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/dawn-pokemon-commission")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Dawn (γγ«γͺ) - Pokemon (γγ±γ’γ³) - COMMISSION
Base model: Pony Trained words: pokemondawn, lora:pokemon-dawn-anime-ponyxl-lora-nochekaiser:1, pokemon dawn, black hair, blue eyes, sidelocks, long hair,, bare shoulders, beanie, black shirt, black socks, bracelet, hat, jewelry, kneehighs, miniskirt, pink skirt, red scarf, scarf, shirt, skirt, sleeveless, sleeveless shirt, white headwear,
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": "dawn-pokemon-commission",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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