Instructions to use betyjx/thebehindseg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use betyjx/thebehindseg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("betyjx/thebehindseg") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
3 in 1 behind seg

- Prompt
- -
Model description
compilation of I2V seg loras
I2V - Sex from behind (front facing) sfb3hind, sfbehind
DR34ML4Y - All-In-One NSFW (WAN/LTX2) m15510n4ry bl0wj0b c0wg1rl d0gg1e d0ubl3_bj
Slop Bounce WAN 2.2 I2V her breasts bounce, shake, jiggle and sway
Prompt d0gg1e, front view, sfb3hind, sfbehind, swinging breasts, slides in and out, fast, ((long thrusts)), rough, he pulls her hair tighly with his right hand, he has his left hand on her neck, the woman's ((head pulled back)), ((neck arched back)), ((head tilted back from hair pull tension)), (looking up). He penetrates her with his cock sliding in and out with effortless rhythm, (his hips pressing into the womans ass). her breasts bounce, jiggle and sway. The woman's facial expressions show intense pleasure and enjoyment.
Negative prompt The tones are vibrant, overexposed, static, details are unclear, subtitles, style, work, painting, image, still, overall grayish, worst quality, low quality, JPEG compression artifacts, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, distorted limbs, merged fingers, motionless image, cluttered background, three legs, water drops, water dripping, running water, rough water, water drops
Trigger words
You should use in description to trigger the image generation.
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Base model
Wan-AI/Wan2.2-I2V-A14B