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Agnes Imagegen

Community
ziho7
agnes-imagegen

Generate images using the Agnes Image 2.0 Flash model API. Use when the user asks to generate images via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes image, agnes 图片, image gen, generate image, text to image, img2img, image editing, multi-image composition, 生图, 文生图, 图生图.

Overview

Publisherziho7
Repositoryagnes-skills
Skill nameagnes-imagegen
Stars
71
Forks
14
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ziho7 on GitHub. Read the source before you install it.

Installation

Install the Agnes Imagegen AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ziho7/agnes-skills/tree/main/agnes-imagegen
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ziho7/agnes-skills.git /tmp/agnes-skills
mkdir -p .claude/skills
cp -r /tmp/agnes-skills/agnes-imagegen .claude/skills/agnes-imagegen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agnes Imagegen in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agnes Imagegen on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agnes Imagegen is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agnes Image Generation

Generate images using the Agnes Image 2.0 Flash API.

Prerequisites

  • An Agnes AI API key from API Platform
  • Base URL: https://apihub.agnes-ai.com/v1

API Details

Endpoint: POST https://apihub.agnes-ai.com/v1/images/generations

Headers:

  • Authorization: Bearer YOUR_API_KEY
  • Content-Type: application/json

Model Name: agnes-image-2.0-flash

Request Parameters

ParameterTypeRequiredDescription
modelstringYesFixed as agnes-image-2.0-flash
promptstringYesText prompt describing the target image or editing instruction
sizestringYesOutput image size: 1024x768, 1024x1024, or 768x1024
imagestring[]Image-to-Image onlyInput image array. Supports public URLs or Data URI Base64
return_base64booleanNoReturn Base64 output for text-to-image
extra_body.response_formatstringNoOutput format: url or b64_json

Workflows

1. Text-to-Image (URL output)

bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-image-2.0-flash",
    "prompt": "A clean product photo of a glass cube on a white studio background, soft shadows, high detail",
    "size": "1024x768",
    "extra_body": { "response_format": "url" }
  }'

Result: data[0].url

2. Text-to-Image (Base64 output)

bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-image-2.0-flash",
    "prompt": "A clean product photo of a glass cube on a white studio background, soft shadows, high detail",
    "size": "1024x768",
    "return_base64": true
  }'

Result: data[0].b64_json

3. Image-to-Image (URL input, URL output)

bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-image-2.0-flash",
    "prompt": "Transform this image into a cinematic cyberpunk style while preserving the main subject and composition",
    "size": "1024x768",
    "extra_body": {
      "image": ["https://example.com/input-image.png"],
      "response_format": "url"
    }
  }'

4. Multi-Image Composition

bash
curl -X POST https://apihub.agnes-ai.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agnes-image-2.0-flash",
    "prompt": "Combine the two characters into an intense fantasy battle scene, dynamic lighting, detailed background, cinematic composition",
    "size": "1024x768",
    "extra_body": {
      "image": [
        "https://example.com/character-1.png",
        "https://example.com/character-2.png"
      ],
      "response_format": "url"
    }
  }'

Response Format

URL output:

json
{
  "created": 1780000000,
  "data": [
    {
      "url": "https://storage.googleapis.com/agnes-aigc/xxx.png",
      "b64_json": null,
      "revised_prompt": null
    }
  ]
}

Base64 output:

json
{
  "created": 1780000000,
  "data": [
    {
      "url": null,
      "b64_json": "iVBORw0KGgoAAAANSUhEUgAA...",
      "revised_prompt": null
    }
  ]
}

Important Notes

  • Text-to-image does not require the image parameter
  • Image-to-image requires image array (public URLs or Data URI Base64)
  • Image-to-image does NOT require tags: ["img2img"]
  • Do NOT place response_format at the top level — use extra_body.response_format
  • Client timeout recommended: 60s–360s
  • Pricing: Currently free during beta

Prompt Best Practices

Text-to-Image structure: [Main subject] + [Scene/background] + [Style] + [Lighting] + [Composition] + [Quality requirements]

Example:

A young explorer standing in an ancient temple, cinematic fantasy style, warm dramatic lighting, wide-angle composition, ultra detailed, high quality

Image-to-Image structure: [Editing instruction] + [Elements to preserve] + [Target style/scene] + [Lighting] + [Composition] + [Quality requirements]

Example:

Change the background into a cinematic fantasy temple while preserving the person's face, outfit, and pose, warm dramatic lighting, wide-angle composition, ultra detailed, high quality

Frequently asked questions

What does the Agnes Imagegen AI skill do?

Generate images using the Agnes Image 2.0 Flash model API. Use when the user asks to generate images via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes image, agnes 图片, image gen, generate image, text to image, img2img, image editing, multi-image composition, 生图, 文生图, 图生图.

Why use Agnes Imagegen on TypingMind?

Because you install it once and use it with any model. Agnes Imagegen is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agnes Imagegen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ziho7/agnes-skills/tree/main/agnes-imagegen. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agnes Imagegen?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agnes Imagegen?

As many as you like. As long as a model supports skills, you can use Agnes Imagegen with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agnes Imagegen AI skill free?

It is published on GitHub by ziho7. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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