proteus-v5

stablediffusionapi
Texto a imagen

Proteus V5 es un modelo de la categoría Text-to-Image, basado en la tecnología de Diffusers y Safetensors. Este modelo permite generar imágenes ultra-realistas utilizando la plataforma StableDiffusionXLPipeline de modelslab.com. Ideal para la creación de retratos hiperrealistas y otras aplicaciones creativas.

Como usar

Para usar el modelo, sigue estos pasos:

import requests
import json

url = "https://modelslab.com/api/v6/images/text2img"

payload = json.dumps({
"key": "your_api_key",
"model_id": "proteus-v5",
"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

Text-to-Image
Ultra-realista
StableDiffusionXLPipeline
Uso de Diffusers y Safetensors

Casos de uso

Generar imágenes ultra-realistas
Crear retratos hiperrealistas
Aplicaciones creativas en diseño gráfico y arte digital