How do I use Controlnet 1.1 - Human Pose via API?

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

Is Controlnet 1.1 - Human Pose 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 1.1 - Human Pose and 1,000+ other models.

What parameters does Controlnet 1.1 - Human Pose support?

Controlnet 1.1 - Human Pose 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.

Stable Diffusion

Controlnet 1.1 - Human Pose

model_id: openpose

ControlNet is a neural network structure to control diffusion models by adding extra conditions. This checkpoint corresponds to the ControlNet conditioned on Human Pose Estimation. ControlNet is a neural network structure to control diffusion models by adding extra conditions. This checkpoint corresponds to the ControlNet conditioned on Human Pose Estimation. You can integrate Controlnet 1.1 - Human Pose into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "openpose" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Controlnet 1.1 - Human Pose 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 1.1 - Human Pose in playground → Get API key 0

Generate with Controlnet 1.1 - Human Pose 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": "openpose",
  "prompt": "a photo of controlnet 1.1 - human pose",
  "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": "openpose",
  "prompt": "a photo of controlnet 1.1 - human pose",
  "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": "openpose",
  "prompt": "a photo of controlnet 1.1 - human pose",
  "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	openpose	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 1.1 - Human Pose is also known as: Controlnet 1.1 - Human Pose, openpose. Use it for stable diffusion image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Controlnet 1.1 - Human Pose

How do I use Controlnet 1.1 - Human Pose via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "openpose". Get an API key from modelslab.com.
Is Controlnet 1.1 - Human Pose 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 1.1 - Human Pose and 1,000+ other models.
What parameters does Controlnet 1.1 - Human Pose support?: Controlnet 1.1 - Human Pose 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.

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Generate with Controlnet 1.1 - Human Pose via API

Parameters

Also searched as

FAQ — Controlnet 1.1 - Human Pose

Related models

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