cyberrealisticxlv211
stablediffusionapi
Texto a imagen
modelo de text-to-image basado en Diffusers y StableDiffusionXLPipeline que genera imágenes ultra-realistas.
Como usar
Uso del modelo:
import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
payload = json.dumps({
"key": "your_api_key",
"model_id": "cyberrealisticxlv211",
"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)
Funcionalidades
- Generación de imágenes ultra-realistas
- Escalabilidad a través de API de inferencia
- Soporte para múltiples lenguajes de programación (PHP, Node, Java)
- Parametros personalizables como prompt, negative_prompt, ancho, alto, etc.
Casos de uso
- Generación de retratos ciberpunk ultrarrealistas
- Creación de contenido visual para marketing
- Diseño gráfico y arte digital