gomoporn1

Model trained with AI Toolkit by Ostris

Prompt

gomoporn, explicit high-quality photo of two naked young men (age 18–22), fair-skinned, with visible muscles and erect penises, one giving a blowjob to the other, under soft natural light, cinematic composition, shot on Canon EOS 5D Mark IV, f/1.8, ISO 100

Prompt

gomoporn, gay sex scene between two slim, shaved men in a modern bedroom, one kneeling behind the other in doggy-style position, natural skin texture, soft indoor lighting, shallow depth of field, 35mm lens, high dynamic range

Prompt

gomoporn, full-body shot of two nude men having anal sex in the woods, forest background, sunlight filtering through trees, standing position, visible penetration, detailed lighting and shadows, RAW photo style, 4K resolution look

Prompt

gomoporn, close-up of oral sex: one man sucking anothers erect penis, intense eye contact, saliva visible, sweat on skin, shot with 85mm lens, sharp focus on faces and penis, warm color grading, studio light

Prompt

gomoporn, explicit NSFW photo of two nude young gay men with muscular but lean bodies, lying on a white bed in missionary position, one with legs raised, high-detail skin and shadows, captured at golden hour, soft bokeh background, real lens blur

Trigger words

You should use gomoporn to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

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

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Faitlesses/gomoporn1', weight_name='gomoporn1.safetensors')
image = pipeline('gomoporn, explicit high-quality photo of two naked young men (age 18–22), fair-skinned, with visible muscles and erect penises, one giving a blowjob to the other, under soft natural light, cinematic composition, shot on Canon EOS 5D Mark IV, f/1.8, ISO 100').images[0]
image.save("my_image.png")

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