How do I use Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0". Get an API key from modelslab.com.

Is Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 free to use?

No. API access requires a paid ModelsLab plan, starting at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generations on open-source models; third-party models are billed separately.

What parameters does Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 support?

Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 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

Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0

model_id: cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0

Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 is a ai generation AI model available on ModelsLab. Access it through our API. You can integrate Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 costs $0.0047 per API call. API access requires a paid ModelsLab plan, from $21/month. The model ID for Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 is "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0". Use this ID in your API requests to specify this model.

Use Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 in playground → Get API key

Generate with Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 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": "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0",
  "prompt": "a photo of cortana [halo] lora sd1.5 & sdxl1.0 - xl v4.0",
  "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(json.loads(r'''{
  "key": "YOUR_API_KEY",
  "model_id": "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0",
  "prompt": "a photo of cortana [halo] lora sd1.5 & sdxl1.0 - xl v4.0",
  "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": "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0",
  "prompt": "a photo of cortana [halo] lora sd1.5 & sdxl1.0 - xl v4.0",
  "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	cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0	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

Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 is also known as: Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0, cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0, cortana halo lora sd1 5 sdxl1 0 xl v4 0, cortanahalolorasd15sdxl10xlv40, cortana.halo.lora.sd1.5.sdxl1.0.xl.v4.0, cortana-halo-lora-sd1-5-sdxl1-0-xl-v4.0, cortana-halo-lora-sd1.5-sdxl1.0-xl-v4.0, Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl 4.0. Use it for sdxl generation, available via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0

How do I use Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "cortana-halo-lora-sd1-5-sdxl1-0-xl-v4-0". Get an API key from modelslab.com.
Is Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 free to use?: No. API access requires a paid ModelsLab plan, starting at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generations on open-source models; third-party models are billed separately.
What parameters does Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 support?: Cortana [Halo] LoRA SD1.5 & SDXL1.0 - Xl V4.0 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.