360 Secure SkillHub
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Midjourney Image

该 Skill 指导通过 Ace Data Cloud 的 Midjourney API 或托管 MCP 服务提交图像与视频的生成、编辑、放大、变体、描述等请求,保存返回的 task_id 并轮询同一任务直至成功或失败。使用前需配置服务 API 密钥,并在 OpenClaw 环境下设置环境变量。

acedatacloud
acedatacloud
热度 78.58
最近更新 2026-10-12 00:25:08
分类:创作依赖:代码执行 / 第三方 API / MCP 服务应用场景:图像生成 / API 集成 / 视频编辑

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add acedatacloud/midjourney
Metadata
name
midjourney-image
description
Generate and edit Midjourney images or videos through Ace Data Cloud. Use for imagine, edit, blend, variations, upscale, describe, video generation, and querying the exact task ID.
license
Apache-2.0
metadata
{"author":"acedatacloud","version":"1.0"}
compatibility
Requires an AceDataCloud service API key with Midjourney access; get one at https://platform.acedata.cloud/console/applications. Optionally use the hosted mcp-midjourney server for tool calls.

Midjourney via Ace Data Cloud

Use the Midjourney API or the hosted MCP server.

First-time setup

  1. Install the official Skill with clawhub install @acedatacloud/midjourney. Check that the ClawHub publisher is @acedatacloud.
  2. Sign in at AceDataCloud → Applications, open General application (initialize it if prompted), and check Midjourney access, balance, and current pricing. Copy its API key, or select Manage Keys → Create for a separate key. Copy the key value without Bearer ; a platform-... management token is not a service API key.
  3. If you enable Allowed APIs restrictions, include /midjourney/imagine and /midjourney/tasks for the first image. Other actions below need their own routes.
  4. On the OpenClaw Gateway host, put ACEDATACLOUD_API_TOKEN=your_api_key_here in ~/.openclaw/.env, then restart the Gateway and start a new session. For a direct terminal test, run export ACEDATACLOUD_API_TOKEN="your_api_key_here" in that shell. Never put the key in a prompt or commit an .env file.
  5. Run the First image example below. Save the returned task ID and query that same task until it finishes; do not submit another billable imagine request just to check progress.

Token setup and troubleshooting

First image

Check your current Midjourney pricing and balance in the Ace Data Cloud console before submitting a generation. One imagine request can produce a 2×2 grid. Use async: true so the request returns a task_id promptly:

curl -X POST https://api.acedata.cloud/midjourney/imagine \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"A small red sailboat on a calm lake at sunrise --ar 1:1","mode":"fast","async":true}'

Save the returned task_id. Poll that same ID; do not repeat the imagine call to check progress:

curl -X POST https://api.acedata.cloud/midjourney/tasks \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action":"retrieve","id":"TASK_ID_FROM_FIRST_CALL"}'

An accepted task is not a finished image. Only present the final artifact after the retrieved task contains response.success: true and a usable response.image_url or response.raw_image_url. Stop and report the error when the task fails. Keep the task ID when a query or network connection is interrupted; querying the same ID does not submit another generation. See the task API guide.

Other actions

  • Transform a completed grid with its image_id and an action such as upscale1, variation1, or reroll through POST /midjourney/imagine. These are new billable actions, not task queries.
  • Edit an input image with a prompt through POST /midjourney/edits.
  • Describe an image through POST /midjourney/describe.
  • Generate or extend video through POST /midjourney/videos. Save its task ID and query the same task.
  • Use the version parameter or prompt flags only for a version documented by the live API. Midjourney V8.1 supports fast and relax, not turbo, and does not accept a quality parameter.

MCP tools

The hosted Streamable HTTP server is https://midjourney.mcp.acedata.cloud/mcp. Configure Authorization: Bearer <Ace token> privately in the MCP client. Its named tools include midjourney_imagine, midjourney_edit, midjourney_blend, midjourney_describe, midjourney_generate_video, midjourney_get_task, and midjourney_get_tasks_batch. Use midjourney_get_task with the exact ID returned by a generation tool until the final success or failure is clear. The MCP server source documents the full tool surface.

The server can also run locally from the published mcp-midjourney package. Do not add a substitute model or service if an operation fails.

Troubleshooting

  • 401: check the token value and expiry. 403: check Midjourney access or content policy. 429: wait for the advised rate-limit interval. A 5xx or transport timeout after task submission is not a reason to create another task; query the saved ID first.
  • If the task is complete but no URL is present, inspect the full task response and report the missing artifact; do not treat the task ID as a result.
  • Review the Ace Data Cloud usage or billing record for the completed action. Task queries do not create another imagine request.