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Kling Ai Image To Video Free

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install kling-ai-image-to-video-free
功能描述
Turn a single product photo or landscape image into 1080p animated video clips just by typing what you need. Whether it's converting still photos into short...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert a single product photo or landscape image into a 1080p MP4"
  • "animate this image into a smooth 5-second video clip"
  • "converting still photos into short animated videos for TikTok creators"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Kling AI Image to Video Free — Convert Images Into Video Clips

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

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

Tip: high-contrast images with clear subjects animate more smoothly than busy backgrounds.

Matching Input to Actions

User prompts referencing kling ai image to video free, 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.

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

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: kling-ai-image-to-video-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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.

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

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.

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 smooth 5-second video clip" → 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 smooth 5-second video clip" — concrete instructions get better results.

Max file size is 20MB. Stick to JPG, PNG, WEBP, HEIC for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

安全使用建议
Treat this result as inconclusive: do not rely on it for installation approval until metadata.json and the artifact directory can be inspected successfully.
能力评估
Purpose & Capability
Artifact purpose and capability could not be assessed because local command execution failed before metadata.json or artifact contents could be read.
Instruction Scope
Instruction scope could not be assessed from artifacts due the same workspace access failure.
Install Mechanism
Install mechanism was not assessed because install specs and manifest contents were unavailable.
Credentials
Environment access proportionality could not be evaluated without the artifact files.
Persistence & Privilege
No artifact-backed persistence or privilege behavior was identified, but the relevant files were not inspectable.
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 kling-ai-image-to-video-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /kling-ai-image-to-video-free 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 Kling AI Image to Video Free. - Instantly convert single product or landscape images into 1080p animated video clips with simple, descriptive commands. - Automatic backend connection and session setup; 100 free credits available for new users. - Upload, animate, and export workflows optimized for quick social content — most jobs complete in 30–60 seconds. - Supports batch uploads, simple timeline preview, and multiple output formats (mp4, mov, avi, webm, gif, jpg, png, mp3, wav, m4a, aac). - Clear error handling and status updates throughout upload, edit, and export processes.
元数据
Slug kling-ai-image-to-video-free
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

Kling Ai Image To Video Free 是什么?

Turn a single product photo or landscape image into 1080p animated video clips just by typing what you need. Whether it's converting still photos into short... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 108 次。

如何安装 Kling Ai Image To Video Free?

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

Kling Ai Image To Video Free 是免费的吗?

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

Kling Ai Image To Video Free 支持哪些平台?

Kling Ai Image To Video Free 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 Kling Ai Image To Video Free?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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