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
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install inferencesh-skills-flux-image
Repository
Skill path: skills/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
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Designer, Data / AI.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: inferencesh.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install flux-image into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/inferencesh/skills before adding flux-image to shared team environments
- Use flux-image for design workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw 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(infsh *)
---
# FLUX Image Generation
Generate images with FLUX models via [inference.sh](https://inference.sh) CLI.
## Quick Start
```bash
curl -fsSL https://cli.inference.sh | sh && 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 |
## 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 inferencesh/skills@inference-sh
# All image generation models
npx skills add inferencesh/skills@ai-image-generation
# Upscaling
npx skills add inferencesh/skills@image-upscaling
```
Browse all apps: `infsh app list`
## 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