1.6k★by ty-teo
nvidia-image-gen – OpenClaw Skill
nvidia-image-gen is an OpenClaw Skills integration for coding workflows. Generate and edit images using NVIDIA FLUX models. Use when user asks to generate images, create pictures, edit photos, or modify existing images with AI. Supports text-to-image generation and image editing with text prompts.
Skill Snapshot
| name | nvidia-image-gen |
| description | Generate and edit images using NVIDIA FLUX models. Use when user asks to generate images, create pictures, edit photos, or modify existing images with AI. Supports text-to-image generation and image editing with text prompts. OpenClaw Skills integration. |
| owner | ty-teo |
| repository | ty-teo/nvidia-image-gen |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @ty-teo/nvidia-image-gen |
| last updated | Feb 7, 2026 |
Maintainer

name: nvidia-image-gen version: 1.0.0 description: Generate and edit images using NVIDIA FLUX models. Use when user asks to generate images, create pictures, edit photos, or modify existing images with AI. Supports text-to-image generation and image editing with text prompts.
NVIDIA Image Generation
Generate and edit images using NVIDIA's FLUX models.
Models
| Model | Use Case | Speed | Quality |
|---|---|---|---|
dev | High-quality text-to-image | Normal | Best |
schnell | Fast text-to-image | Fast | Good |
kontext | Image editing | Normal | Best |
Quick Start
# Generate an image
python scripts/generate.py "A cute cat in space"
# Edit an existing image
python scripts/generate.py "Add sunglasses" -i photo.jpg -o edited.png
Parameters
Text-to-Image (dev/schnell)
| Parameter | Short | Default | Description |
|---|---|---|---|
prompt | (required) | Text description | |
-o, --output | output.png | Output file path | |
--width | 1024 | Output width in pixels | |
--height | 1024 | Output height in pixels | |
--aspect-ratio | -ar | 1:1 | Aspect ratio preset |
--steps | -s | 30 | Diffusion steps |
--seed | 0 | Random seed (0=random) | |
--model | -m | auto | Model selection |
Image Editing (kontext)
| Parameter | Short | Default | Description |
|---|---|---|---|
prompt | (required) | Edit instruction | |
-i, --input | (required) | Input image path | |
-o, --output | output.png | Output file path | |
--steps | -s | 30 | Diffusion steps |
--cfg | 3.5 | Guidance scale | |
--seed | 0 | Random seed |
Supported Aspect Ratios
| Ratio | Resolution |
|---|---|
| 1:1 | 1024×1024 |
| 16:9 | 1344×768 |
| 9:16 | 768×1344 |
| 4:3 | 1216×832 |
| 3:4 | 832×1216 |
Examples
Basic Generation
python scripts/generate.py "A mountain landscape at sunset"
Wide Format (16:9)
python scripts/generate.py "A panoramic beach view" -ar 16:9
Portrait Mode (9:16)
python scripts/generate.py "A professional headshot" -ar 9:16
Custom Size
python scripts/generate.py "A banner image" --width 1344 --height 768
Fast Generation
python scripts/generate.py "Quick sketch of a robot" -m schnell
Edit an Image
python scripts/generate.py "Make the background a sunset" -i input.jpg -o output.png
Reproducible Results
python scripts/generate.py "A robot" --seed 12345
Output
The script outputs MEDIA:/path/to/image.png which can be sent directly to chat.
API Key
The API key is embedded in the script. To use a different key, set the NVIDIA_API_KEY environment variable.
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install nvidia-image-gen?
Run openclaw add @ty-teo/nvidia-image-gen in your terminal. This installs nvidia-image-gen into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/ty-teo/nvidia-image-gen. Review commits and README documentation before installing.
