← 返回 Skills 市场
mory128

Image To Video Creator Ai

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
92
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install image-to-video-creator-ai
功能描述
convert images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. marketers, social media creators, small business...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert three product photos or a single landscape image into a 1080p MP4"
  • "turn these photos into a 30-second video with smooth transitions and background music"
  • "converting still images into shareable videos for social media for marketers, social media creators, small business owners"

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.

Image to Video Creator AI — Turn Images into MP4 Videos

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 product photos or a single landscape image, type "turn these photos into a 30-second video with smooth transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: using high-resolution images produces sharper, more professional-looking output videos.

Matching Input to Actions

User prompts referencing image to video creator 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.

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

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

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

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

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

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

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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

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.

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

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 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 these photos into a 30-second video with smooth transitions and background music" → 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 these photos into a 30-second video with smooth transitions and background music" — 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.

安全使用建议
Before installing, consider the following: (1) provenance — this skill has no source repo or homepage and calls an external host (mega-api-prod.nemovideo.ai); verify that domain and the project are legitimate. (2) Privacy — using the skill will upload your images (including any sensitive content) to that external service; review their terms, retention policy, and whether uploads are encrypted in transit and at rest. (3) Credentials — the skill accepts a NEMO_TOKEN; provide a scoped or throwaway token if possible (do not put a long-lived account-wide secret in a global NEMO_TOKEN). (4) Metadata mismatch — ask the publisher to clarify why SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) that is not declared elsewhere. (5) Testing — if you proceed, test with non-sensitive images first and monitor network calls. If the vendor/source cannot be verified or you cannot obtain privacy/retention guarantees, avoid installing or restrict use to disposable tokens and dummy content.
功能分析
Type: OpenClaw Skill Name: image-to-video-creator-ai Version: 1.0.0 The skill is a functional integration for the 'nemovideo.ai' cloud service, allowing users to convert images into videos. It follows standard API patterns for authentication, session management, and file uploads, and includes security-conscious instructions such as avoiding the printing of raw tokens. No indicators of data exfiltration, malicious execution, or harmful prompt injection were identified in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name/description (convert images to MP4) aligns with the SKILL.md which calls a remote rendering API and describes upload, SSE and export flows. Requesting a single NEMO_TOKEN credential is proportional. However, the skill has no listed source/homepage and the registry metadata in the scanned manifest omitted config paths while the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) — a mild inconsistency in metadata/provenance.
Instruction Scope
Instructions remain within the service's domain: creating/using a NEMO_TOKEN, creating a session, uploading images, streaming SSE, polling render status, and returning a download URL. The agent is instructed to upload local files (multipart -F "files=@/path"), which is expected for this skill but means user images are transmitted to the external API. The SKILL.md does not ask the agent to read unrelated system files, but it does reference a config path in metadata that is not otherwise used in the instructions.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest installation risk. Nothing will be written to disk by an installer step. The runtime instructions will, however, cause outbound network calls to the described API.
Credentials
Only one environment variable (NEMO_TOKEN) is required and declared as primaryEnv, which is appropriate for an API-backed renderer. The SKILL.md also describes generating an anonymous token via API if no NEMO_TOKEN is present. The frontmatter's configPaths claim (~/.config/nemovideo/) is not reflected in the registry 'Requirements' listing and is not necessary to the documented flows — this mismatch should be clarified.
Persistence & Privilege
always is false and there is no install step that modifies other skills or system-wide settings. The skill runs as an instruction-only integration and does not request permanent elevated presence.
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-creator-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /image-to-video-creator-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 Creator AI. - Convert JPG, PNG, WEBP, and HEIC images (up to 200MB) into 1080p MP4 videos in 30–60 seconds using cloud GPU processing. - Automatic setup with free token generation for new users; no installation required. - Supports uploading multiple images, adding transitions, text overlays, and background music. - Flexible API workflows for uploading, editing, previewing, and exporting videos. - Built-in management of credits, session state, and error handling. - Designed for fast, shareable video creation for marketers, creators, and small business owners.
元数据
Slug image-to-video-creator-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 Creator Ai 是什么?

convert images into animated video clips with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. marketers, social media creators, small business... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 92 次。

如何安装 Image To Video Creator Ai?

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

Image To Video Creator Ai 是免费的吗?

是的,Image To Video Creator 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 Creator Ai 支持哪些平台?

Image To Video Creator 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 Creator Ai?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

💬 留言讨论