How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/samus-aran-metroid-sdxl-lora")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Samus Aran/サムス・アラン (Metroid) SDXL LoRA

preview

Base model: SDXL 1.0 Trained words: defSamus, blonde hair, bodysuit, blue clothes, blue pants, high heels, altSamus, blonde hair, blue crop top, blue shorts, bare shoulders, midriff, altSamus, blonde hair, orange crop top, orange shorts, bare shoulders, midriff

🧠 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": "samus-aranサムスアラン-metroid-sdxl-lora",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
Downloads last month
12
Inference Providers NEW

Model tree for Muapi/samus-aran-metroid-sdxl-lora

Adapter
(9683)
this model