hitpaw-image-enhancer
Enhance images and videos using HitPaw's AI enhancement API
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/hitpawdev/hitpaw-image-enhancerHitPaw 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, 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, 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 "imagining" missing details. Ideal for extremely low-quality inputs where traditional upscaling fails
Standard Models
As detailed in the Available Models documentation:
| Model | Multiplier | Description | Best For |
|---|---|---|---|
general_2x / general_4x | 2x / 4x | General Enhance Model | General photos, landscapes |
face_2x / face_4x | 2x / 4x | Portrait Model (Clear) | Soft/beauty style portrait enhancement |
face_v2_2x / face_v2_4x | 2x / 4x | Portrait Model (Natural) | Natural/realistic portrait enhancement |
high_fidelity_2x / high_fidelity_4x | 2x / 4x | High Fidelity Model | Professional photography, conservatively upscaling high-quality sources |
sharpen_denoise_1x | 1x | Sharp Denoise Model | Aggressive denoising with sharpening |
detail_denoise_1x | 1x | Detail Denoise Model | Gentle denoising with texture preservation |
Generative Models
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-hitpawdev-hitpaw-image-enhancer": {
"enabled": true,
"auto_update": true
}
}
}