haibao

stablediffusionapi
Texto a imagen

modelo Text-to-Image con Diffusers basado en StableDiffusionXLPipeline que ofrece resultados ultra realistas.

Como usar

Para utilizar el modelo, primero obtén una clave API del ModelsLab API. No se necesita pago.

import requests
import json

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

payload = json.dumps({
"key":  "your_api_key",
"model_id":  "haibao",
"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
Diffusers
Safetensors
Resultados ultra-realistas
Inference Endpoints

Casos de uso

Generación de imágenes ultra realistas a partir de texto
Creación de retratos ciberpunk con gran nivel de detalle
Producción de imágenes con iluminación cinemática y detalles hiperrealistas para uso artístico y publicitario.