Overview
- Skill Key
- hitpawdev/hitpaw-image-enhancer
- Author
- Nova (HitPaw-Official)
- Source Repo
- openclaw/skills
- Version
- 1.0.1
- Source Path
- skills/hitpawdev/hitpaw-image-enhancer
- Latest Commit SHA
- 1deec19413e42579b737e2e45f82743dc4089cd9
Enhance images and videos using HitPaw's AI enhancement API
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 hitpaw-image-enhancer 技能。 若已安装,则直接安装 hitpaw-image-enhancer 技能。
# HitPaw Image & Video Enhancer Skill A powerful OpenClaw skill that integrates HitPaw's state-of-the-art AI enhancement technology for both **images** and **videos**. Enhance, upscale, restore, and denoise with multiple AI models. --- ## 🎯 Features Based on the official [HitPaw API Documentation](https://developer.hitpaw.com/image/Introduction), this skill leverages industrial-grade AI models developed in-house by HitPaw's expert R&D team. ### Core Strengths - **Quality**: Industry-defining quality fit for professional use cases, from commercial photography to archival restoration - **Fidelity**: Preserves the original details and identities in the source images, ensuring the output remains true to the input - **Efficiency**: Optimized for low latency and high throughput, capable of processing distinct enhancement tasks at scale --- ## 📸 Image Enhancement According to the [Image API Introduction](https://developer.hitpaw.com/image/Introduction), our image processing services offer world-class capabilities designed to handle a wide variety of restoration scenarios: ### Key Capabilities - **Upscale**: Output high-resolution images from low-resolution input files using standard or high-fidelity models - **Face Recovery**: Ensure high-quality facial details, offering both "Clear" (soft/beauty) and "Natural" (textured/realistic) restoration options - **Sharpen & Denoise**: Bring images into focus by removing blur and sensor noise while preserving the original structure - **Generative Restoration**: Leverage Diffusion technology to reconstruct details in severely degraded portraits or general images ### Model Classes The Image API offers two classes of AI models to suit different needs: - **Standard Models**: Fast and efficient, prioritizing preserving original fidelity and details. Recommended for most professional and general restoration use cases - **Generative Models**: Utilize Stable Diffusion to produce the highest quality outputs, capable of "imagi...
# HitPaw Image & Video Enhancer [](https://clawhub.com/skill/hitpaw-image-enhancer) [](https://github.com/HitPaw-Official/openclaw-skill-hitpaw-enhancer) [](https://clawhub.com/skill/hitpaw-image-enhancer) > OpenClaw skill integrating HitPaw's AI-powered image and video enhancement API ## 🎯 Features This skill brings HitPaw's professional-grade AI enhancement capabilities to OpenClaw, supporting 16 specialized models for images and videos. ### Core Capabilities - **Image Enhancement**: 2x/4x upscaling, face recovery, denoise, generative restoration - **Video Enhancement**: Upscale to 4K, portrait restoration, temporal stability - **Async Processing**: Polling-based job tracking with real-time status - **Coin Tracking**: Monitor API consumption per job ## 📸 Screenshots <!-- Add your screenshots here by placing images in the `images/` folder --> ### Image Enhancement Examples | Before | After | |--------|-------| |  |  | ### Video Enhancement Examples | Original | Enhanced | |----------|----------| |  |  | > **Note**: Screenshots above are placeholders. Replace with actual before/after comparisons from HitPaw API results. ## 🚀 Quick Start ### Installation ```bash clawhub install hitpaw-image-enhancer ``` ### Configuration Set your HitPaw API key: ```bash export HITPAW_API_KEY="your_api_key_here" ``` Get your API key at: https://playground.hitpaw.com/ ### Usage ```bash # Enhance an image enhance-image -u photo.jpg -m general_2x -o output.jpg # Enhance a video enhance-video -u input.mp4 -m general_restore_2x -r 1920x1080 -o out...
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