Image Generation via Crazyrouter
Generate images using multiple AI models through Crazyrouter — one API key, all providers.
Supported Models
| Model | ID | Best For |
|---|---|---|
| DALL-E 3 | dall-e-3 |
General, creative |
| GPT Image 1 | gpt-image-1 |
GPT native, high quality |
| GPT-4o Image | gpt-4o-image |
Fast, versatile |
| Gemini 2.5 Flash Image | gemini-2.5-flash-image |
Fast, free tier |
| Gemini 3.1 Flash Image | gemini-3.1-flash-image-preview |
Latest Gemini |
| Gemini 3 Pro Image | gemini-3-pro-image-preview |
Pro quality |
| Imagen 3.0 | imagen-3.0-generate-002 |
Google Imagen |
| Imagen 4.0 | imagen-4.0-generate-001 |
Google's latest |
| Imagen 4.0 Ultra | imagen-4.0-ultra-generate-001 |
Highest quality |
| Sora Image | sora_image |
OpenAI Sora static |
Script Directory
Agent Execution:
SKILL_DIR= this SKILL.md file's directory- Script path =
${SKILL_DIR}/scripts/main.mjs
Step 0: Check API Key ⛔ BLOCKING
[ -n "${CRAZYROUTER_API_KEY}" ] && echo "key_present" || echo "not_set"
| Result | Action |
|---|---|
key_present |
Continue to Step 1 |
not_set |
Ask user to set CRAZYROUTER_API_KEY. Get key at https://crazyrouter.com |
Step 1: Generate Image
node ${SKILL_DIR}/scripts/main.mjs --prompt "your prompt" --image output.png
Options
| Option | Description | Default |
|---|---|---|
--prompt <text> |
Image description (required) | — |
--image <path> |
Output file path (required) | — |
--model <id> |
Model to use | dall-e-3 |
--size <WxH> |
Image size | 1024x1024 |
--n <count> |
Number of images (1-4) | 1 |
--quality <level> |
Quality: standard/hd | standard |
Examples
# Basic generation
node ${SKILL_DIR}/scripts/main.mjs --prompt "A sunset over mountains" --image sunset.png
# With GPT Image 1
node ${SKILL_DIR}/scripts/main.mjs --prompt "Cyberpunk city" --image city.png --model gpt-image-1
# With Imagen 4.0 Ultra (highest quality)
node ${SKILL_DIR}/scripts/main.mjs --prompt "Professional headshot" --image photo.png --model imagen-4.0-ultra-generate-001
# With Gemini 3 Pro
node ${SKILL_DIR}/scripts/main.mjs --prompt "Landscape" --image wide.png --model gemini-3-pro-image-preview
# Multiple images
node ${SKILL_DIR}/scripts/main.mjs --prompt "Logo concepts" --image logo.png --n 4
Step 2: Verify Output
After generation, confirm the image was saved:
ls -la <output_path>
Show the image to the user or report the file path.