How do I use ControlNetXL (CNXL) - Huchenlei-PuLID via API?

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

Is ControlNetXL (CNXL) - Huchenlei-PuLID 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 ControlNetXL (CNXL) - Huchenlei-PuLID and 1,000+ other models.

What parameters does ControlNetXL (CNXL) - Huchenlei-PuLID support?

ControlNetXL (CNXL) - Huchenlei-PuLID 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.

SDXL

ControlNetXL (CNXL) - Huchenlei-PuLID

model_id: controlnetxl-cnxl-huchenlei-pulid

PuLID is an ip-adapter alike method to restore facial identity. It uses both insightface embedding and CLIP embedding similar to what ip-adapter faceid plus model does. However, there is an extra process of masking out the face from background environment using facexlib before passing image to CLIP. PuLID is an ip-adapter alike method to restore facial identity. It uses both insightface embedding and CLIP embedding similar to what ip-adapter faceid plus model does. However, there is an extra process of masking out the face from background environment using facexlib before passing image to CLIP. You can integrate ControlNetXL (CNXL) - Huchenlei-PuLID into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "controlnetxl-cnxl-huchenlei-pulid" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ControlNetXL (CNXL) - Huchenlei-PuLID 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 ControlNetXL (CNXL) - Huchenlei-PuLID in playground → Get API key 0

Generate with ControlNetXL (CNXL) - Huchenlei-PuLID 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": "controlnetxl-cnxl-huchenlei-pulid",
  "prompt": "a photo of controlnetxl (cnxl) - huchenlei-pulid",
  "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": "controlnetxl-cnxl-huchenlei-pulid",
  "prompt": "a photo of controlnetxl (cnxl) - huchenlei-pulid",
  "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": "controlnetxl-cnxl-huchenlei-pulid",
  "prompt": "a photo of controlnetxl (cnxl) - huchenlei-pulid",
  "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	controlnetxl-cnxl-huchenlei-pulid	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

ControlNetXL (CNXL) - Huchenlei-PuLID is also known as: ControlNetXL (CNXL) - Huchenlei-PuLID, controlnetxl-cnxl-huchenlei-pulid, controlnetxl cnxl huchenlei pulid, controlnetxlcnxlhuchenleipulid, controlnetxl.cnxl.huchenlei.pulid. Use it for sdxl image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — ControlNetXL (CNXL) - Huchenlei-PuLID

How do I use ControlNetXL (CNXL) - Huchenlei-PuLID via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "controlnetxl-cnxl-huchenlei-pulid". Get an API key from modelslab.com.
Is ControlNetXL (CNXL) - Huchenlei-PuLID 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 ControlNetXL (CNXL) - Huchenlei-PuLID and 1,000+ other models.
What parameters does ControlNetXL (CNXL) - Huchenlei-PuLID support?: ControlNetXL (CNXL) - Huchenlei-PuLID 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 ControlNetXL (CNXL) - Huchenlei-PuLID via API

Parameters

Also searched as

FAQ — ControlNetXL (CNXL) - Huchenlei-PuLID

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