Instructions to use profpeng/blinkspitroast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkspitroast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/blinkspitroast") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
blinkspitroast

- Prompt
- -
Model description
Standing The video starts with a woman. The video then jumpcuts to the woman having sex in spitroast position with two men. The woman is standing on the ground. The man in the background is standing behind her, penetrating her from behind while holding her waist with his hands. The man in the foreground is standing. The woman is sucking the foreground man's penis. The woman looks directly at the camera the entire time.
Kneeling The video starts with a woman. The video then jumpcuts to the woman having sex in spitroast position with two men. The woman is kneeling on the ground. The man in the background is kneeling behind her, penetrating her from behind while holding her waist with his hands. The man in the foreground is lying down. The woman moving her head up and down frantically sucking the penis. The woman looks directly at the camera the entire time.
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Model tree for profpeng/blinkspitroast
Base model
Wan-AI/Wan2.2-I2V-A14B