Image To Video No Limits

v1.0.0

convert images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. content creators, marketers, social media manage...

0· 68·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for susan4731-wilfordf/image-to-video-no-limits.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Image To Video No Limits" (susan4731-wilfordf/image-to-video-no-limits) from ClawHub.
Skill page: https://clawhub.ai/susan4731-wilfordf/image-to-video-no-limits
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-no-limits

ClawHub CLI

Package manager switcher

npx clawhub@latest install image-to-video-no-limits
Security Scan
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medium confidence
Purpose & Capability
Name, description, and declared primary credential (NEMO_TOKEN) align with a cloud-based image→video service. All required operations (session creation, SSE, upload, export) match the stated goal of remote rendering.
Instruction Scope
SKILL.md instructs the agent to obtain/use a NEMO_TOKEN, create sessions, perform SSE, upload files (multipart or URL), poll render status, and return download URLs — all expected for this service. It will send user images and instructions to mega-api-prod.nemovideo.ai (expected). Note: the instructions include auto-creation of an anonymous token (POST to /api/auth/anonymous-token) and ask the agent to detect install path to set X-Skill-Platform headers; these imply network I/O and some local path checks but stay within the task. Users should be aware that image data is uploaded to a third-party service.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk delivery. Nothing is downloaded or written to disk by an installer step in the package.
Credentials
Only one credential (NEMO_TOKEN) is declared as required/primary, which is appropriate for a cloud rendering API. The SKILL.md will acquire an anonymous token if none is present. Minor inconsistency: metadata in SKILL.md references a config path (~/.config/nemovideo/) though registry metadata listed no required config paths; this suggests the skill may look for local config but does not demand it.
Persistence & Privilege
always:false and no requests to modify other skills or system-wide settings. The skill stores session_id for operations (normal per-session state) and uses tokens to talk to the backend; no elevated platform privileges requested.
Assessment
This skill uploads your images and job data to a third‑party backend (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN to authenticate; if you don't provide a token the skill will request an anonymous token for you. Before installing, consider whether you trust that service with the images and any embedded metadata (EXIF). If you need stronger control, provide your own NEMO_TOKEN from an account you trust or avoid sending sensitive images. Note the SKILL.md may check standard config/install paths to set an X-Skill-Platform header — harmless for functionality but worth knowing about. Finally, review the service's privacy/terms if you plan to process proprietary or personally identifiable content.

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

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk974st8p8xeqneephewa6ngak584wqak
68downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "convert three landscape photos or product shots into a 1080p MP4"
  • "turn these images into a smooth video with transitions and motion effects"
  • "converting still images into fluid videos without restrictions on style or length for content creators, marketers, social media managers"

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 No Limits — Convert Images Into Videos Freely

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

A quick example: upload three landscape photos or product shots, type "turn these images into a smooth video with transitions and motion effects", and you'll get a 1080p MP4 back in roughly 30-90 seconds. All rendering happens server-side.

Worth noting: higher contrast images with clear subjects produce smoother motion results.

Matching Input to Actions

User prompts referencing image to video no limits, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is image-to-video-no-limits, 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).

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

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.

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.

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

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)

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

Common Workflows

Quick edit: Upload → "turn these images into a smooth video with transitions and 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn these images into a smooth video with transitions and 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 for widest compatibility across social platforms and devices.

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