Instructions to use profpeng/blinkmissionaryv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkmissionaryv2 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/blinkmissionaryv2") prompt = "The video begins with a close-up of a woman sitting in a mall. The video then jumpcuts to the same woman now having sex in missionary position. The woman has large breasts, which are exposed and partially covered by one of her hands as she is grabbing her left breast with her right hand. She is lying on her back on a reflective table in a mall with her legs spread wide. A man's penis is visible entering her vagina from below.The man is positioned standing between her legs infront of her thrusting his penis into her vagina. Throughout the scene, she appears to be experiencing pleasure, often with her mouth open or eyes closed as she lies back. " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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