awesome-genmedia SDXL Controlnet
Generate images guided by input images using ControlNet with the SDXL model. Control the generation process with a reference image and text prompt for precise structural guidance.
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": "sdxl-controlnet",
"version": "0.0.1",
"input": {
"prompt": "aerial view, a futuristic research complex in a bright foggy jungle, hard lighting",
"image": "https://example.com/reference-layout.jpg",
"condition_scale": 0.5,
"num_inference_steps": 50
}
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| condition_scale | number | 0.5 | ControlNet conditioning scale for generalization |
| image | string | - | Input image for img2img or inpaint mode |
| negative_prompt | string | low quality, bad quality, sketches | Input negative prompt |
| num_inference_steps | integer | 50 | Number of denoising steps |
| prompt | string | aerial view, a futuristic research complex... | Input prompt |
| seed | integer | 0 | Random seed. Set to 0 to randomize |
Examples
Architectural visualization:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "sdxl-controlnet",
"version": "0.0.1",
"input": {
"prompt": "a modern glass skyscraper reflecting sunset clouds, photorealistic, architectural photography",
"image": "https://example.com/building-sketch.jpg",
"condition_scale": 0.7,
"num_inference_steps": 50,
"negative_prompt": "low quality, blurry, distorted"
}
}'
Artistic 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": "sdxl-controlnet",
"version": "0.0.1",
"input": {
"prompt": "a vibrant oil painting of a garden path with blooming roses, impressionist style",
"image": "https://example.com/garden-path.jpg",
"condition_scale": 0.4,
"num_inference_steps": 40,
"seed": 12345
}
}'
Related Models
- flux-dev-controlnet - Flux-based multi-mode ControlNet
- flux-canny-pro - Canny edge ControlNet with Flux
- flux-depth-pro - Depth-controlled generation with Flux