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/chisato-nishikigi-lycoris-recoil")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Chisato Nishikigi (ι¦ζ¨ εζ) - Lycoris Recoil (γͺγ³γͺγΉγ»γͺγ³γ€γ«)
Base model: Pony Trained words: chisato nishikigi, short hair, bangs, blonde hair, red eyes, hair ribbon, one side up, bob cut,, shirt, long sleeves, dress, ribbon, white shirt, collared shirt, belt, neck ribbon, red dress, blue ribbon, pleated dress, grey dress, two-tone dress, red belt, lycoris uniform,, navel, bare shoulders, thighs, stomach, crop top, buruma, sportswear, zipper pull tab, red buruma, sports bikini,, japanese clothes, kimono, apron, red ribbon, waitress, red kimono,, shirt, bare shoulders, twintails, collarbone, hair ribbon, white shirt, frills, off shoulder, red ribbon, short twintails, off-shoulder shirt, frilled shirt,
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": "chisato-nishikigi-lycoris-recoil",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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