Agent skill

flux-image

Generate images with FLUX models (Black Forest Labs) via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA with custom style adaptation. Capabilities: text-to-image, image-to-image, LoRA fine-tuning, custom styles. Triggers: flux, flux.2, flux dev, flux schnell, flux pro, black forest labs, flux image, flux ai, flux model, flux lora

Stars 247
Forks 46

Install this agent skill to your Project

npx add-skill https://github.com/inference-sh/skills/tree/main/tools/image/flux-image

SKILL.md

FLUX Image Generation

Generate images with FLUX models via inference.sh CLI.

FLUX Image Generation

Quick Start

Requires inference.sh CLI (infsh). Install instructions

bash
infsh login

infsh app run falai/flux-dev-lora --input '{"prompt": "a futuristic city at night"}'

FLUX Models

Model App ID Speed Quality Use Case
FLUX Dev LoRA falai/flux-dev-lora Medium Highest Production, custom styles
FLUX.2 Klein LoRA falai/flux-2-klein-lora Fastest Good Fast iteration, 4B/9B sizes
FLUX Dev (Pruna) pruna/flux-dev Fast High Optimized, speed modes
FLUX Dev LoRA (Pruna) pruna/flux-dev-lora Fast High LoRA with optimization
FLUX Klein 4B (Pruna) pruna/flux-klein-4b Fastest Good Ultra-cheap ($0.0001/img)

Examples

High-Quality Generation

bash
infsh app run falai/flux-dev-lora --input '{
  "prompt": "professional product photo of headphones, studio lighting, white background"
}'

Fast Generation (Klein)

bash
infsh app run falai/flux-2-klein-lora --input '{"prompt": "abstract art, colorful"}'

With LoRA Custom Styles

bash
infsh app sample falai/flux-dev-lora --save input.json

# Edit to add lora_url for custom style
infsh app run falai/flux-dev-lora --input input.json

Image-to-Image

bash
infsh app run falai/flux-dev-lora --input '{
  "prompt": "transform to watercolor style",
  "image_url": "https://your-image.jpg"
}'

For Other Image Tasks

bash
# Image editing with natural language
infsh app run falai/reve --input '{"prompt": "change background to beach"}'

# Upscaling
infsh app run falai/topaz-image-upscaler --input '{"image_url": "https://..."}'

Related Skills

bash
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli

# Pruna P-Image (fast & economical)
npx skills add inference-sh/skills@p-image

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

# Upscaling
npx skills add inference-sh/skills@image-upscaling

Browse all apps: infsh app list

Documentation

Expand your agent's capabilities with these related and highly-rated skills.

inference-sh/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

247 46
Explore
inference-sh/skills

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

247 46
Explore
inference-sh/skills

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

247 46
Explore
inference-sh/skills

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

247 46
Explore
inference-sh/skills

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

247 46
Explore
inference-sh/skills

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

247 46
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results