Instructions to use profpeng/blinkfrontdoggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/blinkfrontdoggy 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/blinkfrontdoggy") prompt = "The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex with a man in doggystyle position in the the same location. She is positioned standing, while the man stands behind her, The man is muscular his hands are wrapped around the womans's stomach holding her upright while embracing her from behind, he holds her close as he thrusts into her. As the scene progresses, she moves rhythmically with him. she is fully nude. the man aggressively rams his hips into her." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 134 Bytes
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