🎨 VideoAgent Image Studio
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.
Quick Reference
| 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 |
How to Generate an Image
Step 1 — Enhance the prompt
Before calling the script, expand the user's prompt with style, lighting, and quality descriptors appropriate for the chosen model.
- Midjourney: Add
cinematic lighting,ultra detailed,--v 7,--style raw - Flux: Add
masterpiece,highly detailed,sharp focus,professional photography - Ideogram: Be explicit about text content, font style, and layout
- Recraft: Specify
vector illustration,flat design,icon style
Step 2 — Run the script
bashnode {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 |
Step 3 — Return the result
The script always waits and returns the final image URL(s). No polling required.
json{ "success": true, "model": "flux-pro", "imageUrl": "https://...", "images": ["https://..."] }
Send the imageUrl to the user.
Midjourney Actions
After generating a 4-image grid with Midjourney, offer the user these options:
bash# 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)
Example Conversations
User: "Draw a snow leopard on a snowy mountain with cinematic lighting"
bash# 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"
bash# 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"
bash# 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"
bash# 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"
Setup
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.
Advanced: Custom proxy or token
If you want to use your own proxy or a persistent token, set these environment variables:
json{ "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.
Changelog
v2.0.0
- Simplified async: The script now blocks until Midjourney completes. No more
--async/--pollflags needed in SKILL.md instructions. - Unified output format: All models return the same
{ success, imageUrl, images }shape. - Reference images for Nano Banana: Pass
--reference-images "url1,url2"for character/style consistency across generations.
v1.3.0
- Added non-blocking async mode for Midjourney (
--async+--poll).
v1.2.0
- Midjourney turbo mode enabled by default (~10-20s).
v1.1.0
- Switched Midjourney provider from TTAPI to Legnext.ai for better stability.
v1.0.0
- Initial release with Midjourney, Flux, SDXL, Nano Banana, Ideogram, Recraft.


