A high-performance AI image upscaling skill that transforms low-resolution images into crisp 4K or 8K assets via a secure API pipeline.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hiresolutionphotos-upscaler
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hiresolutionphotos-upscaler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is HiResolutionPhotos Upscaler?
The HiResolutionPhotos upscaler is a specialized tool designed for autonomous agents to perform professional-grade ai image upscaling. By leveraging deep-learning models and dedicated hardware, it converts standard resolution files into high-fidelity visual assets without requiring a complex API key setup. This skill is a vital addition to the Openclaw Skills library for developers needing reliable, high-resolution output.
It handles the heavy lifting of image processing server-side, ensuring that local resources remain unburdened. The skill is specifically optimized for OpenClaw Agents, prioritizing a secure retrieval workflow that prevents system crashes by managing large file outputs through private web-based delivery rather than raw binary transfers.
HiResolutionPhotos Upscaler Use Cases
- Scaling 512px sketches or low-res thumbnails into production-ready 4K renders.
- Automating an api image upscaling pipeline for batch processing visual content.
- Enhancing legacy JPG or WebP photos for high-quality print or web display using Openclaw Skills.
- Providing users with sharp, upscaled versions of AI-generated art directly within a chat interface.
How HiResolutionPhotos Upscaler Works
- The agent submits a local image file (PNG, JPG, or WebP) to the upscale endpoint using multipart/form-data.
- The server initializes a deep-learning processing job and returns a unique job ID.
- The agent enters a polling loop, checking the job status with an agent-specific flag to ensure a safe retrieval link is generated.
- Once processing is complete, the API provides a result_url.
- The agent delivers the secure retrieval link to the user, allowing for a safe manual download of the large 4K/8K file.
HiResolutionPhotos Upscaler Setup
To use this skill within your environment, ensure you have curl installed. No API keys are required to begin using these Openclaw Skills.
# Verify your environment has curl installed
which curl
# The skill uses the following base endpoint
# https://hiresolutionphotos.com/api/upscalen```
HiResolutionPhotos Upscaler Data Schema & Taxonomy
The skill manages data through a request-response lifecycle focused on job tracking. Below is the metadata and schema structure:
| Attribute | Type | Description |
|---|---|---|
image |
File | The physical source file (Max 10MB) |
scale |
Integer | Upscale factor of 2 or 4 |
id |
String | Unique job identifier for status tracking |
status |
String | Current state (IN_PROGRESS, COMPLETED) |
result_url |
String | Secure HTML retrieval page for the user |
HiResolutionPhotos Upscaler Advanced Features
- Support for 4K and 8K upscale enhancements natively utilizing dedicated GPU hardware.
- Automated polling logic designed to handle asynchronous AI processing times.
- Built-in crash protection for agents by utilizing a result_url workflow instead of raw binary handling.
- Agent-optimized polling headers to force the generation of secure, private retrieval webpages.
SKILL.md
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