# Local Image Gen

> Local Image Gen — nurmukhamedkz-imagemcp. Use this tool when you need to generate high-quality images locally on a Windows GPU, leveraging FLUX.2 and Hugging Face diffusers. It solves problems related to remote image generation, providing a secure and efficient solution for applications like Claude Cowork. The tool accepts input parameters and outputs generated images, ideal for use cases requiring fast and localized image processing over Tailscale.

Canonical page: https://skillsregistry.net/skills/nurmukhamedkz-imagemcp  
JSON: https://api.skillsregistry.net/v1/skills/nurmukhamedkz-imagemcp

## Description

MCP server for local image generation using FLUX.2 via Hugging Face diffusers, designed to run on a Windows GPU and be called remotely by Claude Cowork over Tailscale.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1qnpxw8u7)
- **Repository:** <https://github.com/NurmukhamedKZ/ImageMCP>

## 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": "nurmukhamedkz-imagemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nurmukhamedkz-imagemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nurmukhamedkz-imagemcp/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