Instructions to use Muapi/samus-aran-metroid-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/samus-aran-metroid-sdxl-lora with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Samus Aran/サムス・アラン (Metroid) SDXL LoRA
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
Model tree for Muapi/samus-aran-metroid-sdxl-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0