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Professional Free Ai Image

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install professional-free-ai-image
功能描述
generate text prompts or images into professional AI images with this skill. Works with JPG, PNG, WEBP, MP4 files up to 200MB. marketers, freelancers, small...
使用说明 (SKILL.md)

Getting Started

Share your text prompts or images and I'll get started on AI image generation. Or just tell me what you're thinking.

Try saying:

  • "generate my text prompts or images"
  • "export 1080p MP4"
  • "generate a professional headshot background or"

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.

Professional Free AI Image — Generate AI Images at No Cost

This tool takes your text prompts or images and runs AI image generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a product photo description or rough sketch and want to generate a professional headshot background or product banner image for free — the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

Tip: detailed text prompts produce sharper, more professional results than vague descriptions.

Matching Input to Actions

User prompts referencing professional free ai image, 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 professional-free-ai-image
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 Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Common Workflows

Quick edit: Upload → "generate a professional headshot background or product banner image for free" → 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 "generate a professional headshot background or product banner image for free" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, WEBP, MP4 for the smoothest experience.

Export as MP4 for widest compatibility when turning image slideshows into video.

安全使用建议
This skill looks coherent for cloud AI image/video generation. Before installing, be comfortable with sending your prompts and media to mega-api-prod.nemovideo.ai and with the agent using or creating a NEMO_TOKEN for that service. Avoid sensitive personal or business media unless you trust the provider's handling of it.
功能分析
Type: OpenClaw Skill Name: professional-free-ai-image Version: 1.0.0 The skill is a legitimate integration for the NemoVideo AI service, facilitating image and video generation via the `mega-api-prod.nemovideo.ai` backend. The SKILL.md file provides clear instructions for an automated anonymous authentication flow, session management, and the handling of Server-Sent Events (SSE) to process media tasks. It includes standard error handling, attribution headers, and does not exhibit any signs of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The skill's cloud image/video generation behavior matches its stated purpose. SKILL.md says it connects to a cloud backend and that users upload or describe media for processing.
Instruction Scope
The instructions allow backend responses to be translated into API actions such as export or state queries. This appears intended for the service workflow, but users should understand that backend messages can drive in-scope actions.
Install Mechanism
There is no install spec or local code, but first-use setup contacts the NemoVideo API and uses or generates a NEMO_TOKEN.
Credentials
The environment access is mostly proportional: user-provided prompts and media are sent to a cloud renderer. No evidence shows broad local file access or local command execution.
Persistence & Privilege
The skill keeps a session_id for operations and uses a token that may expire after 7 days. No evidence shows hidden background persistence or continued local execution.
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 professional-free-ai-image
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /professional-free-ai-image 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 Professional Free AI Image skill. - Generate professional-quality AI images from text prompts or uploaded images for free. - Supports JPG, PNG, WEBP, and MP4 files up to 200MB; exports 1080p MP4 files. - Fast cloud processing using GPUs; typical task completes in 20-40 seconds. - Includes session management, automatic token generation, and clear user feedback. - Designed for marketers, freelancers, and small businesses needing quick, no-cost AI image generation.
元数据
Slug professional-free-ai-image
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

Professional Free Ai Image 是什么?

generate text prompts or images into professional AI images with this skill. Works with JPG, PNG, WEBP, MP4 files up to 200MB. marketers, freelancers, small... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 32 次。

如何安装 Professional Free Ai Image?

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

Professional Free Ai Image 是免费的吗?

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

Professional Free Ai Image 支持哪些平台?

Professional Free Ai Image 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 Professional Free Ai Image?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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