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/partially-submerged-pov-concept")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Partially Submerged POV - Concept
Base model: Illustrious Trained words: lora:partially-submerged-pov-v3-illustriousxl-lora-nochekaiser:1, partially submerged pov, looking at viewer, blush, smile, 1boy, closed mouth, sitting, nipples, hetero, completely nude, solo focus, water, wet, from above, looking up, partially submerged, bathing, bath, sitting on lap, bathtub, shared bathing, mixed-sex bathing,
🧠 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": "partially-submerged-pov-concept",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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