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veya2ztn

kameo

by veya2ztn · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
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Install in OpenClaw
/install kameo
Description
Generate expressive talking-head videos from static images using Kameo AI. Converts static avatars/portraits into dynamic 5-second videos with realistic facial expressions, lip-sync, and motion. Use when you need to bring static images to life, create AI character videos, demonstrate visual communication, or generate talking avatars from photos.
README (SKILL.md)

Kameo AI - Talking Head Video Generation

Transform static images into expressive talking-head videos with realistic motion and lip-sync.

Quick Start

scripts/generate_video.sh \x3Cimage_path> \x3Cprompt> [output_file]

Example:

scripts/generate_video.sh avatar.jpg "Hello, I am an AI assistant" output.mp4

What It Does

  • Takes a static image (portrait/avatar)
  • Adds realistic facial motion, expressions, and lip-sync based on your prompt
  • Generates 5-second video in 9:16, 16:9, or 1:1 aspect ratio
  • Returns CDN URL instantly (processing ~10-30 seconds)

Authentication

Set your Kameo API key:

export KAMEO_API_KEY="kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs"

Or store in ~/.config/kameo/credentials.json:

{
  "api_key": "kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs"
}

Getting an API Key:

  1. Register at kameo.chat (requires email verification)
  2. Login to get JWT token
  3. Create API key via /api/public/keys endpoint
  4. Or use the registration helper: scripts/register.sh

Prompt Engineering

Basic Prompts (Simple)

Just the dialogue:

"Hello, I'm here to help you today"
"こんにちは、私はガッキーです。愛してます。"

Works but results are generic.

Enhanced Prompts (Recommended)

Format:

[Detailed scene/environment], [person's complete appearance and expression], speaking in [tone], "[DIALOGUE]". [Camera and lighting details].

Example:

In a bright outdoor winter setting with soft, overcast daylight, a young woman with long dark hair wearing a white knitted winter hat with ear flaps and a colorful patterned sweater stands centered in frame. She looks directly into the camera with a warm, genuine smile, her eyes crinkling with joy, speaking in a cheerful, affectionate tone, "こんにちは、私はガッキーです。愛してます。" The scene is captured in a medium close-up shot, framed at eye level. The lighting is natural and diffused from above, creating soft, even illumination.

Why Enhanced Prompts Matter:

  • Better facial expressions matching the scene context
  • More natural motion and gestures
  • Improved lip-sync quality
  • Contextual emotional delivery

Prompt Enhancement Workflow

For best results, use vision AI to analyze the image first:

  1. Feed the image to a vision model (Gemini, GPT-4V, Claude)
  2. Ask it to describe the scene in cinematic detail
  3. Insert your dialogue into the description
  4. Use the enhanced prompt for Kameo

See: scripts/enhance_prompt.sh for automated enhancement.

API Details

Base URL: https://api.kameo.chat/api/public

Generate Video

curl -X POST https://api.kameo.chat/api/public/generate \
  -H "X-API-Key: kam_I3rdx43IymFNbfBw1c0ZbSc7o3aUfQgz8cljZA6T7fs" \
  -H "Content-Type: application/json" \
  -d '{
    "image_base64": "\x3Cbase64_encoded_image>",
    "prompt": "Your detailed prompt here",
    "seconds": 5,
    "aspect_ratio": "9:16"
  }'

Parameters:

  • image_base64 (required): Base64-encoded JPEG/PNG
  • prompt (required): Dialogue and/or scene description
  • seconds (optional): 5 (default) or 10
  • aspect_ratio (optional): "9:16" (default), "16:9", or "1:1"

Response:

{
  "job_id": "uuid",
  "status": "completed",
  "video_url": "https://cdn.kameo.chat/videos/{uuid}.mp4",
  "duration_seconds": 5,
  "processing_time_ms": 15000
}

Check Credits

curl -H "X-API-Key: kam_..." \
  https://api.kameo.chat/api/public/credits

Response:

{
  "permanent_credits": 294,
  "subscription_credits": 0,
  "total_available": 294
}

Pricing

curl https://api.kameo.chat/api/public/pricing

Cost: 3 credits per video

Performance

  • Processing time: 8-35 seconds (depends on aspect ratio and queue)
  • 9:16 (portrait): ~30-35s
  • 16:9 (landscape): ~15-20s
  • 1:1 (square): ~10-15s

Best Practices

  1. Optimize image size - Resize large images before encoding (saves bandwidth, faster upload)

    ffmpeg -i large.jpg -vf scale=720:-1 optimized.jpg
    
  2. Use descriptive prompts - Enhanced prompts = better results

  3. Choose aspect ratio wisely

    • 9:16: Mobile/social media (TikTok, Instagram Stories)
    • 16:9: Desktop/YouTube
    • 1:1: Profile pictures, square posts
  4. Monitor credits - Check balance with scripts/check_credits.sh

Limitations

  • CDN access: Video URLs may have time-limited access or require authentication
  • Download: Videos may return 403 when downloaded via curl (use browser or authenticated session)
  • Rate limits: 10 generations per minute

Troubleshooting

"401 Unauthorized"

  • Check your API key is set correctly
  • Verify key hasn't been revoked

"402 Insufficient credits"

  • Check credit balance: scripts/check_credits.sh
  • Need to add credits at kameo.chat

"Timeout errors"

  • 9:16 videos take longer (~30s)
  • Increase timeout in scripts
  • Retry if server is busy

"403 when downloading video"

  • CDN URLs may be time-limited
  • Try accessing in browser immediately after generation
  • Or save the base64 response if available

