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ima-image-ai（ima 图像 ai）

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制；涉及人物、品牌、商品或公开展示素材时，应额外核对授权、真实性和内容合规边界。

总安装

30,846

周安装

1,325

GitHub Stars

公开资料未说明

下载量

10,812

OpenClaw

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：ima-image-ai（ima 图像 ai）
来源仓库：https://github.com/allenfancy-gan/ima-image-ai
安装命令：
openclaw skills install ima-image-ai
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw

openclaw skills install ima-image-ai

简介

ima-image-ai 用于图像生成与转换，支持文本到图像与样式迁移。

基于 IMA Open API，适用于视觉素材创建与编辑。
通过提示词和图片输入触发，支持批量处理。
建议确认输入图片版权及输出格式兼容性。ima-image-ai 属于图像处理类 Skill，可作为该场景下的辅助能力补充。
可结合来源仓库和 README 进一步核验 API 调用限制。

SKILL.md

name: IMA Image Generator
version: 1.0.8
category: file-generation
author: IMA Studio (imastudio.com)
keywords: imastudio, AI image generator, image generator, AI photo generator, product photo, poster generator, thumbnail generator, logo generator, AI art generator, illustration, graphic design, social media image, text to image, image to image
argument-hint: [text prompt or image URL]
description: >
requires
env
runtime
packages
primaryCredential: IMA_API_KEY
credentialNote: IMA_API_KEY is required at runtime. It is sent to api.imastudio.com and, for local image uploads, to imapi.liveme.com.
metadata
openclaw
primaryEnv: IMA_API_KEY
homepage: https://www.imaclaw.ai
requires
bins
env
persistence
readWrite
instructionScope
crossSkillReadOptional

IMA Image AI

When To Use

Use this repository when the user wants an image output:

text-to-image
image-to-image
style transfer
continuity via reference image

This repo is image-only. Do not route video generation, audio generation, or non-image tasks here.

Gateway Contract

New-machine bootstrap entrypoint: python3 scripts/ima_runtime_setup.py
Environment/self-check entrypoint: python3 scripts/ima_runtime_doctor.py
The official CLI entrypoint is python3 scripts/ima_runtime_cli.py ....
Always query the live product list before task creation so attribute_id, credit, model_version, and defaults come from the current catalog.
Return remote HTTPS image URLs; do not download results into local attachments for the user.
Route requests through the image capability so text_to_image and image_to_image are classified before execution.
If --model-id is omitted, the runtime uses the recommended default model for that task type.
Auto-selected defaults are operational fallbacks, not persisted user preferences.

Quick Start

Minimal path:

1. python3 scripts/ima_runtime_setup.py --install 2. export IMA_API_KEY="ima_your_key_here" 3. python3 scripts/ima_runtime_cli.py --task-type text_to_image --prompt "a cinematic mountain sunset" --output-json

Use python3 scripts/ima_runtime_doctor.py --output-json when setup passes but runtime or catalog access still fails.

Operator References

README.md covers first-use paths and canonical entry commands.
references/shared/catalog-aware-selection.md defines the formal live-catalog-aware model-selection contract.
references/operations/troubleshooting.md covers common failure recovery.
capabilities/image/references/parameter-tuning.md covers size, aspect_ratio, and n usage.
capabilities/image/references/scenarios.md covers prompt-only and reference-image examples.

Read Order

references/README.md
references/gateway/entry-and-routing.md
references/gateway/workflow-confirmation.md
references/shared/model-selection-policy.md
references/shared/catalog-aware-selection.md
references/shared/error-policy.md
references/shared/security-and-network.md
references/operations/troubleshooting.md
capabilities/image/CAPABILITY.md
capabilities/image/references/parameter-tuning.md
capabilities/image/references/scenarios.md

Boundary

references/gateway/* covers entry, routing, and clarification seams.
references/shared/* covers rules reused across the runtime.
capabilities/image/* owns image-specific behavior.
_meta.json and clawhub.json are metadata inputs, not the primary narrative docs.

适合场景

文本生成图片

图片风格化

产品图和创意图

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.39%

按下载量换算7,719

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API；具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/allenfancy-gan/ima-image-ai

SKILL.md 来源

clawhub.ai

/allenfancy-gan/ima-image-ai

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