How do I use Controlnet-Seg-Room via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "controlnet-seg-room". Get an API key from modelslab.com.

Is Controlnet-Seg-Room free to use?

Yes — Stable Diffusion API offers a free tier with 20 generations. Paid plans starting at $8/month give you unlimited access to Controlnet-Seg-Room and 1,000+ other models.

What parameters does Controlnet-Seg-Room support?

Controlnet-Seg-Room accepts standard Stable Diffusion parameters: prompt, negative_prompt, width, height, samples, num_inference_steps (default 30), guidance_scale (default 7.5), seed, and safety_checker.

Can I use generated images commercially?

Yes. You retain copyright on all images you generate via the API and can use them commercially.

ControlNet

Controlnet-Seg-Room

model_id: controlnet-seg-room

controlnet-seg-room model Controlnet-Seg-Room is a ai generation AI model available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. You can integrate Controlnet-Seg-Room into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "controlnet-seg-room" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Controlnet-Seg-Room costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

Use Controlnet-Seg-Room in playground → Get API key 0

Generate with Controlnet-Seg-Room via API

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key. Get yours at modelslab.com.

curl -X POST 'https://stablediffusionapi.com/api/v4/dreambooth' \
  -H 'Content-Type: application/json' \
  -d '{
  "key": "YOUR_API_KEY",
  "model_id": "controlnet-seg-room",
  "prompt": "a photo of controlnet-seg-room",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
}'

import requests, json

url = "https://stablediffusionapi.com/api/v4/dreambooth"
payload = json.dumps({
  "key": "YOUR_API_KEY",
  "model_id": "controlnet-seg-room",
  "prompt": "a photo of controlnet-seg-room",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
})
headers = {'Content-Type': 'application/json'}
response = requests.post(url, headers=headers, data=payload)
print(response.text)

const response = await fetch("https://stablediffusionapi.com/api/v4/dreambooth", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
  "key": "YOUR_API_KEY",
  "model_id": "controlnet-seg-room",
  "prompt": "a photo of controlnet-seg-room",
  "negative_prompt": null,
  "width": "512",
  "height": "512",
  "samples": "1",
  "num_inference_steps": "30",
  "guidance_scale": "7.5",
  "safety_checker": "no",
  "enhance_prompt": "yes",
  "seed": null,
  "webhook": null,
  "track_id": null
})
});
const data = await response.json();
console.log(data);

Parameters

Parameter	Default	Description
model_id	controlnet-seg-room	Model identifier
prompt
negative_prompt
width	512	Output image width (px)
height	512	Output image height (px)
samples	1	Number of images to generate
num_inference_steps	30	Denoising steps (1-50)
guidance_scale	7.5	Prompt adherence (1-20)
seed	null	Random seed (null to randomize)
safety_checker	yes	NSFW filter (yes/no)
enhance_prompt	yes	Auto-improve prompt (yes/no)

Also searched as

Controlnet-Seg-Room is also known as: Controlnet-Seg-Room, controlnet-seg-room, controlnet seg room, controlnetsegroom, controlnet.seg.room. Use it for controlnet image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Controlnet-Seg-Room

How do I use Controlnet-Seg-Room via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "controlnet-seg-room". Get an API key from modelslab.com.
Is Controlnet-Seg-Room free to use?: Yes — Stable Diffusion API offers a free tier with 20 generations. Paid plans starting at $8/month give you unlimited access to Controlnet-Seg-Room and 1,000+ other models.
What parameters does Controlnet-Seg-Room support?: Controlnet-Seg-Room accepts standard Stable Diffusion parameters: prompt, negative_prompt, width, height, samples, num_inference_steps (default 30), guidance_scale (default 7.5), seed, and safety_checker.
Can I use generated images commercially?: Yes. You retain copyright on all images you generate via the API and can use them commercially.