Use Cases

  • AI character videos - Bring bot avatars to life
  • Social media content - Dynamic profile videos
  • Demos and presentations - Talking product demos
  • Educational content - Video tutorials with AI presenters
  • Multilingual content - Same avatar speaking different languages
Usage Guidance
Things to consider before installing or running this skill: - Do not run the scripts blindly. Review generate_video.sh / enhance_prompt.sh / register.sh before executing. - The skill requires a KAMEO_API_KEY (env or ~/.config/kameo/credentials.json) though the registry metadata omitted that. Set a dedicated key you control, and be ready to revoke it if needed. - The enhance_prompt.sh script uploads your image to Google Generative Language (Gemini) and requires GOOGLE_API_KEY. If you don't want your images sent to Google (privacy/sensitivity), avoid the enhanced workflow or modify the script to use a local/alternative vision model. - SKILL.md and USAGE.md include a plaintext API key-like string (kam_...); treat that as potentially exposed. Do not assume it is safe — if you paste that key into your environment you may be using someone else's credential. Prefer creating your own key via the service and rotate/revoke keys if you suspect reuse. - register.sh uses SUPABASE_URL and SUPABASE_ANON_KEY placeholders. Do not run it without ensuring those values point to a project you control; the script will transmit email/password and create API keys via that backend. - The scripts require curl, jq, and base64; ensure those binaries are present and review their usage. - If you plan to proceed: run the scripts in an isolated environment (container or throwaway VM), avoid exposing sensitive images/identities, and monitor/limit network egress. If you need more assurance, ask the publisher for a canonical homepage/repository and a statement of which external services are contacted (Gemini vs optional) and why the example API key appears in docs. Confidence is medium: the code matches the declared high-level purpose, but the undisclosed env requirements and embedded key are clear inconsistencies that warrant caution.
Capability Analysis
Type: OpenClaw Skill Name: kameo Version: 1.0.1 The skill is designed to interact with the Kameo AI API for video generation and Google Gemini for prompt enhancement. It sends user-provided images and prompts to these external services, which is explicitly documented and central to its stated purpose. While this involves sending sensitive data (images, API keys, and potentially user credentials during registration) to third-party APIs, there is no evidence of intentional malicious behavior such as unauthorized data exfiltration, backdoors, or prompt injection against the OpenClaw agent. The `register.sh` script contains placeholder API keys, preventing immediate functionality or malicious use, and its intended purpose is legitimate account management.
Capability Assessment
Purpose & Capability
The scripts implement the stated purpose (encode an image, call api.kameo.chat/generate), which is coherent. However the published registry metadata says no required env vars or binaries, while package.json lists required binaries (curl, jq, base64) and the scripts actually expect KAMEO_API_KEY (env or ~/.config/kameo/credentials.json) and optionally GOOGLE_API_KEY for prompt enhancement — these required credentials/env vars are not declared in the skill metadata, which is inconsistent.
Instruction Scope
Runtime instructions & scripts do more than just call Kameo: the enhance_prompt.sh script uploads the user's image to Google Generative Language (Gemini) using GOOGLE_API_KEY, and register.sh interacts with a Supabase instance to create accounts/keys. These external calls mean user images and credentials may be transmitted to services beyond api.kameo.chat; that behaviour is not fully documented in the skill metadata and is potentially privacy-sensitive.
Install Mechanism
There is no install spec (instruction-only), which minimizes arbitrary code downloads. However the package ships multiple shell scripts that will run locally; the lack of an install step is low risk in itself but you still must review and run these scripts manually. package.json lists required binaries (curl, jq, base64) which the runtime scripts actually use — the registry metadata omitted these.
Credentials
The scripts require KAMEO_API_KEY (and will read/write ~/.config/kameo/credentials.json). The prompt-enhancement path requires GOOGLE_API_KEY (used to call Gemini) but the skill metadata does not declare it. Additionally, the SKILL.md/USAGE.md embed a plaintext API key string (kam_...), which may be a leaked or placeholder credential — having a key visible in docs is risky. register.sh relies on SUPABASE_URL and SUPABASE_ANON_KEY placeholders; if these are left pointing to a third-party project they could send user credentials to an external Supabase instance.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It stores its own API key into ~/.config/kameo/credentials.json (chmod 600) which is normal for CLI helpers. It does not attempt to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kameo
  3. After installation, invoke the skill by name or use /kameo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated documentation examples to use a new API key format. - No changes to code or features.
v1.0.0
Kameo 1.0.0 - Initial Release - Generate expressive talking-head videos from static images with realistic facial motion, expressions, and lip-sync. - Supports 5-second video creation in 9:16, 16:9, or 1:1 aspect ratios, returning a CDN URL for instant access. - Includes CLI scripts for video generation, prompt enhancement, registration, and credit checks. - Offers detailed guidance on API usage, prompt engineering, best practices, and troubleshooting. - Use cases: create AI character videos, social media content, demos, educational videos, and multilingual avatars.
Metadata
Slug kameo
Version 1.0.1
License
All-time Installs 2
Active Installs 2
Total Versions 2
Frequently Asked Questions

What is kameo?

Generate expressive talking-head videos from static images using Kameo AI. Converts static avatars/portraits into dynamic 5-second videos with realistic facial expressions, lip-sync, and motion. Use when you need to bring static images to life, create AI character videos, demonstrate visual communication, or generate talking avatars from photos. It is an AI Agent Skill for Claude Code / OpenClaw, with 1928 downloads so far.

How do I install kameo?

Run "/install kameo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is kameo free?

Yes, kameo is completely free (open-source). You can download, install and use it at no cost.

Which platforms does kameo support?

kameo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created kameo?

It is built and maintained by veya2ztn (@veya2ztn); the current version is v1.0.1.

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