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/tangfeng-netidol-face")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Tangfeng Netidol Face
Base model: Flux.1 D Trained words: upper body, 1girl, a young woman, a chinese female, straight neckline dudou, floral embroidery pattern wide sleeves, see through chiffon hanfu, see through chinese clothes, skinny and petite physique, moist eyes, hourglass figure, fair skin, hair ornament, hair flower, braided updo, long hair, forehead mark, facial mark, realistic, portrait, chinese palace, garden, willow, railings, waterside, rainbow gradient dress, gesture, sunset,
🧠 Usage (Python)
🔑 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:895914@1002536", "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