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-against-the-wall-remake")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Pov Against the Wall [Remake]
Base model: Pony Trained words: Pov against the wall no sex, , Pov against the wall standing, , Pov against the wall one leg up, , Pov against the wall straddling, , Pov against the wall doggy, , Pov against the wall doggy straddling, , pussy, breasts, penis, , butt, back, penis, , clothed,, open clothes,, clothes lift,, nipples,, naked,, sex,, trembling, cumming, creampie, , breast grab, , butt grab, , arm grab,, torso grab,, head grab,, face grab,, leg grab,, Reaching for viewer, arms out stretched
🧠 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-against-the-wall-remake",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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