Instructions to use Muapi/upside-down-missionary-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/upside-down-missionary-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/upside-down-missionary-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
File size: 1,249 Bytes
42a7474 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | ---
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
---
# Upside-Down Missionary - Concept

**Base model**: Illustrious
**Trained words**: <lora:upside-down-missionary-v2-illustriousxl-lora-nochekaiser:1>, upside-down missionary, completely nude, navel, nipples, blush, open mouth, 1boy, closed eyes, hetero, lying, penis, pussy, solo focus, indoors, sex, spread legs, cum, on back, vaginal, pubic hair, cum in pussy, ejaculation, male pubic hair, missionary, m legs, x-ray, internal cumshot, uterus,
## 🧠 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": "upside-down-missionary-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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