Instructions to use Muapi/implied-fellatio-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/implied-fellatio-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/implied-fellatio-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
Implied Fellatio - Concept
Base model: Illustrious Trained words: lora:implied-fellatio-v5-illustriousxl-lora-nochekaiser:1, implied fellatio, blush, open mouth, 1boy, sitting, ass, comic, hetero, heart, sweat, nude, uncensored, barefoot, pussy, pants, belt, from behind, feet, completely nude, toes, kneeling, anus, black pants, on bed, soles, back, erection, formal, trembling, suit, all fours, bulge, 2koma, steaming body, sound effects, erection under clothes, clothed male nude female, looking at penis, penis awe, instant loss,
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": "implied-fellatio-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/implied-fellatio-concept
Base model
KBlueLeaf/kohaku-xl-beta5