NVIDIA FLUX Image Generation for Openclaw

A high-performance AI tool for generating and editing images using NVIDIA FLUX models via simple CLI commands.

ty-teo
v1.0.0
Feb 3, 2026
3
2.8k
4

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install nvidia-image-gen

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install nvidia-image-gen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is NVIDIA FLUX Image Generation?

This Openclaw Skills asset enables developers and creators to harness the power of NVIDIA FLUX models for sophisticated image tasks. Whether you need high-fidelity artwork with the dev model, rapid prototyping with the schnell model, or precise image manipulation via the kontext model, this skill provides a streamlined interface for AI-driven visual creation. It integrates into automated workflows, allowing for programmatic image generation and iterative editing through intuitive text prompts.

By utilizing these models, users can transition from simple text descriptions to complex visual assets in seconds. The flexibility of this tool makes it an essential component for any developer looking to expand their capabilities within the ecosystem of Openclaw Skills.

NVIDIA FLUX Image Generation Use Cases

  • Creating high-resolution marketing assets or illustrations from text descriptions using the dev model.
  • Rapidly generating concept art and prototypes for game development or UI/UX design with the schnell model.
  • Editing existing photographs to add elements, change backgrounds, or modify lighting using natural language instructions.
  • Batch processing image generations with specific aspect ratios for different social media platforms.
  • Incorporating automated AI-generated visuals into creative pipelines and Openclaw Skills workflows.

How NVIDIA FLUX Image Generation Works

  1. The user provides a text prompt and optional parameters such as aspect ratio or specific model choice to the generation script.
  2. The system identifies the appropriate NVIDIA FLUX model based on the request, such as using kontext for image editing or schnell for fast generation.
  3. For text-to-image requests, the system processes the prompt to synthesize a new visual asset from scratch.
  4. For image editing requests, the system utilizes the input image and instruction to perform precise modifications while maintaining the original context.
  5. The generated or modified image is saved to the local file system, and a media reference is returned for immediate use.

NVIDIA FLUX Image Generation Setup

To get started with this skill, ensure you have your API key ready and follow these steps:

# Set your NVIDIA API Key
export NVIDIA_API_KEY="your_api_key_here"

# Generate your first image
python scripts/generate.py "A futuristic cityscape at night"

# Edit an existing image
python scripts/generate.py "Add a flying car" -i city.png -o edited_city.png

NVIDIA FLUX Image Generation Data Schema & Taxonomy

The skill manages image data and parameters through a structured CLI interface. Below is the configuration schema:

Parameter Description Default
prompt The text description or edit instruction (required)
output Path to save the generated image output.png
model Model selection (dev, schnell, kontext) auto
aspect-ratio Preset dimensions (1:1, 16:9, 9:16, 4:3, 3:4) 1:1
seed Random seed for reproducible results 0

All successfully generated images are returned with a MEDIA:/path/to/image.png prefix for easy identification within the Openclaw Skills environment.

NVIDIA FLUX Image Generation Advanced Features

  • Multi-model support allowing users to choose between high-fidelity (dev) and high-speed (schnell) generation paths.
  • Advanced context-aware editing using the specialized kontext model for seamless image modifications.
  • Comprehensive aspect ratio presets tailored for various digital formats, including 16:9 cinematic and 9:16 portrait modes.
  • Precision control over generation steps and guidance scales (CFG) for fine-tuning visual output.
  • Reproducible generation capabilities through seed management, ensuring consistent results across different Openclaw Skills sessions.

SKILL.md


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