Instructions to use Muapi/zoe-lee-ladybug-miraculous.-different-models-and-attires with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/zoe-lee-ladybug-miraculous.-different-models-and-attires 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/zoe-lee-ladybug-miraculous.-different-models-and-attires") 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
Zoe Lee, Ladybug, Miraculous. Different models and attires.
Base model: Flux.1 D Trained words: vivid shade of azure eyes, peach skin tone, light freckles, shoulder length sandy blonde hair that has significantly shorter bangs with the ends reaching her shoulders, hot pink dyed strands on the left side, Zoe Lee, black faux leather jacket, orange belt, skinny yellow sport jeans, white t-shirt with honeycomb flower
🧠 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:709988@1601041", "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/zoe-lee-ladybug-miraculous.-different-models-and-attires
Base model
black-forest-labs/FLUX.1-dev