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/source-engine-aesthetic")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Source Engine Aesthetic
Base model: Flux.1 D Trained words: s0urc3, Computer-generated scene of, skybox backdrop, video game environment, Low-polygon 3D modeling with clean simple geometry, matte textures with minimal specular highlights, baked ambient occlusion, shadow mapping, directional lighting with sharp shadow edges, limited dynamic lighting effects, stylized environmental textures with visible tiling, subtle fog effect in distant areas, hard geometric building edges with minimal beveling, semi-realistic proportions with slightly exaggerated features, high contrast between light and shadow areas
🧠 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:1345659@1519757", "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