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Flux Image

作者 Germey · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install acedatacloud-flux-image
功能描述
Generate and edit images with Flux (Black Forest Labs) via AceDataCloud API. Use when creating images from text prompts, editing existing images with text in...
使用说明 (SKILL.md)

Flux Image Generation

Generate and edit images through AceDataCloud's Flux API.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/flux/images \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "a cat wearing a space helmet, photorealistic", "model": "flux-dev", "wait": true}'

Models

Model Quality Speed Sizes Best For
flux-dev Good Fast 256–1440px Quick generation (default)
flux-pro High Medium 256–1440px Production work
flux-pro-1.1 Higher Medium 256–1440px Better prompt following
flux-pro-1.1-ultra Highest Slow Aspect ratios Maximum quality
flux-kontext-pro High Medium Aspect ratios Image editing
flux-kontext-max Highest Slow Aspect ratios Complex editing

Generate Images

POST /flux/images
{
  "prompt": "a minimalist logo of a mountain",
  "action": "generate",
  "model": "flux-pro-1.1",
  "size": "1024x1024",
  "count": 1
}

Size Options

For dev/pro/pro-1.1 (pixel dimensions):

  • "1024x1024", "1344x768", "768x1344", "1024x576", "576x1024"

For ultra/kontext (aspect ratios):

  • "1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3", "21:9", "9:21"

Edit Images

Use kontext models for text-guided image editing:

POST /flux/images
{
  "prompt": "change the background to a beach sunset",
  "action": "edit",
  "image_url": "https://example.com/photo.jpg",
  "model": "flux-kontext-pro"
}

Task Polling

POST /flux/tasks
{"task_id": "your-task-id"}

MCP Server

pip install mcp-flux

Or hosted: https://flux.mcp.acedata.cloud/mcp

Key tools: flux_generate_image, flux_edit_image

Gotchas

  • Use pixel dimensions (e.g., "1024x1024") with dev/pro models, aspect ratios (e.g., "16:9") with ultra/kontext models
  • Editing requires kontext models (flux-kontext-pro or flux-kontext-max) — other models only support generation
  • count parameter generates multiple images in one request (increases cost proportionally)
  • Ultra model produces highest quality but is slowest — use dev for iteration, ultra for final output
  • All generation is async — use "wait": true or poll /flux/tasks
安全使用建议
This skill appears to do what it says (call AceDataCloud Flux to generate/edit images), but the SKILL.md requires an ACEDATACLOUD_API_TOKEN while the registry metadata omitted it — ask the publisher to confirm the credential requirement and token scope. Before installing or running: (1) verify the API host (https://api.acedata.cloud) is legitimate and that you trust the service; (2) create a limited-scope API token (not a broad account key) if possible; (3) be cautious about letting the agent autonomously call the API using that token; (4) if you plan to pip install mcp-flux, inspect that package (source, maintainers, versions) before installing. If the publisher cannot explain the metadata mismatch or the token's intended permissions, treat the skill with caution or avoid installing it.
能力评估
Purpose & Capability
The SKILL.md describes generating and editing images via AceDataCloud's Flux API — that purpose aligns with the endpoints and parameters shown. However, the registry metadata lists no required environment variables while the SKILL.md explicitly requires ACEDATACLOUD_API_TOKEN, an inconsistency that should be resolved.
Instruction Scope
Runtime instructions are narrowly focused: curl POSTs to api.acedata.cloud, JSON request bodies for generation/editing, and optional polling of /flux/tasks. The doc does not instruct reading unrelated files or other secrets.
Install Mechanism
This is an instruction-only skill (no install spec). The README suggests optionally installing a third-party pip package (mcp-flux), which is expected for tool integration but should be verified before running.
Credentials
The SKILL.md requires ACEDATACLOUD_API_TOKEN (appropriate for an API client), but the registry metadata declares no required env vars or primary credential — a mismatch. Confirming where the token comes from and its intended scope is important.
Persistence & Privilege
No persistent installation or elevated privileges are requested (always:false, user-invocable:true, no config paths). Agent autonomous invocation is allowed by default but not a special privilege here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install acedatacloud-flux-image
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /acedatacloud-flux-image 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of flux-image for generating and editing images with Flux via the AceDataCloud API. - Supports multiple Flux models (dev, pro, ultra, kontext) for image generation and editing. - Offers both text-to-image generation and image editing with text instructions. - Requires ACEDATACLOUD_API_TOKEN for authentication. - Includes usage examples, supported size/aspect ratio options, and model selection guidance. - Compatible with mcp-flux for extended tool use and automation.
元数据
Slug acedatacloud-flux-image
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Flux Image 是什么?

Generate and edit images with Flux (Black Forest Labs) via AceDataCloud API. Use when creating images from text prompts, editing existing images with text in... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 112 次。

如何安装 Flux Image?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install acedatacloud-flux-image」即可一键安装,无需额外配置。

Flux Image 是免费的吗?

是的,Flux Image 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Flux Image 支持哪些平台?

Flux Image 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Flux Image?

由 Germey(@germey)开发并维护,当前版本 v1.0.0。

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