Instructions to use Muapi/on-side-missionary-concept-commission with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/on-side-missionary-concept-commission 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/on-side-missionary-concept-commission") 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
| 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 | |
| # On Side Missionary - Concept - COMMISSION | |
|  | |
| **Base model**: Illustrious | |
| **Trained words**: <lora:on-side-missionary-v8-illustriousxl-lora-nochekaiser:1>, on side missionary, blush, 1boy, ass, hetero, sweat, completely nude, lying, teeth, tongue, tongue out, sex, armpits, arm up, on side, sex from behind, licking, condom, condom wrapper, used condom, licking armpit, disgust, clenched teeth, | |
| ## 🧠 Usage (Python) | |
| 🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys) | |
| ```python | |
| 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": "on-side-missionary-concept-commission", | |
| "lora_strength": 1.0, | |
| "width": 1024, | |
| "height": 1024, | |
| "num_images": 1 | |
| } | |
| print(requests.post(url, headers=headers, json=payload).json()) | |
| ``` | |