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From pexo
Generates images via Midjourney, Flux, Ideogram, Recraft, SDXL, and Gemini through one script. Automatically selects the best model and handles API key complexity.
npx claudepluginhub pexoai/pexo-skills --plugin pexoHow this skill is triggered — by the user, by Claude, or both
Slash command
/pexo:videoagent-image-studioThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Use when:** User asks to generate, draw, create, or make any kind of image, photo, illustration, icon, logo, or artwork.
Generates AI images via MeiGen agents for artwork, logos, posters, mockups; refines prompts, searches references, batches variations. Activates on image creation requests.
Generates images from text, edits images with references, performs product placement, style transfer, and multi-image composition using OpenAI DALL-E or Google Gemini.
Generates and edits images via OpenRouter using FLUX and Gemini models. Use for photos, illustrations, artwork, and visual assets, not technical diagrams.
Share bugs, ideas, or general feedback.
Use when: User asks to generate, draw, create, or make any kind of image, photo, illustration, icon, logo, or artwork.
Generate images with 8 state-of-the-art AI models. This skill automatically picks the best model for the job and handles all the complexity — including Midjourney's async polling — so you can focus on the conversation.
| User Intent | Model | Speed |
|---|---|---|
| Artistic, cinematic, painterly | midjourney | ~15s |
| Photorealistic, portrait, product | flux-pro | ~8s |
| General purpose, balanced | flux-dev | ~10s |
| Quick draft, fast iteration | flux-schnell | ~2s |
| Image with text, logo, poster | ideogram | ~10s |
| Vector art, icon, flat design | recraft | ~8s |
| Anime, stylized illustration | sdxl | ~5s |
| Gemini-powered, consistent style | nano-banana | ~12s |
Before calling the script, expand the user's prompt with style, lighting, and quality descriptors appropriate for the chosen model.
cinematic lighting, ultra detailed, --v 7, --style rawmasterpiece, highly detailed, sharp focus, professional photographyvector illustration, flat design, icon stylenode {baseDir}/tools/generate.js \
--model <model_id> \
--prompt "<enhanced prompt>" \
--aspect-ratio <ratio>
All parameters:
| Parameter | Default | Description |
|---|---|---|
--model | flux-dev | Model ID from the table above |
--prompt | (required) | The image generation prompt |
--aspect-ratio | 1:1 | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 21:9 |
--num-images | 1 | Number of images (1–4; Midjourney always returns 4) |
--negative-prompt | — | Things to avoid (not supported by Midjourney) |
--seed | — | Seed for reproducibility |
The script always waits and returns the final image URL(s). No polling required.
{
"success": true,
"model": "flux-pro",
"imageUrl": "https://...",
"images": ["https://..."]
}
Send the imageUrl to the user.
After generating a 4-image grid with Midjourney, offer the user these options:
# Upscale image #2 (subtle, preserves details)
node {baseDir}/tools/generate.js \
--model midjourney \
--action upscale \
--index 2 \
--job-id <job_id>
# Create a strong variation of image #3
node {baseDir}/tools/generate.js \
--model midjourney \
--action variation \
--index 3 \
--job-id <job_id> \
--variation-type 1
# Regenerate with same prompt
node {baseDir}/tools/generate.js \
--model midjourney \
--action reroll \
--job-id <job_id>
Upscale types: 0 = Subtle (default, best for photos), 1 = Creative (best for illustrations)
Variation types: 0 = Subtle (default), 1 = Strong (dramatic changes)
User: "Draw a snow leopard on a snowy mountain with cinematic lighting"
# Choose midjourney for artistic quality
node {baseDir}/tools/generate.js \
--model midjourney \
--prompt "a majestic snow leopard on a snowy mountain peak, cinematic lighting, dramatic atmosphere, ultra detailed --ar 16:9 --v 7" \
--aspect-ratio 16:9
🎨 Done! Which one to upscale? (U1-U4) Or create a variant? (V1-V4)
User: "Use Flux to generate a perfume product poster, white background"
# Choose flux-pro for photorealistic product shots
node {baseDir}/tools/generate.js \
--model flux-pro \
--prompt "a luxury perfume bottle on a clean white background, professional product photography, soft shadows, 8k, highly detailed" \
--aspect-ratio 3:4
User: "Show me a quick draft"
# flux-schnell for instant previews
node {baseDir}/tools/generate.js \
--model flux-schnell \
--prompt "..." \
--aspect-ratio 1:1
User: "Make me an App icon, flat style, blue theme"
# recraft for vector/icon style
node {baseDir}/tools/generate.js \
--model recraft \
--prompt "a minimal flat design app icon, blue color scheme, simple geometric shapes, vector style, white background"
Zero API keys needed! All requests go through a hosted proxy that handles authentication server-side.
The skill works out of the box — just install and use.
If you want to use your own proxy or a persistent token, set these environment variables:
{
"skills": {
"entries": {
"videoagent-image-studio": {
"enabled": true,
"env": {
"IMAGE_STUDIO_PROXY_URL": "https://your-proxy.vercel.app",
"IMAGE_STUDIO_TOKEN": "your_token_here"
}
}
}
}
}
| Variable | Required | Description |
|---|---|---|
IMAGE_STUDIO_PROXY_URL | No | Custom proxy base URL (default: https://image-gen-proxy.vercel.app) |
IMAGE_STUDIO_TOKEN | No | Persistent token (auto-obtained if not set, 100 free uses per token) |
To deploy your own proxy, see the videoagent-audio-studio proxy as a reference implementation. You'll need FAL_KEY and LEGNEXT_KEY as Vercel environment variables.
--async / --poll flags needed in SKILL.md instructions.{ success, imageUrl, images } shape.--reference-images "url1,url2" for character/style consistency across generations.--async + --poll).