juggernaut xl v9
by stablediffusionapi
Open source · 8k downloads · 4 likes
0.9
(4 reviews)ImageAPI & LocalAbout
Juggernaut XL v9 is an advanced AI-powered image generation model specialized in creating highly realistic and detailed images from text descriptions. It excels particularly in producing hyperrealistic portraits, cyberpunk or futuristic scenes, and complex environments with cinematic lighting. Its capabilities include fine-tuned control over anatomical details, textures, and lighting ambiance, while allowing precise adjustments through parameters such as style, resolution, or elements to avoid. This model is ideal for artists, content creators, or developers seeking to generate professional visuals without design expertise, offering both speed and flexibility. What sets it apart is its balance between realism and creativity, as well as its easy integration via an accessible API, even for non-technical users.
Documentation
API Inference
Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "juggernaut-xl-v9"
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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-xl-v9",
"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
diffuserssafetensorsmodelslab.comstable-diffusion-apitext-to-imageultra-realisticendpoints_compatible
Links & Resources