How do I use Consistent Factor (Euclid) - Euclid (V6.1) via API?

Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "consistentfactoreuclid-euclidv61". Get an API key from modelslab.com.

Is Consistent Factor (Euclid) - Euclid (V6.1) 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 Consistent Factor (Euclid) - Euclid (V6.1) support?

Consistent Factor (Euclid) - Euclid (V6.1) 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

Consistent Factor (Euclid) - Euclid (V6.1)

model_id: consistentfactoreuclid-euclidv61

Generate images from text with Consistent Factor (Euclid) Euclid (v6.1). High-resolution AI image generation. Plans from $21/month. V6 is the final step for Euclid. Yes, that's right, this is the final version. Months of hard work, learning, merging, all to get to this point. There will be side versions like Ultra and Cinematic but as far as the base version goes, this is it. I've pushed SD 1.5 as far as it will go. Hope you all You can integrate Consistent Factor (Euclid) - Euclid (V6.1) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "consistentfactoreuclid-euclidv61" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Consistent Factor (Euclid) - Euclid (V6.1) costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

Use Consistent Factor (Euclid) - Euclid (V6.1) in playground → Get API key

Generate with Consistent Factor (Euclid) - Euclid (V6.1) 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": "consistentfactoreuclid-euclidv61",
  "prompt": "a photo of consistent factor (euclid) - euclid (v6.1)",
  "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": "consistentfactoreuclid-euclidv61",
  "prompt": "a photo of consistent factor (euclid) - euclid (v6.1)",
  "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": "consistentfactoreuclid-euclidv61",
  "prompt": "a photo of consistent factor (euclid) - euclid (v6.1)",
  "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	consistentfactoreuclid-euclidv61	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

Consistent Factor (Euclid) - Euclid (V6.1) is also known as: Consistent Factor (Euclid) - Euclid (V6.1), consistentfactoreuclid-euclidv61, consistentfactoreuclid euclidv61, consistentfactoreuclideuclidv61, consistentfactoreuclid.euclidv61, Consistent Factor (Euclid) - Euclid (6.1). Use it for stable diffusion generation, available via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.

FAQ — Consistent Factor (Euclid) - Euclid (V6.1)

How do I use Consistent Factor (Euclid) - Euclid (V6.1) via API?: Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "consistentfactoreuclid-euclidv61". Get an API key from modelslab.com.
Is Consistent Factor (Euclid) - Euclid (V6.1) 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 Consistent Factor (Euclid) - Euclid (V6.1) support?: Consistent Factor (Euclid) - Euclid (V6.1) 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.