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
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add 101-skills/skills --skill "flux-image" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/flux-image/SKILL.md---
name: flux-image
description: "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"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# FLUX Image Generation
Generate images with FLUX models via [inference.sh](https://inference.sh) CLI.

## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
belt 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
belt app run falai/flux-dev-lora --input '{
"prompt": "professional product photo of headphones, studio lighting, white background"
}'
```
### Fast Generation (Klein)
```bash
belt app run falai/flux-2-klein-lora --input '{"prompt": "abstract art, colorful"}'
```
### With LoRA Custom Styles
```bash
belt app sample falai/flux-dev-lora --save input.json
# Edit to add lora_url for custom style
belt app run falai/flux-dev-lora --input input.json
```
### Image-to-Image
```bash
belt 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
belt app run falai/reve --input '{"prompt": "change background to beach"}'
# Upscaling
belt app run falai/topaz-image-upscaler --input '{"image_url": "https://..."}'
```
## Related Skills
```bash
# Full platform skill (all 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: `belt app store`
## Documentation
- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Image Generation Example](https://inference.sh/docs/examples/image-generation) - Complete image generation guide
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).