# Animagine XL

> Use this tool when you need to generate high-quality images from text or existing images, or optimize and explain image generation models. The Animagine XL tool solves problems in prompt engineering, model management, and GPU-accelerated image generation, accepting text prompts and model configurations as inputs and producing generated images as outputs. It is ideal for use cases requiring fast and specialized image generation, accessible via MCP protocol or REST API.

Canonical page: https://skillsregistry.net/skills/gabrielalmir-animagine-xl  
JSON: https://api.skillsregistry.net/v1/skills/gabrielalmir-animagine-xl

## Description

FastMCP server for the Animagine XL 4.0 image generation model, providing specialized tools for prompt engineering (validation, optimization, explanation), checkpoint and LoRA model management, and GPU-accelerated image generation with both text-to-image and image-to-image capabilities. Accessible via MCP protocol for AI agents or REST API for web/CLI tools.

## Trust

- **Trust score (0–1):** 0.88
- **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/gabrielalmir-animagine-xl)
- **Repository:** <https://github.com/gabrielalmir/mcp-animaginexl>

## 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": "gabrielalmir-animagine-xl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gabrielalmir-animagine-xl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gabrielalmir-animagine-xl/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