Keltezaa/anal-riding-missionary

anal riding & missionary

Prompt

Sexy blonde female riding anal sex, orgasm, pov

Prompt

Sexy blonde female riding anal sex, orgasm, pov

Prompt

Sexy blonde female Missionary anal sex, orgasm, pov

Prompt

anal missionary, anal sex, ass fuck missionary, black hair, necklace, navel, beach, missionary, nipples, 1boy, on back, looking at viewer, censored, underwear, eyewear on head, red hair, blue eyes, spread legs, bottomless

Prompt

anal missionary, anal sex, ass fuck missionary, male pubic hair, breasts apart, breasts, piercing, cum, bikini, spread legs, eyewear on head, on her back, outdoors, closed eyes, uncensored, mole on thigh, blonde hair, mole, long hair

Prompt

anal missionary, anal sex, ass fuck missionary, male pubic hair, breasts apart, breasts, piercing, cum, bikini, spread legs, eyewear on head, on her back, outdoors, closed eyes, uncensored, mole on thigh, blonde hair, mole, long hair

Prompt

anal missionary, anal sex, ass fuck missionary, male pubic hair, breasts apart, breasts, piercing, cum, bikini, spread legs, eyewear on head, on her back, outdoors, closed eyes, uncensored, mole on thigh, blonde hair, mole, long hair

Model description

Enjoy 🤗

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/anal-riding-missionary', weight_name='anal_missionary.safetensors')
image = pipeline('anal missionary, anal sex, ass fuck missionary, male pubic hair, breasts apart, breasts, piercing, cum, bikini, spread legs, eyewear on head, on her back, outdoors, closed eyes, uncensored, mole on thigh, blonde hair, mole, long hair').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers