juggernaut reborn
by stablediffusionapi
Open source · 6k downloads · 3 likes
0.8
(3 reviews)ImageAPI & LocalAbout
Juggernaut Reborn is an advanced AI image-generation model specializing in creating highly realistic and detailed images from text descriptions. It excels particularly in producing hyperrealistic portraits, cyberpunk scenes, or intricate artistic compositions, with meticulous attention to anatomical accuracy and cinematic lighting effects. Its capabilities include generating high-resolution images, optimizing prompts for more precise results, and customizing visual styles to suit user needs. Designed for artists, content creators, developers, and enthusiasts, it streamlines or enhances visual creation processes. What sets it apart is its ability to produce near-photographic quality images while offering flexible use through an accessible API, requiring no advanced technical expertise.
Documentation
Juggernaut Reborn API Inference
Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "juggernaut-reborn"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
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Python
import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
payload = json.dumps({
"key": "your_api_key",
"model_id": "juggernaut-reborn",
"prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",
"negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
"width": "512",
"height": "512",
"samples": "1",
"num_inference_steps": "30",
"safety_checker": "no",
"enhance_prompt": "yes",
"seed": None,
"guidance_scale": 7.5,
"multi_lingual": "no",
"panorama": "no",
"self_attention": "no",
"upscale": "no",
"embeddings": "embeddings_model_id",
"lora": "lora_model_id",
"webhook": None,
"track_id": None
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
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Capabilities & Tags
diffusersmodelslab.comstable-diffusion-apitext-to-imageultra-realisticendpoints_compatible
Links & Resources