by stablediffusionapi
Open source · 4k downloads · 52 likes
Realistic Vision V5.1 is an AI model specialized in generating ultra-realistic images from text descriptions. It excels at creating detailed portraits, cinematic scenes, or complex compositions with photorealistic rendering, thanks to its mastery of lighting, textures, and anatomical proportions. This model is particularly well-suited for artists, designers, and content creators seeking to produce professional visuals without technical drawing or editing skills. Its strength lies in its ability to interpret richly detailed prompts while avoiding common artifacts like distorted hands or blurry faces. Unlike more generic versions, it stands out for its balance between realism and creativity, delivering consistent and aesthetically polished results.
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realistic-vision-v51"
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import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
payload = json.dumps({
"key": "your_api_key",
"model_id": "realistic-vision-v51",
"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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