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Stable Diffusion Image Generation

Listed
davila7·vlatest·ai-ml·MIT

Helps with image processing, code generation as part of building AI and machine learning applications workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill stable-diffusion-image-generation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • cli-tool/components/skills/ai-research/multimodal-stable-diffusion/references/troubleshooting.md:31pip install straight from a URL
      pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/multimodal-stable-diffusion/SKILL.md
Scanned
3 files, 1,653 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.