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/glowing-screen-in-the-dark")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]glowing screen In the dark
Base model: Flux.1 D Trained words: glowing screen in the dark, dim lighting, vignetting, backlighting, shadow, night, 1girl, slim, model, woman, female, skinny, breasts, pale skin, long hair, realistic, photorealistic, caucasian beauty, nordic beauty, blonde hair, holding,, glowing screen in the dark, dim lighting, vignetting, backlighting, shadow, night, 1girl, slim, idol, woman, female, skinny, breasts, pale skin, long hair, realistic, photorealistic, asian beauty, black hair, petite figure, holding,, lying on bed, charging wire, long eyelashes, cleavage, sleeping, overhead,
🧠 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:1731712@1966000", "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