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francemichaell-15

Image To Video Meme Ai

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install image-to-video-meme-ai
功能描述
convert still images into animated meme videos with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. TikTok creators use it for turning static m...
使用说明 (SKILL.md)

Getting Started

Got still images to work with? Send it over and tell me what you need — I'll take care of the AI meme video creation.

Try saying:

  • "convert a single reaction image or meme template PNG into a 1080p MP4"
  • "turn this image into a short looping meme video with animated text and sound effect"
  • "turning static meme images into shareable video clips for TikTok 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.

Image to Video Meme AI — Convert Images into Meme Videos

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

Say you have a single reaction image or meme template PNG and want to turn this image into a short looping meme video with animated text and sound effect — the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

Tip: square or vertical images work best for TikTok and Reels output.

Matching Input to Actions

User prompts referencing image to video meme ai, 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 image-to-video-meme-ai
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

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 short looping meme video with animated text and sound effect" → Download MP4. Takes 20-40 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 short looping meme video with animated text and sound effect" — 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.

安全使用建议
This skill uploads images and related data to a third‑party API (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN bearer token for requests. Before installing, verify you trust that service and its privacy/retention policies for user media; consider removing any sensitive images from prompts. Note the metadata says NEMO_TOKEN is required but the instructions will generate an anonymous token if none is set — decide whether you want the skill to auto-create anonymous tokens or prefer to provide your own token. Finally, confirm the external domain is legitimate for your use case and avoid including other secrets in prompts or files you upload.
功能分析
Type: OpenClaw Skill Name: image-to-video-meme-ai Version: 1.0.0 The image-to-video-meme-ai skill is a legitimate tool designed to interface with the nemovideo.ai cloud API for generating meme videos from images. The SKILL.md file provides clear instructions for the AI agent to manage authentication tokens, handle sessions, and interact with specific API endpoints (e.g., mega-api-prod.nemovideo.ai) for uploading media and polling render status. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the skill's behavior is entirely consistent with its stated purpose.
能力评估
Purpose & Capability
The skill's name/description (convert images to meme videos) matches the declared requirement (NEMO_TOKEN) and the SKILL.md which describes a cloud render pipeline and upload/export endpoints to a third‑party service. Required binaries are none and no unrelated services or credentials are requested.
Instruction Scope
Instructions clearly direct the agent to upload user images and metadata to https://mega-api-prod.nemovideo.ai and to include an Authorization Bearer token and attribution headers on every request. This is expected for a cloud processing skill, but it means user files (and any metadata you pass) will be transmitted to an external service — confirm you are comfortable with that and verify the service's privacy policy.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing will be written to disk by an installer. That lowers installation risk.
Credentials
Only one env var (NEMO_TOKEN) is declared, which is proportional to the described cloud API usage. Minor inconsistency: SKILL.md states it will auto-acquire an anonymous token if NEMO_TOKEN is absent, but the registry metadata marks NEMO_TOKEN as a required env var — this mismatch should be clarified. Metadata also lists a config path (~/.config/nemovideo/) that the instructions never reference.
Persistence & Privilege
always is false and there is no install-time persistence requested. The skill can be invoked autonomously (the platform default) but it does not request elevated or permanent platform privileges.
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 image-to-video-meme-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-to-video-meme-ai 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
Initial release of Image to Video Meme AI. - Converts static images (JPG, PNG, WEBP, GIF up to 200MB) into animated meme videos with text and sound. - Enables TikTok-ready 1080p MP4 export in ~20–40 seconds using cloud GPUs. - Automated connection setup and token handling for seamless onboarding. - Supports credits checking, task status, and export/download actions with clear user prompts. - Full cloud render pipeline with session management, file upload, and job polling. - Provides error handling and workflow tips for smooth editing and export.
元数据
Slug image-to-video-meme-ai
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

Image To Video Meme Ai 是什么?

convert still images into animated meme videos with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. TikTok creators use it for turning static m... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 107 次。

如何安装 Image To Video Meme Ai?

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

Image To Video Meme Ai 是免费的吗?

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

Image To Video Meme Ai 支持哪些平台?

Image To Video Meme Ai 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 Image To Video Meme Ai?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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