render, credits, and state endpoints; this is purpose-aligned but should remain user-directed for uploads/exports.
Install Mechanism
There is no install spec and no code files, reducing local execution risk, but the registry source is unknown and no homepage is provided for independent provider review.
Credentials
The required NEMO_TOKEN or anonymous token is proportionate for the remote video service, and the skill explicitly says not to print tokens.
Persistence & Privilege
The skill saves a session_id and references a NemoVideo config path, but there is no evidence of privileged local persistence, background agents, or protected-path writes.
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 ai-image-to-video-hd
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-image-to-video-hd 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
AI Image to Video HD — initial release: - Instantly convert product or landscape images into 1080p HD video clips with simple text prompts. - Automated setup with free token and seamless cloud processing—no complex export steps. - Supports quick social content creation: upload images, describe effects, and receive finished MP4 files in 30–90 seconds. - Clear workflows for uploading, editing, previewing timeline, and exporting videos. - Handles credits, errors, and status queries with user-friendly feedback. - Accepts a variety of image, video, and audio file types (up to 200MB).
元数据
Slug ai-image-to-video-hd
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

Ai Image To Video Hd 是什么?

Turn a single product photo or landscape image into 1080p HD video clips just by typing what you need. Whether it's turning static images into animated HD vi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。

如何安装 Ai Image To Video Hd?

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

Ai Image To Video Hd 是免费的吗?

是的,Ai Image To Video Hd 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Image To Video Hd 支持哪些平台?

Ai Image To Video Hd 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 Ai Image To Video Hd?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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