Stable Diffusion Image Generation
Helps with image processing, code generation as part of building AI and machine learning applications workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add stable-diffusion-image-generation npx -- -y @trustedskills/stable-diffusion-image-generation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"stable-diffusion-image-generation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/stable-diffusion-image-generation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to generate high-quality images from textual descriptions using the Stable Diffusion model. It supports detailed prompts, allowing for customization of image style, subject, and context.
When to use it
- To create visual content based on written ideas or concepts.
- For generating illustrations, product mockups, or concept art quickly.
- In creative projects where manual design would be time-consuming.
- When working with AI agents that need to produce visual outputs for reports or presentations.
Key capabilities
- Image generation from text prompts
- Customization of image style and detail level
- Support for various artistic styles and themes
Example prompts
- "Generate a futuristic cityscape at sunset with flying cars."
- "Create an abstract painting in the style of Van Gogh."
- "Design a logo for a tech startup with a minimalist look."
Tips & gotchas
- Ensure your AI agent has access to sufficient computational resources, as image generation can be resource-intensive.
- Be specific in your prompts to achieve more accurate and relevant outputs.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.