Agent skill
image-upscaling
Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale
Install this agent skill to your Project
npx add-skill https://github.com/inference-sh/skills/tree/main/tools/image/image-upscaling
SKILL.md
Image Upscaling
Upscale and enhance images via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
infsh). Install instructions
infsh login
infsh app run infsh/real-esrgan --input '{"image_url": "https://your-image.jpg"}'
Available Upscalers
| Model | App ID | Best For |
|---|---|---|
| Topaz Image Upscaler | falai/topaz-image-upscaler |
Professional quality, any image |
Examples
Upscale Any Image
infsh app run falai/topaz-image-upscaler --input '{"image_url": "https://low-res-image.jpg"}'
Workflow: Generate and Upscale
# 1. Generate image with FLUX Klein (fast)
infsh app run falai/flux-2-klein-lora --input '{"prompt": "landscape painting"}' > image.json
# 2. Upscale the result
infsh app run falai/topaz-image-upscaler --input '{"image_url": "<url-from-step-1>"}'
Use Cases
- AI Art: Upscale generated images for print
- Old Photos: Restore and enhance resolution
- Web Images: Prepare for high-DPI displays
- Print: Increase resolution for large prints
- Thumbnails: Create high-res versions
Related Skills
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli
# Image generation (generate then upscale)
npx skills add inference-sh/skills@ai-image-generation
# FLUX models
npx skills add inference-sh/skills@flux-image
# Background removal
npx skills add inference-sh/skills@background-removal
Browse all image apps: infsh app list --category image
Documentation
- Running Apps - How to run apps via CLI
- Image Generation Example - Complete image workflow guide
- Apps Overview - Understanding the app ecosystem
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ui
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop
chat-ui
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks
tools-ui
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending
widgets-ui
Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui
web-search
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Didn't find tool you were looking for?