Instructions to use Muapi/full-nelson-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/full-nelson-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/full-nelson-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
Full Nelson - Concept
Base model: Illustrious Trained words: lora:full-nelson-v5-illustriousxl-lora-nochekaiser:1, full nelson, blush, nipples, closed eyes, hetero, sweat, completely nude, uncensored, teeth, penis, pussy, sex, vaginal, testicles, group sex, anal, threesome, mmf threesome, folded, double penetration, lifting person, reverse suspended congress
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": "full-nelson-concept",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
- Downloads last month
- 4
Model tree for Muapi/full-nelson-concept
Base model
KBlueLeaf/kohaku-xl-beta5