awesome-genmedia Flux Canny Pro
Generate images guided by canny edge detection from control images. Flux Canny Pro extracts edges from an input image to preserve structural composition while generating new content.
Quick Start
Requires an each::labs API key. Get one at eachlabs.ai.
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "flux-canny-pro",
"version": "0.0.1",
"input": {
"prompt": "a futuristic city at night, neon lights, cyberpunk aesthetic",
"control_image": "https://example.com/city-photo.jpg",
"guidance": 30,
"steps": 50,
"output_format": "jpg"
}
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| control_image | string | - | Image to use as control input. Must be jpeg, png, or webp |
| guidance | number | 30 | Controls the balance between adherence to text/image prompt and creativity |
| output_format | string | jpg | Output format. enum: jpg, png |
| prompt | string | - | Text prompt for image generation |
| prompt_upsampling | boolean | false | Automatically modify the prompt for more creative generation |
| safety_tolerance | integer | 2 | Safety tolerance, 1 is most strict and 6 is most permissive |
| seed | integer | - | Random seed. Set for reproducible generation |
| steps | integer | 50 | Number of diffusion steps. Higher values yield finer details |
Examples
Architectural style transfer:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "flux-canny-pro",
"version": "0.0.1",
"input": {
"prompt": "a gothic cathedral made of crystal and ice, fantasy art, detailed",
"control_image": "https://example.com/cathedral.jpg",
"guidance": 25,
"steps": 50,
"seed": 123
}
}'
Product design reimagining:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "flux-canny-pro",
"version": "0.0.1",
"input": {
"prompt": "a sleek minimalist white ceramic vase, studio lighting, product photography",
"control_image": "https://example.com/vase-shape.jpg",
"guidance": 20,
"steps": 40,
"prompt_upsampling": true,
"output_format": "png"
}
}'
Related Models
- flux-depth-pro - Depth-controlled image generation
- flux-dev-controlnet - Multi-mode ControlNet generation
- sdxl-controlnet - SDXL-based ControlNet generation