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dsewell-583h0

Ai Image To Video Online

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-image-to-video-online
Description
convert still images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for convertin...
README (SKILL.md)

Getting Started

Send me your still images and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

  • "convert a single product photo or landscape image into a 1080p MP4"
  • "turn this image into a 10-second animated video with smooth motion"
  • "converting static images into short animated videos for social media creators"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Image to Video Online — Convert Images into Video Clips

Drop your still images in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a single product photo or landscape image, ask for turn this image into a 10-second animated video with smooth motion, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — high-contrast images with clear subjects produce the most natural-looking motion.

Matching Input to Actions

User prompts referencing ai image to video online, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: 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-online, 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).

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

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.

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

Common Workflows

Quick edit: Upload → "turn this image into a 10-second animated video with smooth motion" → 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 this image into a 10-second animated video with smooth motion" — 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 all social platforms.

Usage Guidance
This skill appears to be what it says: a cloud image→video converter that needs a NEMO_TOKEN (or will obtain an anonymous token) and will upload your images to https://mega-api-prod.nemovideo.ai for processing. Before installing, consider: (1) privacy — uploaded images and any metadata leave your machine and are processed by the remote service; avoid sending sensitive images unless you trust the service and its retention policy; (2) token management — if you provide a personal NEMO_TOKEN, treat it like a secret and revoke it if you suspect misuse; (3) metadata mismatch — the SKILL.md references a config path (~/.config/nemovideo/) that the registry did not list; ask the publisher which path (if any) will be written to and where tokens are stored; (4) verify the remote domain and service terms if you care about copyright or retention. If you need more assurance, request the publisher/source, privacy policy, or example API responses to review.
Capability Analysis
Type: OpenClaw Skill Name: ai-image-to-video-online Version: 1.0.0 The skill provides a functional integration for an image-to-video conversion service hosted at nemovideo.ai. The SKILL.md file contains standard operational instructions for the AI agent to manage API authentication (via NEMO_TOKEN), session creation, and file uploads. There are no indicators of data exfiltration, malicious execution, or prompt injection designed to compromise the user's system or data.
Capability Assessment
Purpose & Capability
The skill claims to convert images to animated video and all required items map to that purpose: a single service token (NEMO_TOKEN) and API calls to a named backend. One minor inconsistency: the SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this is a documentation mismatch but does not materially change capability.
Instruction Scope
Instructions are explicit about checking NEMO_TOKEN, creating an anonymous token by POSTing a UUID to https://mega-api-prod.nemovideo.ai, creating sessions, uploading files, using SSE for edits, polling exports, and returning download URLs. Those actions are expected for a cloud render service. Note: the skill will transmit user image files and job metadata to the remote domain—privacy of content depends on that service. It also derives an X-Skill-Platform header by inspecting install paths, which implies reading the agent's install path but not other unrelated secrets.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by the skill itself, lowering install-time risk.
Credentials
Only one declared credential (NEMO_TOKEN) is required, which is proportionate to a cloud API. The SKILL.md also includes a fallback that requests an anonymous token from the service if NEMO_TOKEN is missing — this is reasonable but means the skill will contact the remote API and obtain a short-lived token on behalf of the user. The earlier-mentioned config path in frontmatter is inconsistent with the registry listing and should be clarified.
Persistence & Privilege
always:false and no requests to modify other skills or system-wide settings. The skill maintains session_id state for jobs but does not request elevated or persistent host privileges. Note that disable-model-invocation is false (normal), so the agent can call the skill autonomously when permitted.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-image-to-video-online
  3. After installation, invoke the skill by name or use /ai-image-to-video-online
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of AI Image to Video Online — instantly convert still images into animated video clips. - Upload JPG, PNG, WEBP, or HEIC images up to 200MB and convert to 1080p MP4 videos in 30–60 seconds. - Seamless cloud GPU processing; no local installation required. - Automatic session and token management with 100 free credits on first use. - Simple command-based workflows: upload, generate, edit, preview, export, and check credits. - Supports social media creators with quick, high-quality video output for enhanced engagement.
Metadata
Slug ai-image-to-video-online
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Image To Video Online?

convert still images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for convertin... It is an AI Agent Skill for Claude Code / OpenClaw, with 85 downloads so far.

How do I install Ai Image To Video Online?

Run "/install ai-image-to-video-online" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Image To Video Online free?

Yes, Ai Image To Video Online is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Image To Video Online support?

Ai Image To Video Online is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Image To Video Online?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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