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Image To Video Ai Unrestricted

v1.0.0

Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "a...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tk8544-b/image-to-video-ai-unrestricted.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Image To Video Ai Unrestricted" (tk8544-b/image-to-video-ai-unrestricted) from ClawHub.
Skill page: https://clawhub.ai/tk8544-b/image-to-video-ai-unrestricted
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install image-to-video-ai-unrestricted

ClawHub CLI

Package manager switcher

npx clawhub@latest install image-to-video-ai-unrestricted
Security Scan
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Purpose & Capability
Name and description claim an image→video cloud service and the instructions call the mega-api-prod.nemovideo.ai backend — this is coherently aligned. The declared required env (NEMO_TOKEN) and config path (~/.config/nemovideo/) are plausible for such a service, but the SKILL.md also describes creating an anonymous token automatically if NEMO_TOKEN is missing, so the declared requirement is inconsistent with the runtime instructions.
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Instruction Scope
Runtime instructions instruct the agent to upload user-provided image files and to POST/ poll multiple endpoints on mega-api-prod.nemovideo.ai (session creation, SSE, file upload, render/export). That is expected for a cloud render service, but it means user files and prompts will be sent to an external API. The skill also advertises being 'unrestricted' (bypassing content filters), which increases legal/privacy/abuse risk even though it is not a technical incoherence by itself.
Install Mechanism
No install spec or code files — instruction-only skill; nothing is written to disk by an installer (lowest install risk).
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Credentials
The registry marks NEMO_TOKEN as required (primaryEnv), but SKILL.md explicitly documents creating an anonymous token via the anonymous-token endpoint when NEMO_TOKEN is absent. This is an inconsistency: the skill can operate without the user-supplied credential. Also a config path (~/.config/nemovideo/) is declared in metadata but the instructions don't require reading that path. Otherwise the skill requests only one credential, which is proportionate for a cloud API.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill uses transient session tokens and renders API calls; it does not request permanent system-wide privileges or modify other skills. Token lifetime is short (7 days) per the instructions and the skill reconnects as needed.
What to consider before installing
This skill will upload whatever images and prompts the user provides to https://mega-api-prod.nemovideo.ai and may create an anonymous NEMO_TOKEN on your behalf if you don't supply one. Before installing or using it: (1) do not upload sensitive or private images unless you trust the service; (2) understand that the 'unrestricted' claim may allow generation of content that violates platform policies or laws — check your legal/organizational rules; (3) the skill's metadata says you must provide NEMO_TOKEN but the runtime will obtain an anonymous token automatically, so if you want control supply your own token or avoid installation; (4) verify the service origin and privacy policy if possible; (5) consider testing with non-sensitive images and monitoring network activity or logs. If you want me to, I can extract every API path/ header the SKILL.md will call and produce a minimal checklist for network allowlisting or review.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎞️ Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97cz8v637y8cz9ysagpjevf4984ynaz
55downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

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 portrait image into a 1080p MP4"
  • "animate this image into a 5-second video clip with motion"
  • "converting static images into moving video content without content restrictions for content creators, marketers, artists"

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.

Image to Video AI Unrestricted — Convert Images Into Video Clips

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

Say you have a single product photo or portrait image and want to animate this image into a 5-second video clip with motion — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: high-contrast images with clear subjects produce smoother and more realistic motion output.

Matching Input to Actions

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

User says...ActionSkip 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.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is image-to-video-ai-unrestricted, 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).

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Backend Response Translation

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

Backend saysYou 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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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.

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)

Common Workflows

Quick edit: Upload → "animate this image into a 5-second video clip with 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 "animate this image into a 5-second video clip with 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 social platforms and video editors.

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