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/pov-cowgirl-looking-down-updated")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Pov Cowgirl (Looking Down) [Updated]
Base model: Pony Trained words: CG_LD, 1girl, 1boy, pov, girl on top, straddling,, leaning forward, cleavage,, leaning back, underboob,, directly above viewer, (underboob:0.74), cleavage, from below,, from behind, ass, looking back,, looking at viewer,, dutch angle,, from below,, from above,, reaching for viewer,, arms up,, (pinning viewer down:1.2),, fully clothed,, open clothes,, completely naked,, sex,, imminent sex,, after sex,, penis, pussy,, pussy juice,, (cum in pussy, overflow, cum bubbling, cum on penis:1.3),, nipples,, breasts apart,, breasts together,, breast grab,, butt grab,, leg grab,, face grab,, (focus on breasts, head out of frame:1.3),
🧠 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": "pov-cowgirl-looking-down-updated",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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