Instructions to use Muapi/flux.1-d-realistic-christmas-attire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux.1-d-realistic-christmas-attire 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/flux.1-d-realistic-christmas-attire") 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
[Flux.1 D][Realistic] Christmas attire | 圣诞小裙叽
Base model: Flux.1 D Trained words: A photo of a beutiful tall woman in red frilled petticoat dress with wide skirt and puffy short sleeves and bow and choker and wrist cuffs. She is also wearing white frilled socks and red high heels and bonnet with strawberry hair ornament and rabbit hair ornament.
🧠 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:1048265@1184204", "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/flux.1-d-realistic-christmas-attire
Base model
black-forest-labs/FLUX.1-dev