---

name: flux-canny-pro description: "Flux Canny Pro | Edge-Controlled Image Generation. Generate images guided by edge detection from control images. Triggers: flux canny, canny edge, edge control, image generation, controlnet canny" allowed-tools: Bash(curl *), WebFetch

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

Documentation

• each::labs Docs
• API Reference