Instructions to use Ching2602/blinkfullnelson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/blinkfullnelson 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("Ching2602/blinkfullnelson") prompt = "Vagina: The video begins with a close-up shot of a woman. The video then jumpcuts to the same woman having sex in full nelson position in the same location where she is being quickly penetrated in her vagina while her legs are held high and wide apart by a man positioned behind her his hands go from behind her over her thighs under her knees and hold onto the back of her head during the thrusting. She looks at the camera throughout the video. The man thrusts his penis into her vagina." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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