Instructions to use Muapi/sailor-venus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sailor-venus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/sailor-venus") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Sailor Venus
Base model: Illustrious Trained words: sailor venus,blonde hair,blue eyes,tiara,bow,red hair bow,half updo,long hair,yellow back bow,heart brooch,blue bow,orange choker,elbow gloves,jewelry,magical girl,leotard,orange sailor collar,orange skirt,sailor collar,sailor senshi uniform,skirt,white gloves,, aino minako,solo,blonde hair,long hair,blue eyes,medium breasts,earrings,school uniform,blue skirt,hair bow,white shirt,blue sailor collar,serafuku,shirt,long sleeves,pleated skirt,red bowtie,bowtie,
๐ง Usage (Python)
๐ Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "sailor-venus",
"lora_strength": 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/sailor-venus
Base model
KBlueLeaf/kohaku-xl-beta5