Instructions to use Muapi/fellatio-on-couch-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fellatio-on-couch-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/fellatio-on-couch-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
Fellatio On Couch - Concept
Base model: Illustrious Trained words: lora:fellatio-on-couch-v6-illustriousxl-lora-nochekaiser:1, fellatio on couch, blush, smile, 1boy, nipples, ass, hetero, heart, nude, lying, penis, uncensored, couch, on couch, erection, testicles, oral, fellatio, on stomach, feet up, penis grab, caressing testicles, looking up, looking at another,
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": "fellatio-on-couch-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/fellatio-on-couch-concept
Base model
KBlueLeaf/kohaku-xl-beta5