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/lucy-heartfilia-fairy-tail")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Lucy Heartfilia (γ«γΌγ·γ£γ»γγΌγγγ£γͺγ’) - Fairy Tail (γγ§γ’γͺγΌγγ€γ«)
Base model: Pony Trained words: lucy heartfilia, blonde hair, brown eyes, long hair,, one side up, ribbon, hair ribbon, blue ribbon, skirt, shirt, bare shoulders, boots, sleeveless, blue skirt, sleeveless shirt, white shirt, zipper,, twintails, low twintails, sidelocks, navel, cleavage, detached sleeves, midriff, crop top, cropped jacket, blue jacket, skirt, black skirt, miniskirt, belt, thighhighs, black thighhighs,
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": "lucy-heartfilia-fairy-tail",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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