stablediffusionapi/dreamshaper-xl-turbo-v2.1

Instalación y uso con Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/dreamshaper-xl-turbo-v2.1", dtype=torch.bfloat16, device_map="cuda")

prompt = "a girl wandering through the forest"
image = pipe(prompt).images[0]

Uso mediante la API de ModelsLab:

import requests
import json

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

payload = json.dumps({
  "key": "your_api_key",
  "model_id": "dreamshaper-xl-turbo-v2.1",
  "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": "",
  "lora": "",
  "webhook": None,
  "track_id": None
})

headers = {
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)