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whitejohnk-26

Ai Image To Video Miricanvas

by whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-image-to-video-miricanvas
Description
convert static images into animated image videos with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. marketers and social media creators use i...
README (SKILL.md)

Getting Started

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

Try saying:

  • "convert three product photos in JPG format into a 1080p MP4"
  • "turn my images into a smooth animated video with transitions"
  • "converting still images into animated MP4 videos for marketers and social media creators"

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 MiriCanvas — Convert Images Into MP4 Videos

Drop your static 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 three product photos in JPG format, ask for turn my images into a smooth animated video with transitions, 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 — using fewer images with clear subjects produces smoother AI animations.

Matching Input to Actions

User prompts referencing ai image to video miricanvas, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source ai-image-to-video-miricanvas
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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.

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 my images into a smooth animated video with transitions" → 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 my images into a smooth animated video with transitions" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms.

Usage Guidance
This skill appears purpose-aligned for cloud image-to-video conversion. Before installing, understand that your uploaded media will be sent to mega-api-prod.nemovideo.ai and that a NEMO_TOKEN or anonymous session token will be used for processing and credits. Avoid sensitive media unless you trust the provider, and ask for confirmation before exports if credit usage matters.
Capability Analysis
Type: OpenClaw Skill Name: ai-image-to-video-miricanvas Version: 1.0.0 The skill is a legitimate integration for an AI image-to-video conversion service hosted at mega-api-prod.nemovideo.ai. The instructions in SKILL.md correctly define API workflows for session management, file uploads, and video rendering without any signs of data exfiltration, malicious command execution, or prompt injection. The use of environment variables and configuration paths (~/.config/nemovideo/) is consistent with the stated purpose.
Capability Assessment
Purpose & Capability
The stated purpose is to convert uploaded images into MP4 videos using cloud GPUs, and the documented API workflow matches that purpose.
Instruction Scope
The skill performs automatic API setup on first interaction and translates backend GUI-style responses into API actions; this appears purpose-aligned but means some workflow steps are handled automatically.
Install Mechanism
There is no install spec and no code files; this is an instruction-only skill with no local package or binary execution shown.
Credentials
The skill requires or obtains a NEMO_TOKEN and uploads user-provided media to the documented cloud API, which is expected for this service but should be understood before use.
Persistence & Privilege
The skill creates a remote session_id and may use a 7-day anonymous token; no hidden local persistence or privilege escalation is shown.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-image-to-video-miricanvas
  3. After installation, invoke the skill by name or use /ai-image-to-video-miricanvas
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — convert static images into animated MP4 videos using cloud GPUs. - Supports JPG, PNG, WEBP, and GIF files up to 200MB. - Automated setup: free token generation and session establishment for easy out-of-the-box use. - Export 1080p MP4 videos; typical processing takes 30-60 seconds. - Designed for marketers and social media creators needing quick image-to-video workflows. - Simple commands for upload, export, credits balance, and project status. - Error handling and helpful guidance for file types, credits, and export issues.
Metadata
Slug ai-image-to-video-miricanvas
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 Miricanvas?

convert static images into animated image videos with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. marketers and social media creators use i... It is an AI Agent Skill for Claude Code / OpenClaw, with 33 downloads so far.

How do I install Ai Image To Video Miricanvas?

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

Is Ai Image To Video Miricanvas free?

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

Which platforms does Ai Image To Video Miricanvas support?

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

Who created Ai Image To Video Miricanvas?

It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.

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