import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/miyabi-hoshimi-zenless-zone-zero-illustriousxl")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Miyabi Hoshimi ζθ§ι | Zenless Zone Zero [IllustriousXL]
Base model: Illustrious Trained words: hsmyb, animal ears, animal ear fluff, red eyes, white pupils, bright pupils, black hair, long hair, blunt bangs, sidelocks, half up braid, medium breasts, green jacket, open jacket, wide sleeves, chest strap, id card, white collared shirt, black necktie, arm strap, high-waist skirt, black skirt, long skirt, pleated skirt, belt, tassel, black pantyhose, black boots, high heel boots, single fingerless glove, black gloves, single mechanical arm, holding sword, katana, disembodied eye
π§ Usage (Python)
π Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "miyabi-hoshimi-zenless-zone-zero-illustriousxl",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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