How do I use MoP Mix - Juggernaut via API?

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

Is MoP Mix - Juggernaut 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 MoP Mix - Juggernaut and 1,000+ other models.

What parameters does MoP Mix - Juggernaut support?

MoP Mix - Juggernaut 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

MoP Mix - Juggernaut

model_id: mop-mix-juggernaut

This is a merge between MoP v5.1 DMD and the excellent Juggernaut Ragnarok.It seems to mainly excel at photorealism.This is a DMD-enabled checkpoint so the recommended settings are:Sampler: LCMScheduler: karras, exponential or betaSteps: 8-14CFG: 0.8-1.2 This is a merge between MoP v5.1 DMD and the excellent Juggernaut Ragnarok.It seems to mainly excel at photorealism.This is a DMD-enabled checkpoint so the recommended settings are:Sampler: LCMScheduler: karras, exponential or betaSteps: 8-14CFG: 0.8-1.2 You can integrate MoP Mix - Juggernaut into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "mop-mix-juggernaut" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. MoP Mix - Juggernaut 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 MoP Mix - Juggernaut in playground → Get API key 0

Generate with MoP Mix - Juggernaut 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": "mop-mix-juggernaut",
  "prompt": "a photo of mop mix - juggernaut",
  "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": "mop-mix-juggernaut",
  "prompt": "a photo of mop mix - juggernaut",
  "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": "mop-mix-juggernaut",
  "prompt": "a photo of mop mix - juggernaut",
  "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	mop-mix-juggernaut	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

MoP Mix - Juggernaut is also known as: MoP Mix - Juggernaut, mop-mix-juggernaut, mop mix juggernaut, mopmixjuggernaut, mop.mix.juggernaut. 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 — MoP Mix - Juggernaut

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

Parameters

Also searched as

FAQ — MoP Mix - Juggernaut

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