Instructions to use Muapi/korean-red-light-district with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/korean-red-light-district with Diffusers:
pip install -U diffusers transformers accelerate
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/korean-red-light-district") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Korean Red Light District | 집창촌 | 韩国红灯区
Base model: Flux.1 D Trained words: hos_girl, 1 girls with dress inside a modern and enclosed storefront,, she is sitting on a steel chair,, she is standing in doorway, leaning forward,head popping out, looking at camera,dutch angle,close up view,close up,, Inside the pink storefronts is bright pink lit,The interior is relatively bright. Out side the pink stoefront,the surrounding area is dimly lit, With a street corner visible in the background., clear glass facade, street reflection on glass
🧠 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:1779362@2034210", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
- Downloads last month
- 10
Model tree for Muapi/korean-red-light-district
Base model
black-forest-labs/FLUX.1-dev