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.