E
Ekko237/imagegen-swarm
Use every AI image quota you already pay for, all at once: a Claude Code / Codex skill that runs Codex, Grok,…
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"ekko237-imagegen-swarm": {
"command": "npx",
"args": ["skills"]
}
}
}Parsed from the README we fetched on 2026-11-11; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"ekko237-imagegen-swarm": {
"command": "npx",
"args": ["skills"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio ekko237-imagegen-swarm -- npx skills
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 2 ★ · Ekko237/imagegen-swarm · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-11-12 · last seen 2026-11-14 · seen 3× · listed by 1 sources
- Score
- score 103 · 2 ★ · 1 sources · repo
- Install
npx skills
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx skills. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
Ekko237/imagegen-swarm；first catalogued 2026-11-12；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# imagegen-swarm
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
中文说明
A Claude Code and Codex skill that runs batch image and video generation across six engines in parallel. No image API key needed for most engines—use the Codex, Jimeng, Grok, Gemini, and Muse accounts you already have.
Codex, Jimeng, Grok, Gemini, Muse: use your existing account logins. (Jimeng also generates videos.)
Lovart: uses its official AK/SK, stored on your machine.
Give imagegen-swarm a list of jobs and it feeds all six engines at once. Free lanes pull the next image from a shared queue, finishing batches in minutes. When one engine hits its quota limit, the remaining engines pick up its work.
## How the work is shared
Each engine opens multiple lanes. Every free lane grabs the next job in the queue. If an engine runs out of quota, the others take over. In the 50-image test run above, Gemini and Lovart hit their limits partway through, and the remaining engines still delivered all 50 images.
It is one test run, so your numbers will differ: your speed will depend on your account quotas. In this run, Lovart and Muse were on free plans, and Gemini and Lovart ran out midway. With more quota, all engines stay active to the end and a batch usually finishes faster.
## Why
Image tools give you weekly or monthly quotas that mostly sit unused. Running one engine at a time is slow and stops at its limit. imagegen-swarm puts all your accounts on a single queue:
Parallel: every engine runs multiple lanes at once; any free lane grabs the next compatible job.
Quota-aware: if an engine reports exhausted quota, a missing login, or a missing install, it shuts down and returns its job to the queue. Plain rate limits trigger a backoff and only shut the engine down after three in a row.
Correct: checks every file to confirm it is new from this run, re-runs wrong aspect ratios on another engine, and output is always real PNG.
Fits your machine: lane counts scale with RAM, from 12 lanes on a 4 GB laptop to 34 on 16 GB or more. Want to keep memory free for other apps? Cap memory usage with IMAGE_GEN_MEMORY_GB=4, or set exact lane counts with --lanes gemini=2,codex=2.
Resumable: rerun the same job list and already-finished images are skipped.
## Engines
| Engine | Can do | Runs through |
| codex | images, reference images | Codex CLI's built-in image_gen (your Codex / ChatGPT login) |
| jimeng | images, edits (up to 10 references), text- and image-to-video | the official Dreamina CLI (your Douyin login) |
| grok | images, edits, reference-to-video | Grok Build CLI's Imagine tools |
| gemini | images, edits (up to 3 references) | Antigravity CLI's generate_image |
| muse | images, reference images | Muse (muse.ai) driven by a headless browser |
| lovart | images, reference images | the official Lovart CLI (your AK/SK) |
You only need one engine logged in. Every engine you add makes batches faster.
## Install
bash
npx skills add https://github.com/Ekko237/imagegen-swarm -a claude-code -a codex
That installs the skill with the npx skills CLI and works across Claude Code, Codex and other agents.
Claude Code plugin
Claude Code:
bash
claude plugin install imagegen-swarm --marketplace Ekko237/imagegen-swarm
中文说明
A Claude Code and Codex skill that runs batch image and video generation across six engines in parallel. No image API key needed for most engines—use the Codex, Jimeng, Grok, Gemini, and Muse accounts you already have.
Codex, Jimeng, Grok, Gemini, Muse: use your existing account logins. (Jimeng also generates videos.)
Lovart: uses its official AK/SK, stored on your machine.
Give imagegen-swarm a list of jobs and it feeds all six engines at once. Free lanes pull the next image from a shared queue, finishing batches in minutes. When one engine hits its quota limit, the remaining engines pick up its work.
## How the work is shared
Each engine opens multiple lanes. Every free lane grabs the next job in the queue. If an engine runs out of quota, the others take over. In the 50-image test run above, Gemini and Lovart hit their limits partway through, and the remaining engines still delivered all 50 images.
It is one test run, so your numbers will differ: your speed will depend on your account quotas. In this run, Lovart and Muse were on free plans, and Gemini and Lovart ran out midway. With more quota, all engines stay active to the end and a batch usually finishes faster.
## Why
Image tools give you weekly or monthly quotas that mostly sit unused. Running one engine at a time is slow and stops at its limit. imagegen-swarm puts all your accounts on a single queue:
Parallel: every engine runs multiple lanes at once; any free lane grabs the next compatible job.
Quota-aware: if an engine reports exhausted quota, a missing login, or a missing install, it shuts down and returns its job to the queue. Plain rate limits trigger a backoff and only shut the engine down after three in a row.
Correct: checks every file to confirm it is new from this run, re-runs wrong aspect ratios on another engine, and output is always real PNG.
Fits your machine: lane counts scale with RAM, from 12 lanes on a 4 GB laptop to 34 on 16 GB or more. Want to keep memory free for other apps? Cap memory usage with IMAGE_GEN_MEMORY_GB=4, or set exact lane counts with --lanes gemini=2,codex=2.
Resumable: rerun the same job list and already-finished images are skipped.
## Engines
| Engine | Can do | Runs through |
| codex | images, reference images | Codex CLI's built-in image_gen (your Codex / ChatGPT login) |
| jimeng | images, edits (up to 10 references), text- and image-to-video | the official Dreamina CLI (your Douyin login) |
| grok | images, edits, reference-to-video | Grok Build CLI's Imagine tools |
| gemini | images, edits (up to 3 references) | Antigravity CLI's generate_image |
| muse | images, reference images | Muse (muse.ai) driven by a headless browser |
| lovart | images, reference images | the official Lovart CLI (your AK/SK) |
You only need one engine logged in. Every engine you add makes batches faster.
## Install
bash
npx skills add https://github.com/Ekko237/imagegen-swarm -a claude-code -a codex
That installs the skill with the npx skills CLI and works across Claude Code, Codex and other agents.
Claude Code plugin
Claude Code:
bash
claude plugin install imagegen-swarm --marketplace Ekko237/imagegen-swarm
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- Source
- github · https://github.com/Ekko237/imagegen-swarm
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