Instructions to use Muapi/mouth-pull-pov-illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mouth-pull-pov-illustrious 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/mouth-pull-pov-illustrious") 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
metadata
license: openrail++
library_name: diffusers
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
tags:
- lora
- text-to-image
- stable-diffusion-xl
- illustrious
- illustrious
pipeline_tag: text-to-image
Mouth Pull - POV - Illustrious
Base model: Illustrious Trained words: mouth_pull, mthpll, open mouth, tongue out, pulling mouth, pov, pov hands, mouth_pull, mthpll, upper body, open mouth, tongue out, pulling mouth, pov, pov hands, hands pulling mouth, pull another's mouth, drool, saliva, finger in another's mouth, tears, frown, cum, cum on hair, cum on face, cum on tongue, cum in mouth, teeth, oral invitation, forced smile, tears, rolling eyes
🧠 Usage (Python)
🔑 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": "mouth-pull-pov-illustrious",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
