How do I use Chiori - Chiori V1.1[Style Lora] via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "chiori-chiori-v1-1-style-lora". Get an API key from modelslab.com.

Is Chiori - Chiori V1.1[Style Lora] 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 Chiori - Chiori V1.1[Style Lora] and 1,000+ other models.

What parameters does Chiori - Chiori V1.1[Style Lora] support?

Chiori - Chiori V1.1[Style Lora] 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.

LoRA

Chiori - Chiori V1.1[Style Lora]

model_id: chiori-chiori-v1-1-style-lora

Chiori_V1.1Style_LoRA Update Highlights:Major upgrades across the board too many to list individually.Enhanced CLIP control for better prompt accuracy and style fidelity.Stronger and cleaner style application with less prompt effort.Recommended strength: 0.5 balances quality and control efficiently. Chiori_V1.1Style_LoRA Update Highlights:Major upgrades across the board too many to list individually.Enhanced CLIP control for better prompt accuracy and style fidelity.Stronger and cleaner style application with less prompt effort.Recommended strength: 0.5 balances quality and control efficiently. You can integrate Chiori - Chiori V1.1[Style Lora] into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "chiori-chiori-v1-1-style-lora" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Chiori - Chiori V1.1[Style Lora] 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 Chiori - Chiori V1.1[Style Lora] in playground → Get API key 0

Generate with Chiori - Chiori V1.1[Style Lora] 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": "chiori-chiori-v1-1-style-lora",
  "prompt": "a photo of chiori - chiori v1.1[style lora]",
  "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": "chiori-chiori-v1-1-style-lora",
  "prompt": "a photo of chiori - chiori v1.1[style lora]",
  "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": "chiori-chiori-v1-1-style-lora",
  "prompt": "a photo of chiori - chiori v1.1[style lora]",
  "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	chiori-chiori-v1-1-style-lora	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

Chiori - Chiori V1.1[Style Lora] is also known as: Chiori - Chiori V1.1[Style Lora], chiori-chiori-v1-1-style-lora, chiori chiori v1 1 style lora, chiorichioriv11stylelora, chiori.chiori.v1.1.style.lora, chiori-chiori-v1.1-style-lora, Chiori - Chiori 1.1[Style Lora]. Use it for lora image generation, available for download via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Chiori - Chiori V1.1[Style Lora]

How do I use Chiori - Chiori V1.1[Style Lora] via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "chiori-chiori-v1-1-style-lora". Get an API key from modelslab.com.
Is Chiori - Chiori V1.1[Style Lora] 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 Chiori - Chiori V1.1[Style Lora] and 1,000+ other models.
What parameters does Chiori - Chiori V1.1[Style Lora] support?: Chiori - Chiori V1.1[Style Lora] 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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Parameters

Also searched as

FAQ — Chiori - Chiori V1.1[Style Lora]

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