# Stable Diffusion NCNN

> Use this tool when you need to generate images from text prompts without relying on GPU acceleration, solving offline image creation and edge computing challenges. It accepts text inputs and configurable parameters, producing PNG images as output. Ideal for environments with limited GPU access, it enables local image generation for developers and applications requiring autonomy from cloud services.

Canonical page: https://skillsregistry.net/skills/chentyjpm-stable-diffusion-ncnn  
JSON: https://api.skillsregistry.net/v1/skills/chentyjpm-stable-diffusion-ncnn

## Description

This server provides CPU-based Stable Diffusion image generation capabilities through the ncnn neural network inference framework, enabling offline text-to-image generation without GPU requirements. Built in C++ as a stdio-based MCP server, it exposes a text-to-image tool that accepts prompts and generates PNG images with configurable parameters including dimensions, inference steps, seed control, and multiple output formats. The implementation leverages ncnn's lightweight inference engine to run stable diffusion models entirely on CPU, making it valuable for environments where GPU access is limited or unavailable, edge computing scenarios, and developers who need local image generation without cloud dependencies.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chentyjpm-stable-diffusion-ncnn)
- **Repository:** <https://github.com/chentyjpm/ncnn_llm-mcp-sdimggen>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chentyjpm-stable-diffusion-ncnn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chentyjpm-stable-diffusion-ncnn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chentyjpm-stable-diffusion-ncnn/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt