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Pixar Portrait Generator
by
omactiengartelle
· GitHub ↗
· v1.0.0
· MIT-0
82
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install pixar-portrait-generator
Description
selfies and portraits into Pixar-style 3D animated characters with cinematic CGI rendering. Generate Disney Pixar movie-quality avatars, 3D cartoon portraits...
Usage Guidance
This skill sends your prompt (and any reference UUID you provide) and the token you pass to https://api.talesofai.com (advertised as the Neta API). Before using: (1) confirm you trust that third party and review their privacy/retention and training policies (images and prompts may be stored or used by the service); (2) avoid sending sensitive or private photos if you don't want them shared; (3) use a scoped or disposable token if possible; and (4) ensure your Node runtime supports global fetch (Node 18+ or equivalent). Otherwise the skill appears internally consistent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: pixar-portrait-generator
Version: 1.0.0
The skill is a straightforward CLI wrapper for the Neta AI image generation service. The code in `pixarportraitgenerator.js` correctly implements the stated functionality by sending user-provided prompts and API tokens to `api.talesofai.com` and polling for the resulting image URL. There is no evidence of data exfiltration, unauthorized file access, or malicious command execution.
Capability Assessment
Purpose & Capability
Name and description claim Pixar-style image generation and the code implements exactly that by calling api.talesofai.com endpoints with a prompt, size, optional reference UUID, and a user-supplied token — all coherent with the stated purpose.
Instruction Scope
SKILL.md and README instruct running the bundled Node script with a --token flag. The runtime instructions and the script only perform network calls to the image API and do not read local config, secrets, or unrelated files.
Install Mechanism
No install spec is provided (instruction-only with bundled script). There are no downloads or extract steps; the repository files are self-contained and the script runs locally.
Credentials
No environment variables or unrelated credentials are requested. The only secret required is the Neta API token passed explicitly via --token, which is appropriate for a third‑party image API client.
Persistence & Privilege
The skill is not always-enabled and does not request persistent or elevated agent/system privileges. It does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pixar-portrait-generator - After installation, invoke the skill by name or use
/pixar-portrait-generator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Pixar Portrait Generator.
- Transforms selfies and portraits into Pixar-style 3D animated characters.
- Generates movie-quality avatars, 3D cartoon portraits, and animated character art.
- Supports options for image size and reference style inheritance.
- Requires a Neta API token for image generation.
- Easy installation and command-line usage with Bash tools.
Metadata
Frequently Asked Questions
What is Pixar Portrait Generator?
selfies and portraits into Pixar-style 3D animated characters with cinematic CGI rendering. Generate Disney Pixar movie-quality avatars, 3D cartoon portraits... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Pixar Portrait Generator?
Run "/install pixar-portrait-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pixar Portrait Generator free?
Yes, Pixar Portrait Generator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pixar Portrait Generator support?
Pixar Portrait Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pixar Portrait Generator?
It is built and maintained by omactiengartelle (@omactiengartelle); the current version is v1.0.0.
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