Instructions to use Muapi/girl-like-christmas-tree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/girl-like-christmas-tree 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/girl-like-christmas-tree") 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
girl like christmas tree
Base model: Flux.1 D Trained words: masterpiece, best quality, christmas tree with festive lights, 1girl on stepladder, hand on the star of tree top, medium height, slim figure, cleavage, santa hat, fur-trimmed coat, miniskirt, stockings, boots, people, house, building, outdoors, plaza, garden party, sunset, cloudy sky,, masterpiece, best quality, christmas tree with festive lights, 1girl on stepladder, hand on the star of tree top, medium height, slim figure, cleavage, santa hat, fur trim, red coat, fur-trimmed coat, stockings, boots, people, indoors, shopping mall, ceiling, day,
🧠 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:1068389@1211668", "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/girl-like-christmas-tree
Base model
black-forest-labs/FLUX.1-dev