Instructions to use Muapi/glowing-screen-in-the-dark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/glowing-screen-in-the-dark 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/glowing-screen-in-the-dark") 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
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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Model tree for Muapi/glowing-screen-in-the-dark
Base model
black-forest-labs/FLUX.1-dev