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/st.-louis-azur-lane")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]st. louis(azur lane)（圣路易斯）（碧蓝航线）
Base model: Illustrious Trained words: st.louis_(azur_lane),elbow gloves,taut dress,, st. louis (luxurious wheels) (azur lane),revealing clothes,, st. louis (blue and white pottery) (azur lane),chinese dress,white gloves,black thighhighs,garter straps,, st. louis (spirits in the snow) (azur lane),red kimono,fur trim,, st. louis (an afternoon on the lido deck) (azur lane),white bikini,eyewear on head,sarong,
🧠 Usage (Python)
🔑 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": "st.-louis-azur-lane",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
- Downloads last month
- 7
Model tree for Muapi/st.-louis-azur-lane
Base model
KBlueLeaf/kohaku-xl-beta5