import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/china-ktv-girls-ktv")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]China KTV Girls | KTV ้ไบบ็ฏ่
Base model: Flux.1 D Trained words: black marble coffee table laden with fruits and drinks, girls_in_ktv_room, 4+ women standing in a tight line within a KTV room,a large tv screen behind them, looking at viewer,girls in various dresses and hairstyle,open space,white marble coffee table with fruits and drinks,dimly lit,illuminated by a distinct pink and purple ambient light,,, girls_in_ktv_room, 4 women ((striking dynamic poses and dancing in a KTV room)), , a large television screen displaying abstract blue color art behind them, girls in various dresses and hairstyle,open space,white marble coffee table with fruits and drinks,dimly lit,illuminated by a distinct pink and purple ambient light,
๐ง Usage (Python)
๐ Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1774828@2029983", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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black-forest-labs/FLUX.1-dev