Instructions to use Muapi/leaned-back-reverse-cowgirl-pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/leaned-back-reverse-cowgirl-pony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/leaned-back-reverse-cowgirl-pony") 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
Leaned Back Reverse Cowgirl pony
Base model: Pony Trained words: score_9,score_8_up,score_7_up,1girl,1boy,solo,best quality,highres,masterpiece,reverse cowgirl position,hetero,sex from behind,nude,fat boy,lbrc,nsfw,sex,completely nude,uncensored,on grass ,girl on top,lying,on back, outdoors,short hair,hime cut,white hair,white tank top,closed eyes,female orgasm,from above,
π§ Usage (Python)
π 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": "leaned-back-reverse-cowgirl-pony",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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