import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/pokemon-may-oras-multiple-outfits")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Pokemon - May - ORAS Multiple Outfits
Base model: Pony Trained words: Mayoras, grey eyes, 1default1, red hairband, bow hairband, red shirt, sleeveless, white shorts, bike shorts under shorts, yellow footwear, fanny pack, yellow bag, 2spring2, pink dress, yellow pantyhose, pink choker, pink footwear, yellow hairband, rabbit ears, wrist cuffs, 3anniversary3, red dress, black gloves, black footwear, high heels, hair ornament, 4sygna4, twintails, orange shirt, orange skirt, hair ornament, orange wristband, red footwear, Contest outfit, idol, hair tuft, white shirt, hair bow, pink bow, pink skirt, tutu, pink footwear, high heels
🧠 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": "pokemon-may-oras-multiple-outfits",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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