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/may-pokemon")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]May (γγ«γ«) - Pokemon (γγ±γ’γ³)
Base model: Pony Trained words: lora:pokemon-may-anime-ponyxl-lora-nochekaiser:1, pokemonmay, blue eyes, brown hair, bandana, long hair, red bandana, twintails, hair between eyes,, bike shorts, collared shirt, gloves, microskirt, multicolored shirt, pencil skirt, red shirt, shirt, short sleeves, skirt, white skirt,
π§ Usage (Python)
π 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": "may-pokemon",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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