Instructions to use Muapi/prone-bone-from-side-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/prone-bone-from-side-concept 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/prone-bone-from-side-concept") 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
Prone Bone From Side - Concept
Base model: Illustrious Trained words: lora:prone-bone-from-side-v4-illustriousxl-lora-nochekaiser:1, prone bone from side, blush, open mouth, 1boy, nipples, ass, hetero, sweat, nude, solo focus, sex, completely nude, saliva, pussy juice, trembling, sex from behind, all fours, drooling, rolling eyes, stomach bulge, penis, prone bone, motion lines, motion blur,
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": "prone-bone-from-side-concept",
"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/prone-bone-from-side-concept
Base model
KBlueLeaf/kohaku-xl-beta5